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Related papers: Hypercalibration: A Pan-STARRS1-based recalibratio…

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We present a precise photometric calibration of the first 1.5 years of science imaging from the Pan-STARRS1 survey (PS1), an ongoing optical survey of the entire sky north of declination -30 degrees in five bands. Building on the techniques…

We present an algorithm to photometrically calibrate wide field optical imaging surveys, that simultaneously solves for the calibration parameters and relative stellar fluxes using overlapping observations. The algorithm decouples the…

We present an independent validation and comprehensive re-calibration of S-PLUS Ultra-Short Survey (USS) DR1 12-band photometry using about 30,000--70,000 standard stars from the BEst STar (BEST) database. We identify spatial variation of…

As one of the best ground-based photometric dataset, Pan-STARRS1 (PS1) has been widely used as the reference to calibrate other surveys. In this work, we present an independent validation and re-calibration of the PS1 photometry using…

Solar and Stellar Astrophysics · Physics 2022-03-30 Kai Xiao , Haibo Yuan

We study the photometric properties of stars in the data archive of the Sloan Digital Sky Survey (SDSS), the prime aim being to understand the photometric calibration over the entire data set. It is confirmed that the photometric…

Solar and Stellar Astrophysics · Physics 2015-05-19 Masataka Fukugita , Naoki Yasuda , Mamoru Doi , James E. Gunn , Donald G. York

In this work, we perform the re-calibration of PS1 photometry by correcting for position-dependent systematic errors using the spectroscopy-based Stellar Color Regression method (SCR), the photometry-based SCR method (SCR$'$), and the Gaia…

Instrumentation and Methods for Astrophysics · Physics 2023-08-14 Kai Xiao , Haibo Yuan , Bowen Huang , Ruoyi Zhang , Lin Yang , Shuai Xu

In this paper, a total of approximately 2.6 million dwarfs were constructed as standard stars, with an accuracy of about 0.01-0.02 mag for each band, by combining spectroscopic data from the Large Sky Area Multi-Object Fiber Spectroscopic…

We extend the SDSS Stripe 82 Standard Stars Catalog with post-2007 SDSS imaging data. This improved version lists averaged SDSS ugriz photometry for nearly a million stars brighter than r~22 mag. With 2-3x more measurements per star, random…

Instrumentation and Methods for Astrophysics · Physics 2021-06-09 Karun Thanjavur , Željko Ivezić , Sahar S. Allam , Douglas L. Tucker , J. Allyn Smith , Stephen Gwyn

We apply the spectroscopy-based stellar-color regression (SCR) method to perform an accurate photometric re-calibration of the second data release from the SkyMapper Southern Survey (SMSS DR2). From comparison with a sample of over 200,000…

We present a comprehensive re-calibration of medium- and broad-band photometry from the Southern Photometric Local Universe Survey (S-PLUS) by leveraging two approaches: an improved Gaia XP Synthetic Photometry (XPSP) method with corrected…

We present a combined photometric calibration of the SNLS and the SDSS supernova survey, which results from a joint effort of the SDSS and the SNLS collaborations. We deliver fluxes calibrated to the HST spectrophotometric star network for…

We present a new set of photometric transformations for red stars observed with the Sloan Digital Sky Survey (SDSS) 0.5-m Photometric Telescope (PT) and the SDSS 2.5-m telescope at the Apache Point Observatory in New Mexico. Nightly PT…

We present details of the construction and characterization of the coaddition of the Sloan Digital Sky Survey Stripe 82 \ugriz\ imaging data. This survey consists of 275 deg$^2$ of repeated scanning by the SDSS camera of $2.5\arcdeg$ of…

The Pan-STARRS1 survey is obtaining multi-epoch imaging in 5 bands (gps rps ips zps yps) over the entire sky North of declination -30deg. We describe here the implementation of the Photometric Classification Server (PCS) for Pan-STARRS1.…

