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7 results on '"NYU System (NYU)"'

1. The genetic architecture of genome-wide recombination rate variation in allopolyploid wheat revealed by nested association mapping

Author

Jamie D. Sherman, Eduard Akhunov, Fei He, Luther E. Talbert, Jorge Dubcovsky, Yanni Lun, Katherine W. Jordan, Etienne Paux, Alina Akhunova, Karl D. Glover, Shiaoman Chao, Michael O. Pumphrey, Nancy K. Blake, Pierre Sourdille, Shichen Wang, Department of Plant Pathology, Shizuoka University, USDA-ARS : Agricultural Research Service, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Montana State University (MSU), Integrated Genomics Facility, Kansas State University, Department of Crop and Soil Sciences, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Agronomy, Horticulture and Plant Science, South Dakota State University (SDSTATE), Department of Plant Sciences (DPS), University of Cambridge [UK] (CAM), Howard Hughes Medical Institute [New York] (HHMI), Howard Hughes Medical Institute (HHMI)-Rockefeller University [New York]-Columbia University Irving Medical Center (CUIMC)-New York University School of Medicine, NYU System (NYU)-NYU System (NYU), Agriculture Food Research Initiative from the USDA National Institute of Food and Agriculture 67007-25939 2016-67013-24473, Howard Hughes Medical Institute, Gordon and Betty Moore Foundation, French Government ANR-10-BTBR-03, FranceAgriMer, French Funds to support Plant Breeding (FSOV), INRA, Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Howard Hughes Medical Institute [New York], New York University School of Medicine, NYU System (NYU)-NYU System (NYU)-Rockefeller University [New York]-Columbia University Irving Medical Center (CUIMC), and NYU System (NYU)-NYU System (NYU)-Columbia University Irving Medical Center (CUIMC)-Rockefeller University [New York]

Subjects
0301 basic medicine, [SDV]Life Sciences [q-bio], Population, Quantitative Trait Loci, Plant Biology & Botany, Plant Biology, Single-nucleotide polymorphism, Plant Science, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Polyploidy, polyploid wheat, 03 medical and health sciences, Gene mapping, blé, Genetic, crossovers, wheat, Genetics, nested association mapping, Nested association mapping, Polymorphism, interstitial CO QTL, education, Triticum, Alleles, Recombination, Genetic, recombination rate, education.field_of_study, Genome, food and beverages, Chromosome Mapping, Genetic Variation, Cell Biology, Original Articles, Single Nucleotide, Plant, Genetic architecture, Recombination, Genetic load, 030104 developmental biology, Genetic marker, Original Article, deleterious SNPs, Genome, Plant, Genome-Wide Association Study
Abstract

Summary Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling of genetic information. Understanding the genetic basis of these constraints is critical for manipulating the recombination process to improve the resolution of genetic mapping, and reducing the negative effects of linkage drag and deleterious genetic load in breeding. Using sequence‐based genotyping of a wheat nested association mapping (NAM) population of 2,100 recombinant inbred lines created by crossing 29 diverse lines, we mapped QTL affecting the distribution and frequency of 102 000 crossovers (CO). Genome‐wide recombination rate variation was mostly defined by rare alleles with small effects together explaining up to 48.6% of variation. Most QTL were additive and showed predominantly trans‐acting effects. The QTL affecting the proximal COs also acted additively without increasing the frequency of distal COs. We showed that the regions with decreased recombination carry more single nucleotide polymorphisms (SNPs) with possible deleterious effects than the regions with a high recombination rate. Therefore, our study offers insights into the genetic basis of recombination rate variation in wheat and its effect on the distribution of deleterious SNPs across the genome. The identified trans‐acting additive QTL can be utilized to manipulate CO frequency and distribution in the large polyploid wheat genome opening the possibility to improve the efficiency of gene pyramiding and reducing the deleterious genetic load in the low‐recombining pericentromeric regions of chromosomes., Significance Statement This study offers insights into the genetic basis of recombination rate variation in allopolyploid wheat and its effect on the distribution of deleterious SNPs across the genome. The identified trans‐acting additive recombination rate QTL can be utilized to manipulate crossover frequency and distribution in the large polyploid wheat genome opening the possibility to improve the efficiency of gene pyramiding and reducing the deleterious genetic load in the low recombining pericentromeric regions of chromosomes.

