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Dark Energy Survey Year 3 results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering

Physical Review D 2023年第8期107卷 083504-083504页

作者： T. M. C. Abbott M. Aguena A. Alarcon O. Alves A. Amon F. Andrade-Oliveira J. Annis S. Avila D. Bacon E. Baxter K. Bechtol M. R. Becker G. M. Bernstein S. Birrer J. Blazek S. Bocquet A. Brandao-Souza S. L. Bridle D. Brooks D. L. Burke H. Camacho A. Campos A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. Chang A. Chen R. Chen A. Choi C. Conselice J. Cordero M. Costanzi M. Crocce L. N. da Costa M. E. S. Pereira C. Davis T. M. Davis J. DeRose S. Desai E. Di Valentino H. T. Diehl S. Dodelson P. Doel C. Doux A. Drlica-Wagner K. Eckert T. F. Eifler F. Elsner J. Elvin-Poole S. Everett X. Fang A. Farahi I. Ferrero A. Ferté B. Flaugher P. Fosalba D. Friedel O. Friedrich J. Frieman J. García-Bellido M. Gatti L. Giani T. Giannantonio G. Giannini D. Gruen R. A. Gruendl J. Gschwend G. Gutierrez N. Hamaus I. Harrison W. G. Hartley K. Herner S. R. Hinton D. L. Hollowood K. Honscheid H. Huang E. M. Huff D. Huterer B. Jain D. J. James M. Jarvis N. Jeffrey T. Jeltema A. Kovacs E. Krause K. Kuehn N. Kuropatkin O. Lahav S. Lee P.-F. Leget P. Lemos C. D. Leonard A. R. Liddle M. Lima H. Lin N. MacCrann J. L. Marshall J. McCullough J. Mena-Fernández F. Menanteau R. Miquel V. Miranda J. J. Mohr J. Muir J. Myles S. Nadathur A. Navarro-Alsina R. C. Nichol R. L. C. Ogando Y. Omori A. Palmese S. Pandey Y. Park M. Paterno F. Paz-Chinchón W. J. Percival A. Pieres A. A. Plazas Malagón A. Porredon J. Prat M. Raveri M. Rodriguez-Monroy P. Rogozenski R. P. Rollins A. K. Romer A. Roodman R. Rosenfeld A. J. Ross E. S. Rykoff S. Samuroff C. Sánchez E. Sanchez J. Sanchez D. Sanchez Cid V. Scarpine D. Scolnic L. F. Secco I. Sevilla-Noarbe E. Sheldon T. Shin M. Smith M. Soares-Santos E. Suchyta M. Tabbutt G. Tarle D. Thomas C. To A. Troja M. A. Troxel I. Tutusaus T. N. Varga M. Vincenzi A. R. Walker N. Weaverdyck R. H. Wechsler J. Weller B. Yanny B. Yin Y. Zhang J. Zuntz Cerro Tololo Inter-American Observatory NSF’s National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile Laboratório Interinstitucional de e-Astronomia-LIneA Rua General José Cristino 77 Rio de Janeiro Rio de Janeiro 20921-400 Brazil Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Institute of Astronomy University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Fermi National Accelerator Laboratory P. O. Box 500 Batavia Illinois 60510 USA Instituto de Fisica Teorica UAM/CSIC Universidad Autonoma de Madrid 28049 Madrid Spain Institute of Cosmology and Gravitation University of Portsmouth Portsmouth PO1 3FX United Kingdom Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive Honolulu Hawaii 96822 USA Physics Department 2320 Chamberlin Hall University of Wisconsin-Madison 1150 University Avenue Madison Wisconsin 53706-1390 USA Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Kavli Institute for Particle Astrophysics and Cosmology P. O. Box 2450 Stanford University Stanford California 94305 USA SLAC National Accelerator Laboratory Menlo Park California 94025 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA University Observatory Faculty of Physics Ludwig-Maximilians-Universität Scheinerstrasse 1 81679 Munich Germany Instituto de Física Gleb Wataghin Universidade Estadual de Campinas 13083-859 Campinas São Paulo Brazil Jodrell Bank Center for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road Manchester M13 9PL United Kingdom Department of Physics and Astronomy University College London Gower Street London WC1E 6BT United Kingdom Instituto de Física Teórica Universidade Estadual

