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description Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancearXiv Roueff, Antoine; Gerin, Maryvonne; Gratier, Pierre; Levrier, François; Pety, Jérôme; Gaudel, Mathilde; Goicoechea, Javier,; Orkisz, Jan; De Souza Magalhaes, Victor; Vono, Maxime; Bardeau, Sébastien; Bron, Emeric; Chanussot, Jocelyn; Chainais, Pierre; Guzman, Viviana; Hughes, Annie; Kainulainen, Jouni; Languignon, David; Le Bourlot, Jacques; Le Petit, Franck; Liszt, Harvey; marchal, antoine; Miville-Deschênes, Marc-Antoine; Peretto, Nicolas; Roueff, Evelyne; Sievers, Albrecht;CO isotopologue transitions are routinely observed in molecular clouds to probe the column density of the gas, the elemental ratios of carbon and oxygen, and to trace the kinematics of the environment. We aim at estimating the abundances, excitation temperatures, velocity field and velocity dispersions of the three main CO isotopologues towards a subset of the Orion B molecular cloud. We use the Cramer Rao Bound (CRB) technique to analyze and estimate the precision of the physical parameters in the framework of local-thermodynamic-equilibrium excitation and radiative transfer with an additive white Gaussian noise. We propose a maximum likelihood estimator to infer the physical conditions from the 1-0 and 2-1 transitions of CO isotopologues. Simulations show that this estimator is unbiased and efficient for a common range of excitation temperatures and column densities (Tex > 6 K, N > 1e14 - 1e15 cm-2). Contrary to the general assumptions, the different CO isotopologues have distinct excitation temperatures, and the line intensity ratios between different isotopologues do not accurately reflect the column density ratios. We find mean fractional abundances that are consistent with previous determinations towards other molecular clouds. However, significant local deviations are inferred, not only in regions exposed to UV radiation field but also in shielded regions. These deviations result from the competition between selective photodissociation, chemical fractionation, and depletion on grain surfaces. We observe that the velocity dispersion of the C18O emission is 10% smaller than that of 13CO. The substantial gain resulting from the simultaneous analysis of two different rotational transitions of the same species is rigorously quantified. The CRB technique is a promising avenue for analyzing the estimation of physical parameters from the fit of spectral lines. 27 pages, 23 PDF figures. Accepted for publication in A&A. Uses aa latex macro
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Denmark, Sweden, France, Netherlands, Denmark, Denmark, Sweden, United Kingdom, United Kingdom, FranceWiley NIH | Heart Failure Clinical Tr..., EC | inHForm, NIH | UCLA Clinical Translation... +10 projectsNIH| Heart Failure Clinical Trials Network ,EC| inHForm ,NIH| UCLA Clinical Translational Science Institute ,NIH| Renal Sympathetic Denervation in Congestive Heart Failure ,EC| BigData Heart ,NIH| Heart Failure Clinical Research Network Coordinating Center ,NIH| Genomics of Cardiac Arrhythmias ,NIH| SALsalate to Improve Exercise toleraNce and LVDD in T2dm-DHF (SALIENT-DHF trial) ,NIH| Heart Failure Clinical Research Network Regional Clinical Center (U10) ,NIH| Mayo Heart Failure Regional Clinical Center ,NIH| Harvard Regional Clinical Center of the NHLBI Heart Failure Network ,NIH| Mid Atlantic Heart Failure Network ,NIH| New England, New York and Quebec Regional Clinical CenterR. Thomas Lumbers; Sonia Shah; Honghuang Lin; Tomasz Czuba; Albert Henry; Daniel I. Swerdlow; Anders Mälarstig; Charlotte Andersson; Niek Verweij; Michael V. Holmes; Johan Ärnlöv; Per H. Svensson; Harry Hemingway; Neneh Sallah; Peter Almgren; Krishna G. Aragam; Géraldine Asselin; Joshua D. Backman; Mary L. Biggs; Heather L. Bloom; Eric Boersma; Jeffrey Brandimarto; Michael R. Brown; Hans-Peter Brunner-La Rocca; David J. Carey; Mark Chaffin; Daniel I. Chasman; Olympe Chazara; Xing Chen; Xu Chen; Jonathan H. Chung; William A. Chutkow; John G.F. Cleland; James P. Cook; Simon de Denus; Graciela E. Delgado; Spiros Denaxas; Alex S. F. Doney; Marcus Dörr; Samuel C. Dudley; Gunnar Engström; Ghazaleh Fatemifar; Chris Finan; Ian Ford; Francoise Fougerousse; René Fouodjio; Mohsen Ghanbari; Vilmantas Giedraitis; Franco Giulianini; John S. Gottdiener; Stefan Gross; Daníel F. Guðbjartsson; Hongsheng Gui; Rebecca Gutmann; Christopher M. Haggerty; Pim van der Harst; Åsa K. Hedman; Anna Helgadottir; Hans L. Hillege; Craig L. Hyde; Jaison Jacob; J. Wouter Jukema; Frederick K. Kamanu; Isabella Kardys; Maryam Kavousi; Kay-Tee Khaw; Marcus E. Kleber; Lars Køber; Andrea Koekemoer; Bill Kraus; Karoline Kuchenbaecker; Claudia Langenberg; Lars Lind; Cecilia M. Lindgren; Barry London; Luca A. Lotta; Ruth C. Lovering; Jian'an Luan; Patrik K. E. Magnusson; Anubha Mahajan; Douglas L. Mann; Kenneth B. Margulies; Nicholas A Marston; Winfried März; John J.V. McMurray; Olle Melander; Giorgio E. M. Melloni; Ify R. Mordi; Michael Morley; Andrew D. Morris; Andrew P. Morris; Alanna C. Morrison; Michael W. Nagle; Christopher P. Nelson; Christopher Newton-Cheh; Alexander Niessner; Teemu J. Niiranen; Christoph Nowak; Michelle L. O'Donoghue; Anjali T. Owens; Colin N. A. Palmer; Guillaume Paré; Markus Perola; Louis Philippe Lemieux Perreault; Eliana Portilla-Fernandez; Kenneth Rice; Paul M. Ridker; Simon P. R. Romaine; Carolina Roselli; Jerome I. Rotter; Christian T. Ruff; Marc S. Sabatine; Perttu Salo; Veikko Salomaa; Jessica van Setten; Alaa Shalaby; Diane T. Smelser; Nicholas L. Smith; Kari Stefansson; Steen Stender; David J. Stott; G Sveinbjörnsson; Mari Liis Tammesoo; Jean-Claude Tardif; Kent D. Taylor; Maris Teder-Laving; Alexander Teumer; Guðmundur Thorgeirsson; Unnur Thorsteinsdottir; Christian Torp-Pedersen; Stella Trompet; Danny Tuckwell; Benoit Tyl; André G. Uitterlinden; Felix Vaura; Abirami Veluchamy; Peter M. Visscher; Uwe Völker; Adriaan A. Voors; Xiaosong Wang; Nicholas J. Wareham; Peter Weeke; Raul Weiss; Kerri L. Wiggins; Heming Xing; Jian Yang; Yifan Yang; Laura M. Yerges-Armstrong; Bing Yu; Faiez Zannad; Faye Zhao; Jemma B. Wilk; Hilma Holm; Naveed Sattar; Steven A. Lubitz; David E. Lanfear; Svati H. Shah; Michael E. Dunn; Quinn S. Wells; Folkert W. Asselbergs; Aroon D. Hingorani; Marie-Pierre Dubé; Nilesh J. Samani; Chim C. Lang; Thomas P. Cappola; Patrick T. Ellinor; Ramachandran S. Vasan; J. Gustav Smith;Abstract: Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P < 5 × 10−8 under an additive genetic model. Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Funder: Department of Medicine, Boston University School of Medicine; Id: http://dx.doi.org/10.13039/100008748 Funder: National Heart, Lung, and Blood Institute; Id: http://dx.doi.org/10.13039/100000050 Funder: Knut and Alice Wallenberg Foundation; Id: http://dx.doi.org/10.13039/501100004063 Funder: NIHR UCLH Biomedical Research Centre; Id: http://dx.doi.org/10.13039/501100012317 Funder: Skåne University Hospital; Id: http://dx.doi.org/10.13039/501100011077 Funder: Evans Medical Foundation; Id: http://dx.doi.org/10.13039/100015927 Funder: Crafoord Foundation; Id: http://dx.doi.org/10.13039/501100003173 Funder: British Heart Foundation Cardiovascular Biomedicine Funder: Swedish National Health Service
NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 3visibility views 3 download downloads 43 Powered bymore_vert NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 Italy, France, Italy, Italy, Italy, Spain, ItalyOxford University Press (OUP) UKRI | AlwaysClean, UKRI | Integrated Mobile Welding...UKRI| AlwaysClean ,UKRI| Integrated Mobile Welding For High Strength In-Field Pipe ManufacturingLiteBIRD Collaboration; Allys, E.; Arnold, K.; Aumont, J.; Aurlien, R.; Azzoni, S.; Baccigalupi, C.; Banday, A. J.; Banerji, R.; Barreiro, R. B.; Bartolo, N.; Bautista, L.; Beck, D.; Beckman, S.; Bersanelli, M.; Boulanger, F.; Brilenkov, M.; Bucher, M.; Calabrese, E.; Campeti, P.; Carones, A.; Casas, F. J.; Catalano, A.; Chan, V.; Cheung, K.; Chinone, Y.; Clark, S. E.; Columbro, F.; D'Alessandro, G.; de Bernardis, P.; de Haan, T.; de la Hoz, E.; De Petris, M.; Della Torre, S.; Diego-Palazuelos, P.; Dobbs, M.; Dotani, T.; Duval, J. M.; Elleflot, T.; Eriksen, H. K.; Errard, J.; Essinger-Hileman, T.; Finelli, F.; Flauger, R.; Franceschet, C.; Fuskeland, U.; Galloway, M.; Ganga, K.; Gerbino, M.; Gervasi, M.; Génova-Santos, R. T.; Ghigna, T.; Giardiello, S.; Gjerløw, E.; Grain, J.; Grupp, F.; Gruppuso, A.; Gudmundsson, J. E.; Halverson, N. W.; Hargrave, P.; Hasebe, T.; Hasegawa, M.; Hazumi, M.; Henrot-Versillé, S.; Hensley, B.; Hergt, L. T.; Herman, D.; Hivon, E.; Hlozek, R. A.; Hornsby, A. L.; Hoshino, Y.; Hubmayr, J.; Ichiki, K.; Iida, T.; Imada, H.; Ishino, H.; Jaehnig, G.; Katayama, N.; Kato, A.; Keskitalo, R.; Kisner, T.; Kobayashi, Y.; Kogut, A.; Kohri, K.; Komatsu, E.; Komatsu, K.; Konishi, K.; Krachmalnicoff, N.; Kuo, C. L.; Lamagna, L.; Lattanzi, M.; Lee, A. T.; Leloup, C.; Levrier, F.; Linder, E.; Luzzi, G.; Macias-Perez, J.; Maciaszek, T.; Maffei, B.; Maino, D.; Mandelli, S.; Martínez-González, E.; Masi, S.; Massa, M.; Matarrese, S.; Matsuda, F. T.; Matsumura, T.; Mele, L.; Migliaccio, M.; Minami, Y.; Moggi, A.; Montgomery, J.; Montier, L.; Morgante, G.; Mot, B.; Nagano, Y.; Nagasaki, T.; Nagata, R.; Nakano, R.; Namikawa, T.; Nati, F.; Natoli, P.; Nerval, S.; Noviello, F.; Odagiri, K.; Oguri, S.; Ohsaki, H.; Pagano, L.; Paiella, A.; Paoletti, D.; Passerini, A.; Patanchon, G.; Piacentini, F.; Piat, M.; Pisano, G.; Polenta, G.; Poletti, D.; Prouvé, T.; Puglisi, G.; Rambaud, D.; Raum, C.; Realini, S.; Reinecke, M.; Remazeilles, M.; Ritacco, A.; Roudil, G.; Rubino-Martin, J. A.; Russell, M.; Sakurai, H.; Sakurai, Y.; Sasaki, M.; Scott, D.; Sekimoto, Y.; Shinozaki, K.; Shiraishi, M.; Shirron, P.; Signorelli, G.; Spinella, F.; Stever, S.; Stompor, R.; Sugiyama, S.; Sullivan, R. M.; Suzuki, A.; Svalheim, T. L.; Switzer, E.; Takaku, R.; Takakura, H.; Takase, Y.; Tartari, A.; Terao, Y.; Thermeau, J.; Thommesen, H.; Thompson, K. L.; Tomasi, M.; Tominaga, M.; Tristram, M.; Tsuji, M.; Tsujimoto, M.; Vacher, L.; Vielva, P.; Vittorio, N.; Wang, W.; Watanuki, K.; Wehus, I. K.; Weller, J.; Westbrook, B.; Wilms, J.; Winter, B.; Wollack, E. J.; Yumoto, J.; Zannoni, M.;handle: 20.500.11767/132550 , 2434/947309 , 11577/3467499 , 10261/306493 , 11573/1685127
This work is supported in Japan by ISAS/JAXA for Pre-Phase A2 studies, by the acceleration program of JAXA research and development directorate, by the World Premier International Research Center Initiative (WPI) of MEXT, by the JSPS Core-to-Core Program, and by JSPS KAKENHI. The Italian LiteBIRD phase A contribution is supported by the Italian Space Agency (ASI Grants No. 2020-9-HH.0 and 2016-24-H.1-2018), the National Institute for Nuclear Physics (INFN), the National Institute for Astrophysics (INAF), and a PGR grant from the Italian Ministry of Foreign Affairs and International Cooperation. The French LiteBIRD phase A contribution is supported by the Centre National d’Etudes Spatiale (CNES), by the Centre National de la Recherche Scientifique (CNRS), and by the Commissariat a l’Energie Atomique (CEA). The Canadian contribution is supported by the Canadian Space Agency. The US contribution is supported by NASA grant no. 80NSSC18K0132. Norwegian participation in LiteBIRD is supported by the Research Council of Norway (Grant No. 263011). The Spanish LiteBIRD phase A contribution is supported by the Spanish Agencia Estatal de Investigacion (AEI), project refs. PID2019-110610RBC21 and AYA2017-84185-P. Funds that support the Swedish contributions come from the Swedish National Space Agency (SNSA/Rymdstyrelsen) and the Swedish Research Council (Reg. no. 2019-03959). The German participation in LiteBIRD is supported in part by the Excellence Cluster ORIGINS, which is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy (Grant No. EXC-2094- 390783311). LiteBIRD work has received funding from the European Research Council (ERC) under the Horizon 2020 Research and Innovation Programme. This research used resources of the Central Computing System owned and operated by the Computing Research Center at KEK, as well as resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy. LiteBIRD the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. The Japan Aerospace Exploration Agency (JAXA) selected LiteBIRD in May 2019 as a strategic large-class (L-class) mission, with an expected launch in the late 2020s using JAXA’s H3 rocket. LiteBIRD is planned to orbit the Sun-Earth Lagrangian point L2, where it will map the cosmic microwave background (CMB) polarization over the entire sky for three years, with three telescopes in 15 frequency bands between 34 and 448 GHz, to achieve an unprecedented total sensitivity of 2.2 μK-arcmin, with a typical angular resolution of 0.5○ at 100 GHz. The primary scientific objective of LiteBIRD is to search for the signal from cosmic inflation, either making a discovery or ruling out well-motivated inflationary models. The measurements of LiteBIRD will also provide us with insight into the quantum nature of gravity and other new physics beyond the standard models of particle physics and cosmology. We provide an overview of the LiteBIRD project, including scientific objectives, mission and system requirements, operation concept, spacecraft and payload module design, expected scientific outcomes, potential design extensions and synergies with other projects. Subject Index LiteBIRD cosmic inflation, cosmic microwave background, B-mode polarization, primordial gravitational waves, quantum gravity, space telescope LiteBIRD Collaboration: et al. Peer reviewed
Archivio Istituziona... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023Data sources: Archivio della ricerca- Università di Roma La SapienzaBOA - Bicocca Open Archive; Progress of Theoretical and Experimental PhysicsArticle . 2023 . 2022License: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . 2022Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYhttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu54 citations 54 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023Data sources: Archivio della ricerca- Università di Roma La SapienzaBOA - Bicocca Open Archive; Progress of Theoretical and Experimental PhysicsArticle . 2023 . 2022License: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . 2022Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYhttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Report , Other literature type , Preprint 2018 Turkey, Italy, Italy, Germany, Portugal, Portugal, Italy, United Kingdom, Italy, Italy, Spain, Denmark, Italy, Poland, Italy, Italy, France, ItalySpringer Science and Business Media LLC Aaboud M.; Aad G.; Abbott B.; Abdinov O.; Abeloos B.; Abhayasinghe D. K.; Abidi S. H.; Abouzeid O. S.; Abraham N. L.; Abramowicz H.; Abreu H.; Abulaiti Y.; Acharya B. S.; Adachi S.; Adam L.; Adamczyk L.; Adelman J.; Adersberger M.; Adiguzel A.; Adye T.; Affolder A. A.; Afik Y.; Agheorghiesei C.; Aguilar-Saavedra J. A.; Ahmadov F.; Aielli G.; Akatsuka S.; Åkesson T. P. A.; Akilli E.; Akimov A. V.; Alberghi G. L.; Albert J.; Albicocco P.; Alconada Verzini M. J.; Alderweireldt S.; Aleksa M.; Aleksandrov I. N.; Alexa C.; Alexopoulos T.; Alhroob M.; Ali B.; Alimonti G.; Alison J.; Alkire S. P.; Allaire C.; Allbrooke B. M. M.; Allen B. W.; Allport P. P.; Aloisio A.; Alonso A.; Alonso F.; Alpigiani C.; Alshehri A. A.; Alstaty M. I.; Alvarez Gonzalez B.; Álvarez Piqueras D.; Alviggi M. G.; Amadio B. T.; Amaral Coutinho Y.; Ambler A.; Ambroz L.; Amelung C.; Amidei D.; Amor Dos Santos S. P.; Amoroso S.; Amrouche C. S.; Anastopoulos C.; Ancu L. S.; Andari N.; Andeen T.; Anders C. F.; Anders J. K.; Anderson K. J.; Andreazza A.; Andrei V.; Anelli C. R.; Angelidakis S.; Angelozzi I.; Angerami A.; Anisenkov A. V.; Annovi A.; Antel C.; Anthony M. T.; Antonelli M.; Antrim D. J. A.; Anulli F.; Aoki M.; Aparisi Pozo J. A.; Aperio Bella L.; Arabidze G.; Araque J. P.; Araujo Ferraz V.; Araujo Pereira R.; Arce A. T. H.; Ardell R. E.; Arduh F. A.; Arguin J. -F.; Argyropoulos S.; Armbruster A. J.; Armitage L. J.; Armstrong A.; Arnaez O.; Arnold H.; Arratia M.; Arslan O.; Artamonov A.; Artoni G.; Artz S.; Asai S.; Asbah N.; Asimakopoulou E. M.; Asquith L.; Assamagan K.; Astalos R.; Atkin R. J.; Atkinson M.; Atlay N. B.; Augsten K.; Avolio G.; Avramidou R.; Ayoub M. K.; Azuelos G.; Baas A. E.; Baca M. J.; Bachacou H.; Bachas K.; Backes