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A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-zs) has been consolidated as the standard strategy to bypass the…

Redundancy of experimental data is the basic statistic from which the complexity of a natural phenomenon and the proper number of experiments needed for its exploration can be estimated. The redundancy is expressed by the entropy of…

Data Analysis, Statistics and Probability · Physics 2007-10-10 I. Grabec

In the next years, several cosmological surveys will rely on imaging data to estimate the redshift of galaxies, using traditional filter systems with 4-5 optical broad bands; narrower filters improve the spectral resolution, but strongly…

Photometric redshifts are a key ingredient in the analysis and interpretation of large-scale structure (LSS) surveys. The accuracy and precision of these redshift estimates are directly linked to the constraining power of photometric…

Cosmology and Nongalactic Astrophysics · Physics 2023-12-08 Robert Reischke

From SDSS commissioning photometric and spectroscopic data, we investigate the utility of photometric redshift techniques to the task of estimating QSO redshifts. We consider empirical methods (e.g. nearest-neighbor searches and polynomial…

We propose a method of estimating the uncertainty of a result obtained through extrapolation to the complete basis set limit. The method is based on an ensemble of random walks which simulate all possible extrapolation outcomes that could…

Data Analysis, Statistics and Probability · Physics 2025-08-26 Jakub Lang , Michał Przybytek , Michał Lesiuk

We present an efficient method of calculating exact confidence intervals for the hypergeometric parameter representing the number of "successes," or "special items," in the population. The method inverts minimum-width acceptance intervals…

Methodology · Statistics 2022-04-29 Jay Bartroff , Gary Lorden , Lijia Wang

Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion. Conventional methods require either accurate key point matching or precise segmentation of the axial-view images. Both…

Computer Vision and Pattern Recognition · Computer Science 2019-10-31 Yuanhao Guo , Fons J. Verbeek , Ge Yang

We show how to enhance the redshift accuracy of surveys consisting of tracers with highly uncertain positions along the line of sight. Photometric surveys with redshift uncertainty delta_z ~ 0.03 can yield final redshift uncertainties of…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 Jens Jasche , Benjamin D. Wandelt

This paper reports the results obtained on the photometric redshifts measurement and accuracy, and cluster tomography in the ESO Distant Cluster Survey (EDisCS) fields. Photometric redshifts were computed using two independent codes (Hyperz…

Photometric redshifts are essential in studies of both galaxy evolution and cosmology, as they enable analyses of objects too numerous or faint for spectroscopy. The Rubin Observatory, Euclid, and Roman Space Telescope will soon provide a…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-28 Jeffrey A. Newman , Daniel Gruen

Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. However, to date, no method has been able to produce photo-$z$s…

Astrophysics of Galaxies · Physics 2020-11-25 Euclid Collaboration , G. Desprez , S. Paltani , J. Coupon , I. Almosallam , A. Alvarez-Ayllon , V. Amaro , M. Brescia , M. Brodwin , S. Cavuoti , J. De Vicente-Albendea , S. Fotopoulou , P. W. Hatfield , W. G. Hartley , O. Ilbert , M. J. Jarvis , G. Longo , R. Saha , J. S. Speagle , A. Tramacere , M. Castellano , F. Dubath , A. Galametz , M. Kuemmel , C. Laigle , E. Merlin , J. J. Mohr , S. Pilo , M. Salvato , M. M. Rau , S. Andreon , N. Auricchio , C. Baccigalupi , A. Balaguera-Antolínez , M. Baldi , S. Bardelli , R. Bender , A. Biviano , C. Bodendorf , D. Bonino , E. Bozzo , E. Branchini , J. Brinchmann , C. Burigana , R. Cabanac , S. Camera , V. Capobianco , A. Cappi , C. Carbone , J. Carretero , C. S. Carvalho , R. Casas , S. Casas , F. J. Castander , G. Castignani , A. Cimatti , R. Cledassou , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , H. M. Courtois , J. -G. Cuby , A. Da Silva , S. de la Torre , H. Degaudenzi , D. Di Ferdinando , M. Douspis , C. A. J. Duncan , X. Dupac , A. Ealet , G. Fabbian , M. Fabricius , S. Farrens , P. G. Ferreira , F. Finelli , P. Fosalba , N. Fourmanoit , M. Frailis , E. Franceschi , M. Fumana , S. Galeotta , B. Garilli , W. Gillard , B. Gillis , C. Giocoli , G. Gozaliasl , J. Graciá-Carpio , F. Grupp , L. Guzzo , M. Hailey , S. V. H. Haugan , W. Holmes , F. Hormuth , A. Humphrey , K. Jahnke , E. Keihanen , S. Kermiche , M. Kilbinger , C. C. Kirkpatrick , T. D. Kitching , R. Kohley , B. Kubik , M. Kunz , H. Kurki-Suonio , S. Ligori , P. B. Lilje , I. Lloro , D. Maino , E. Maiorano , O. Marggraf , K. Markovic , N. Martinet , F. Marulli , R. Massey , M. Maturi , N. Mauri , S. Maurogordato , E. Medinaceli , S. Mei , M. Meneghetti , R. Benton Metcalf , G. Meylan , M. Moresco , L. Moscardini , E. Munari , S. Niemi , C. Padilla , F. Pasian , L. Patrizii , V. Pettorino , S. Pires , G. Polenta , M. Poncet , L. Popa , D. Potter , L. Pozzetti , F. Raison , A. Renzi , J. Rhodes , G. Riccio , E. Rossetti , R. Saglia , D. Sapone , P. Schneider , V. Scottez , A. Secroun , S. Serrano , C. Sirignano , G. Sirri , L. Stanco , D. Stern , F. Sureau , P. Tallada Crespí , D. Tavagnacco , A. N. Taylor , M. Tenti , I. Tereno , R. Toledo-Moreo , F. Torradeflot , L. Valenziano , J. Valiviita , T. Vassallo , M. Viel , Y. Wang , N. Welikala , L. Whittaker , A. Zacchei , G. Zamorani , J. Zoubian , E. Zucca

