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We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years (known as Y3) of the Dark Energy Survey (DES) data. We…

We present the development of a data-driven, AI-based model of the Point Spread Function (PSF) that achieves higher accuracy than the current state-of-the-art approach, "PSF in the Full Field-of-View'' (PIFF). PIFF is widely used in leading…

Instrumentation and Methods for Astrophysics · Physics 2026-02-18 Dayana Andrea Henao Arbeláez , Pierre-François Léget , Andrés Alejandro Plazas Malagón

Telescope Point Spread Function (PSF) quality is critical for realising the potential of cosmic weak lensing observations to constrain dark energy and test General Relativity. In this paper we use quantitative weak gravitational lensing…

Weak gravitational lensing, or weak lensing, is one of the most powerful probes for dark matter and dark energy science, although it faces increasing challenges in controlling systematic uncertainties as \edit{the statistical errors become…

The accurate modelling of the Point Spread Function (PSF) is of paramount importance in astronomical observations, as it allows for the correction of distortions and blurring caused by the telescope and atmosphere. PSF modelling is crucial…

Instrumentation and Methods for Astrophysics · Physics 2023-09-25 Tobias Liaudat , Jean-Luc Starck , Martin Kilbinger

We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 4422 deg$^2$ of the southern sky. We describe how the…

Point Spread Function (PSF) modeling is a central part of any astronomy data analysis relying on measuring the shapes of objects. It is especially crucial for weak gravitational lensing, in order to beat down systematics and allow one to…

Instrumentation and Methods for Astrophysics · Physics 2015-05-30 Joel Bergé , Sedona Price , Adam Amara , Jason Rhodes

This Point spread function (PSF) plays a crucial role in many computational imaging applications, such as shape from focus/defocus, depth estimation, and fluorescence microscopy. However, the mathematical model of the defocus process is…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Renzhi He , Yan Zhuang , Boya Fu , Fei Liu

We have developed a new technique for weak lensing analysis, with which the effect of the point spread function (PSF) on small galaxy images can be corrected for accurately. Rather than relying on weighted second moments of detected images,…

Astrophysics · Physics 2016-08-30 Konrad Kuijken

Weak lensing by large-scale structure is an invaluable cosmological tool given that most of the energy density of the concordance cosmology is invisible. Several large ground-based imaging surveys will attempt to measure this effect over…

Cosmology and Nongalactic Astrophysics · Physics 2015-11-18 Eric M. Huff , Christopher M. Hirata , Rachel Mandelbaum , David Schlegel , Uros Seljak , Robert H. Lupton

Aims:Calibrating the point spread function (PSF) is a fundamental part of weak gravitational lensing analyses. Even with corrected galaxy images, imperfect calibrations can introduce biases. We propose an analytical framework for…

Weak gravitational lensing is one of the most powerful tools for cosmology, while subject to challenges in quantifying subtle systematic biases. The Point Spread Function (PSF) can cause biases in weak lensing shear inference when the PSF…

Instrumentation and Methods for Astrophysics · Physics 2021-12-13 Tianqing Zhang , Rachel Mandelbaum , The LSST Dark Energy Science Collaboration

Reconstruction of the point spread function (PSF) is a critical process in weak lensing measurement. We develop a real-data based and galaxy-oriented pipeline to compare the performances of various PSF reconstruction schemes. Making use of…

Cosmology and Nongalactic Astrophysics · Physics 2017-04-24 Tianhuan Lu , Jun Zhang , Fuyu Dong , Yingke Li , Dezi Liu , Liping Fu , Guoliang Li , Zuhui Fan

Beyond-two-point statistics contain additional information on cosmological as well as astrophysical and observational (systematics) parameters. In this methodology paper we provide an end-to-end simulation-based analysis of a set of…

Modeling the Point Spread Function (PSF) of wide-field surveys is vital for many astrophysical applications and cosmological probes including weak gravitational lensing. The PSF smears the image of any recorded object and therefore needs to…

Instrumentation and Methods for Astrophysics · Physics 2018-07-26 Jörg Herbel , Tomasz Kacprzak , Adam Amara , Alexandre Refregier , Aurelien Lucchi

We introduce a new algorithm for interpolating measurements of the point-spread function (PSF) using stars from many exposures. The principal components of the variation in the PSF pattern from multiple exposures are used to solve for…

Astrophysics · Physics 2007-05-23 Mike Jarvis , Bhuvnesh Jain

As the statistical power of galaxy weak lensing reaches percent level precision, large, realistic and robust simulations are required to calibrate observational systematics, especially given the increased importance of object blending as…

The point-spread function (PSF) of an imaging system describes the response of the system to a point source. Accurately determining the PSF enables one to correct for the combined effects of focussing and scattering within the imaging…

Instrumentation and Methods for Astrophysics · Physics 2022-11-01 Stefan Johann Hofmeister , Michael Hahn , Daniel Wolf Savin

The point spread function (PSF) reflects states of a telescope and plays an important role in development of data processing methods, such as PSF based astrometry, photometry and image restoration. However, for wide field small aperture…

Instrumentation and Methods for Astrophysics · Physics 2021-07-07 Peng Jia , Xuebo Wu , Zhengyang Li , Bo Li , Weihua Wang , Qiang Liu , Adam Popowicz

We present the methodology for the weak lensing and galaxy clustering analyses of the Dark Energy Survey (DES) Year 6 data set. In this work, we design and validate the analysis pipeline for the cosmic shear, galaxy clustering plus…

Cosmology and Nongalactic Astrophysics · Physics 2026-01-22 D. Sanchez-Cid , A. Ferté , J. Blazek , S. Samuroff , A. Amon , F. Andrade-Oliveira , J. M. Coloma-Nadal , J. Muir , A. Porredon , J. Prat , N. Weaverdyck , M. Yamamoto , D. Anbajagane , M. R. Becker , P. Carrilho , C. Chang , M. Crocce , G. Giannini , W. d'Assignies , J. DeRose , S. Dodelson , E. Krause , E. Legnani , J. Mena-Fernández , N. MacCrann , A. Pourtsidou , C. Preston , P. Rogozenski , M. Rodriguez-Monroy , R. Rosenfeld , E. Sanchez , I. Sevilla-Noarbe , M. Soares-Santos , C. To , M. A. Troxel , M. Tsedrik , B. Yin , J. Zuntz , T. M. C. Abbott , M. Aguena , S. Allam , O. Alves , S. Avila , D. Bacon , K. Bechtol , E. Bertin , S. Bocquet , D. Brooks , H. Camacho , R. Camilleri , A. Campos , A. Carnero Rosell , J. Carretero , F. J. Castander , R. Cawthon , A. Choi , L. N. da Costa , M. E. da Silva Pereira , T. M. Davis , J. De Vicente , S. Desai , C. Doux , A. Drlica-Wagner , T. Eifler , J. Elvin-Poole , S. Everett , A. E. Evrard , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , M. Gatti , E. Gaztanaga , P. Giles , K. Glazebrook , D. Gruen , G. Gutierrez , I. Harrison , K. Herner , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , B. Jain , D. J. James , N. Jeffrey , T. Kacprzak , K. Kuehn , O. Lahav , S. Lee , J. L. Marshall , F. Menanteau , R. Miquel , J. J. Mohr , J. Myles , R. C. Nichol , R. L. C. Ogando , A. Palmese , M. Paterno , W. J. Percival , A. A. Plazas Malagón , M. Raveri , A. Roodman , C. Sánchez , T. Schutt , E. Sheldon , N. Sherman , T. Shin , M. Smith , E. Suchyta , M. E. C. Swanson , M. Tabbutt , G. Tarle , D. Thomas , D. L. Tucker , V. Vikram , A. R. Walker , B. Yanny
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