M.; Bagnaia P.; Bahmani M.; Bahrasemani H.; Bailey A. J.; Baines J. T.; Bajic M.; Bakalis C.; Baker O. K.; Bakker P. J.; Bakshi Gupta D.; Balaji S.; Baldin E. M.; Balek P.; Balli F.; Balunas W. K.; Balz J.; Banas E.; Bandyopadhyay A.; Banerjee S.; Bannoura A. A. E.; Barak L.; Barbe W. M.; Barberio E. L.; Barberis D.; Barbero M.; Barillari T.; Barisits M. -S.; Barkeloo J.; Barklow T.; Barnea R.; Barnes S. L.; Barnett B. M.; Barnett R. M.; Barnovska-Blenessy Z.; Baroncelli A.; Barone G.; Barr A. J.; Barranco Navarro L.; Barreiro F.; Barreiro Guimarães da Costa J.; Bartoldus R.; Barton A. E.; Bartos P.; Basalaev A.; Bassalat A.; Bates R. L.; Batista S. J.; Batlamous S.; Batley J. R.; Battaglia M.; Bauce M.; Bauer F.; Bauer K. T.; Bawa H. S.; Beacham J. B.; Beau T.; Beauchemin P. H.; Bechtle P.; Beck H. C.; Beck H. P.; Becker K.; Becker M.; Becot C.; Beddall A.; Beddall A. J.; Bednyakov V. A.; Bedognetti M.; Bee C. P.; Beermann T. A.; Begalli M.; Begel M.; Behera A.; Behr J. K.; Bellagamba L.; Benchekroun D.; Benekos N.; Benjamin D. P.; Benoit M.; Berger N.; Beringer J.; Berta P.; Bessner M.; Besson N.; Bethani A.; Betti A.; Bevan A. J.; Bianchi R. M.; Biesuz N. V.; Billoud T. R. V.; Bindi M.; Biondi S.; Biswal J. P.; Blue A.; Bogavac D.; Bold T.; Bolz A. E.; Bona M.; Bortfeldt J.; Bosman M.; Bossio Sola J. D.; Bouaouda K.; Bouhova-Thacker E. V.; Boutle S. K.; Boveia A.; Brahimi N.; Brandt A.; Breaden Madden W. D.; Britton D.; Brooijmans G.; Brost E.; Broughton J. H.; Bruckman de Renstrom P. A.; Bruno S.; Bruscino N.; Buckley A. G.; Burdin S.; Burke S.; Buttar C. M.; Butterworth J. M.; Buzykaev A. R.; Cabras G.; Cai H.; Cairo V. M. M.; Cakir O.; Calafiura P.; Calandri A.; Callea G.; Calvente Lopez S.; Calvetti M.; Camarda S.; Camarri P.; Campoverde A.; Canale V.; Cantero J.; Capeans Garrido M. D. M.; Caprini I.; Caprini M.; Capua M.; Cardillo F. C.; Carli I.; Carquin E.; Carrá S.; Casado M. P.; Castillo F. L.; Castillo Gimenez V.; Castro N. F.; Caudron J.; Cavasinni V.; Cerda Alberich L.; Cerqueira A. S.; Cerri A.; Chargeishvili B.; Chelstowska M. A.; Chen C.; Chen C. H.; Chen H.; Cheng H. C.; Cheremushkina E.; Cherkaoui El Moursli R.; Chevalier L.; Chiarella V.; Chiodini G.; Chu M. C.; Chudoba J.; Chwastowski J. J.; Chytka L.; Cinca D.; Cindro V.; Citron Z. H.; Coadou Y.; Cobal M.; Coccaro A.; Coimbra A. E. C.; Colasurdo L.; Conde Muiño P.; Coniavitis E.; Corrigan E. E.; Corriveau F.; Costa M. J.; Costanzo D.; Cottin G.; Cranmer K.; Cristinziani M.; Croft V.; Crosetti G.; Cueto A.; Czodrowski P.; Dabrowski W.; Dado T.; Dahbi S.; Dallapiccola C.; Danninger M.; Dao V.; Darbo G.; Davey W.; David C.; Davidek T.; De Cecco S.; De la Torre H.; De Maria A.; De Sanctis U.; De Santis M.; De Vivie De Regie J. B.; Deliot F.; Delitzsch C. M.; Della Pietra M.; Dell’acqua A.; Delsart P. A.; Demarco D. A.; Derendarz D.; Dervan P.; Di Bello F. A.; Di Ciaccio A.; Di Ciaccio L.; Diaconu C.; Dias F. A.; Dias Do Vale T.; Dietrich J.; Dittus F.; Djama F.; Djobava T.; Doglioni C.; Doyle A. T.; Duckeck G.; Ducu O. A.; Duda D.; Duperrin A.; Duran Yildiz H.; Durglishvili A.; Dyndal M.; Dziedzic B. S.; Ellert M.; Ellinghaus F.; Ellis N.; Elsing M.; Erdmann J.; Ereditato A.; Escalier M.; Escobar C.; Estrada Pastor O.; Evans H.; Ezhilov A.; Ezzi M.; Fabbri F.; Fabiani V.; Faisca Rodrigues Pereira R. M.; Falke P. J.; Falke S.; Faltova J.; Fanti M.; Farbin A.; Farina E. M.; Farooque T.; Farrington S. M.; Fassi F.; Faucci Giannelli M.; Fawcett W. J.; Feligioni L.; Feng C.; Ferreira de Lima D. E.; Ferrere D.; Filthaut F.; Fiorini L.; Fisher W. C.; Fleck I.; Flores L. M.; Formica A.; Fox H.; Francavilla P.; Franchini M.; Franklin M.; Freund B.; Fullana Torregrosa E.; Gadow P.; Gagnon L. G.; Gamboa Goni R.; García Navarro J. E.; García Pascual J. A.; Gee C. N. P.; Genest M. H.; George S.; Ghneimat M.; Giagu S.; Giangiacomi N.; Giannetti P.; Gibson S. M.; Giordani M. P.; Giromini P.; Giugliarelli G.; Giuli F.; Gkaitatzis S.; Gkougkousis E. L.; Glasman C.; Glaysher P. C. F.; Godlewski J.; Golling T.; Gonçalo R.; Gonella G.; Gongadze A.; Gonski J. L.; González de la Hoz S.; Goossens L.; Govender N.; Grabowska-Bold I.; Gramstad E.; Grancagnolo S.; Gravila P. M.; Gravili F. G.; Gray C.; Grefe C.; Gregersen K.; Gregor I. M.; Grinstein S.; Groh S.; Grummer A.; Guenther J.; Guescini F.; Guo J.; Gustavino G.; Gutschow C.; Guzik M. P.; Gwenlan C.; Gwilliam C. B.; Haas A.; Hadavand H. K.; Hadef A.; Haley J.; Halladjian G.; Hamal P.; Han K.; Hanagaki K.; Handl D. M.; Haney B.; Hansen E.; Hansen J. B.; Hassani S.; Haug S.; Hays C. P.; Heath M. P.; Heelan L.; Heim S.; Heinrich J. J.; Heinrich L.; Heinz C.; Hejbal J.; Held A.; Herde H.; Hernández Jiménez Y.; Hill E.; Hillier S. J.; Hils M.; Hod N.; Holmes T. R.; Honda S.; Hopkins W. H.; Horn P.; Horyn L. A.; Hoya J.; Hrynevich A.; Hubaut F.; Hunter R. F. H.; Iacobucci G.; Iliadis D.; Introzzi G.; Ippolito V.; Isacson M. F.; Islam W.; Istin S.; Iuppa R.; Jackson P.; Jakobsen S.; Jakoubek T.; Jana D. K.; Jansky R.; Janssen J.; Jeanneau F.; Jeanty L.; Jia J.; Jiggins S.; Jinnouchi O.; Jon-And K.; Jones R. W. L.; Jones S. D.; Jones S.; Jorge P. M.; Jovicevic J.; Ju X.; Junggeburth J. J.; Juste Rozas A.; Kaczmarska A.; Kar D.; Karentzos E.; Karpov S. N.; Karpova Z. M.; Kay E. F.; Kazanin V. F.; Keeler R.; Kempster J. J.; Kendrick J.; Kharlamova T.; Khoo T. J.; Khramov E.; Kirk J.; Kiryunin A. E.; Klimek P.; Knue A.; Kodys P.; Koffas T.; König A. C.; Kono T.; Konoplich R.; Konstantinidis N.; Korcyl K.; Koulouris A.; Kourkoumelis C.; Kourlitis E.; Kouskoura V.; Kowalewski R.; Krasnopevtsev D.; Krauss D.; Kretzschmar J.; Kroll J.; Kruchonak U.; Kugel A.; Kukla R.; Kulchitsky Y.; Kupco A.; Kurchaninov L. L.; Kuwertz E. S.; Kuze M.; La Rosa A.; La Rosa Navarro J. L.; La Rotonda L.; Lacasta C.; Lafaye R.; Landon M. P. J.; Lange J. C.; Lapertosa A.; Lari T.; Lassnig M.; Lazzaroni M.; Leblanc M.; Lee C. A.; Lee G. R.; Lefebvre B.; Legger F.; Leight W. A.; Leisos A.; Leite M. A. L.; Leney K. J. C.; Leone R.; Leonidopoulos C.; Leroy C.; Les R.; Lester C. G.; Levchenko M.; Li B.; Li H.; Lie K.; Lin C. Y.; Lipniacka A.; Lisovyi M.; Lister A.; Litke A. M.; Little J. D.; Liu B.; Liu B. L.; Liu H. B.; Liu H.; Livan M.; Lleres A.; Llorente Merino J.; Lloyd S. L.; Lobodzinska E. M.; Loch P.; Lohwasser K.; Lokajicek M.; Longo L.; Lopez J. A.; Lorenzo Martinez N.; Losada M.; Lozano Bahilo J. J.; Luci C.; Lucotte A.; Luehring F.; Lysak R.; Macdonald C. M.; Madar R.; Madysa N.; Maeda J.; Maevskiy A. S.; Majersky O.; Makida Y.; Makovec N.; Maleev V. P.; Mamuzic J.; Mancini G.; Maneira J.; Manjarres Ramos J.; Mankinen K. H.; Manousos A.; Manzoni S.; March L.; Marcisovsky M.; Marjanovic M.; Marti-Garcia S.; Martin C. B.; Martin T. A.; Martin V. J.; Martin-Haugh S.; Marzin A.; Masetti L.; Massa L.; Massarotti P.; Mastrandrea P.; Mastroberardino A.; Masubuchi T.; Mazza S. M.; McLean K. D.; McNamara P. C.; McPherson R. A.; Meirose B.; Mellado Garcia B. R.; Mellenthin J. D.; Melo M.; Meloni F.; Mendes Gouveia E. D.; Mengarelli A.; Meoni E.; Messina A.; Mete A. S.; Mijović L.; Mikestikova M.; Millar D. A.; Mindur B.; Mistry K. P.; Mkrtchyan T.; Mogg P.; Mohapatra S.; Monk J.; Montejo Berlingen J.; Monzani S.; Morange N.; Moreno D.; Morettini P.; Morii M.; Morley A. K.; Morvaj L.; Moyse E. J. W.; Mueller F.; Mullier G. A.; Munoz Sanchez F. J.; Murray W. J.; Murrone A.; Nagasaka Y.; Nairz A. M.; Nanjo H.; Napolitano F.; Naryshkin I.; Neep T. J.; Negrini M.; Nelson M. E.; Nemecek S.; Nielsen D. S.; Nikiforou N.; Nikolopoulos K.; Nisati A.; Nishu N.; Nobe T.; Novak T.; Ntekas K.; Ocariz J.; Ochoa-Ricoux J. P.; Oda S.; Ohm C. C.; Oide H.; Okazaki Y.; Oliveira Damazio D.; Oliver J. L.; Olszewski A.; Olszowska J.; Onofre A.; Onyisi P. U. E.; Oreglia M. J.; Orestano D.; Orlando N.; Ould-Saada F.; Ozturk N.; Pachal K.; Pacheco Pages A.; Padilla Aranda C.; Palestini S.; Palka M.; Panduro Vazquez J. G.; Panizzo G.; Pasuwan P.; Pathak A.; Pedro R.; Peleganchuk S. V.; Penc O.; Perini L.; Peters K.; Petersen B. A.; Petrucci F.; Pezoa R.; Pham T.; Pianori E.; Pilkington A. D.; Pleskot V.; Poggi R.; Policicchio A.; Pollard C. S.; Ponomarenko D.; Potter C. J.; Potti H.; Poulsen T.; Poveda J.; Pralavorio P.; Primavera M.; Prince S.; Proklova N.; Prokoshin F.; Przybycien M.; Puri