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We investigate the cosmological constraining power of combined weak galaxy lensing and galaxy clustering probes, i.e. $3\times2$-point analyses, assuming flexible models for redshift uncertainty, and Lagrangian perturbation theory and…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-12 Joseph DeRose , Noah Weaverdyck , Martin White , Shi-Fan Chen , David Schlegel , Anže Slosar

We test whether we can predict optical spectra from deep-field photometry of distant galaxies. Our goal is to perform a comparison in data space, highlighting the differences between predicted and observed spectra. The Large Early Galaxy…

We study the clustering of galaxies detected at $i<22.5$ in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured using $2.3\times 10^6$ galaxies over a contiguous 116 deg$^2$…

Large deviation statistics is implemented to predict the statistics of cosmic densities in cylinders applicable to photometric surveys. It yields few percent accurate analytical predictions for the one-point probability distribution…

Cosmology and Nongalactic Astrophysics · Physics 2018-03-28 Cora Uhlemann , Christophe Pichon , Sandrine Codis , Benjamin L'Huillier , Juhan Kim , Francis Bernardeau , Changbom Park , Simon Prunet

Number counts of galaxy clusters across redshift are a powerful cosmological probe, if a precise and accurate reconstruction of the underlying mass distribution is performed -- a challenge called mass calibration. With the advent of wide…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-17 S. Grandis , V. Ghirardini , S. Bocquet , C. Garrel , J. J. Mohr , A. Liu , M. Kluge , L. Kimmig , T. H. Reiprich , A. Alarcon , A. Amon , E. Artis , Y. E. Bahar , F. Balzer , K. Bechtol , M. R. Becker , G. Bernstein , E. Bulbul , A. Campos , A. Carnero Rosell , M. Carrasco Kind , R. Cawthon , C. Chang , R. Chen , I. Chiu , A. Choi , N. Clerc , J. Comparat , J. Cordero , C. Davis , J. Derose , H. T. Diehl , S. Dodelson , C. Doux , A. Drlica-Wagner , K. Eckert , J. Elvin-Poole , S. Everett , A. Ferte , M. Gatt , G. Giannini , P. Giles , D. Gruen , R. A. Gruendl , I. Harrison , W. G. Hartley , K. Herner , E. M. Huf , F. Kleinebreil , N. Kuropatkin , P. F. Leget , N. Maccrann , J. Mccullough , A. Merloni , J. Myles , K. Nandra , A. Navarro-Alsina , N. Okabe , F. Pacaud , S. Pandey , J. Prat , P. Predehl , M. Ramos , M. Raveri , R. P. Rollins , A. Roodman , A. J. Ross , E. S. Rykoff , C. Sanchez , J. Sanders , T. Schrabback , L. F. Secco , R. Seppi , I. Sevilla-Noarbe , E. Sheldon , T. Shin , M. Troxel , I. Tutusaus , T. N. Varga , H. Wu , B. Yanny , B. Yin , X. Zhang , Y. Zhang , O. Alves , S. Bhargava , D. Brooks , D. L. Burke , J. Carretero , M. Costanzi , L. N. da Costa , M. E. S. Pereira , J. De Vicente , S. Desai , P. Doel , I. Ferrero , B. Flaugher , D. Friedel , J. Frieman , J. García-Bellido , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , N. Jeffrey , O. Lahav , S. Lee , J. L. Marshall , F. Menanteau , R. L. C. Ogando , A. Pieres , A. A. Plazas Malagón , A. K. Romer , E. Sanchez , M. Schubnell , M. Smith , E. Suchyta , M. E. C. Swanson , G. Tarle , N. Weaverdyck , J. Weller

Strong lensing has developed into an important astrophysical tool for probing both cosmology and galaxies (their structures, formations, and evolutions). Now several hundreds of strong lens systems produced by massive galaxies have been…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 Shuo Cao , Zong-Hong Zhu

{We study biasing as a physical phenomenon by analysing geometrical and clustering properties of density fields of matter and galaxies.} {Our goal is to determine the bias function using a combination of geometrical and power spectrum…

Cosmology and Nongalactic Astrophysics · Physics 2019-09-25 J. Einasto , L. J. Liivamägi , I. Suhhonenko , M. Einasto