Published
2018

2. The Mistral base case to validate kinetic and fluid turbulence transport codes of the edge and SOL plasmas

Author

M. Kocan, Seung-Hoe Ku, Guillaume Chiavassa, Philippe Ghendrih, Livia Isoardi, Guido Ciraolo, Patrick Diamond, J. P. Gunn, Tore Team, Patrick Tamain, Guilhem Dif-Pradalier, Nicolas Fedorczak, Choong-Seock Chang, Eric Serre, Center for Astrophysics and Space Sciences [La Jolla] (CASS), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Institut de Recherche sur la Fusion par confinement Magnétique (IRFM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire de Mécanique, Modélisation et Procédés Propres (M2P2), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Courant Institute of Mathematical Sciences [New York] (CIMS), New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), European Communities under the Contract of Association between EURATOM and CEA, was carried out within the framework of the European Fusion Development Agreement., ANR-09-BLAN-0035,ESPOIR(2009), University of California-University of California, and Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)

Subjects
Physics, Nuclear and High Energy Physics, Energy, Turbulence, Base (geometry), Plasma, Mechanics, Materials Engineering, Edge (geometry), Linear analysis, Tore Supra, Kinetic energy, 01 natural sciences, Instability, 010305 fluids & plasmas, Nuclear Energy and Engineering, [PHYS.PHYS.PHYS-PLASM-PH]Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph], Physics::Plasma Physics, 0103 physical sciences, General Materials Science, [NLIN]Nonlinear Sciences [physics], Statistical physics, 010306 general physics
Abstract

International audience; Experimental data from the Tore Supra experiments are extrapolated in the SOL and edge to investigate the Kelvin–Helmholtz instability. The linear analysis indicates that a large part of the SOL is rather unstable. The effort is part of the setup of the Mistral base case that is organised to validate the codes and address new issues on turbulent edges, including the comparison of kinetic and fluid modelling in the edge plasma.

Published
2011

3. On the validity of the local diffusive paradigm in turbulent plasma transport

Author

Ph. Ghendrih, J. Abiteboul, Xavier Garbet, Seung-Hoe Ku, Yanick Sarazin, V. Grandgirard, Guilhem Dif-Pradalier, Patrick Diamond, Antoine Strugarek, Choong-Seock Chang, Center for Astrophysics and Space Sciences [La Jolla] (CASS), University of California [San Diego] (UC San Diego), University of California-University of California, Institut de Recherche sur la Fusion par confinement Magnétique (IRFM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Courant Institute of Mathematical Sciences [New York] (CIMS), New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), HPC resources from NCSS Jaguar and Genci-CCRT/CINES/IDRIS, Grant No. 2009-052224, and University of California (UC)-University of California (UC)

Subjects
Physics, Turbulent plasma, Fluids & Plasmas, Plasma turbulence, Lévy distribution, Mesoscale meteorology, 01 natural sciences, Constructive, Mathematical Sciences, 010305 fluids & plasmas, Action at a distance, Engineering, Flow (mathematics), [PHYS.PHYS.PHYS-PLASM-PH]Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph], 0103 physical sciences, Physical Sciences, Statistical physics, [NLIN]Nonlinear Sciences [physics], Magnetohydrodynamics, 010306 general physics
Abstract

International audience; A systematic, constructive and self-consistent procedure to quantify nonlocal, nondiffusive action at a distance in plasma turbulence is exposed and applied to turbulent heat fluxes computed from the state-of-the-art full-f, flux-driven gyrokinetic GYSELA and XGC1 codes. A striking commonality is found: heat transport below a dynamically selected mesoscale has the structure of a Lévy distribution, is strongly nonlocal, nondiffusive, scale-free, and avalanche mediated; at larger scales, we report the observation of a self-organized flow structure which we call the " E B staircase " after its planetary analog.

Published
2010

4. Combining sensor tracking with a GPS-based mobility survey to better measure physical activity in trips: public transport generates walking

Author

Ruben Brondeel, Tarik Benmarhnia, Yan Kestens, Basile Chaix, Philippe Gerber, Dustin T. Duncan, Camille Perchoux, Gestionnaire, Hal Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU), University of California [San Diego] (UC San Diego), University of California (UC), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), New York University [New York] (NYU), NYU System (NYU), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), and University of California

Subjects
Computer science, [SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Medicine (miscellaneous), Transport, Physical Therapy, Sports Therapy and Rehabilitation, Transportation, Walking, Accelerometer, Medical and Health Sciences, Education, Transport engineering, 03 medical and health sciences, 0302 clinical medicine, Computer-Assisted, Sustainable Cities and Communities, 11. Sustainability, Accelerometry, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Humans, 030212 general & internal medicine, lcsh:RC620-627, Metabolic and endocrine, Measure (data warehouse), Nutrition and Dietetics, business.industry, lcsh:Public aspects of medicine, Research, lcsh:RA1-1270, Signal Processing, Computer-Assisted, 030229 sport sciences, 16. Peace & justice, lcsh:Nutritional diseases. Deficiency diseases, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Public transport, Assisted GPS, Signal Processing, Global Positioning System, Geographic Information Systems, TRIPS architecture, Survey data collection, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Tracking (education), Public Health, Generic health relevance, business, Global positioning system
Abstract