We constrain six possible extensions to the Λ cold dark matter (CDM) model using measurements from the Dark Energy Survey’s first three years of observations, alone and in combination with external cosmological probes. The DES data are the two-point correlation functions of weak gravitational lensing, galaxy clustering, and their cross-correlation. We use simulated data vectors and blind analyses of real data to validate the robustness of our results to astrophysical and modeling systematic errors. In many cases, constraining power is limited by the absence of theoretical predictions beyond the linear regime that are reliable at our required precision. The ΛCDM extensions are dark energy with a time-dependent equation of state, nonzero spatial curvature, additional relativistic degrees of freedom, sterile neutrinos with eV-scale mass, modifications of gravitational physics, and a binned σ8(z) model which serves as a phenomenological probe of structure growth. For the time-varying dark energy equation of state evaluated at the pivot redshift we find (wp,wa)=(−0.99−0.17+0.28,−0.9±1.2) at 68% confidence with zp=0.24 from the DES measurements alone, and (wp,wa)=(−1.03−0.03+0.04,−0.4−0.3+0.4) with zp=0.21 for the combination of all data considered. Curvature constraints of Ωk=0.0009±0.0017 and effective relativistic species Neff=3.10−0.16+0.15 are dominated by external data, though adding DES information to external low-redshift probes tightens the Ωk constraints that can be made without cosmic microwave background observables by 20%. For massive sterile neutrinos, DES combined with external data improves the upper bound on the mass meff by a factor of 3 compared to previous analyses, giving 95% limits of (ΔNeff,meff)≤(0.28,0.20 eV) when using priors matching a comparable Planck analysis. For modified gravity, we constrain changes to the lensing and Poisson equations controlled by functions Σ(k,z)=Σ0ΩΛ(z)/ΩΛ,0 and μ(k,z)=μ0ΩΛ(z)/ΩΛ,0, respectively, to Σ0=0.6−0.5+0.4 fro

关键词： Cosmological constant Cosmological parameters Cosmology Dark energy Dark matter Galaxies Large scale structure of the Universe Telescopes

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Comments on recent proposed Cui Et Al.’s KASE and Lu Et Al.’s dIBEKS schemes

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Journal of Information Hiding and Multimedia Signal Processing 2018年第1期9卷 162-169页

作者： Wu, Tsu-Yang Meng, Chao Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School HIT Campus of University Town of Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Searchable encryption is a cryptographic primitive used to search an encrypted data in cloud storage. Recently, Cui et al. and Lu et al. proposed two variants of secure searchable encryption schemes, respectively. However, based on our best knowledge we demonstrate that the both schemes are insecure against different types of off-line keyword guessing attacks in this paper. Finally, we make discussions about searchable encryption schemes whether resisting off-line keyword guessing attacks. © 2018, Ubiquitous International. All rights reserved.

关键词： Cloud storage

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DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey data with Deep Learning

arXiv

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arXiv 2022年

作者： Morgan, Robert Nord, B. Bechtol, K. Möller, A. Hartley, W.G. Birrer, S. González, S.J. Martinez, M. Gruendl, R.A. Buckley-Geer, E.J. Shajib, A.J. Carnero Rosell, A. Lidman, C. Collett, T. Abbott, T.M.C. Aguena, M. Andrade-Oliveira, F. Annis, J. Bacon, D. Bocquet, S. Brooks, D. Burke, D.L. Carrasco Kind, M. Carretero, J. Castander, F.J. Conselice, C. da Costa, L.N. Costanzi, M. De Vicente, J. Desai, S. Doel, P. Everett, S. Ferrero, I. Flaugher, B. Friedel, D. Frieman, J. García-Bellido, J. Gaztanaga, E. Gruen, D. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. Kuehn, K. Kuropatkin, N. Lahav, O. Lima, M. Menanteau, F. Miquel, R. Palmese, A. Paz-Chinchón, F. Pereira, M.E.S. Pieres, A. Plazas Malagón, A.A. Prat, J. Rodriguez-Monroy, M. Romer, A.K. Roodman, A. Sanchez, E. Scarpine, V. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M.E.C. Tarle, G. Thomas, D. Varga, T.N. Physics Department University of Wisconsin-Madison MadisonWI53706 United States Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Legacy Survey of Space and Time Corporation Data Science Fellowship Program United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Legacy Survey of Space and Time 933 North Cherry Avenue TucsonAZ85721 United States Centre for Astrophysics & Supercomputing Swinburne University of Technology VIC3122 Australia Department of Astronomy University of Geneva ch. d'Ecogia 16 VersoixCH-1290 Switzerland Kavli Institute for Particle Astrophysics and Cosmology Department of Physics Stanford University StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Center for Astrophysical Surveys National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Instituto de Astrofisica de Canarias Tenerife La LagunaE-38205 Spain Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Universidad de La Laguna Dpto. Astrofísica Tenerife La LagunaE-38206 Spain Centre for Gravitational Astrophysics College of Science The Australian National University ACT2601 Australia The Research School of Astronomy and Astrophysics The Australian National University ACT2601 Australia Institute of Cosmology and Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom Cerro Tololo Inter-American Observatory NSF's National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile Department of Physics University of Michigan Ann ArborMI48109 United States University Observatory Faculty of Ph