The Red-Sequence Cluster Survey (RCS) is a 100 deg^2 galaxy cluster survey designed to provide a large sample of optically selected clusters of galaxies with redshifts 0.1<z<1.4. The survey data are also useful for a variety of lensing…

Astrophysics · Physics 2007-05-23 Henk Hoekstra , H. K. C. Yee , Michael D. Gladders

We present a new non-parametric method for determining mean 3D density and mass profiles from weak lensing measurements around stacked samples of galaxies or clusters, that is, from measurement of the galaxy-shear or cluster-shear…

We infer the connection between the stellar mass of galaxies from the Subaru Hyper Suprime-Cam (HSC) survey, and their dark matter halo masses and its evolution in two bins of redshifts between $[0.3, 0.8]$. We use the measurements of the…

Astrophysics of Galaxies · Physics 2023-07-11 Navin Chaurasiya , Surhud More , Shogo Ishikawa , Shogo Masaki , Daichi Kashino , Teppei Okumura

Determining the redshift distribution $n(z)$ of galaxy samples is essential for several cosmological probes including weak lensing. For imaging surveys, this is usually done using photometric redshifts estimated on an object-by-object…

Cosmology and Nongalactic Astrophysics · Physics 2017-08-31 Jörg Herbel , Tomasz Kacprzak , Adam Amara , Alexandre Refregier , Claudio Bruderer , Andrina Nicola

We measure the correspondence between the distribution of galaxies and matter around troughs and peaks in the projected galaxy density, by comparing \texttt{redMaGiC} galaxies ($0.15<z<0.65$) to weak lensing mass maps from the Dark Energy…

Weak gravitational lensing surveys are rapidly becoming important tools to probe directly the mass density fluctuations in the universe and its background dynamics. Earlier studies have shown that it is possible to model the statistics of…

Astrophysics · Physics 2009-11-07 Patrick Valageas , Andrew J. Barber , Dipak Munshi

We constrain cosmological and galaxy-bias parameters using the combination of galaxy clustering and galaxy-galaxy lensing measurements from the Dark Energy Survey Year-3 data. We describe our modeling framework, and choice of scales…

Cosmology and Nongalactic Astrophysics · Physics 2022-09-27 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 , 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

Handling big data has largely been a major bottleneck in traditional statistical models. Consequently, when accurate point prediction is the primary target, machine learning models are often preferred over their statistical counterparts for…

Methodology · Statistics 2021-04-02 Arindam Fadikar , Stefan M. Wild , Jonas Chaves-Montero

Galaxies are biased tracers of the matter density on cosmological scales. For future tests of galaxy models, we refine and assess a method to measure galaxy biasing as function of physical scale $k$ with weak gravitational lensing. This…

Cosmology and Nongalactic Astrophysics · Physics 2019-07-24 Patrick Simon , Stefan Hilbert

Galaxy-scale strong lenses in galaxy clusters provide a unique tool to investigate their inner mass distribution and the sub-halo density profiles in the low-mass regime, which can be compared with the predictions from cosmological…

Cosmology and Nongalactic Astrophysics · Physics 2023-08-09 G. Angora , P. Rosati , M. Meneghetti , M. Brescia , A. Mercurio , C. Grillo , P. Bergamini , A. Acebron , G. Caminha , M. Nonino , L. Tortorelli , L. Bazzanini , E. Vanzella

Future weak lensing surveys will directly probe the clustering of dark matter, in addition to providing a test for various cosmological models. Recent studies have provided us with the tools which can be used to construct the complete…

Astrophysics · Physics 2009-11-07 Dipak Munshi , Yun Wang

Environmental statistics provide a necessary means of comparing the properties of galaxies in different environments and a vital test of models of galaxy formation within the prevailing, hierarchical cosmological model. We explore…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Heather D. Berrier , Elizabeth J. Barton , Joel C. Berrier , James S. Bullock , Andrew R. Zentner , Risa H. Wechsler

We simultaneously constrain cosmology and galaxy bias using measurements of galaxy abundances, galaxy clustering and galaxy-galaxy lensing taken from the Sloan Digital Sky Survey. We use the conditional luminosity function (which describes…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-05 Marcello Cacciato , Frank C. van den Bosch , Surhud More , Houjun Mo , Xiaohu Yang