Background Policymakers need accurate data to develop efficient interventions to promote transport physical activity. Given the imprecise assessment of physical activity in trips, our aim was to illustrate novel advances in the measurement of walking in trips, including in trips incorporating non-walking modes. Methods We used data of 285 participants (RECORD MultiSensor Study, 2013–2015, Paris region) who carried GPS receivers and accelerometers over 7 days and underwent a phone-administered web mobility survey on the basis of algorithm-processed GPS data. With this mobility survey, we decomposed trips into unimodal trip stages with their start/end times, validated information on travel modes, and manually complemented and cleaned GPS tracks. This strategy enabled to quantify walking in trips with different modes with two alternative metrics: distance walked and accelerometry-derived number of steps taken. Results Compared with GPS-based mobility survey data, algorithm-only processed GPS data indicated that the median distance covered by participants per day was 25.3 km (rather than 23.4 km); correctly identified transport time vs. time at visited places in 72.7% of time; and correctly identified the transport mode in 67% of time (and only in 55% of time for public transport). The 285 participants provided data for 8983 trips (21,163 segments of observation). Participants spent a median of 7.0% of their total time in trips. The median distance walked per trip was 0.40 km for entirely walked trips and 0.85 km for public transport trips (the median number of accelerometer steps were 425 and 1352 in the corresponding trips). Overall, 33.8% of the total distance walked in trips and 37.3% of the accelerometer steps in trips were accumulated during public transport trips. Residents of the far suburbs cumulated a 1.7 times lower distance walked per day and a 1.6 times lower number of steps during trips per 8 h of wear time than residents of the Paris core city. Conclusions Our approach complementing GPS and accelerometer tracking with a GPS-based mobility survey substantially improved transport mode detection. Our findings suggest that promoting public transport use should be one of the cornerstones of policies to promote physical activity.

Published
2019

5. Pathways to electrochemical solar-hydrogen technologies

Author

Eric L. Miller, Valerio Di Palma, Maureen H. Tang, Shane Ardo, Alan Berger, Francesco Buda, Katherine E. Ayers, Stafford W. Sheehan, Enrico Chinello, Han Gardeniers, Kornelia Konrad, Jurriaan Huskens, Brian D. James, Katsushi Fujii, S. Mohammad H. Hashemi, Jan Willem Schüttauf, David Fernandez Rivas, Timothy E. Rosser, Brian Seger, Fatwa F. Abdi, Peter Christian Kjærgaard Vesborg, Dmytro Bederak, Verena Schulze Greiving, Pieter Westerik, Bernard Dam, Hans Geerlings, Detlef Lohse, Miguel A. Modestino, Katherine L. Orchard, Frances A. Houle, Tomas Edvinsson, Akihiko Kudo, Wilson A. Smith, Esther Alarcon Llado, Bastian Mei, Jan-Philipp Becker, Fadl H. Saadi, Corsin Battaglia, Gary F. Moore, Jiri Muller, Roel van de Krol, Joshua M. Spurgeon, Vincent Artero, Sophia Haussener, Pramod Patil Kunturu, Department of Chemistry [Irvine], University of California [Irvine] (UCI), University of California-University of California, Department of Chemical Engineering and Materials Science, Institute for Nanotechnology (MESA+), University of Twente [Netherlands], Mesoscale Chemical Systems Group, New York University [New York] (NYU), NYU System (NYU), Department of Science, Technology, Health and Policy Studies, Institute for Solar Fuels [Berlin], Helmholtz-Zentrum Berlin für Materialien und Energie GmbH (HZB), Center for Nanophotonics, FOM Institute for Atomic and Molecular Physics (AMOLF), Laboratoire de Chimie et Biologie des Métaux (LCBM - UMR 5249), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Proton OnSite, Wallingford, USA, Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] (EMPA), Institut für Energie- und Klimaforschung - Photovoltaik (IEK-5), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Zernike Institute for Advanced Materials, University of Groningen [Groningen], Air Products and Chemicals, Inc (AIR PRODUCTS AND CHEMICALS), Air Products and Chemicals, Inc., Leiden Institute of Chemistry, Universiteit Leiden [Leiden], Ecole Polytechnique Fédérale de Lausanne (EPFL), Delft University of Technology (TU Delft), Department of Applied Physics [Eindhoven], Eindhoven University of Technology [Eindhoven] (TU/e), Department of Engineering Sciences, The Ångström Laboratory, Uppsala University, SE-75121 Uppsala, Sweden, University of Kitakyushu, Institute of Environmental Science and Technology, Wakamatsu-ku, Kitakyushu, Japan, MESA+ Institute for Nanotechnology, Chemical Sciences Division [LBNL Berkeley] (CSD), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Molecular Nanofabrication Group, Enschede, Strategic Analysis Inc, Tokyo University of Science [Tokyo], Physics of Fluids Group, Photocatalytic Synthesis Group, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office (EERE), Division of Engineering and Applied Science, California Institute of Technology, California Institute of Technology (CALTECH), Plasma & Materials Processing, Mesoscale Chemical Systems, Molecular Nanofabrication, Physics of Fluids, Photocatalytic Synthesis, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), University of Twente, Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Universiteit Leiden, and Uppsala University

