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Pan-STARRS1: Galaxy Clustering in the Small Area Survey 2
- Source :
- Monthly notices of the Royal Astronomical Society, 2014, Vol.437(1), pp.748-770 [Peer Reviewed Journal], Monthly Notices of the Royal Astronomical Society
- Publication Year :
- 2013
-
Abstract
- The Pan-STARRS1 survey is currently obtaining imaging in 5 bands (grizy) for the $3��$ steradian survey, one of the largest optical surveys ever conducted. The finished survey will have spatially varying depth, due to the survey strategy. This paper presents a method to correct galaxy number counts and galaxy clustering for this potential systematic based on a simplified signal to noise measurement. A star and galaxy separation method calibrated using realistic synthetic images is also presented, along with an approach to mask bright stars. By using our techniques on a ~69 sq. degree region of science verification data this paper shows PS1 measurements of the two point angular correlation function as a function of apparent magnitude agree with measurements from deeper, smaller surveys. Clustering measurements appear reliable down to a magnitude limit of rps<br />26 pages, 28 figures. Accepted for publication in MNRAS
- Subjects :
- Cosmology and Nongalactic Astrophysics (astro-ph.CO)
FOS: Physical sciences
Magnitude (mathematics)
Astrophysics::Cosmology and Extragalactic Astrophysics
Astrophysics
Surveys
01 natural sciences
law.invention
Telescope
Apparent magnitude
Large-scale structure of Universe
law
0103 physical sciences
observational [Methods]
10. No inequality
010306 general physics
Cluster analysis
010303 astronomy & astrophysics
Physics
Steradian
Astronomy and Astrophysics
Galaxy
Square degree
Stars
Space and Planetary Science
Astrophysics - Cosmology and Nongalactic Astrophysics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Monthly notices of the Royal Astronomical Society, 2014, Vol.437(1), pp.748-770 [Peer Reviewed Journal], Monthly Notices of the Royal Astronomical Society
- Accession number :
- edsair.doi.dedup.....3a5e2f87f0529011bea04c8901bb2c33