Gravitationally lensed supernovae (LSNe) are important probes of cosmic expansion, but they remain rare and difficult to find. Current cosmic surveys likely contain 5-10 LSNe in total while next-generation experiments are expected to contain several hundreds to a few thousands of these systems. We search for these systems in observed Dark Energy Survey (DES) 5-year SN fields - 10 3-sq. deg. regions of sky imaged in the griz bands approximately every six nights over five years. To perform the search, we utilize the DeepZipper approach: a multi-branch deep learning architecture trained on image-level simulations of LSNe that simultaneously learns spatial and temporal relationships from time series of images. We find that our method obtains a LSN recall of 61.13% and a false positive rate of 0.02% on the DES SN field data. DeepZipper selected 2,245 candidates from a magnitude-limited (mi Copyright © 2022, The Authors. All rights reserved.

关键词： Supernovae

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Dark energy survey year 3 results: High-precision measurement and modeling of galaxy-galaxy lensing

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Physical Review D 2022年第8期105卷 083528-083528页

作者： J. Prat J. Blazek C. Sánchez I. Tutusaus S. Pandey J. Elvin-Poole E. Krause M. A. Troxel L. F. Secco A. Amon J. DeRose G. Zacharegkas C. Chang B. Jain N. MacCrann Y. Park E. Sheldon G. Giannini S. Bocquet C. To A. Alarcon O. Alves F. Andrade-Oliveira E. Baxter K. Bechtol M. R. Becker G. M. Bernstein H. Camacho A. Campos A. Carnero Rosell M. Carrasco Kind R. Cawthon R. Chen A. Choi J. Cordero M. Crocce C. Davis J. De Vicente H. T. Diehl S. Dodelson C. Doux A. Drlica-Wagner K. Eckert T. F. Eifler F. Elsner S. Everett X. Fang A. Farahi A. Ferté P. Fosalba O. Friedrich M. Gatti D. Gruen R. A. Gruendl I. Harrison W. G. Hartley K. Herner H. Huang E. M. Huff D. Huterer M. Jarvis N. Kuropatkin P.-F. Leget P. Lemos A. R. Liddle J. McCullough J. Muir J. Myles A. Navarro-Alsina A. Porredon M. Raveri M. Rodriguez-Monroy R. P. Rollins A. Roodman R. Rosenfeld A. J. Ross E. S. Rykoff J. Sanchez I. Sevilla-Noarbe T. Shin A. Troja T. N. Varga N. Weaverdyck R. H. Wechsler B. Yanny B. Yin J. Zuntz T. M. C. Abbott M. Aguena S. Allam J. Annis D. Bacon D. Brooks D. L. Burke J. Carretero C. Conselice M. Costanzi L. N. da Costa M. E. S. Pereira S. Desai J. P. Dietrich P. Doel A. E. Evrard I. Ferrero B. Flaugher J. Frieman J. García-Bellido E. Gaztanaga D. W. Gerdes T. Giannantonio J. Gschwend G. Gutierrez S. R. Hinton D. L. Hollowood K. Honscheid D. J. James K. Kuehn O. Lahav H. Lin M. A. G. Maia J. L. Marshall P. Martini P. Melchior F. Menanteau C. J. Miller R. Miquel J. J. Mohr R. Morgan R. L. C. Ogando A. Palmese F. Paz-Chinchón D. Petravick A. A. Plazas Malagón E. Sanchez S. Serrano M. Smith M. Soares-Santos E. Suchyta G. Tarle D. Thomas J. Weller Department of Astronomy and Astrophysics University of Chicago Chicago Illinois 60637 USA Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA Laboratory of Astrophysics École Polytechnique Fédérale de Lausanne (EPFL) Observatoire de Sauverny 1290 Versoix Switzerland Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Institut d’Estudis Espacials de Catalunya (IEEC) 08034 Barcelona Spain Institute of Space Sciences (ICE CSIC) Campus UAB Carrer de Can Magrans Sin número 08193 Barcelona Spain Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Department of Physics The Ohio State University Columbus Ohio 43210 USA Department of Astronomy/Steward Observatory University of Arizona 933 North Cherry Avenue Tucson Arizona 85721-0065 USA Department of Physics Duke University Durham North Carolina 27708 USA Kavli Institute for Particle Astrophysics and Cosmology P. O. Box 2450 Stanford University Stanford California 94305 USA Lawrence Berkeley National Laboratory 1 Cyclotron Road Berkeley California 94720 USA Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge CB3 0WA United Kingdom Kavli Institute for the Physics and Mathematics of the Universe (WPI) UTIAS The University of Tokyo Kashiwa Chiba 277-8583 Japan Brookhaven National Laboratory Building 510 Upton New York 11973 USA Institut de Física d’Altes Energies (IFAE) The Barcelona Institute of Science and Technology Campus UAB 08193 Bellaterra (Barcelona) Spain Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 81679 Munich Germany Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA SLAC National Accelerator Laboratory Menlo Park California 94025 USA Argonne National Laboratory 9700 South Cass A