A.; Qian J.; Queitsch-Maitland M.; Ragusa F.; Raine J. A.; Rauch D. M.; Ravina B.; Reale M.; Rebuzzi D. M.; Redlinger G.; Reeves K.; Reichert J.; Resconi S.; Resseguie E. D.; Ricci E.; Ridel M.; Rieck P.; Rifki O.; Rimoldi A.; Ripellino G.; Rivera Vergara J. C.; Roberts R. T.; Robinson D.; Robson A.; Rocco E.; Roda C.; Rodriguez Bosca S.; Rodriguez Perez A.; Roland C. P. A.; Roloff J.; Romaniouk A.; Romano M.; Rompotis N.; Roos L.; Rosati S.; Rosbach K.; Rotaru M.; Roy D.; Rozen Y.; Rurikova Z.; Russell H. L.; Ryu S.; Ryzhov A.; Sabatini P.; Saimpert M.; Saito M.; Salazar Loyola J. E.; Salvatore D.; Salvucci A.; Sammel D.; Sanchez Pineda A.; Sankey D. P. C.; Santra A.; Sasaki O.; Sato K.; Sauvan E.; Sawyer C.; Schaefer D.; Schildgen L. K.; Schioppa E. J.; Schioppa M.; Schmidt-Sommerfeld K. R.; Schmitt C.; Schmitt S.; Schoeffel L.; Schopf E.; Schouwenberg J. F. P.; Schramm S.; Schwarz T. A.; Sciandra A.; Scornajenghi M.; Scyboz L. M.; Searcy J.; Sebastiani C. D.; Senkin S.; Serkin L.; Sessa M.; Sforza F.; Sfyrla A.; Shabalina E.; Shahinian J. D.; Shaikh N. W.; Shapiro M.; Sharma A. S.; Shi L.; Shimojima M.; Shojaii S.; Simioni E.; Simon M.; Sioli M.; Siral I.; Sliwa K.; Smirnov N.; Smirnov S. Y.; Smirnov Y.; Smirnova L. N.; Smith J. W.; Smolek K.; Smykiewicz A.; Snyder I. M.; Solovyev V.; Sommer P.; Son H.; Song W.; Sopczak A.; Sotiropoulou C. L.; Soualah R.; Sowden B. C.; Spagnolo S.; Spieker T. M.; Stabile A.; Stanecka E.; Stanislaus B.; Stark G. H.; Starovoitov P.; Stärz S.; Staszewski R.; Stevenson T. J.; Stolte P.; Straessner A.; Strandberg J.; Strizenec P.; Stucci S. A.; Stugu B.; Stupak J.; Sullivan M. J.; Sumida T.; Svatos M.; Swiatlowski M.; Sykora I.; Ta D.; Tahirovic E.; Takai H.; Tapia Araya S.; Tartarelli G. F.; Tassi E.; Taylor A. C.; Taylor A. J.; Terashi K.; Terron J.; Terzo S.; Thiele F.; Thompson A. S.; Thomson E.; Tian Y.; Ticse Torres R. E.; Tikhomirov V. O; Tisserant S.; Tokushuku K.; Tomiwa K. G.; Torró Pastor E.; Toth J.; Trigger I. M.; Trincaz-Duvoid S.; Trocmé B.; Trofymov A.; Troncon C.; Trovato F.; Truong L.; Trzebinski M.; Tsai F.; Tsuno S.; Tu Y.; Tudorache A.; Tudorache V.; Turra R.; Tzovara E.; Ughetto M.; Unal G.; Ungaro F. C.; Urquijo P.; Vadla K. O. H.; Vaidya A.; Valente M.; Valero A.; Valéry L.; Van Daalen T. R.; Van Gemmeren P.; Van Vulpen I.; Vanadia M.; Vari R.; Varvell K. E.; Vazquez Furelos D.; Veloso F.; Veneziano S.; Ventura A.; Vercesi V.; Verducci M.; Vermeulen A. T.; Vetterli M. C.; Viaux Maira N.; Vickey T.; Vickey Boeriu O. E.; Villa M.; Vincter M. G.; Vivarelli I.; Vlachos S.; von Buddenbrock S. E.; Vorobel V.; Vos M.; Vranjes N.; Vranjes Milosavljevic M.; Vukotic I.; Walder J.; Walkowiak W.; Wang A. M.; Wang C.; Wanotayaroj C.; Warburton A.; Wardrope D. R.; Watkins P. M.; Watts G.; Weber C.; Weber M. S.; Weber S. A.; Weingarten J.; Weirich M.; Weiser C.; Wenaus T.; Wengler T.; Werner M. D.; Werner P.; Whalen K.; Wickens F. J.; Wielers M.; Wiglesworth C.; Willocq S.; Winkels E.; Winklmeier F.; Winter B. T.; Wolf A.; Wolter M. W.; Wolters H.; Worm S. D.; Woźniak K. W.; Wu M.; Wu S. L.; Wu X.; Xella S.; Xi Z.; Xu D.; Xu H.; Yabsley B.; Yacoob S.; Yamaguchi D.; Yamazaki T.; Yang H. J.; Yang H. T.; Yap Y. C.; Yigitbasi E.; Yorita K.; Yu J.; Zaidan R.; Zakareishvili T.; Zakharchuk N.; Zanzi D.; Zhang D. F.; Zhang D.; Zhang F.; Zhao P.; Zhemchugov A.; Zhou B.; Zhu C. G.; Zoch K.; Zorbas T. G.;We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of comp Measurements of the azimuthal anisotropy in lead–lead collisions at sNN−−−√ = 5.02 TeV are presented using a data sample corresponding to 0.49 nb−1 integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for “ultra-central” collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, v2–v7, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics vn over wide ranges of the transverse momentum, 0.5
CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu45 citations 45 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 30visibility views 30 download downloads 50 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2018 Switzerland, Italy, France, Italy, United KingdomOxford University Press (OUP) EC | OPTICON, EC | OPTICONEC| OPTICON ,EC| OPTICONAlice Zurlo; Dino Mesa; Silvano Desidera; Sergio Messina; Raffaele Gratton; Claire Moutou; Jean-Luc Beuzit; Beth Biller; Anthony Boccaletti; Mariangela Bonavita; Mickael Bonnefoy; Tanmay Bhowmik; Wolfgang Brandner; Esther Buenzli; Gael Chauvin; M. Cudel; Valentina D'Orazi; Markus Feldt; Janis Hagelberg; Markus Janson; Anne-Marie Lagrange; Maud Langlois; J. Lannier; Baptiste Lavie; C. Lazzoni; Anne-Lise Maire; Matthias Meyer; David Mouillet; S. Peretti; Clément Perrot; P. J. Potiron; Graeme Salter; T. Schmidt; E. Sissa; Arthur Vigan; Alain Delboulbé; C. Petit; Jose Ramos; F. Rigal; Sylvain Rochat;We present observations with the planet finder Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE) of a selected sample of the most promising radial velocity (RV) companions for high-contrast imaging. Using a Monte Carlo simulation to explore all the possible inclinations of the orbit of wide RV companions, we identified the systems with companions that could potentially be detected with SPHERE. We found the most favourable RV systems to observe are: HD 142, GJ 676, HD 39091, HIP 70849, and HD 30177 and carried out observations of these systems during SPHERE Guaranteed Time Observing. To reduce the intensity of the starlight and reveal faint companions, we used principal component analysis algorithms alongside angular and spectral differential imaging. We injected synthetic planets with known flux to evaluate the self-subtraction caused by our data reduction and to determine the 5σ contrast in the J band versus separation for our reduced images. We estimated the upper limit on detectable companion mass around the selected stars from the contrast plot obtained from our data reduction. Although our observations enabled contrasts larger than 15 mag at a few tenths of arcsec from the host stars, we detected no planets. However, we were able to set upper mass limits around the stars using AMES-COND evolutionary models. We can exclude the presence of companions more massive than 25–28 MJup around these stars, confirming the substellar nature of these RV companions. Monthly Notices of the Royal Astronomical Society, 480 (1) ISSN:0035-8711 ISSN:1365-2966
Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2013 Netherlands, France, FranceSpringer Science and Business Media LLC NSF | 2010 Project: Arabidopsis...NSF| 2010 Project: Arabidopsis 2010: Transcriptomes for Functional and Evolutionary StudiesHaudry, Annabelle, A.; Platts, Adrian; Vello, Emilio; Hoen, Douglas; Leclercq, Mickael; Williamson, Robert; Forczek, Ewa; Joly-Lopez, Zoé; Steffen, Joshua; Hazzouri, Khaled; Dewar, Ken; Stinchcombe, John; Schoen, Daniel; Wang, Xiaowu; Schmutz, Jeremy; Town, Christopher; Edger, Patrick; Pires, J Chris; Schumaker, Karen; Jarvis, David; Mandáková, Terezie; Lysak, Martin; van den Bergh, Erik; Schranz, M Eric; Harrison, Paul; Moses, Alan; Bureau, Thomas, E; Wright, Stephen; Blanchette, Mathieu;doi: 10.1038/ng.2684
pmid: 23817568
Despite the central importance of noncoding DNA to gene regulation and evolution, understanding of the extent of selection on plant noncoding DNA remains limited compared to that of other organisms. Here we report sequencing of genomes from three Brassicaceae species (Leavenworthia alabamica, Sisymbrium irio and Aethionema arabicum) and their joint analysis with six previously sequenced crucifer genomes. Conservation across orthologous bases suggests that at least 17% of the Arabidopsis thaliana genome is under selection, with nearly one-quarter of the sequence under selection lying outside of coding regions. Much of this sequence can be localized to approximately 90,000 conserved noncoding sequences (CNSs) that show evidence of transcriptional and post-transcriptional regulation. Population genomics analyses of two crucifer species, A. thaliana and Capsella grandiflora, confirm that most of the identified CNSs are evolving under medium to strong purifying selection. Overall, these CNSs highlight both similarities and several key differences between the regulatory DNA of plants and other species.
NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu326 citations 326 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017 FranceFrontiers Media SA CIHRCIHRAgnes Nadjar; Agnes Nadjar; Agnes Nadjar; Henna-Kaisa M. Wigren; Marie-Eve Tremblay; Marie-Eve Tremblay;Sleep serves crucial learning and memory functions in both nervous and immune systems. Microglia are brain immune cells that actively maintain health through their crucial physiological roles exerted across the lifespan, including phagocytosis of cellular debris and orchestration of neuroinflammation. The past decade has witnessed an explosive growth of microglial research. Considering the recent developments in the field of microglia and sleep, we examine their possible impact on various pathological conditions associated with a gain, disruption, or loss of sleep in this focused mini-review. While there are extensive studies of microglial implication in a variety of neuropsychiatric and neurodegenerative diseases, less is known regarding their roles in sleep disorders. It is timely to stimulate new research in this emergent and rapidly growing field of investigation.
Europe PubMed Centra... arrow_drop_down HAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu39 citations 39 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down HAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2022 Switzerland, FranceEDP Sciences EC | LENSNOVA, EC | COSMICLENS, EC | GLADIUSEC| LENSNOVA ,EC| COSMICLENS ,EC| GLADIUSSavary, E.; Rojas, K.; Maus, M.; Clément, B.; Courbin, F.; Gavazzi, R.; Chan, J. H. H.; Lemon, C.; Vernardos, G.; Cañameras, R.; Schuldt, S.; Suyu, S. H.; Cuillandre, J. -C.; Fabbro, S.; Gwyn, S.; Hudson, M. J.; Kilbinger, M.; Scott, D.; Stone, C.;We present a search for galaxy-scale strong gravitational lenses in the initial 2 500 square degrees of the Canada-France Imaging Survey (CFIS). We designed a convolutional neural network (CNN) committee that we applied to a selection of 2 344 002 exquisite-seeing $r$-band images of color-selected luminous red galaxies (LRGs). Our classification uses a realistic training set where the lensing galaxies and the lensed sources are both taken from real data, namely the CFIS $r$-band images themselves and the Hubble Space Telescope (HST). A total of 9 460 candidates obtain a score above 0.5 with the CNN committee. After a visual inspection of the candidates, we find a total of 133 lens candidates, of which 104 are completely new. The set of false positives mainly contains ring, spiral, and merger galaxies, and to a lesser extent galaxies with nearby companions. We classify 32 of the lens candidates as secure lenses and 101 as maybe lenses. For the 32 highest quality lenses, we also fit a singular isothermal ellipsoid mass profile with external shear along with an elliptical Sersic profile for the lens and source light. This automated modeling step provides distributions of properties for both sources and lenses that have Einstein radii in the range $0.5\arcsec<θ_E<2.5\arcsec$. Finally, we introduce a new lens and/or source single-band deblending algorithm based on auto-encoder representation of our candidates. This is the first time an end-to-end lens-finding and modeling pipeline is assembled together, in view of future lens searches in a single band, as will be possible with Euclid. 29 pages, 21 figures, accepted by A&A, in press
Astronomy and Astrop... arrow_drop_down Infoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationshttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Astronomy and Astrop... arrow_drop_down Infoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationshttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 FrancePublic Library of Science (PLoS) Volpov, Beth L.; Hoskins, Andrew J.; Battaile, Brian C.; Viviant, Morgane; Wheatley, Kathryn E.; Marshall, Greg; Abernathy, Kyler; Arnould, John P.Y.;International audience; This study investigated prey captures in free-ranging adult female Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted 3-axis accelerometers and animal-borne video cameras. Acceleration data was used to identify individual attempted prey captures (APC), and video data were used to independently verify APC and prey types. Results demonstrated that head-mounted accelerometers could detect individual APC but were unable to distinguish among prey types (fish, cephalopod, stingray) or between successful captures and unsuccessful capture attempts. Mean detection rate (true positive rate) on individual animals in the testing subset ranged from 67-100%, and mean detection on the testing subset averaged across 4 animals ranged from 82-97%. Mean False positive (FP) rate ranged from 15-67% individually in the testing subset, and 26-59% averaged across 4 animals. Surge and sway had significantly greater detection rates, but also conversely greater FP rates compared to heave. Video data also indicated that some head movements recorded by the accelerometers were unrelated to APC and that a peak in acceleration variance did not always equate to an individual prey item. The results of the present study indicate that head-mounted accelerometers provide a complementary tool for investigating foraging behaviour in pinnipeds, but that detection and FP correction factors need to be applied for reliable field application.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2013 FranceIOP Publishing Marini, P.; Bonasera, A.; Mcintosh, A.; Boisjoli, M.; Wigg, P.; Chbihi, A.;The impact of the secondary de-excitation on isotopic distributions commonly used as observable to extract information on the symmetry energy is pointed out. A comparison of three methods differently affected by secondary decay shows a good agreement of the results up to A = 20, suggesting a lack of secondary decay effects in our data within our resolution. Data from the 4π detector INDRA and the VAMOS spectrometer could extend this work to higher A. The same data allow us to perform a primary fragment reconstruction, which opens up the possibility of planning a program on charged particle spectroscopy of exotic nuclei.
Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesArticle . 2013License: IOP Copyright PoliciesData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesArticle . 2013License: IOP Copyright PoliciesData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancearXiv Roueff, Antoine; Gerin, Maryvonne; Gratier, Pierre; Levrier, François; Pety, Jérôme; Gaudel, Mathilde; Goicoechea, Javier,; Orkisz, Jan; De Souza Magalhaes, Victor; Vono, Maxime; Bardeau, Sébastien; Bron, Emeric; Chanussot, Jocelyn; Chainais, Pierre; Guzman, Viviana; Hughes, Annie; Kainulainen, Jouni; Languignon, David; Le Bourlot, Jacques; Le Petit, Franck; Liszt, Harvey; marchal, antoine; Miville-Deschênes, Marc-Antoine; Peretto, Nicolas; Roueff, Evelyne; Sievers, Albrecht;CO isotopologue transitions are routinely observed in molecular clouds to probe the column density of the gas, the elemental ratios of carbon and oxygen, and to trace the kinematics of the environment. We aim at estimating the abundances, excitation temperatures, velocity field and velocity dispersions of the three main CO isotopologues towards a subset of the Orion B molecular cloud. We use the Cramer Rao Bound (CRB) technique to analyze and estimate the precision of the physical parameters in the framework of local-thermodynamic-equilibrium excitation and radiative transfer with an additive white Gaussian noise. We propose a maximum likelihood estimator to infer the physical conditions from the 1-0 and 2-1 transitions of CO isotopologues. Simulations show that this estimator is unbiased and efficient for a common range of excitation temperatures and column densities (Tex > 6 K, N > 1e14 - 1e15 cm-2). Contrary to the general assumptions, the different CO isotopologues have distinct excitation temperatures, and the line intensity ratios between different isotopologues do not accurately reflect the column density ratios. We find mean fractional abundances that are consistent with previous determinations towards other molecular clouds. However, significant local deviations are inferred, not only in regions exposed to UV radiation field but also in shielded regions. These deviations result from the competition between selective photodissociation, chemical fractionation, and depletion on grain surfaces. We observe that the velocity dispersion of the C18O emission is 10% smaller than that of 13CO. The substantial gain resulting from the simultaneous analysis of two different rotational transitions of the same species is rigorously quantified. The CRB technique is a promising avenue for analyzing the estimation of physical parameters from the fit of spectral lines. 27 pages, 23 PDF figures. Accepted for publication in A&A. Uses aa latex macro