Subjects
EFFICIENCY, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, Process (engineering), Solar hydrogen, WATER-SPLITTING SYSTEMS, Bioengineering, Energy Engineering, 02 engineering and technology, 010402 general chemistry, 01 natural sciences, 7. Clean energy, Energy engineering, solar fuels, solar chemical technologies, Affordable and Clean Energy, MD Multidisciplinary, Environmental Chemistry, Production (economics), NEAR-NEUTRAL PH, SDG 7 - Affordable and Clean Energy, PHOTOVOLTAIC-ELECTROLYSIS, RENEWABLE ENERGY, Power to gas, Energy, Renewable Energy, Sustainability and the Environment, business.industry, LOW-COST, DRIVEN, Environmental economics, 021001 nanoscience & nanotechnology, Pollution, ARTIFICIAL PHOTOSYNTHESIS, 0104 chemical sciences, Renewable energy, Energiteknik, Nuclear Energy and Engineering, 13. Climate action, [SDE]Environmental Sciences, POWER-TO-GAS, Technology roadmap, Business, 0210 nano-technology, Polymer electrolyte membrane electrolysis, SDG 7 – Betaalbare en schone energie, PEM ELECTROLYSIS
Abstract

© 2018 The Royal Society of Chemistry. Solar-powered electrochemical production of hydrogen through water electrolysis is an active and important research endeavor. However, technologies and roadmaps for implementation of this process do not exist. In this perspective paper, we describe potential pathways for solar-hydrogen technologies into the marketplace in the form of photoelectrochemical or photovoltaic-driven electrolysis devices and systems. We detail technical approaches for device and system architectures, economic drivers, societal perceptions, political impacts, technological challenges, and research opportunities. Implementation scenarios are broken down into short-term and long-term markets, and a specific technology roadmap is defined. In the short term, the only plausible economical option will be photovoltaic-driven electrolysis systems for niche applications. In the long term, electrochemical solar-hydrogen technologies could be deployed more broadly in energy markets but will require advances in the technology, significant cost reductions, and/or policy changes. Ultimately, a transition to a society that significantly relies on solar-hydrogen technologies will benefit from continued creativity and influence from the scientific community.

Published
2018

6. The extended Baryon Oscillation Spectroscopic Survey: Variability selection and quasar luminosity function

Author

Graziano Rossi, C. Magneville, Nathalie Palanque-Delabrouille, Jeremy L. Tinker, Alina Streblyanska, Ian D. McGreer, Isabelle Pâris, Etienne Burtin, David J. Schlegel, Kyle S. Dawson, Patrick Petitjean, Adam D. Myers, Ch. Yèche, D. P. Schneider, Département de Physique des Particules (ex SPP) (DPP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, INAF - Osservatorio Astronomico di Trieste (OAT), Istituto Nazionale di Astrofisica (INAF), Institut d'Astrophysique de Paris (IAP), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), University of Utah, University of Arizona, University of Wyoming (UW), Sejong University, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Institute for Gravitation and the Cosmos [PennState], Pennsylvania State University (Penn State), Penn State System-Penn State System, Instituto de Astrofisica de Canarias (IAC), New York University [New York] (NYU), NYU System (NYU), Département de Physique des Particules (ex SPP) (DPhP), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Astronomy & Astrophysics, 01 natural sciences, Flattening, surveys, quasars: general, 0103 physical sciences, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, media_common, Physics, general [quasars], 010308 nuclear & particles physics, Astronomy and Astrophysics, Quasar, Redshift, Galaxy, Baryon, Space and Planetary Science, Sky, Selection method, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astronomical and Space Sciences, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The SDSS-IV/eBOSS has an extensive quasar program that combines several selection methods. Among these, the photometric variability technique provides highly uniform samples, unaffected by the redshift bias of traditional optical-color selections, when $z= 2.7 - 3.5$ quasars cross the stellar locus or when host galaxy light affects quasar colors at $z < 0.9$. Here, we present the variability selection of quasars in eBOSS, focusing on a specific program that led to a sample of 13,876 quasars to $g_{\rm dered}=22.5$ over a 94.5 deg$^2$ region in Stripe 82, an areal density 1.5 times higher than over the rest of the eBOSS footprint. We use these variability-selected data to provide a new measurement of the quasar luminosity function (QLF) in the redshift range $0.682.2$. Both models are constrained to be continuous at $z=2.2$. They present a flattening of the bright-end slope at large redshift. The LEDE model indicates a reduction of the break density with increasing redshift, but the evolution of the break magnitude depends on the parameterization. The models are in excellent accord, predicting quasar counts that agree within 0.3\% (resp., 1.1\%) to $g, Comment: 15 pages, 12 figures, accepted for publication in A&A