We present and characterize the galaxy-galaxy lensing signal measured using the first three years of data from the Dark Energy Survey (DES Y3) covering 4132 deg2. These galaxy-galaxy measurements are used in the DES Y3 3×2 pt cosmological analysis, which combines weak lensing and galaxy clustering information. We use two lens samples: a magnitude-limited sample and the redmagic sample, which span the redshift range ∼0.2–1 with 10.7 and 2.6 M galaxies, respectively. For the source catalog, we use the metacalibration shape sample, consisting of ≃100 M galaxies separated into four tomographic bins. Our galaxy-galaxy lensing estimator is the mean tangential shear, for which we obtain a total SNR of ∼148 for maglim (∼120 for redmagic), and ∼67 (∼55) after applying the scale cuts of 6 Mpc/h. Thus we reach percent-level statistical precision, which requires that our modeling and systematic-error control be of comparable accuracy. The tangential shear model used in the 3×2 pt cosmological analysis includes lens magnification, a five-parameter intrinsic alignment model, marginalization over a point mass to remove information from small scales and a linear galaxy bias model validated with higher-order terms. We explore the impact of these choices on the tangential shear observable and study the significance of effects not included in our model, such as reduced shear, source magnification, and source clustering. We also test the robustness of our measurements to various observational and systematics effects, such as the impact of observing conditions, lens-source clustering, random-point subtraction, scale-dependent metacalibration responses, point spread function residuals, and B modes.

关键词： Cosmological parameters Dark energy Dark matter Gravitational lenses Large scale structure of the Universe Optical, UV, & IR astronomy

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Security analysis of Rhee et al.’s public encryption with keyword search schemes: A review

Journal of Network Intelligence

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Journal of Network Intelligence 2018年第1期3卷 16-25页

作者： Wu, Tsu-Yang Chen, Chien-Ming Wang, King-Hang Pan, Jeng-Shyang Zheng, Weimin Chu, Shu-Chuan Roddick, John F. Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No33 Xuefunan Road University Town Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology No33 Xuefunan Road University Town Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen HIT Campus of University Town of Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong College of Science and Engineering Flinders University Sturt Rd Bedford Park SA5042 Australia

Public key encryption with keyword search (PEKS) provides an efficient way to search encrypted files. Recently, Rhee et al. contributed their knowledge to propose several literatures in this research area. In this paper, we first review their three famous schemes and then summarize the security weaknesses of the three schemes. Finally, we discuss the security problems about Rhee et al. like scheme and remain an open problem. © 2018, Taiwan Ubiquitous Information. All rights reserved.