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Denmark, Sweden, France, Netherlands, Denmark, Denmark, Sweden, United Kingdom, United Kingdom, FranceWiley NIH | Heart Failure Clinical Tr..., EC | inHForm, NIH | UCLA Clinical Translation... +10 projectsNIH| Heart Failure Clinical Trials Network ,EC| inHForm ,NIH| UCLA Clinical Translational Science Institute ,NIH| Renal Sympathetic Denervation in Congestive Heart Failure ,EC| BigData Heart ,NIH| Heart Failure Clinical Research Network Coordinating Center ,NIH| Genomics of Cardiac Arrhythmias ,NIH| SALsalate to Improve Exercise toleraNce and LVDD in T2dm-DHF (SALIENT-DHF trial) ,NIH| Heart Failure Clinical Research Network Regional Clinical Center (U10) ,NIH| Mayo Heart Failure Regional Clinical Center ,NIH| Harvard Regional Clinical Center of the NHLBI Heart Failure Network ,NIH| Mid Atlantic Heart Failure Network ,NIH| New England, New York and Quebec Regional Clinical CenterR. Thomas Lumbers; Sonia Shah; Honghuang Lin; Tomasz Czuba; Albert Henry; Daniel I. Swerdlow; Anders Mälarstig; Charlotte Andersson; Niek Verweij; Michael V. Holmes; Johan Ärnlöv; Per H. Svensson; Harry Hemingway; Neneh Sallah; Peter Almgren; Krishna G. Aragam; Géraldine Asselin; Joshua D. Backman; Mary L. Biggs; Heather L. Bloom; Eric Boersma; Jeffrey Brandimarto; Michael R. Brown; Hans-Peter Brunner-La Rocca; David J. Carey; Mark Chaffin; Daniel I. Chasman; Olympe Chazara; Xing Chen; Xu Chen; Jonathan H. Chung; William A. Chutkow; John G.F. Cleland; James P. Cook; Simon de Denus; Graciela E. Delgado; Spiros Denaxas; Alex S. F. Doney; Marcus Dörr; Samuel C. Dudley; Gunnar Engström; Ghazaleh Fatemifar; Chris Finan; Ian Ford; Francoise Fougerousse; René Fouodjio; Mohsen Ghanbari; Vilmantas Giedraitis; Franco Giulianini; John S. Gottdiener; Stefan Gross; Daníel F. Guðbjartsson; Hongsheng Gui; Rebecca Gutmann; Christopher M. Haggerty; Pim van der Harst; Åsa K. Hedman; Anna Helgadottir; Hans L. Hillege; Craig L. Hyde; Jaison Jacob; J. Wouter Jukema; Frederick K. Kamanu; Isabella Kardys; Maryam Kavousi; Kay-Tee Khaw; Marcus E. Kleber; Lars Køber; Andrea Koekemoer; Bill Kraus; Karoline Kuchenbaecker; Claudia Langenberg; Lars Lind; Cecilia M. Lindgren; Barry London; Luca A. Lotta; Ruth C. Lovering; Jian'an Luan; Patrik K. E. Magnusson; Anubha Mahajan; Douglas L. Mann; Kenneth B. Margulies; Nicholas A Marston; Winfried März; John J.V. McMurray; Olle Melander; Giorgio E. M. Melloni; Ify R. Mordi; Michael Morley; Andrew D. Morris; Andrew P. Morris; Alanna C. Morrison; Michael W. Nagle; Christopher P. Nelson; Christopher Newton-Cheh; Alexander Niessner; Teemu J. Niiranen; Christoph Nowak; Michelle L. O'Donoghue; Anjali T. Owens; Colin N. A. Palmer; Guillaume Paré; Markus Perola; Louis Philippe Lemieux Perreault; Eliana Portilla-Fernandez; Kenneth Rice; Paul M. Ridker; Simon P. R. Romaine; Carolina Roselli; Jerome I. Rotter; Christian T. Ruff; Marc S. Sabatine; Perttu Salo; Veikko Salomaa; Jessica van Setten; Alaa Shalaby; Diane T. Smelser; Nicholas L. Smith; Kari Stefansson; Steen Stender; David J. Stott; G Sveinbjörnsson; Mari Liis Tammesoo; Jean-Claude Tardif; Kent D. Taylor; Maris Teder-Laving; Alexander Teumer; Guðmundur Thorgeirsson; Unnur Thorsteinsdottir; Christian Torp-Pedersen; Stella Trompet; Danny Tuckwell; Benoit Tyl; André G. Uitterlinden; Felix Vaura; Abirami Veluchamy; Peter M. Visscher; Uwe Völker; Adriaan A. Voors; Xiaosong Wang; Nicholas J. Wareham; Peter Weeke; Raul Weiss; Kerri L. Wiggins; Heming Xing; Jian Yang; Yifan Yang; Laura M. Yerges-Armstrong; Bing Yu; Faiez Zannad; Faye Zhao; Jemma B. Wilk; Hilma Holm; Naveed Sattar; Steven A. Lubitz; David E. Lanfear; Svati H. Shah; Michael E. Dunn; Quinn S. Wells; Folkert W. Asselbergs; Aroon D. Hingorani; Marie-Pierre Dubé; Nilesh J. Samani; Chim C. Lang; Thomas P. Cappola; Patrick T. Ellinor; Ramachandran S. Vasan; J. Gustav Smith;Abstract: Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P < 5 × 10−8 under an additive genetic model. Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Funder: Department of Medicine, Boston University School of Medicine; Id: http://dx.doi.org/10.13039/100008748 Funder: National Heart, Lung, and Blood Institute; Id: http://dx.doi.org/10.13039/100000050 Funder: Knut and Alice Wallenberg Foundation; Id: http://dx.doi.org/10.13039/501100004063 Funder: NIHR UCLH Biomedical Research Centre; Id: http://dx.doi.org/10.13039/501100012317 Funder: Skåne University Hospital; Id: http://dx.doi.org/10.13039/501100011077 Funder: Evans Medical Foundation; Id: http://dx.doi.org/10.13039/100015927 Funder: Crafoord Foundation; Id: http://dx.doi.org/10.13039/501100003173 Funder: British Heart Foundation Cardiovascular Biomedicine Funder: Swedish National Health Service
NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 3visibility views 3 download downloads 43 Powered bymore_vert NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 Italy, France, Italy, Italy, Italy, Spain, ItalyOxford University Press (OUP) UKRI | AlwaysClean, UKRI | Integrated Mobile Welding...UKRI| AlwaysClean ,UKRI| Integrated Mobile Welding For High Strength In-Field Pipe ManufacturingLiteBIRD Collaboration; Allys, E.; Arnold, K.; Aumont, J.; Aurlien, R.; Azzoni, S.; Baccigalupi, C.; Banday, A. J.; Banerji, R.; Barreiro, R. B.; Bartolo, N.; Bautista, L.; Beck, D.; Beckman, S.; Bersanelli, M.; Boulanger, F.; Brilenkov, M.; Bucher, M.; Calabrese, E.; Campeti, P.; Carones, A.; Casas, F. J.; Catalano, A.; Chan, V.; Cheung, K.; Chinone, Y.; Clark, S. E.; Columbro, F.; D'Alessandro, G.; de Bernardis, P.; de Haan, T.; de la Hoz, E.; De Petris, M.; Della Torre, S.; Diego-Palazuelos, P.; Dobbs, M.; Dotani, T.; Duval, J. M.; Elleflot, T.; Eriksen, H. K.; Errard, J.; Essinger-Hileman, T.; Finelli, F.; Flauger, R.; Franceschet, C.; Fuskeland, U.; Galloway, M.; Ganga, K.; Gerbino, M.; Gervasi, M.; Génova-Santos, R. T.; Ghigna, T.; Giardiello, S.; Gjerløw, E.; Grain, J.; Grupp, F.; Gruppuso, A.; Gudmundsson, J. E.; Halverson, N. W.; Hargrave, P.; Hasebe, T.; Hasegawa, M.; Hazumi, M.; Henrot-Versillé, S.; Hensley, B.; Hergt, L. T.; Herman, D.; Hivon, E.; Hlozek, R. A.; Hornsby, A. L.; Hoshino, Y.; Hubmayr, J.; Ichiki, K.; Iida, T.; Imada, H.; Ishino, H.; Jaehnig, G.; Katayama, N.; Kato, A.; Keskitalo, R.; Kisner, T.; Kobayashi, Y.; Kogut, A.; Kohri, K.; Komatsu, E.; Komatsu, K.; Konishi, K.; Krachmalnicoff, N.; Kuo, C. L.; Lamagna, L.; Lattanzi, M.; Lee, A. T.; Leloup, C.; Levrier, F.; Linder, E.; Luzzi, G.; Macias-Perez, J.; Maciaszek, T.; Maffei, B.; Maino, D.; Mandelli, S.; Martínez-González, E.; Masi, S.; Massa, M.; Matarrese, S.; Matsuda, F. T.; Matsumura, T.; Mele, L.; Migliaccio, M.; Minami, Y.; Moggi, A.; Montgomery, J.; Montier, L.; Morgante, G.; Mot, B.; Nagano, Y.; Nagasaki, T.; Nagata, R.; Nakano, R.; Namikawa, T.; Nati, F.; Natoli, P.; Nerval, S.; Noviello, F.; Odagiri, K.; Oguri, S.; Ohsaki, H.; Pagano, L.; Paiella, A.; Paoletti, D.; Passerini, A.; Patanchon, G.; Piacentini, F.; Piat, M.; Pisano, G.; Polenta, G.; Poletti, D.; Prouvé, T.; Puglisi, G.; Rambaud, D.; Raum, C.; Realini, S.; Reinecke, M.; Remazeilles, M.; Ritacco, A.; Roudil, G.; Rubino-Martin, J. A.; Russell, M.; Sakurai, H.; Sakurai, Y.; Sasaki, M.; Scott, D.; Sekimoto, Y.; Shinozaki, K.; Shiraishi, M.; Shirron, P.; Signorelli, G.; Spinella, F.; Stever, S.; Stompor, R.; Sugiyama, S.; Sullivan, R. M.; Suzuki, A.; Svalheim, T. L.; Switzer, E.; Takaku, R.; Takakura, H.; Takase, Y.; Tartari, A.; Terao, Y.; Thermeau, J.; Thommesen, H.; Thompson, K. L.; Tomasi, M.; Tominaga, M.; Tristram, M.; Tsuji, M.; Tsujimoto, M.; Vacher, L.; Vielva, P.; Vittorio, N.; Wang, W.; Watanuki, K.; Wehus, I. K.; Weller, J.; Westbrook, B.; Wilms, J.; Winter, B.; Wollack, E. J.; Yumoto, J.; Zannoni, M.;handle: 20.500.11767/132550 , 2434/947309 , 11577/3467499 , 10261/306493 , 11573/1685127
This work is supported in Japan by ISAS/JAXA for Pre-Phase A2 studies, by the acceleration program of JAXA research and development directorate, by the World Premier International Research Center Initiative (WPI) of MEXT, by the JSPS Core-to-Core Program, and by JSPS KAKENHI. The Italian LiteBIRD phase A contribution is supported by the Italian Space Agency (ASI Grants No. 2020-9-HH.0 and 2016-24-H.1-2018), the National Institute for Nuclear Physics (INFN), the National Institute for Astrophysics (INAF), and a PGR grant from the Italian Ministry of Foreign Affairs and International Cooperation. The French LiteBIRD phase A contribution is supported by the Centre National d’Etudes Spatiale (CNES), by the Centre National de la Recherche Scientifique (CNRS), and by the Commissariat a l’Energie Atomique (CEA). The Canadian contribution is supported by the Canadian Space Agency. The US contribution is supported by NASA grant no. 80NSSC18K0132. Norwegian participation in LiteBIRD is supported by the Research Council of Norway (Grant No. 263011). The Spanish LiteBIRD phase A contribution is supported by the Spanish Agencia Estatal de Investigacion (AEI), project refs. PID2019-110610RBC21 and AYA2017-84185-P. Funds that support the Swedish contributions come from the Swedish National Space Agency (SNSA/Rymdstyrelsen) and the Swedish Research Council (Reg. no. 2019-03959). The German participation in LiteBIRD is supported in part by the Excellence Cluster ORIGINS, which is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy (Grant No. EXC-2094- 390783311). LiteBIRD work has received funding from the European Research Council (ERC) under the Horizon 2020 Research and Innovation Programme. This research used resources of the Central Computing System owned and operated by the Computing Research Center at KEK, as well as resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy. LiteBIRD the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. The Japan Aerospace Exploration Agency (JAXA) selected LiteBIRD in May 2019 as a strategic large-class (L-class) mission, with an expected launch in the late 2020s using JAXA’s H3 rocket. LiteBIRD is planned to orbit the Sun-Earth Lagrangian point L2, where it will map the cosmic microwave background (CMB) polarization over the entire sky for three years, with three telescopes in 15 frequency bands between 34 and 448 GHz, to achieve an unprecedented total sensitivity of 2.2 μK-arcmin, with a typical angular resolution of 0.5○ at 100 GHz. The primary scientific objective of LiteBIRD is to search for the signal from cosmic inflation, either making a discovery or ruling out well-motivated inflationary models. The measurements of LiteBIRD will also provide us with insight into the quantum nature of gravity and other new physics beyond the standard models of particle physics and cosmology. We provide an overview of the LiteBIRD project, including scientific objectives, mission and system requirements, operation concept, spacecraft and payload module design, expected scientific outcomes, potential design extensions and synergies with other projects. Subject Index LiteBIRD cosmic inflation, cosmic microwave background, B-mode polarization, primordial gravitational waves, quantum gravity, space telescope LiteBIRD Collaboration: et al. Peer reviewed