Published
2016

7. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Cosmological implications of the full shape of the clustering wedges in the data release 10 and 11 galaxy samples

Author

Shirley Ho, Florian Beutler, Daniel J. Eisenstein, Jeremy L. Tinker, Eyal A. Kazin, Benjamin A. Weaver, Ashley J. Ross, Francesco Montesano, Idit Zehavi, Daniel Thomas, Kyle S. Dawson, Will J. Percival, David A. Wake, Joel R. Brownstein, K. Honscheid, Martin White, Lado Samushia, Donald P. Schneider, Jon Brinkmann, Cameron K. McBride, David J. Schlegel, Ariel G. Sánchez, Éric Aubourg, Antonio J. Cuesta, Ramin A. Skibba, Claudia Maraston, Marc Manera, Rita Tojeiro, AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), University of Utah, McMaster University [Hamilton, Ontario], Ohio State University [Columbus] (OSU), Institute of cosmology and gravitation, University of Portsmouth, Institut Lagrange de Paris, Sorbonne Université (SU), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Pennsylvania State University (Penn State), Penn State System, Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), New York University [New York] (NYU), NYU System (NYU), University of St Andrews [Scotland], College of William and Mary [Williamsburg] (WM), Universitat de Barcelona, University of St Andrews. School of Physics and Astronomy, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Astrofísica, Cosmology and Gravitation, Cold dark matter, Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Cosmic microwave background, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Correlation function (astronomy), Astronomy & Astrophysics, 01 natural sciences, Observacions astronòmiques, 0103 physical sciences, cosmological parameters, Cluster analysis, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, ComputingMilieux_MISCELLANEOUS, media_common, Physics, [PHYS]Physics [physics], Cosmologia, 010308 nuclear & particles physics, Oscillation, Astronomy, Astronomy and Astrophysics, Galaxy, Cosmology, Baryon, Space and Planetary Science, Sky, astro-ph.CO, High Energy Physics::Experiment, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astronomical and Space Sciences, Astrophysics - Cosmology and Nongalactic Astrophysics, Astronomical observations
Abstract

We explore the cosmological implications of the angle-averaged correlation function, xi(s), and the clustering wedges, xi_perp(s) and xi_para(s), of the LOWZ and CMASS galaxy samples from Data Release 10 and 11 of the SDSS-III Baryon Oscillation Spectroscopic Survey. Our results show no significant evidence for a deviation from the standard LCDM model. The combination of the information from our clustering measurements with recent data from the cosmic microwave background is sufficient to constrain the curvature of the Universe to Omega_k = 0.0010 +- 0.0029, the total neutrino mass to Sum m_nu < 0.23 eV (95% confidence level), the effective number of relativistic species to N_eff=3.31 +- 0.27, and the dark energy equation of state to w_DE = -1.051 +- 0.076. These limits are further improved by adding information from type Ia supernovae and baryon acoustic oscillations from other samples. In particular, this data set combination is completely consistent with a time-independent dark energy equation of state, in which case we find w_DE=-1.024 +- 0.052. We explore the constraints on the growth-rate of cosmic structures assuming f(z)=Omega_m(z)^gamma and obtain gamma=0.69 +- 0.15, in agreement with the predictions from general relativity of gamma=0.55., 24 pages, 14 figures. Submitted to MNRAS. Measurements and covariance matrices are available at https://sdss3.org/science/boss_publications.php

Published
2014

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