Nonparametric estimation of a mixing distribution based on data coming from a mixture model is a challenging problem. Beyond estimation, there is interest in uncertainty quantification, e.g., confidence intervals for features of the mixing…

Methodology · Statistics 2019-06-14 Vaidehi Dixit , Ryan Martin

We study the impact of systematic errors on planned weak lensing surveys and compute the requirements on their contributions so that they are not a dominant source of the cosmological parameter error budget. The generic types of error we…

Astrophysics · Physics 2010-04-06 Dragan Huterer , Masahiro Takada , Gary Bernstein , Bhuvnesh Jain

The estimation and utilization of photometric redshift probability density functions (photo-$z$ PDFs) has become increasingly important over the last few years and currently there exist a wide variety of algorithms to compute photo-$z$'s,…

Cosmology and Nongalactic Astrophysics · Physics 2014-06-05 M. Carrasco Kind , R. J. Brunner

Photometric redshift estimation is a key requirement for modern large-area surveys, where spectroscopic measurements are observationally prohibitive. Seyfert II galaxies provide a particularly challenging test case due to the combined…

Astrophysics of Galaxies · Physics 2026-04-23 Uzay Aydin

We introduce Z-Sequence, a novel empirical model that utilises photometric measurements of observed galaxies within a specified search radius to estimate the photometric redshift of galaxy clusters. Z-Sequence itself is composed of a…

Astrophysics of Galaxies · Physics 2021-04-26 Matthew C. Chan , John P. Stott

We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing (WL) source galaxies from the Dark Energy Survey Year 1…

Cosmology and Nongalactic Astrophysics · Physics 2018-03-14 M. Gatti , P. Vielzeuf , C. Davis , R. Cawthon , M. M. Rau , J. DeRose , J. De Vicente , A. Alarcon , E. Rozo , E. Gaztanaga , B. Hoyle , R. Miquel , G. M. Bernstein , C. Bonnett , A. Carnero Rosell , F. J. Castander , C. Chang , L. N. da Costa , D. Gruen , J. Gschwend , W. G. Hartley , H. Lin , N. MacCrann , M. A. G. Maia , R. L. C. Ogando , A. Roodman , I. Sevilla-Noarbe , M. A. Troxel , R. H. Wechsler , J. Asorey , T. M. Davis , K. Glazebrook , S. R. Hinton , G. Lewis , C. Lidman , E. Macaulay , A. Möller , C. R. O'Neill , N. E. Sommer , S. A. Uddin , F. Yuan , B. Zhang , T. M. C. Abbott , S. Allam , J. Annis , K. Bechtol , D. Brooks , D. L. Burke , D. Carollo , M. Carrasco Kind , J. Carretero , C. E. Cunha , C. B. D'Andrea , D. L. DePoy , S. Desai , T. F. Eifler , A. E. Evrard , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , D. W. Gerdes , D. A. Goldstein , R. A. Gruendl , G. Gutierrez , K. Honscheid , J. K. Hoormann , B. Jain , D. J. James , M. Jarvis , T. Jeltema , M. W. G. Johnson , M. D. Johnson , E. Krause , K. Kuehn , S. Kuhlmann , N. Kuropatkin , T. S. Li , M. Lima , J. L. Marshall , P. Melchior , F. Menanteau , R. C. Nichol , B. Nord , A. A. Plazas , K. Reil , E. S. Rykoff , M. Sako , E. Sanchez , V. Scarpine , M. Schubnell , E. Sheldon , M. Smith , R. C. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , B. E. Tucker , D. L. Tucker , V. Vikram , A. R. Walker , J. Weller , W. Wester , R. C. Wolf

Context: Understanding the source of systematic errors in photometry is essential for their calibration. Aims: We investigate how photometry performed on difference images can be influenced by errors in the photometric scale factor.…

Instrumentation and Methods for Astrophysics · Physics 2015-05-27 D. M. Bramich , E. Bachelet , K. A. Alsubai , D. Mislis , N. Parley

Failure to accurately measure the outcomes of an experiment can lead to bias and incorrect conclusions. Online controlled experiments (aka AB tests) are increasingly being used to make decisions to improve websites as well as mobile and…

Other Computer Science · Computer Science 2019-04-01 Jayant Gupchup , Yasaman Hosseinkashi , Pavel Dmitriev , Daniel Schneider , Ross Cutler , Andrei Jefremov , Martin Ellis