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Related papers: Cosmology from HSC Y1 Weak Lensing with Combined H…

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We combine measurements of weak gravitational lensing from the CFHTLS-Wide survey, supernovae Ia from CFHT SNLS and CMB anisotropies from WMAP5 to obtain joint constraints on cosmological parameters, in particular, the dark energy equation…

We present cosmological constraints from 8 strongly lensed quasars (hereafter, the TDCOSMO-2025 sample). Building on previous work, our analysis incorporated new deflector stellar velocity dispersions measured from spectra obtained with the…

We perform a reanalysis of the BOSS CMASS DR12 galaxy dataset using a simulation-based emulator for the Wavelet Scattering Transform (WST) coefficients. Moving beyond our previous works, which laid the foundation for the first galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2025-05-16 Georgios Valogiannis , Sihan Yuan , Cora Dvorkin

We present the first application of marked angular power spectra to weak lensing data, using maps from the Subaru Hyper Suprime-Cam Year 1 (HSC-Y1) survey. Marked convergence fields, constructed by weighting the convergence field with…

We forecast constraints on the amplitude of matter clustering sigma_8(z) achievable with the combination of cluster weak lensing and number counts, in current and next-generation weak lensing surveys. We advocate an approach, analogous to…

Cosmology and Nongalactic Astrophysics · Physics 2021-03-29 Hao-Yi Wu , David H. Weinberg , Andrés N. Salcedo , Benjamin D. Wibking

We compare the efficiency of weak lensing-selected galaxy clusters counts and of the weak lensing bispectrum at capturing non-Gaussian features in the dark matter distribution. We use the halo model to compute the weak lensing power…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Joel Berge , Adam Amara , Alexandre Refregier

Gravitational lensing by massive galaxy clusters distorts the observed cosmic microwave background (CMB) on arcminute scales, and these distortions carry information about cluster masses. Standard approaches to extracting cluster mass…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-18 Eric J. Baxter , Shivam Pandey

The abundance of clusters and the clustering of galaxies are two of the important cosmological probes for current and future large scale surveys of galaxies, such as the Dark Energy Survey. In order to combine them one has to account for…

Cosmology and Nongalactic Astrophysics · Physics 2016-08-17 Fabien Lacasa , Rogerio Rosenfeld

The 21cm emission of neutral hydrogen is a potential probe of the matter distribution in the Universe after reionisation. Cosmological surveys of this line intensity will be conducted in the coming years by the SKAO and HIRAX experiments,…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-16 Dionysios Karagiannis , Roy Maartens , Liantsoa Randrianjanahary

Residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observations. Here we combine convergence maps from our suite of…

Cosmology and Nongalactic Astrophysics · Physics 2015-01-06 Andrea Petri , Morgan May , Zoltan Haiman , Jan M. Kratochvil

We present a joint analysis of galaxy clustering and galaxy--galaxy lensing measurements from BOSS galaxies using a simulation-based emulation method combined with a halo occupation distribution model. Our emulators are constructed with the…

Cosmology and Nongalactic Astrophysics · Physics 2026-01-21 Wenhao Gao , Zhenjie Liu , Zhongxu Zhai , Jeremy L. Tinker , Jun Zhang , Arka Banerjee , Joseph DeRose , Hong Guo , Yao-Yuan Mao , Kate Storey-Fisher , Risa H. Wechsler

We describe our nonlinear emulation (i.e., interpolation) framework that combines the halo occupation distribution (HOD) galaxy bias model with $N$-body simulations of nonlinear structure formation, designed to accurately predict the…

The recently discovered discrepancy between galaxy mass measurements from weak lensing and predictions from abundance matching questions our understanding of cosmology, or of the galaxy-halo connection, or of both. We re-examined this…

Cosmology and Nongalactic Astrophysics · Physics 2019-06-05 Jacob Svensmark , Davide Martizzi , Adriano Agnello

We propose to use a simple observable, the fractional area of "hot spots" in weak lensing mass maps which are detected with high significance, to determine background cosmological parameters. Because these high-shear regions are directly…

Astrophysics · Physics 2008-09-24 Sheng Wang , Zoltan Haiman , Morgan May , John Kehayias

We constrain cosmological parameters from a joint cosmic shear analysis of peak-counts and the two-point shear correlation functions, as measured from the Dark Energy Survey (DES-Y1). We find the structure growth parameter $S_8\equiv…

Cosmology and Nongalactic Astrophysics · Physics 2021-07-14 Joachim Harnois-Déraps , Nicolas Martinet , Tiago Castro , Klaus Dolag , Benjamin Giblin , Catherine Heymans , Hendrik Hildebrandt , Qianli Xia

We present cosmological constraints from the abundance of galaxy clusters selected via the thermal Sunyaev-Zel'dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing data…

