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Cosmic shear is one of the most powerful probes of Dark Energy, targeted by several current and future galaxy surveys. Lensing shear, however, is only sampled at the positions of galaxies with measured shapes in the catalog, making its…

Cosmology and Nongalactic Astrophysics · Physics 2021-03-31 Andrina Nicola , Carlos García-García , David Alonso , Jo Dunkley , Pedro G. Ferreira , Anže Slosar , David N. Spergel

Dedicated 'Stage IV' observatories will soon observe the entire extragalactic sky, to measure the 'cosmic shear' distortion of galaxy shapes by weak gravitational lensing. To measure the apparent shapes of those galaxies, we present an…

Cosmology and Nongalactic Astrophysics · Physics 2022-02-08 Xiangchong Li , Yin Li , Richard Massey

In Stage-IV imaging surveys, a significant amount of the cosmologically useful information is due to sources whose images overlap with those of other sources on the sky. The cosmic shear signal is primarily encoded in the estimated shapes…

Cosmology and Nongalactic Astrophysics · Physics 2021-08-04 Javier Sanchez , Ismael Mendoza , David P. Kirkby , Patricia R. Burchat

Cosmic shear tomography has emerged as one of the most promising tools to both investigate the nature of dark energy and discriminate between General Relativity and modified gravity theories. In order to successfully achieve these goals,…

Cosmology and Nongalactic Astrophysics · Physics 2014-03-05 V. F. Cardone , M. Martinelli , E. Calabrese , S. Galli , Z. Huang , R. Maoli , A. Melchiorri , R. Scaramella

We apply the Fourier Power Function Shapelets (FPFS) shear estimator to the first year data of the Hyper Suprime-Cam survey to construct a shape catalog. The FPFS shear estimator has been demonstrated to have multiplicative bias less than…

Cosmology and Nongalactic Astrophysics · Physics 2021-02-19 Xiangchong Li , Masamune Oguri , Nobuhiko Katayama , Wentao Luo , Wenting Wang , Jiaxin Han , Hironao Miyatake , Keigo Nakamura , Surhud More

Recent works have shown that deep neural networks can achieve super-human performance in a wide range of image classification tasks in the medical imaging domain. However, these works have primarily focused on classification accuracy,…

Computer Vision and Pattern Recognition · Computer Science 2020-09-10 Gongbo Liang , Yu Zhang , Xiaoqin Wang , Nathan Jacobs

Just like weights, bias terms are the learnable parameters of many popular machine learning models, including neural networks. Biases are thought to enhance the representational power of neural networks, enabling them to solve a variety of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Chuqin Geng , Xiaojie Xu , Haolin Ye , Xujie Si

Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. We present an end-to-end approach that introduces sources of bias in a modelled weak lensing survey on a galaxy-by-galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2020-03-25 Euclid Collaboration , P. Paykari , T. D. Kitching , H. Hoekstra , R. Azzollini , V. F. Cardone , M. Cropper , C. A. J. Duncan , A. Kannawadi , L. Miller , H. Aussel , I. F. Conti , N. Auricchio , M. Baldi , S. Bardelli , A. Biviano , D. Bonino , E. Borsato , E. Bozzo , E. Branchini , S. Brau-Nogue , M. Brescia , J. Brinchmann , C. Burigana , S. Camera , V. Capobianco , C. Carbone , J. Carretero , F. J. Castander , M. Castellano , S. Cavuoti , Y. Charles , R. Cledassou , C. Colodro-Conde , G. Congedo , C. Conselice , L. Conversi , Y. Copin , J. Coupon , H. M. Courtois , A. Da Silva , X. Dupac , G. Fabbian , S. Farrens , P. G. Ferreira , P. Fosalba , N. Fourmanoit , M. Frailis , M. Fumana , S. Galeotta , B. Garilli , W. Gillard , B. R. Gillis , C. Giocoli , J. Gracia-Carpio , F. Grupp , F. Hormuth , S. Ilic , H. Israel , K. Jahnke , E. Keihanen , S. Kermiche , M. Kilbinger , C. C. Kirkpatrick , B. Kubik , M. Kunz , H. Kurki-Suonio , F. Lacasa , R. Laureijs , D. Le Mignant , S. Ligori , P. B. Lilje , I. Lloro , T. Maciaszek , E. Maiorano , O. Marggraf , M. Martinelli , N. Martinet , F. Marulli R. Massey , N. Mauri , E. Medinaceli , S. Mei , Y. Mellier , M. Meneghetti , R. B. Metcalf , M. Moresco , L. Moscardini , E. Munari , C. Neissner , R. C. Nichol , S. Niemi , T. Nutma , C. Padilla , S. Paltani , F. Pasian , V. Pettorino , S. Pires , G. Polenta , A. Pourtsidou , F. Raison , A. Renzi , J. Rhodes , E. Romelli , M. Roncarelli , E. Rossetti , R. Saglia , A. G. Sánchez , D. Sapone , R. Scaramella , P. Schneider , T. Schrabback , V. Scottez , A. Secroun , S. Serrano , C. Sirignano , G. Sirri , L. Stanco , J. -L. Starck , F. Sureau , P. Tallada-Crespí , A. Taylor , M. Tenti , I. Tereno , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , L. Valenziano , M. Vannier , T. Vassallo , J. Zoubian , E. Zucca

