Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

Kitching, T., Amara, A., Gill, M., Harmeling, S., Heymans, C., Massey, R., et al. (2011). Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook. Annals of Applied Statistics, 5(3), 2231-2263. doi:10.1214/11-AOAS484.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Externe Referenzen

einblenden:
ausblenden:
Beschreibung:
-
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Kitching, T, Autor
Amara, A, Autor
Gill, M, Autor
Harmeling, S1, 2, Autor           
Heymans, C, Autor
Massey, R, Autor
Rowe, B, Autor
Schrabback, T, Autor
Voigt, L, Autor
Balan, S, Autor
Bernstein, G, Autor
Bethge, M2, 3, Autor           
Bridle, S, Autor
Courbin, F, Autor
Gentile, M, Autor
Heavens, A, Autor
Hirsch, M1, 2, Autor           
Hosseini, R2, 3, Autor           
Kiessling, A, Autor
Kirk, D, Autor
Kuijken, K, AutorMandelbaum, R, AutorMoghaddam, B, AutorNurbaeva, G, AutorPaulin-Henriksson , S, AutorRassat, A, AutorRhodes, J, AutorSchölkopf, B1, 2, Autor           Shawe-Taylor, J, AutorShmakova , M, AutorTaylor, A, AutorVelander, M, Autorvan Waerbeke, L, AutorWitherick, D, AutorWittman, D, Autor mehr..
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: GRavitational lEnsing Accuracy Testing 2010 (GREAT10) is a public image analysis challenge aimed at the development of algorithms to analyze astronomical images. Specifically, the challenge is to measure varying image distortions in the presence of a variable convolution kernel, pixelization and noise. This is the second in a series of challenges set to the astronomy, computer science and statistics communities, providing a structured environment in which methods can be improved and tested in preparation for planned astronomical surveys. GREAT10 extends upon previous work by introducing variable fields into the challenge. The “Galaxy Challenge” involves the precise measurement of galaxy shape distortions, quantified locally by two parameters called shear, in the presence of a known convolution kernel. Crucially, the convolution kernel and the simulated gravitational lensing shape distortion both now vary as a function of position within the images, as is the case for real data. In addition, we introduce the “Star Challenge” that concerns the reconstruction of a variable convolution kernel, similar to that in a typical astronomical observation. This document details the GREAT10 Challenge for potential participants. Continually updated information is also available from www.greatchallenges.info.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2011-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1214/11-AOAS484
BibTex Citekey: KitchingAGHHMRSVBBBBCGHHHKKKMMNPRRSSSTVvWW2011
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Annals of Applied Statistics
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 5 (3) Artikelnummer: - Start- / Endseite: 2231 - 2263 Identifikator: -