• Corpus ID: 119425848

The Pan-STARRS1 Surveys

@article{Chambers2016ThePS,
  title={The Pan-STARRS1 Surveys},
  author={K. C. Chambers and Eugene. A. Magnier and N. Metcalfe and Heather Flewelling and Martin E. Huber and C. Z. Waters and Larry Denneau and Peter W. Draper and Daniel J. Farrow and Douglas P. Finkbeiner and Conrad Holmberg and Johannes Koppenhoefer and Paul A. Price and Armin Rest and Roberto P. Saglia and Edward F. Schlafly and Steven J. Smartt and William Emmett Sweeney and Richard J. Wainscoat and W. S. Burgett and S. Chastel and T. Grav and James N. Heasley and Klaus W. Hodapp and Robert Jedicke and N. Kaiser and Rolf Peter Kudritzki and Gerard Anthony Luppino and Robert H. Lupton and David G. Monet and Jeffrey S. Morgan and Peter M. Onaka and Bernie Shiao and Christopher W. Stubbs and John L. Tonry and R. White and Eduardo Ba{\~n}ados and Eric F. Bell and Ralf Bender and Edouard J. Bernard and Mirko Boegner and Francesca R. Boffi and Maria Teresa Botticella and Annalisa Calamida and Stefano Casertano and W-P. Chen and X. Chen and Shaun Cole and Niall R. Deacon and Carlos S. Frenk and Alan Fitzsimmons and Suvi Gezari and Victor Gibbs and C. Goessl and Tommaso Goggia and R. Gourgue and Bertrand Goldman and Paul Grant and E. K. Grebel and Nigel C. Hambly and G{\"u}nther Hasinger and A. F. Heavens and T. M. Heckman and R. Henderson and Th. Henning and Matthew J. Holman and Ulrich Hopp and W. H. Ip and Sidik Isani and Matthew Jackson and Charles D. Tony Keyes and Anton M. Koekemoer and Rubina Kotak and Dm Le and David W. Liska and Knox S. Long and John R Lucey and M. Liu and Nicolas F. Martin and Giovanni Masci and Brian McLean and Eugene D. Mindel and Payal. Misra and E. Morganson and David N. A. Murphy and A. Obaika and Gautham Narayan and Mar{\'i}a A. Nieto-Santisteban and P. Norberg and John A Peacock and Edward Alan Pier and Marc Postman and Nataly V. Primak and C. Rae and Archita Rai and Adam G. Riess and A. Riffeser and Hans-Walter Rix and Siegfried Roser and R. W. Russel and Louise Rutz and Elena Schilbach and A. S. B. Schultz and Dan Scolnic and L. Strolger and Alexander S. Szalay and Stella Seitz and Emma E. Small and K. W. Smith and David R. Soderblom and P. Taylor and Ross Thomson and A. N. Taylor and Anirudda R. Thakar and J. Thiel and David A. Thilker and D. Unger and Yuji Urata and Jeff A. Valenti and J Wagner and Thomas Walder and Fabian Walter and Shannon Watters and Sue Werner and W. Michael Wood-Vasey and Rosemary F. G. Wyse},
  journal={arXiv: Instrumentation and Methods for Astrophysics},
  year={2016}
}
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 3$\pi$ Steradian Survey in $grizy_{P1}$ are (23.3, 23.2, 23.1, 22.3, 21.4) respectively. The upper bound on the systematic uncertainty in the photometric calibration across the sky is 7-12 millimag depending on the bandpass. The systematic uncertainty of the… 
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References

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Pan-STARRS Photometric and Astrometric Calibration
We present the details of the photometric and astrometric calibration of the Pan-STARRS1 $3\pi$ Survey. The photometric goals were to reduce the systematic effects introduced by the camera and
Mapping the Extinction Curve in 3D: Structure on Kiloparsec Scales
© 2017. The American Astronomical Society. All rights reserved.. Near-infrared spectroscopy from APOGEE and wide-field optical photometry from Pan-STARRS1 have recently made precise measurements of
Pan-STARRS Pixel Analysis: Source Detection and Characterization
TLDR
The analysis of the astronomical objects by psphot in general as well as for the specific case of the 3rd processing version used for the first two public releases of the Pan-STARRS $3\pi$ survey data, DR1 & DR2 are described.
Hypercalibration: A Pan-STARRS1-based Recalibration of the Sloan Digital Sky Survey Photometry
Author(s): Finkbeiner, DP; Schlafly, EF; Schlegel, DJ; Padmanabhan, N; Juric, M; Burgett, WS; Chambers, KC; Denneau, L; Draper, PW; Flewelling, H; Hodapp, KW; Kaiser, N; Magnier, EA; Metcalfe, N;
Pan-STARRS Pixel Processing: Detrending, Warping, Stacking
The Pan-STARRS1 Science Consortium have carried out a set of imaging surveys using the 1.4 giga-pixel GPC1 camera on the PS1 telescope. As this camera is composed of many individual electronic
Distant Solar System Objects identified in the Pan-STARRS1 survey
We present a method to identify distant solar system objects in long-term wide-field asteroid survey data, and conduct a search for them in the Pan-STARRS1 (PS1) image data acquired from 2010 to
The ASAS-SN bright supernova catalogue – I. 2013–2014
We present basic statistics for all supernovae discovered by the All-Sky Automated Survey for SuperNovae (ASAS-SN) during its first year-and-a-half of operations, spanning 2013 and 2014. We also
Measuring the Properties of Dark Energy with Photometrically Classified Pan-STARRS Supernovae. I. Systematic Uncertainty from Core-Collapse Supernova Contamination
The Pan-STARRS (PS1) Medium Deep Survey discovered over 5,000 likely supernovae (SNe) but obtained spectral classifications for just 10% of its SN candidates. We measured spectroscopic host galaxy
The Pan-STARRS Data Processing System
TLDR
The Image Processing Pipeline is described and its connections to both the summit data systems and the outward-facing systems downstream include the Moving Object Processing System (MOPS) & the public database: the Published Science Products Subsystem (PSPS).
The Pan-STARRS1 Database and Data Products
TLDR
The database is described in detail, including the construction of the database, the provenance of the data, the schema, and how the database tables are related.
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