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The scattering transform is a wavelet-based statistic capable of capturing non-Gaussian features in weak lensing (WL) convergence maps and has been proven to tighten cosmological parameter constraints by accessing information beyond…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-14 Mariia Marinichenko , Marcel P. van Daalen , Elena Sellentin , Jeger C. Broxterman , Matthieu Schaller , Joop Schaye

Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, the recovery of dark matter maps constitutes a challenging…

Cosmology and Nongalactic Astrophysics · Physics 2023-04-05 Benjamin Remy , Francois Lanusse , Niall Jeffrey , Jia Liu , Jean-Luc Starck , Ken Osato , Tim Schrabback

Weak gravitational lensing is one of the most promising tools to investigate the equation-of-state of dark energy. In order to obtain reliable parameter estimations for current and future experiments, a good theoretical understanding of…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-07 J. Pielorz , J. Rödiger , I. Tereno , P. Schneider

One of the most pernicious theoretical systematics facing upcoming gravitational lensing surveys is the uncertainty introduced by the effects of baryons on the power spectrum of the convergence field. One method that has been proposed to…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-12 Andrew R. Zentner , Elisabetta Semboloni , Scott Dodelson , Tim Eifler , Elisabeth Krause , Andrew P. Hearin

Gaussian process is a theoretically appealing model for nonparametric analysis, but its computational cumbersomeness hinders its use in large scale and the existing reduced-rank solutions are usually heuristic. In this work, we propose a…

Machine Learning · Statistics 2015-11-25 Leo L. Duan , Xia Wang , Rhonda D. Szczesniak

Unnormalized (or energy-based) models provide a flexible framework for capturing the characteristics of data with complex dependency structures. However, the application of standard Bayesian inference methods has been severely limited…

Methodology · Statistics 2026-03-11 Naruki Sonobe , Shonosuke Sugasawa , Daichi Mochihashi , Takeru Matsuda

We present a framework to compute non-Gaussian likelihoods for two-point correlation functions. The non-Gaussianity is most pronounced on large scales that will be well-measured by stage-IV weak-lensing surveys. We show how such a…

Cosmology and Nongalactic Astrophysics · Physics 2026-04-09 Veronika Oehl , Tilman Tröster

Weak lensing galaxy surveys are currently undergoing a dramatic revolution as the dawn of the Stage-IV surveys are upon us. Hence, ensuring that our analysis methods are as accurate and precise as the raw data is of upmost importance. This…

Cosmology and Nongalactic Astrophysics · Physics 2025-03-24 Alessandro Maraio

We investigate whether a Gaussian likelihood is sufficient to obtain accurate parameter constraints from a Euclid-like combined tomographic power spectrum analysis of weak lensing, galaxy clustering and their cross-correlation. Testing its…

Cosmology and Nongalactic Astrophysics · Physics 2021-03-03 Robin E. Upham , Michael L. Brown , Lee Whittaker

We study the impact of baryonic physics on cosmological parameter estimation with weak lensing surveys. We run a set of cosmological hydrodynamics simulations with different galaxy formation models. We then perform ray-tracing simulations…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-29 Ken Osato , Masato Shirasaki , Naoki Yoshida

We revise the Bayesian inference steps required to analyse the cosmological large-scale structure. Here we make special emphasis in the complications which arise due to the non-Gaussian character of the galaxy and matter distribution. In…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 Francisco-Shu Kitaura

Peak counts have been shown to be an excellent tool to extract the non-Gaussian part of the weak lensing signal. Recently, we developped a fast stochastic forward model to predict weak-lensing peak counts. Our model is able to reconstruct…

Cosmology and Nongalactic Astrophysics · Physics 2015-11-16 Chieh-An Lin , Martin Kilbinger

The gravitational lensing signal from the Cosmic Microwave Background is highly valuable to constrain the growth of the structures in the Universe in a clean and robust manner over a wide range of redshifts. One of the theoretical…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-02 Omar Darwish , Sebastian Belkner , Louis Legrand , Julien Carron , Giulio Fabbian

In this paper, we propose a new method of Bayesian measurement for spectral deconvolution, which regresses spectral data into the sum of unimodal basis function such as Gaussian or Lorentzian functions. Bayesian measurement is a framework…

