Science-advisor
REGISTER info/FAQ
Login
username
password
     
forgot password?
register here
 
Research articles
  search articles
  reviews guidelines
  reviews
  articles index
My Pages
my alerts
  my messages
  my reviews
  my favorites
 
 
Stat
Members: 3645
Articles: 2'504'585
Articles rated: 2609

25 April 2024
 
  » arxiv » 1705.6745

 Article overview



The first-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey
Rachel Mandelbaum ; Hironao Miyatake ; Takashi Hamana ; Masamune Oguri ; Melanie Simet ; Robert Armstrong ; James Bosch ; Ryoma Murata ; François Lanusse ; Alexie Leauthaud ; Jean Coupon ; Surhud More ; Masahiro Takada ; Satoshi Miyazaki ; Joshua S. Speagle ; Masato Shirasaki ; Cristóbal Sifón ; Song Huang ; Atsushi J. Nishizawa ; Elinor Medezinski ; Yuki Okura ; Nobuhiro Okabe ; Nicole Czakon ; Ryuichi Takahashi ; Will Coulton ; Chiaki Hikage ; Yutaka Komiyama ; Robert H. Lupton ; Michael A. Strauss ; Masayuki Tanaka ; Yousuke Utsumi ;
Date 18 May 2017
AbstractWe present and characterize the catalog of galaxy shape measurements that will be used for cosmological weak lensing measurements in the Wide layer of the first year of the Hyper Suprime-Cam (HSC) survey. The catalog covers an area of 136.9 deg$^2$ split into six fields, with a mean $i$-band seeing of 0.58 arcsec and $5sigma$ point-source depth of $isim 26$. Given conservative galaxy selection criteria for first year science, the depth and excellent image quality results in unweighted and weighted source number densities of 24.6 and 21.8 arcmin$^{-2}$, respectively. Point-spread function (PSF) modeling is carried out on individual exposures, while galaxy shapes are measured on a linear coaddition. We define the requirements for cosmological weak lensing science with this catalog, characterize potential systematics in the catalog using a series of internal null tests for problems with PSF modeling, shear estimation, and other aspects of the image processing, and describe systematics tests using two different sets of image simulations. Finally, we discuss the dominant systematics and the planned algorithmic changes to reduce them in future data reductions.
Source arXiv, 1705.6745
Services Forum | Review | PDF | Favorites   
 
Visitor rating: did you like this article? no 1   2   3   4   5   yes

No review found.
 Did you like this article?

This article or document is ...
important:
of broad interest:
readable:
new:
correct:
Global appreciation:

  Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.

browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)






ScienXe.org
» my Online CV
» Free


News, job offers and information for researchers and scientists:
home  |  contact  |  terms of use  |  sitemap
Copyright © 2005-2024 - Scimetrica