This paper describes the Seventh Data Release of the Sloan Digital Sky Survey (SDSS), marking the completion of the original goals of the SDSS and the end of the phase known as SDSS-II. It includes 11663 deg^2 of imaging data, with most of…

Astrophysics · Physics 2019-08-14 K. Abazajian

We present improved methods for using stars found in astronomical exposures to calibrate both star and galaxy colors as well as to adjust the instrument flat field. By developing a spectroscopic model for the SDSS stellar locus in…

We present the optical data for 195 HI-selected galaxies that fall within both the Sloan Digital Sky Survey (SDSS) and the Parkes Equatorial Survey (ES). The photometric quantities have been independently recomputed for our sample using a…

The astrometric calibration of the Sloan Digital Sky Survey is described. For point sources brighter than r ~ 20 the astrometric accuracy is 45 milliarcseconds (mas) rms per coordinate when reduced against the USNO CCD Astrograph Catalog,…

Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the $3\pi$ Steradian Survey and the Medium Deep Survey in 5 bands ($grizy_{P1}$). The mean 5$\sigma$ point source limiting sensitivities in the stacked…

Instrumentation and Methods for Astrophysics · Physics 2019-01-31 K. C. Chambers , E. A. Magnier , N. Metcalfe , H. A. Flewelling , M. E. Huber , C. Z. Waters , L. Denneau , P. W. Draper , D. Farrow , D. P. Finkbeiner , C. Holmberg , J. Koppenhoefer , P. A. Price , A. Rest , R. P. Saglia , E. F. Schlafly , S. J. Smartt , W. Sweeney , R. J. Wainscoat , W. S. Burgett , S. Chastel , T. Grav , J. N. Heasley , K. W. Hodapp , R. Jedicke , N. Kaiser , R. -P. Kudritzki , G. A. Luppino , R. H. Lupton , D. G. Monet , J. S. Morgan , P. M. Onaka , B. Shiao , C. W. Stubbs , J. L. Tonry , R. White , E. Bañados , E. F. Bell , R. Bender , E. J. Bernard , M. Boegner , F. Boffi , M. T. Botticella , A. Calamida , S. Casertano , W. -P. Chen , X. Chen , S. Cole , N. Deacon , C. Frenk , A. Fitzsimmons , S. Gezari , V. Gibbs , C. Goessl , T. Goggia , R. Gourgue , B. Goldman , P. Grant , E. K. Grebel , N. C. Hambly , G. Hasinger , A. F. Heavens , T. M. Heckman , R. Henderson , T. Henning , M. Holman , U. Hopp , W. -H. Ip , S. Isani , M. Jackson , C. D. Keyes , A. M. Koekemoer , R. Kotak , D. Le , D. Liska , K. S. Long , J. R. Lucey , M. Liu , N. F. Martin , G. Masci , B. McLean , E. Mindel , P. Misra , E. Morganson , D. N. A. Murphy , A. Obaika , G. Narayan , M. A. Nieto-Santisteban , P. Norberg , J. A. Peacock , E. A. Pier , M. Postman , N. Primak , C. Rae , A. Rai , A. Riess , A. Riffeser , H. W. Rix , S. Röser , R. Russel , L. Rutz , E. Schilbach , A. S. B. Schultz , D. Scolnic , L. Strolger , A. Szalay , S. Seitz , E. Small , K. W. Smith , D. R. Soderblom , P. Taylor , R. Thomson , A. N. Taylor , A. R. Thakar , J. Thiel , D. Thilker , D. Unger , Y. Urata , J. Valenti , J. Wagner , T. Walder , F. Walter , S. P. Watters , S. Werner , W. M. Wood-Vasey , R. Wyse

We present a robust method to estimate the redshift of galaxies using Pan-STARRS1 photometric data. Our method is an adaptation of the one proposed by Beck et al. (2016) for the SDSS Data Release 12. It uses a training set of 2313724…

Astrophysics of Galaxies · Physics 2020-10-14 Paula Tarrío , Stefano Zarattini
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