关键词： Search engines

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LEADER FORMATION WITH MEAN-FIELD BIRTH AND DEATH MODELS

arXiv

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arXiv 2018年

作者： Albi, Giacomo Bongini, Mattia Rossi, Francesco Solombrino, Francesco Department of Computer Science University of Verona Str. Le Grazie 15 VeronaIT-37134 Italy Big Data and Marketing Analytics CRIF Via M. Fantin 3 BolognaIT-40131 Italy Department of Mathematics "Tullio Levi-Civita" University of Padova Via Trieste 63 PadovaIT-35121 Italy Department of Mathematics and Applications "R. Caccioppoli" University of Naples "Federico II" Via Cintia Monte S. Angelo NaplesIT-80126 Italy

We provide a mean-field description for a leader-follower dynamics with mass transfer among the two populations. This model allows the transition from followers to leaders and vice versa, with scalar-valued transition rates depending nonlinearly on the global state of the system at each time. We first prove the existence and uniqueness of solutions for the leader-follower dynamics, under suitable assumptions. We then establish, for an appropriate choice of the initial datum, the equivalence of the system with a PDE-ODE system, that consists of a continuity equation over the state space and an ODE for the transition from leader to follower or vice versa. We further introduce a stochastic process approximating the PDE, together with a jump process that models the switch between the two populations. Using a propagation of chaos argument, we show that the particle system generated by these two processes converges in probability to a solution of the PDE-ODE system. Finally, several numerical simulations of social interactions dynamics modeled by our system are *** Codes 35Q82, 35Q91, 70F45, 65M08, 82C22, 82B21 Copyright © 2018, The Authors. All rights reserved.

关键词： Markov processes

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Comments on a privacy preserving public auditing mechanism for shared cloud data 17

Comments on a privacy preserving public auditing mechanism f...

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4th Multidisciplinary International Social Networks Conference, MISNC 2017

作者： Wu, Tsu-Yang Lin, Yueshan Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Wu, Mu-En Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou350118 China Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Mathematic Soochow University Taipei Taiwan

ISBN: (纸本)9781450348812

Auditing mechanisms are received much attentions from researchers due to the developing of cloud storage. Recently, Wang et al. proposed a privacy preserving public auditing mechanism for shared cloud data with supporting group dynamic. However, we find some security flaws in their mechanism. In this paper, a forgery attack and a data corruption attack are proposed to demonstrate the insecurity. Then, we propose a modified scheme based on their mechanism. The security analysis is demonstrated that our improvement can resist the mentioned two attacks. © 2017 ACM.

关键词： Cloud storage

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Dark Energy Survey year 3 results: Constraints on cosmological parameters and galaxy-bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample

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Physical Review D 2022年第4期106卷 043520-043520页

作者： S. Pandey E. Krause J. DeRose N. MacCrann B. Jain M. Crocce J. Blazek A. Choi H. Huang C. To X. Fang J. Elvin-Poole J. Prat A. Porredon L. F. Secco M. Rodriguez-Monroy N. Weaverdyck Y. Park M. Raveri E. Rozo E. S. Rykoff G. M. Bernstein C. Sánchez M. Jarvis M. A. Troxel G. Zacharegkas C. Chang A. Alarcon O. Alves A. Amon F. Andrade-Oliveira E. Baxter K. Bechtol M. R. Becker H. Camacho A. Campos A. Carnero Rosell M. Carrasco Kind R. Cawthon R. Chen P. Chintalapati C. Davis E. Di Valentino H. T. Diehl S. Dodelson C. Doux A. Drlica-Wagner K. Eckert T. F. Eifler F. Elsner S. Everett A. Farahi A. Ferté P. Fosalba O. Friedrich M. Gatti G. Giannini D. Gruen R. A. Gruendl I. Harrison W. G. Hartley E. M. Huff D. Huterer A. Kovacs P. F. Leget J. McCullough J. Muir J. Myles A. Navarro-Alsina Y. Omori R. P. Rollins A. Roodman R. Rosenfeld I. Sevilla-Noarbe E. Sheldon T. Shin A. Troja I. Tutusaus T. N. Varga R. H. Wechsler B. Yanny B. Yin Y. Zhang J. Zuntz T. M. C. Abbott M. Aguena S. Allam J. Annis D. Bacon E. Bertin D. Brooks D. L. Burke J. Carretero C. Conselice M. Costanzi L. N. da Costa M. E. S. Pereira J. De Vicente J. P. Dietrich P. Doel A. E. Evrard I. Ferrero B. Flaugher J. Frieman J. García-Bellido E. Gaztanaga D. W. Gerdes T. Giannantonio J. Gschwend G. Gutierrez S. R. Hinton D. L. Hollowood K. Honscheid D. J. James T. Jeltema K. Kuehn N. Kuropatkin O. Lahav M. Lima H. Lin M. A. G. Maia J. L. Marshall P. Melchior F. Menanteau C. J. Miller R. Miquel J. J. Mohr R. Morgan A. Palmese F. Paz-Chinchón D. Petravick A. Pieres A. A. Plazas Malagón E. Sanchez V. Scarpine S. Serrano M. Smith M. Soares-Santos E. Suchyta G. Tarle D. Thomas J. Weller Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Department of Astronomy/Steward Observatory University of Arizona 933 North Cherry Avenue Tucson Arizona 85721-0065 USA Lawrence Berkeley National Laboratory 1 Cyclotron Road Berkeley California 94720 USA Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge CB3 0WA United Kingdom Institut d’Estudis Espacials de Catalunya (IEEC) 08034 Barcelona Spain Institute of Space Sciences (ICE CSIC) Campus UAB Carrer de Can Magrans s/n 08193 Barcelona Spain Department of Physics Northeastern University Boston Massachusetts 02115 USA Laboratory of Astrophysics École Polytechnique Fédérale de Lausanne (EPFL) Observatoire de Sauverny 1290 Versoix Switzerland Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Department of Physics University of Arizona Tucson Arizona 85721 USA Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA Kavli Institute for Particle Astrophysics and Cosmology P.O. Box 2450 Stanford University Stanford California 94305 USA SLAC National Accelerator Laboratory Menlo Park California 94025 USA Department of Physics The Ohio State University Columbus Ohio 43210 USA Department of Astronomy and Astrophysics University of Chicago Chicago Illinois 60637 USA Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT) Madrid Spain Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Kavli Institute for the Physics and Mathematics of the Universe (WPI) UTIAS The University of Tokyo Kashiwa Chiba 277-8583 Japan Department of Physics Duke University Durham North Carolina 27708 USA Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Instituto de Física Teórica Uni

We constrain cosmological parameters and galaxy-bias parameters using the combination of galaxy clustering and galaxy-galaxy lensing measurements from the Dark Energy Survey (DES) year-3 data. We describe our modeling framework and choice of scales analyzed, validating their robustness to theoretical uncertainties in small-scale clustering by analyzing simulated data. Using a linear galaxy-bias model and redMaGiC galaxy sample, we obtain 10% constraints on the matter density of the Universe. We also implement a nonlinear galaxy-bias model to probe smaller scales that includes parametrization based on hybrid perturbation theory and find that it leads to a 17% gain in cosmological constraining power. We perform robustness tests of our methodology pipeline and demonstrate stability of the constraints to changes in the theory model. Using the redMaGiC galaxy sample as foreground lens galaxies and adopting the best-fitting cosmological parameters from DES year-1 data, we find the galaxy clustering and galaxy-galaxy lensing measurements to exhibit significant signals akin to decorrelation between galaxies and mass on large scales, which is not expected in any current models. This likely systematic measurement error biases our constraints on galaxy bias and the S8 parameter. We find that a scale-, redshift- and sky-area-independent phenomenological decorrelation parameter can effectively capture this inconsistency between the galaxy clustering and galaxy-galaxy lensing. We trace the source of this correlation to a color-dependent photometric issue and minimize its impact on our result by changing the selection criteria of redMaGiC galaxies. Using this new sample, our constraints on the S8 parameter are consistent with previous studies and we find a small shift in the Ωm constraints compared to the fiducial redMaGiC sample. We infer the constraints on the mean host-halo mass of the redMaGiC galaxies in this new sample from the large-scale bias constraints, finding the galax

关键词： Cosmological constant Cosmological parameters Dark energy Dark matter Evolution of the Universe General relativity Gravitational lenses Large scale structure of the Universe Optical, UV, & IR astronomy

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DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification

arXiv

引用

arXiv 2021年

作者： Morgan, Robert Nord, B. Bechtol, K. González, S.J. Buckley-Geer, E. Möller, A. Park, J.W. Kim, A.G. Birrer, S. Aguena, M. Annis, J. Bocquet, S. Brooks, D. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Cawthon, R. da Costa, L.N. Davis, T.M. De Vicente, J. Doel, P. Ferrero, I. Friedel, D. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R.A. Gutierrez, G. Hollowood, D.L. Honscheid, K. James, D.J. Kuehn, K. Kuropatkin, N. Maia, M.A.G. Miquel, R. Palmese, A. Paz-Chinchón, F. Pereira, M.E.S. Pieres, A. Plazas Malagón, A.A. Reil, K. Roodman, A. Sanchez, E. Smith, M. Suchyta, E. Swanson, M.E.C. Tarle, G. To, C. Physics Department University of Wisconsin-Madison 1150 University Avenue MadisonWI53706 United States Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Legacy Survey of Space and Time Corporation Data Science Fellowship Program United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Legacy Survey of Space and Time 933 North Cherry Avenue TucsonAZ85721 United States Centre for Astrophysics & Supercomputing Swinburne University of Technology VIC3122 Australia Kavli Institute for Particle Astrophysics and Cosmology Department of Physics Stanford University StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 Munich81679 Germany Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Center for Astrophysical Surveys National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States The Barcelona Institute of Science and Technology Campus UAB Bellaterra Barcelona08193 Spain Physics Department William Jewell College LibertyMO64068 United States Observatório Nacional Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil School of Mathematics and Physics University of Queensland BrisbaneQLD4072 Australia Madrid Spain Institute of Theoretical Astrophysics University of Oslo P.O. Box 1029 Blindern OsloNO-0315 Norway Instituto de Fisica Teorica UAM/CSIC

Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectroscopic follow-up before the supernova fades, an LSN needs to be identified soon after it begins. To quickly identify LSNe in optical survey datasets, we designed ZipperNet, a multi-branch deep neural network that combines convolutional layers (traditionally used for images) with long short-term memory (LSTM) layers (traditionally used for time series). We tested ZipperNet on the task of classifying objects from four categories – no lens, galaxy-galaxy lens, lensed type Ia supernova, lensed core-collapse supernova – within high-fidelity simulations of three cosmic survey data sets – the Dark Energy Survey (DES), Rubin Observatory’s Legacy Survey of Space and Time (LSST), and a Dark Energy Spectroscopic Instrument (DESI) imaging survey. Among our results, we find that for the LSST-like dataset, ZipperNet classifies LSNe with a receiver operating characteristic area under the curve of 0.97, predicts the spectroscopic type of the lensed supernovae with 79% accuracy, and demonstrates similarly high performance for LSNe 1-2 epochs after first detection. We anticipate that a model like ZipperNet, which simultaneously incorporates spatial and temporal information, can play a significant role in the rapid identification of lensed transient systems in cosmic survey experiments. Copyright © 2021, The Authors. All rights reserved.

关键词： Supernovae

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Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing

引用

Physical Review D 2022年第2期105卷 023520-023520页

作者： T. M. C. Abbott M. Aguena A. Alarcon S. Allam O. Alves A. Amon F. Andrade-Oliveira J. Annis S. Avila D. Bacon E. Baxter K. Bechtol M. R. Becker G. M. Bernstein S. Bhargava S. Birrer J. Blazek A. Brandao-Souza S. L. Bridle D. Brooks E. Buckley-Geer D. L. Burke H. Camacho A. Campos A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. Chang A. Chen R. Chen A. Choi C. Conselice J. Cordero M. Costanzi M. Crocce L. N. da Costa M. E. da Silva Pereira C. Davis T. M. Davis J. De Vicente J. DeRose S. Desai E. Di Valentino H. T. Diehl J. P. Dietrich S. Dodelson P. Doel C. Doux A. Drlica-Wagner K. Eckert T. F. Eifler F. Elsner J. Elvin-Poole S. Everett A. E. Evrard X. Fang A. Farahi E. Fernandez I. Ferrero A. Ferté P. Fosalba O. Friedrich J. Frieman J. García-Bellido M. Gatti E. Gaztanaga D. W. Gerdes T. Giannantonio G. Giannini D. Gruen R. A. Gruendl J. Gschwend G. Gutierrez I. Harrison W. G. Hartley K. Herner S. R. Hinton D. L. Hollowood K. Honscheid B. Hoyle E. M. Huff D. Huterer B. Jain D. J. James M. Jarvis N. Jeffrey T. Jeltema A. Kovacs E. Krause R. Kron K. Kuehn N. Kuropatkin O. Lahav P.-F. Leget P. Lemos A. R. Liddle C. Lidman M. Lima H. Lin N. MacCrann M. A. G. Maia J. L. Marshall P. Martini J. McCullough P. Melchior J. Mena-Fernández F. Menanteau R. Miquel J. J. Mohr R. Morgan J. Muir J. Myles S. Nadathur A. Navarro-Alsina R. C. Nichol R. L. C. Ogando Y. Omori A. Palmese S. Pandey Y. Park F. Paz-Chinchón D. Petravick A. Pieres A. A. Plazas Malagón A. Porredon J. Prat M. Raveri M. Rodriguez-Monroy R. P. Rollins A. K. Romer A. Roodman R. Rosenfeld A. J. Ross E. S. Rykoff S. Samuroff C. Sánchez E. Sanchez J. Sanchez D. Sanchez Cid V. Scarpine M. Schubnell D. Scolnic L. F. Secco S. Serrano I. Sevilla-Noarbe E. Sheldon T. Shin M. Smith M. Soares-Santos E. Suchyta M. E. C. Swanson M. Tabbutt G. Tarle D. Thomas C. To A. Troja M. A. Troxel D. L. Tucker I. Tutusaus T. N. Varga A. R. Walker N. Weaverdyck R. Wechsler J. Weller B. Yanny B. Yin Y. Zhang J. Zuntz Cerro Tololo Inter-American Observatory NSF’s National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile Laboratório Interinstitucional de e-Astronomia—LIneA Rua Gal. José Cristino 77 Rio de Janeiro RJ—20921-400 Brazil Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Fermi National Accelerator Laboratory P. O. Box 500 Batavia Illinois 60510 USA Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Instituto de Física Teórica Universidade Estadual Paulista São Paulo 01140-070 Brazil Kavli Institute for Particle Astrophysics and Cosmology P. O. Box 2450 Stanford University Stanford California 94305 USA Instituto de Fisica Teorica UAM/CSIC Universidad Autonoma de Madrid 28049 Madrid Spain Institute of Cosmology and Gravitation University of Portsmouth Portsmouth PO1 3FX United Kingdom Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive Honolulu Hawaii 96822 USA Physics Department 2320 Chamberlin Hall University of Wisconsin-Madison 1150 University Avenue Madison Wisconsin 53706-1390 USA Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Department of Physics and Astronomy Pevensey Building University of Sussex Brighton BN1 9QH United Kingdom Graduate School of Education Stanford University 160 450 Serra Mall Stanford California 94305 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA Laboratory of Astrophysics École Polytechnique Fédérale de Lausanne (EPFL) Observatoire de Sauverny 1290 Versoix Switzerland Instituto de Física Gleb Wataghin Universidade Estadual de Campinas 13083-859 Campinas SP Brazil Jodrell Bank Center for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road Manchester M13 9PL United Kingdom Department of Physics and Astronomy University College London Gower Street London WC1E 6BT United Kingdom Department of Astronomy and Astroph

We present the first cosmology results from large-scale structure using the full 5000 deg2 of imaging data from the Dark Energy Survey (DES) data Release 1. We perform an analysis of large-scale structure combining three two-point correlation functions (3×2pt): (i) cosmic shear using 100 million source galaxies, (ii) galaxy clustering, and (iii) the cross-correlation of source galaxy shear with lens galaxy positions, galaxy–galaxy lensing. To achieve the cosmological precision enabled by these measurements has required updates to nearly every part of the analysis from DES Year 1, including the use of two independent galaxy clustering samples, modeling advances, and several novel improvements in the calibration of gravitational shear and photometric redshift inference. The analysis was performed under strict conditions to mitigate confirmation or observer bias; we describe specific changes made to the lens galaxy sample following unblinding of the results and tests of the robustness of our results to this decision. We model the data within the flat ΛCDM and wCDM cosmological models, marginalizing over 25 nuisance parameters. We find consistent cosmological results between the three two-point correlation functions; their combination yields clustering amplitude S8=0.776−0.017+0.017 and matter density Ωm=0.339−0.031+0.032 in ΛCDM, mean with 68% confidence limits; S8=0.775−0.024+0.026, Ωm=0.352−0.041+0.035, and dark energy equation-of-state parameter w=−0.98−0.20+0.32 in wCDM. These constraints correspond to an improvement in signal-to-noise of the DES Year 3 3×2pt data relative to DES Year 1 by a factor of 2.1, about 20% more than expected from the increase in observing area alone. This combination of DES data is consistent with the prediction of the model favored by the Planck 2018 cosmic microwave background (CMB) primary anisotropy data, which is quantified with a probability-to-exceed p=0.13–0.48. We find better agreement between DES 3×2pt and Planck than in DES Y1

关键词： Cosmological parameters Cosmology Dark energy Dark matter Large scale structure of the Universe

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