Signal Processing · Electrical Eng. & Systems 2019-05-01 Kenji Nagata , Yoh-ichi Mototake , Rei Muraoka , Takehiko Sasaki , Masato Okada

We use the small scales of the Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from the DES Year-3 cosmological analysis, to constrain the baryonic feedback. To model the baryonic feedback, we adopt a baryonic…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-16 A. Chen , G. Aricò , D. Huterer , R. Angulo , N. Weaverdyck , O. Friedrich , L. F. Secco , C. Hernández-Monteagudo , A. Alarcon , O. Alves , A. Amon , F. Andrade-Oliveira , E. Baxter , K. Bechtol , M. R. Becker , G. M. Bernstein , J. Blazek , A. Brandao-Souza , S. L. Bridle , H. Camacho , A. Campos , A. Carnero Rosell , M. Carrasco Kind , R. Cawthon , C. Chang , R. Chen , P. Chintalapati , A. Choi , J. Cordero , M. Crocce , M. E. S. Pereira , C. Davis , J. DeRose , E. Di Valentino , H. T. Diehl , S. Dodelson , C. Doux , A. Drlica-Wagner , K. Eckert , T. F. Eifler , F. Elsner , J. Elvin-Poole , S. Everett , X. Fang , A. Ferté , P. Fosalba , M. Gatti , E. Gaztanaga , G. Giannini , D. Gruen , R. A. Gruendl , I. Harrison , W. G. Hartley , K. Herner , K. Hoffmann , H. Huang , E. M. Huff , B. Jain , M. Jarvis , N. Jeffrey , T. Kacprzak , E. Krause , N. Kuropatkin , P. -F. Leget , P. Lemos , A. R. Liddle , N. MacCrann , J. McCullough , J. Muir , J. Myles , A. Navarro-Alsina , Y. Omori , S. Pandey , Y. Park , A. Porredon , J. Prat , M. Raveri , A. Refregier , R. P. Rollins , A. Roodman , R. Rosenfeld , A. J. Ross , E. S. Rykoff , S. Samuroff , C. Sánchez , J. Sanchez , I. Sevilla-Noarbe , E. Sheldon , T. Shin , A. Troja , M. A. Troxel , I. Tutusaus , T. N. Varga , R. H. Wechsler , B. Yanny , B. Yin , Y. Zhang , J. Zuntz , M. Aguena , J. Annis , D. Bacon , E. Bertin , S. Bocquet , D. Brooks , D. L. Burke , J. Carretero , C. Conselice , M. Costanzi , L. N. da Costa , J. De Vicente , S. Desai , P. Doel , I. Ferrero , B. Flaugher , J. Frieman , J. García-Bellido , D. W. Gerdes , T. Giannantonio , J. Gschwend , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , K. Kuehn , O. Lahav , M. March , J. L. Marshall , P. Melchior , F. Menanteau , R. Miquel , J. J. Mohr , R. Morgan , F. Paz-Chinchón , A. Pieres , E. Sanchez , M. Smith , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , C. To

An accurate modelling of baryonic feedback effects is required to exploit the full potential of future weak-lensing surveys such as Euclid or LSST. In this second paper in a series of two, we combine Euclid-like mock data of the cosmic…

We have detected non-Gaussian signatures in the VIRMOS-DESCART weak lensing survey from a measurement of the three-point shear correlation function, following the method developed by Bernardeau et al. (2002). We obtain a 2.4-sigma signal…

Astrophysics · Physics 2009-11-07 F. Bernardeau , Y. Mellier , L. van Waerbeke

Baryonic feedback is a leading contaminant in studying dark matter and cosmology using cosmic shear. This has meant omitting much of the data during cosmological inference, or forward-modeling the spatial distribution of gas around dark…

Cosmology and Nongalactic Astrophysics · Physics 2025-09-25 Calvin Leung , Josh Borrow , Kiyoshi W. Masui , Shion Andrew , Kai-Feng Chen , Joop Schaye , Matthieu Schaller

We propose methodology for statistical inference for low-dimensional parameters of sparse precision matrices in a high-dimensional setting. Our method leads to a non-sparse estimator of the precision matrix whose entries have a Gaussian…

Statistics Theory · Mathematics 2015-08-13 Jana Jankova , Sara van de Geer