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The CFHT Large Area U-band Deep Survey (CLAUDS)

Authors :
Sawicki, Marcin
Arnouts, Stephane
Huang, Jiasheng
Coupon, Jean
Golob, Anneya
Gwyn, Stephen
Foucaud, Sebastien
Moutard, Thibaud
Iwata, Ikuru
Liu, Chengze
Chen, Lingjian
Desprez, Guillaume
Harikane, Yuichi
Ono, Yoshiaki
Strauss, Michael A.
Tanaka, Masayuki
Thibert, Nathalie
Balogh, Michael
Bundy, Kevin
Chapman, Scott
Gunn, James E.
Hsieh, Bau-Ching
Ilbert, Olivier
Jing, Yipeng
LeFevre, Olivier
Li, Cheng
Matsuda, Yuichi
Miyazaki, Satoshi
Nagao, Tohru
Nishizawa, Atsushi J.
Ouchi, Masami
Shimasaku, Kazuhiro
Silverman, John
de la Torre, Sylvain
Tresse, Laurence
Wang, Wei-Hao
Willott, Chris J.
Yamada, Toru
Yang, Xiaohu
Yee, Howard K. C.
Publication Year :
2019

Abstract

The CFHT Large Area U-band Deep Survey (CLAUDS) uses data taken with the MegaCam mosaic imager on CFHT to produce images of 18.60 deg2 with median seeing of FWHM=0.92 arcsec and to a median depth of U = 27.1 AB (5 sigma in 2 arcsec apertures), with selected areas that total 1.36 deg2 reaching a median depth of U=27.7 AB. These are the deepest U-band images assembled to date over this large an area. These data are located in four fields also imaged to comparably faint levels in grizy and several narrowband filters as part of the Hyper Suprime-Cam (HSC) Subaru Strategic Program (HSC-SSP). These CFHT and Subaru datasets will remain unmatched in their combination of area and depth until the advent of the Large Synoptic Survey Telescope (LSST). This paper provides an overview of the scientific motivation for CLAUDS and gives details of the observing strategy, observations, data reduction, and data merging with the HSC-SSP. Three early applications of these deep data are used to illustrate the potential of the dataset: deep U-band galaxy number counts, z~3 Lyman break galaxy (LBG) selection, and photometric redshifts improved by adding CLAUDS U to the Subaru HSC grizy photometry.<br />Comment: MNRAS, in press

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1909.05898
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/stz2522