Archivio Istituziona... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023Data sources: Archivio della ricerca- Università di Roma La SapienzaBOA - Bicocca Open Archive; Progress of Theoretical and Experimental PhysicsArticle . 2023 . 2022License: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . 2022Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYhttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu54 citations 54 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023Data sources: Archivio della ricerca- Università di Roma La SapienzaBOA - Bicocca Open Archive; Progress of Theoretical and Experimental PhysicsArticle . 2023 . 2022License: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . 2022Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYhttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Report , Other literature type , Preprint 2018 Turkey, Italy, Italy, Germany, Portugal, Portugal, Italy, United Kingdom, Italy, Italy, Spain, Denmark, Italy, Poland, Italy, Italy, France, ItalySpringer Science and Business Media LLC Aaboud M.; Aad G.; Abbott B.; Abdinov O.; Abeloos B.; Abhayasinghe D. K.; Abidi S. H.; Abouzeid O. S.; Abraham N. L.; Abramowicz H.; Abreu H.; Abulaiti Y.; Acharya B. S.; Adachi S.; Adam L.; Adamczyk L.; Adelman J.; Adersberger M.; Adiguzel A.; Adye T.; Affolder A. A.; Afik Y.; Agheorghiesei C.; Aguilar-Saavedra J. A.; Ahmadov F.; Aielli G.; Akatsuka S.; Åkesson T. P. A.; Akilli E.; Akimov A. V.; Alberghi G. L.; Albert J.; Albicocco P.; Alconada Verzini M. J.; Alderweireldt S.; Aleksa M.; Aleksandrov I. N.; Alexa C.; Alexopoulos T.; Alhroob M.; Ali B.; Alimonti G.; Alison J.; Alkire S. P.; Allaire C.; Allbrooke B. M. M.; Allen B. W.; Allport P. P.; Aloisio A.; Alonso A.; Alonso F.; Alpigiani C.; Alshehri A. A.; Alstaty M. I.; Alvarez Gonzalez B.; Álvarez Piqueras D.; Alviggi M. G.; Amadio B. T.; Amaral Coutinho Y.; Ambler A.; Ambroz L.; Amelung C.; Amidei D.; Amor Dos Santos S. P.; Amoroso S.; Amrouche C. S.; Anastopoulos C.; Ancu L. S.; Andari N.; Andeen T.; Anders C. F.; Anders J. K.; Anderson K. J.; Andreazza A.; Andrei V.; Anelli C. R.; Angelidakis S.; Angelozzi I.; Angerami A.; Anisenkov A. V.; Annovi A.; Antel C.; Anthony M. T.; Antonelli M.; Antrim D. J. A.; Anulli F.; Aoki M.; Aparisi Pozo J. A.; Aperio Bella L.; Arabidze G.; Araque J. P.; Araujo Ferraz V.; Araujo Pereira R.; Arce A. T. H.; Ardell R. E.; Arduh F. A.; Arguin J. -F.; Argyropoulos S.; Armbruster A. J.; Armitage L. J.; Armstrong A.; Arnaez O.; Arnold H.; Arratia M.; Arslan O.; Artamonov A.; Artoni G.; Artz S.; Asai S.; Asbah N.; Asimakopoulou E. M.; Asquith L.; Assamagan K.; Astalos R.; Atkin R. J.; Atkinson M.; Atlay N. 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U. E.; Oreglia M. J.; Orestano D.; Orlando N.; Ould-Saada F.; Ozturk N.; Pachal K.; Pacheco Pages A.; Padilla Aranda C.; Palestini S.; Palka M.; Panduro Vazquez J. G.; Panizzo G.; Pasuwan P.; Pathak A.; Pedro R.; Peleganchuk S. V.; Penc O.; Perini L.; Peters K.; Petersen B. A.; Petrucci F.; Pezoa R.; Pham T.; Pianori E.; Pilkington A. D.; Pleskot V.; Poggi R.; Policicchio A.; Pollard C. S.; Ponomarenko D.; Potter C. J.; Potti H.; Poulsen T.; Poveda J.; Pralavorio P.; Primavera M.; Prince S.; Proklova N.; Prokoshin F.; Przybycien M.; Puri A.; Qian J.; Queitsch-Maitland M.; Ragusa F.; Raine J. A.; Rauch D. M.; Ravina B.; Reale M.; Rebuzzi D. M.; Redlinger G.; Reeves K.; Reichert J.; Resconi S.; Resseguie E. D.; Ricci E.; Ridel M.; Rieck P.; Rifki O.; Rimoldi A.; Ripellino G.; Rivera Vergara J. C.; Roberts R. T.; Robinson D.; Robson A.; Rocco E.; Roda C.; Rodriguez Bosca S.; Rodriguez Perez A.; Roland C. P. A.; Roloff J.; Romaniouk A.; Romano M.; Rompotis N.; Roos L.; Rosati S.; Rosbach K.; Rotaru M.; Roy D.; Rozen Y.; Rurikova Z.; Russell H. L.; Ryu S.; Ryzhov A.; Sabatini P.; Saimpert M.; Saito M.; Salazar Loyola J. E.; Salvatore D.; Salvucci A.; Sammel D.; Sanchez Pineda A.; Sankey D. P. C.; Santra A.; Sasaki O.; Sato K.; Sauvan E.; Sawyer C.; Schaefer D.; Schildgen L. K.; Schioppa E. J.; Schioppa M.; Schmidt-Sommerfeld K. R.; Schmitt C.; Schmitt S.; Schoeffel L.; Schopf E.; Schouwenberg J. F. P.; Schramm S.; Schwarz T. A.; Sciandra A.; Scornajenghi M.; Scyboz L. M.; Searcy J.; Sebastiani C. D.; Senkin S.; Serkin L.; Sessa M.; Sforza F.; Sfyrla A.; Shabalina E.; Shahinian J. D.; Shaikh N. W.; Shapiro M.; Sharma A. S.; Shi L.; Shimojima M.; Shojaii S.; Simioni E.; Simon M.; Sioli M.; Siral I.; Sliwa K.; Smirnov N.; Smirnov S. Y.; Smirnov Y.; Smirnova L. N.; Smith J. W.; Smolek K.; Smykiewicz A.; Snyder I. M.; Solovyev V.; Sommer P.; Son H.; Song W.; Sopczak A.; Sotiropoulou C. L.; Soualah R.; Sowden B. C.; Spagnolo S.; Spieker T. M.; Stabile A.; Stanecka E.; Stanislaus B.; Stark G. H.; Starovoitov P.; Stärz S.; Staszewski R.; Stevenson T. J.; Stolte P.; Straessner A.; Strandberg J.; Strizenec P.; Stucci S. A.; Stugu B.; Stupak J.; Sullivan M. J.; Sumida T.; Svatos M.; Swiatlowski M.; Sykora I.; Ta D.; Tahirovic E.; Takai H.; Tapia Araya S.; Tartarelli G. F.; Tassi E.; Taylor A. C.; Taylor A. J.; Terashi K.; Terron J.; Terzo S.; Thiele F.; Thompson A. S.; Thomson E.; Tian Y.; Ticse Torres R. E.; Tikhomirov V. O; Tisserant S.; Tokushuku K.; Tomiwa K. G.; Torró Pastor E.; Toth J.; Trigger I. M.; Trincaz-Duvoid S.; Trocmé B.; Trofymov A.; Troncon C.; Trovato F.; Truong L.; Trzebinski M.; Tsai F.; Tsuno S.; Tu Y.; Tudorache A.; Tudorache V.; Turra R.; Tzovara E.; Ughetto M.; Unal G.; Ungaro F. C.; Urquijo P.; Vadla K. O. H.; Vaidya A.; Valente M.; Valero A.; Valéry L.; Van Daalen T. R.; Van Gemmeren P.; Van Vulpen I.; Vanadia M.; Vari R.; Varvell K. E.; Vazquez Furelos D.; Veloso F.; Veneziano S.; Ventura A.; Vercesi V.; Verducci M.; Vermeulen A. T.; Vetterli M. C.; Viaux Maira N.; Vickey T.; Vickey Boeriu O. E.; Villa M.; Vincter M. G.; Vivarelli I.; Vlachos S.; von Buddenbrock S. E.; Vorobel V.; Vos M.; Vranjes N.; Vranjes Milosavljevic M.; Vukotic I.; Walder J.; Walkowiak W.; Wang A. M.; Wang C.; Wanotayaroj C.; Warburton A.; Wardrope D. R.; Watkins P. M.; Watts G.; Weber C.; Weber M. S.; Weber S. A.; Weingarten J.; Weirich M.; Weiser C.; Wenaus T.; Wengler T.; Werner M. D.; Werner P.; Whalen K.; Wickens F. J.; Wielers M.; Wiglesworth C.; Willocq S.; Winkels E.; Winklmeier F.; Winter B. T.; Wolf A.; Wolter M. W.; Wolters H.; Worm S. D.; Woźniak K. W.; Wu M.; Wu S. L.; Wu X.; Xella S.; Xi Z.; Xu D.; Xu H.; Yabsley B.; Yacoob S.; Yamaguchi D.; Yamazaki T.; Yang H. J.; Yang H. T.; Yap Y. C.; Yigitbasi E.; Yorita K.; Yu J.; Zaidan R.; Zakareishvili T.; Zakharchuk N.; Zanzi D.; Zhang D. F.; Zhang D.; Zhang F.; Zhao P.; Zhemchugov A.; Zhou B.; Zhu C. G.; Zoch K.; Zorbas T. G.;We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of comp Measurements of the azimuthal anisotropy in lead–lead collisions at sNN−−−√ = 5.02 TeV are presented using a data sample corresponding to 0.49 nb−1 integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for “ultra-central” collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, v2–v7, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics vn over wide ranges of the transverse momentum, 0.5
CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu45 citations 45 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 30visibility views 30 download downloads 50 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2018 Switzerland, Italy, France, Italy, United KingdomOxford University Press (OUP) EC | OPTICON, EC | OPTICONEC| OPTICON ,EC| OPTICONAlice Zurlo; Dino Mesa; Silvano Desidera; Sergio Messina; Raffaele Gratton; Claire Moutou; Jean-Luc Beuzit; Beth Biller; Anthony Boccaletti; Mariangela Bonavita; Mickael Bonnefoy; Tanmay Bhowmik; Wolfgang Brandner; Esther Buenzli; Gael Chauvin; M. Cudel; Valentina D'Orazi; Markus Feldt; Janis Hagelberg; Markus Janson; Anne-Marie Lagrange; Maud Langlois; J. Lannier; Baptiste Lavie; C. Lazzoni; Anne-Lise Maire; Matthias Meyer; David Mouillet; S. Peretti; Clément Perrot; P. J. Potiron; Graeme Salter; T. Schmidt; E. Sissa; Arthur Vigan; Alain Delboulbé; C. Petit; Jose Ramos; F. Rigal; Sylvain Rochat;We present observations with the planet finder Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE) of a selected sample of the most promising radial velocity (RV) companions for high-contrast imaging. Using a Monte Carlo simulation to explore all the possible inclinations of the orbit of wide RV companions, we identified the systems with companions that could potentially be detected with SPHERE. We found the most favourable RV systems to observe are: HD 142, GJ 676, HD 39091, HIP 70849, and HD 30177 and carried out observations of these systems during SPHERE Guaranteed Time Observing. To reduce the intensity of the starlight and reveal faint companions, we used principal component analysis algorithms alongside angular and spectral differential imaging. We injected synthetic planets with known flux to evaluate the self-subtraction caused by our data reduction and to determine the 5σ contrast in the J band versus separation for our reduced images. We estimated the upper limit on detectable companion mass around the selected stars from the contrast plot obtained from our data reduction. Although our observations enabled contrasts larger than 15 mag at a few tenths of arcsec from the host stars, we detected no planets. However, we were able to set upper mass limits around the stars using AMES-COND evolutionary models. We can exclude the presence of companions more massive than 25–28 MJup around these stars, confirming the substellar nature of these RV companions. Monthly Notices of the Royal Astronomical Society, 480 (1) ISSN:0035-8711 ISSN:1365-2966
Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2013 Netherlands, France, FranceSpringer Science and Business Media LLC NSF | 2010 Project: Arabidopsis...NSF| 2010 Project: Arabidopsis 2010: Transcriptomes for Functional and Evolutionary StudiesHaudry, Annabelle, A.; Platts, Adrian; Vello, Emilio; Hoen, Douglas; Leclercq, Mickael; Williamson, Robert; Forczek, Ewa; Joly-Lopez, Zoé; Steffen, Joshua; Hazzouri, Khaled; Dewar, Ken; Stinchcombe, John; Schoen, Daniel; Wang, Xiaowu; Schmutz, Jeremy; Town, Christopher; Edger, Patrick; Pires, J Chris; Schumaker, Karen; Jarvis, David; Mandáková, Terezie; Lysak, Martin; van den Bergh, Erik; Schranz, M Eric; Harrison, Paul; Moses, Alan; Bureau, Thomas, E; Wright, Stephen; Blanchette, Mathieu;doi: 10.1038/ng.2684
pmid: 23817568
Despite the central importance of noncoding DNA to gene regulation and evolution, understanding of the extent of selection on plant noncoding DNA remains limited compared to that of other organisms. Here we report sequencing of genomes from three Brassicaceae species (Leavenworthia alabamica, Sisymbrium irio and Aethionema arabicum) and their joint analysis with six previously sequenced crucifer genomes. Conservation across orthologous bases suggests that at least 17% of the Arabidopsis thaliana genome is under selection, with nearly one-quarter of the sequence under selection lying outside of coding regions. Much of this sequence can be localized to approximately 90,000 conserved noncoding sequences (CNSs) that show evidence of transcriptional and post-transcriptional regulation. Population genomics analyses of two crucifer species, A. thaliana and Capsella grandiflora, confirm that most of the identified CNSs are evolving under medium to strong purifying selection. Overall, these CNSs highlight both similarities and several key differences between the regulatory DNA of plants and other species.
NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu326 citations 326 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017 FranceFrontiers Media SA CIHRCIHRAgnes Nadjar; Agnes Nadjar; Agnes Nadjar; Henna-Kaisa M. Wigren; Marie-Eve Tremblay; Marie-Eve Tremblay;Sleep serves crucial learning and memory functions in both nervous and immune systems. Microglia are brain immune cells that actively maintain health through their crucial physiological roles exerted across the lifespan, including phagocytosis of cellular debris and orchestration of neuroinflammation. The past decade has witnessed an explosive growth of microglial research. Considering the recent developments in the field of microglia and sleep, we examine their possible impact on various pathological conditions associated with a gain, disruption, or loss of sleep in this focused mini-review. While there are extensive studies of microglial implication in a variety of neuropsychiatric and neurodegenerative diseases, less is known regarding their roles in sleep disorders. It is timely to stimulate new research in this emergent and rapidly growing field of investigation.
Europe PubMed Centra... arrow_drop_down HAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu39 citations 39 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down HAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2022 Switzerland, FranceEDP Sciences EC | LENSNOVA, EC | COSMICLENS, EC | GLADIUSEC| LENSNOVA ,EC| COSMICLENS ,EC| GLADIUSSavary, E.; Rojas, K.; Maus, M.; Clément, B.; Courbin, F.; Gavazzi, R.; Chan, J. H. H.; Lemon, C.; Vernardos, G.; Cañameras, R.; Schuldt, S.; Suyu, S. H.; Cuillandre, J. -C.; Fabbro, S.; Gwyn, S.; Hudson, M. J.; Kilbinger, M.; Scott, D.; Stone, C.;We present a search for galaxy-scale strong gravitational lenses in the initial 2 500 square degrees of the Canada-France Imaging Survey (CFIS). We designed a convolutional neural network (CNN) committee that we applied to a selection of 2 344 002 exquisite-seeing $r$-band images of color-selected luminous red galaxies (LRGs). Our classification uses a realistic training set where the lensing galaxies and the lensed sources are both taken from real data, namely the CFIS $r$-band images themselves and the Hubble Space Telescope (HST). A total of 9 460 candidates obtain a score above 0.5 with the CNN committee. After a visual inspection of the candidates, we find a total of 133 lens candidates, of which 104 are completely new. The set of false positives mainly contains ring, spiral, and merger galaxies, and to a lesser extent galaxies with nearby companions. We classify 32 of the lens candidates as secure lenses and 101 as maybe lenses. For the 32 highest quality lenses, we also fit a singular isothermal ellipsoid mass profile with external shear along with an elliptical Sersic profile for the lens and source light. This automated modeling step provides distributions of properties for both sources and lenses that have Einstein radii in the range $0.5\arcsec<θ_E<2.5\arcsec$. Finally, we introduce a new lens and/or source single-band deblending algorithm based on auto-encoder representation of our candidates. This is the first time an end-to-end lens-finding and modeling pipeline is assembled together, in view of future lens searches in a single band, as will be possible with Euclid. 29 pages, 21 figures, accepted by A&A, in press
Astronomy and Astrop... arrow_drop_down Infoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationshttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Astronomy and Astrop... arrow_drop_down Infoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationshttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 FrancePublic Library of Science (PLoS) Volpov, Beth L.; Hoskins, Andrew J.; Battaile, Brian C.; Viviant, Morgane; Wheatley, Kathryn E.; Marshall, Greg; Abernathy, Kyler; Arnould, John P.Y.;International audience; This study investigated prey captures in free-ranging adult female Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted 3-axis accelerometers and animal-borne video cameras. Acceleration data was used to identify individual attempted prey captures (APC), and video data were used to independently verify APC and prey types. Results demonstrated that head-mounted accelerometers could detect individual APC but were unable to distinguish among prey types (fish, cephalopod, stingray) or between successful captures and unsuccessful capture attempts. Mean detection rate (true positive rate) on individual animals in the testing subset ranged from 67-100%, and mean detection on the testing subset averaged across 4 animals ranged from 82-97%. Mean False positive (FP) rate ranged from 15-67% individually in the testing subset, and 26-59% averaged across 4 animals. Surge and sway had significantly greater detection rates, but also conversely greater FP rates compared to heave. Video data also indicated that some head movements recorded by the accelerometers were unrelated to APC and that a peak in acceleration variance did not always equate to an individual prey item. The results of the present study indicate that head-mounted accelerometers provide a complementary tool for investigating foraging behaviour in pinnipeds, but that detection and FP correction factors need to be applied for reliable field application.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0128789&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0128789&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2013 FranceIOP Publishing Marini, P.; Bonasera, A.; Mcintosh, A.; Boisjoli, M.; Wigg, P.; Chbihi, A.;The impact of the secondary de-excitation on isotopic distributions commonly used as observable to extract information on the symmetry energy is pointed out. A comparison of three methods differently affected by secondary decay shows a good agreement of the results up to A = 20, suggesting a lack of secondary decay effects in our data within our resolution. Data from the 4π detector INDRA and the VAMOS spectrometer could extend this work to higher A. The same data allow us to perform a primary fragment reconstruction, which opens up the possibility of planning a program on charged particle spectroscopy of exotic nuclei.
Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesArticle . 2013License: IOP Copyright PoliciesData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/420/1/012096&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesArticle . 2013License: IOP Copyright PoliciesData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2012add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/420/1/012096&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu