The CFHT Large Area U-band Deep Survey (CLAUDS)
Marcin Sawicki, Stephane Arnouts, Jiasheng Huang, Jean Coupon, Anneya, Golob, Stephen Gwyn, Sebastien Foucaud, Thibaud Moutard, Ikuru Iwata, Chengze, Liu, Lingjian Chen, Guillaume Desprez, Yuichi Harikane, Yoshiaki Ono, Michael, A. Strauss, Masayuki Tanaka, Nathalie Thibert

TL;DR
CLAUDS is a deep, wide-area U-band survey using CFHT data, providing the deepest images over 18.6 deg2, enabling advanced galaxy studies and photometric redshift improvements in conjunction with Subaru HSC data.
Contribution
It presents the first large-area, ultra-deep U-band imaging dataset that complements Subaru HSC data, enhancing galaxy analysis capabilities.
Findings
Deep U-band images reach median depth of U=27.1 AB over 18.6 deg2.
The dataset improves photometric redshifts when combined with grizy data.
Demonstrated applications include galaxy counts and Lyman break galaxy selection.
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,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