Cosmology and Nongalactic Astrophysics · Physics 2024-06-24 S. Bocquet , S. Grandis , L. E. Bleem , M. Klein , J. J. Mohr , T. Schrabback , T. M. C. Abbott , P. A. R. Ade , M. Aguena , A. Alarcon , S. Allam , S. W. Allen , O. Alves , A. Amon , A. J. Anderson , J. Annis , B. Ansarinejad , J. E. Austermann , S. Avila , D. Bacon , M. Bayliss , J. A. Beall , K. Bechtol , M. R. Becker , A. N. Bender , B. A. Benson , G. M. Bernstein , S. Bhargava , F. Bianchini , M. Brodwin , D. Brooks , L. Bryant , A. Campos , R. E. A. Canning , J. E. Carlstrom , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , R. Cawthon , C. L. Chang , C. Chang , P. Chaubal , R. Chen , H. C. Chiang , A. Choi , T-L. Chou , R. Citron , C. Corbett Moran , J. Cordero , M. Costanzi , T. M. Crawford , A. T. Crites , L. N. da Costa , M. E. S. Pereira , C. Davis , T. M. Davis , J. DeRose , S. Desai , T. de Haan , H. T. Diehl , M. A. Dobbs , S. Dodelson , C. Doux , A. Drlica-Wagner , K. Eckert , J. Elvin-Poole , S. Everett , W. Everett , I. Ferrero , A. Ferté , A. M. Flores , J. Frieman , J. Gallicchio , J. García-Bellido , M. Gatti , E. M. George , G. Giannini , M. D. Gladders , D. Gruen , R. A. Gruendl , N. Gupta , G. Gutierrez , N. W. Halverson , I. Harrison , W. G. Hartley , K. Herner , S. R. Hinton , G. P. Holder , D. L. Hollowood , W. L. Holzapfel , K. Honscheid , J. D. Hrubes , N. Huang , J. Hubmayr , E. M. Huff , D. Huterer , K. D. Irwin , D. J. James , M. Jarvis , G. Khullar , K. Kim , L. Knox , R. Kraft , E. Krause , K. Kuehn , N. Kuropatkin , F. Kéruzoré , O. Lahav , A. T. Lee , P. -F. Leget , D. Li , H. Lin , A. Lowitz , N. MacCrann , G. Mahler , A. Mantz , J. L. Marshall , J. McCullough , M. McDonald , J. J. McMahon , J. Mena-Fernández , F. Menanteau , S. S. Meyer , R. Miquel , J. Montgomery , J. Myles , T. Natoli , A. Navarro-Alsina , J. P. Nibarger , G. I. Noble , V. Novosad , R. L. C. Ogando , Y. Omori , S. Padin , S. Pandey , P. Paschos , S. Patil , A. Pieres , A. A. Plazas Malagón , A. Porredon , J. Prat , C. Pryke , M. Raveri , C. L. Reichardt , J. Roberson , R. P. Rollins , C. Romero , A. Roodman , J. E. Ruhl , E. S. Rykoff , B. R. Saliwanchik , L. Salvati , C. Sánchez , E. Sanchez , D. Sanchez Cid , A. Saro , K. K. Schaffer , L. F. Secco , I. Sevilla-Noarbe , K. Sharon , E. Sheldon , T. Shin , C. Sievers , G. Smecher , M. Smith , T. Somboonpanyakul , M. Sommer , B. Stalder , A. A. Stark , J. Stephen , V. Strazzullo , E. Suchyta , G. Tarle , C. To , M. A. Troxel , C. Tucker , I. Tutusaus , T. N. Varga , T. Veach , J. D. Vieira , A. Vikhlinin , A. von der Linden , G. Wang , N. Weaverdyck , J. Weller , N. Whitehorn , W. L. K. Wu , B. Yanny , V. Yefremenko , B. Yin , M. Young , J. A. Zebrowski , Y. Zhang , H. Zohren , J. Zuntz

Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the first simulation-based inference (SBI) pipeline that combines…

We investigate how observations of strong lensing can be used to infer cosmological parameters, in particular the equation of state of dark energy. We focus on the growth of the critical lines of lensing clusters with the source redshift as…

Cosmology and Nongalactic Astrophysics · Physics 2012-04-03 Britta Zieser , Matthias Bartelmann

In this paper, we study the cosmological implications of the 100 square degree Weak Lensing survey (the CFHTLS-Wide, RCS, VIRMOS-DESCART and GaBoDS surveys). We combine these weak lensing data with the cosmic microwave background (CMB)…

Astrophysics · Physics 2010-05-07 Hong Li , Jie Liu , Jun-Qing Xia , Lei Sun , Zu-Hui Fan , Charling Tao , Andre Tilquin , Xinmin Zhang

We forecast astrophysical and cosmological parameter constraints from synergies between 21 cm intensity mapping and wide field optical galaxy surveys (both spectroscopic and photometric) over $z \sim 0-3$. We focus on the following survey…

Cosmology and Nongalactic Astrophysics · Physics 2020-05-27 Hamsa Padmanabhan , Alexandre Refregier , Adam Amara