Galaxy color gradients - i.e., spectral energy distributions that vary across the galaxy profile - will impact galaxy shape measurements when the modeled point spread function (PSF) corresponds to that for a galaxy with spatially uniform…

Cosmology and Nongalactic Astrophysics · Physics 2019-07-11 Sowmya Kamath , Joshua E. Meyers , Patricia R. Burchat

(Abridged) Weak gravitational lensing induces distortions on the images of background galaxies, and thus provides a direct measure of mass fluctuations in the universe. Since the distortions induced by lensing on the images of background…

Astrophysics · Physics 2009-10-31 David Bacon , Alexandre Refregier , Douglas Clowe , Richard Ellis

Scan line levelling, a ubiquitous and often necessary step in AFM data processing, can cause a severe bias on measured roughness parameters such as mean square roughness or correlation length. Although bias estimates have been formulated,…

Data Analysis, Statistics and Probability · Physics 2024-06-06 David Nečas

We study the possibility of using quadrupole moments of auto-convolved galaxy images to measure cosmic shear. The autoconvolution of an image corresponds to the inverse Fourier transformation of its power spectrum. The new method has the…

Cosmology and Nongalactic Astrophysics · Physics 2016-10-26 Xiangchong Li , Jun Zhang

We seek to understand the impact on shape estimators obtained from circular and elliptical shapelet models under two realistic conditions: (a) only a limited number of shapelet modes is available for the model, and (b) the intrinsic…

Instrumentation and Methods for Astrophysics · Physics 2014-07-24 P. Melchior , A. Boehnert , M. Lombardi , M. Bartelmann

Given the basic parameters of a cosmic shear weak lensing survey, how well can systematic errors due to anisotropy in the point spread function (PSF) be corrected? The largest source of error in this correction to date has been the…

Astrophysics · Physics 2009-11-13 Bhuvnesh Jain , Mike Jarvis , Gary Bernstein

Gravitational lensing of background galaxies by intervening matter is a powerful probe of the cosmological model. In the era of Stage IV surveys, contamination from galaxies below the detection threshold has emerged as a significant source…

Cosmology and Nongalactic Astrophysics · Physics 2025-12-02 Lisa M Voigt

A long standing problem in weak lensing is about how to construct cosmic shear estimators from galaxy images. Conventional methods average over a single quantity per galaxy to estimate each shear component. We show that any such shear…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-18 Jun Zhang , Eiichiro Komatsu

Highly precise weak lensing shear measurement is required for statistical weak gravitational lensing analysis such as cosmic shear measurement to achieve severe constrain on the cosmological parameters. For this purpose any systematic error…

Cosmology and Nongalactic Astrophysics · Physics 2017-06-14 Yuki Okura , Toshifumi Futamase

The principles of measuring the shapes of galaxies by a model-fitting approach are discussed in the context of shape-measurement for surveys of weak gravitational lensing. It is argued that such an approach should be optimal, allowing…

Astrophysics · Physics 2009-11-13 L. Miller , T. D. Kitching , C. Heymans , A. F. Heavens , L. Van Waerbeke

We investigate the importance of lensing magnification for estimates of galaxy clustering and its cross-correlation with shear for the photometric sample of Euclid. Using updated specifications, we study the impact of lensing magnification…

Cosmology and Nongalactic Astrophysics · Physics 2022-07-01 F. Lepori , I. Tutusaus , C. Viglione , C. Bonvin , S. Camera , F. J. Castander , R. Durrer , P. Fosalba , G. Jelic-Cizmek , M. Kunz , J. Adamek , S. Casas , M. Martinelli , Z. Sakr , D. Sapone , A. Amara , N. Auricchio , C. Bodendorf , D. Bonino , E. Branchini , M. Brescia , J. Brinchmann , V. Capobianco , C. Carbone , J. Carretero , M. Castellano , S. Cavuoti , A. Cimatti , R. Cledassou , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , F. Courbin , A. Da Silva , H. Degaudenzi , M. Douspis , F. Dubath , X. Dupac , S. Dusini , A. Ealet , S. Farrens , S. Ferriol , E. Franceschi , M. Fumana , B. Garilli , W. Gillard , B. Gillis , C. Giocoli , A. Grazian , F. Grupp , L. Guzzo , S. V. H. Haugan , W. Holmes , F. Hormuth , P. Hudelot , K. Jahnke , S. Kermiche , A. Kiessling , M. Kilbinger , T. Kitching , M. Kümmel , H. Kurki-Suonio , S. Ligori , P. B. Lilje , I. Lloro , O. Mansutti , O. Marggraf , K. Markovic , F. Marulli , R. Massey , S. Maurogordato , M. Melchior , M. Meneghetti , E. Merlin , G. Meylan , M. Moresco , L. Moscardini , E. Munari , R. Nakajima , S. M. Niemi , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , W. J. Percival , V. Pettorino , S. Pires , M. Poncet , L. Popa , L. Pozzetti , F. Raison , J. Rhodes , M. Roncarelli , E. Rossetti , R. Saglia , P. Schneider , A. Secroun , G. Seidel , S. Serrano , C. Sirignano , G. Sirri , L. Stanco , J. -L. Starck , P. Tallada-Crespí , A. N. Taylor , I. Tereno , R. Toledo-Moreo , F. Torradeflot , E. A. Valentijn , L. Valenziano , Y. Wang , J. Weller , G. Zamorani , J. Zoubian , S. Andreon , S. Bardelli , G. Fabbian , J. Graciá-Carpio , D. Maino , E. Medinaceli , S. Mei , A. Renzi , E. Romelli , F. Sureau , T. Vassallo , A. Zacchei , E. Zucca , C. Baccigalupi , A. Balaguera-Antolínez , F. Bernardeau , A. Biviano , A. Blanchard , M. Bolzonella , S. Borgani , E. Bozzo , C. Burigana , R. Cabanac , A. Cappi , C. S. Carvalho , G. Castignani , C. Colodro-Conde , J. Coupon , H. M. Courtois , J. -G. Cuby , S. Davini , S. de la Torre , D. Di Ferdinando , M. Farina , P. G. Ferreira , F. Finelli , S. Galeotta , K. Ganga , J. Garcia-Bellido , E. Gaztanaga , G. Gozaliasl , I. M. Hook , S. Ilić , B. Joachimi , V. Kansal , E. Keihanen , C. C. Kirkpatrick , V. Lindholm , G. Mainetti , R. Maoli , N. Martinet , M. Maturi , R. B. Metcalf , P. Monaco , G. Morgante , J. Nightingale , A. Nucita , L. Patrizii , V. Popa , D. Potter , G. Riccio , A. G Sánchez , M. Schirmer , M. Schultheis , V. Scottez , E. Sefusatti , A. Tramacere , J. Valiviita , M. Viel , H. Hildebrandt

Cosmic shear is a powerful probe of cosmological parameters, but its potential can be fully utilised only if galaxy shapes are measured with great accuracy. Two major effects have been identified which are likely to account for most of the…

Cosmology and Nongalactic Astrophysics · Physics 2017-03-08 Tomasz Kacprzak , Sarah Bridle , Barnaby Rowe , Lisa Voigt , Joe Zuntz , Michael Hirsch , Niall MacCrann
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