Details
-
Type:
RFC
-
Status: Implemented
-
Resolution: Done
-
Component/s: DM
-
Labels:None
Description
The HSC team has a set of bright object masks that are provided externally and
can be applied in AssembleCoaddTask to mask bright stars and other troublesome objects. I would like to add the bright object masks of version "Arcturus" to the /datasets/hsc root butler repo, so they can be used more easily.
Attachments
Issue Links
- is triggering
-
- Done
Activity
arXiv:1705.00622
Date: Mon, 1 May 2017 18:00:02 GMT (10044kb,D)Title: The bright-star masks for the HSC-SSP survey
Authors: Jean Coupon, Nicole Czakon, James Bosch, Yutaka Komiyama, Elinor
Medezinski, Satoshi Miyazaki and Masamune Oguri
Categories: astro-ph.IM
Comments: 20 pages, 17 figures, submitted to PASJ
We present the procedure to build and validate the bright-star masks for the
Hyper-Suprime-Cam Strategic Subaru Proposal (HSC-SSP) survey. To identify and
mask the saturated stars in the full HSC-SSP footprint, we rely on the Gaia and
Tycho-2 star catalogues. We first assemble a pure star catalogue down to
G_Gaia < 18 after removing ~1.5% of sources that appear extended
in the Sloan Digital Sky Survey (SDSS). We perform visual inspection on the
early data from the S16A internal release of HSC-SSP, finding that our star
catalogue is 99.2% pure down to G_Gaia < 18. Second, we build the
mask regions in an automated way using stacked detected source measurements
around bright stars binned per G_Gaia magnitude. Finally, we validate
those masks from visual inspection and comparison with the literature of galaxy
number counts and angular two-point correlation functions. This version
(Arcturus) supersedes the previous version (Sirius) used in the S16A internal
and DR1 public releases. We publicly release the full masks and tools to flag
objects in the entire footprint of the planned HSC-SSP observations at this
address: ftp://obsftp.unige.ch/pub/coupon/brightStarMasks/HSC-SSP/.
( https://arxiv.org/abs/1705.00622 , 10044kb)
Paul Price
added a comment - - edited
arXiv:1705.00622
Date: Mon, 1 May 2017 18:00:02 GMT (10044kb,D)
Title: The bright-star masks for the HSC-SSP survey
Authors: Jean Coupon, Nicole Czakon, James Bosch, Yutaka Komiyama, Elinor
Medezinski, Satoshi Miyazaki and Masamune Oguri
Categories: astro-ph.IM
Comments: 20 pages, 17 figures, submitted to PASJ
We present the procedure to build and validate the bright-star masks for the
Hyper-Suprime-Cam Strategic Subaru Proposal (HSC-SSP) survey. To identify and
mask the saturated stars in the full HSC-SSP footprint, we rely on the Gaia and
Tycho-2 star catalogues. We first assemble a pure star catalogue down to
G_Gaia < 18 after removing ~1.5% of sources that appear extended
in the Sloan Digital Sky Survey (SDSS). We perform visual inspection on the
early data from the S16A internal release of HSC-SSP, finding that our star
catalogue is 99.2% pure down to G_Gaia < 18. Second, we build the
mask regions in an automated way using stacked detected source measurements
around bright stars binned per G_Gaia magnitude. Finally, we validate
those masks from visual inspection and comparison with the literature of galaxy
number counts and angular two-point correlation functions. This version
(Arcturus) supersedes the previous version (Sirius) used in the S16A internal
and DR1 public releases. We publicly release the full masks and tools to flag
objects in the entire footprint of the planned HSC-SSP observations at this
address: ftp://obsftp.unige.ch/pub/coupon/brightStarMasks/HSC-SSP/ .
( https://arxiv.org/abs/1705.00622 , 10044kb) Data have been downloaded using a link provided by Paul Price.
The total size of all patches is ~8.7GB.
The patches of these Bright Object Masks are added to /datasets/hsc/repo/deepCoadd/ (DM-10436).
Hsin-Fang Chiang
added a comment - Data have been downloaded using a link provided by Paul Price .
The total size of all patches is ~8.7GB.
The patches of these Bright Object Masks are added to /datasets/hsc/repo/deepCoadd/ ( DM-10436 ). 
It should be known that the author of the bright star masks is Jean Coupon, who has a paper describing their creation coming out on the arXiv in the next day or two.