The Pan-STARRS1 Surveys

By K. Chambers, E. Magnier, N. Metcalfe, H. Flewelling, M. Huber, C. Waters, Larry Denneau, P. Draper, D. Farrow, Douglas P. Finkbeiner and 115 more. 2016

1,029 citations recorded by the source corpus.

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 astrometric calibration using the Gaia frame comes from a comparison of the results with Gaia: the standard deviation of the mean and median residuals ($ \Delta ra, \Delta dec $) are (2.3, 1.7) milliarcsec, and (3.1, 4.8) milliarcsec respectively. The Pan-STARRS system and the design of the PS1 surveys are described and an overview of the resulting image and catalog data products and their basic characteristics are described together with a summary of important results. The images, reduced data products, and derived data products from the Pan-STARRS1 surveys are available to the community from the Mikulski Archive for Space Telescopes (MAST) at STScI.

Subfields: Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/c4a736c4e6745a4a7ae9534923dd10c2cda81fb1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

In Atomic and Molecular Physics, and Optics

In Instrumentation

Citations in the corpus

J-GEM observations of an electromagnetic counterpart to the neutron star merger GW170817 (2017, methodology): “0 (Monet et al. 2003), while the PanSTARRS catalog (Chambers et al. 2016) was used for the HSC calibration because it is a standard catalog for the HSC reduction.”
Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1 (2019, methodology): “After consolidating spatially coincident peaks at different distance moduli, all peaks with Poisson significance SIG > 5.5σ are considered seeds for subsequent analysis. simple has a high significance ceiling 6 https://github.com/DarkEnergySurvey/simple 7 Our search is less sensitive to systems at l”
Streams, Substructures, and the Early History of the Milky Way (2020, background): “Relatively deep wide-field photometric surveys such as SDSS (York et al. 2000) and PanSTARRS13 (Chambers et al. 2016), and DES14 (Abbott et al. 2018) more recently, have revealed large overdensities on the sky and many narrow streams (Bernard et al. 2016, Shipp et al. 2018).”
ATLAS: A High-cadence All-sky Survey System (2018, background): “The ambitious Pan-STARRS1 survey (PS1; Chambers et al. 2016) has mapped 3π steradians of the sky (30,000 square degrees) in 6 wavebands and is having a major impact—not only in transients and moving objects (Hsieh et al. 2012; Rest et al. 2014) but from low mass stars (Liu et al. 2013), through…”
The ASAS-SN catalogue of variable stars I: The Serendipitous Survey (2018, background): “Modern surveys such as ASAS (Pojmanski 2002), the Optical Gravitational Lensing Experiment (OGLE; Udalski 2003), the Northern Sky Variability Survey (NSVS; Woźniak et al. 2004), MACHO (Alcock et al. 1997), EROS (Derue et al. 2002), Pan-STARRS1 (Chambers et al. 2016), the Palomar Transient Factory (”
The search for failed supernovae with the Large Binocular Telescope: confirmation of a disappearing star (2016, methodology): “Calibrating the r and i band data with the Pan-STARRS PS1 catalogs (Chambers et al. 2016) and the B and V band data by bootstrapping from LBT B and V band photometry, we measure B = 23.3±0.1, r = 22.0 ± 0.1, and i = 21.4 ± 0.1 on 10/12 June 1999 and V = 22.3± 0.1 and i = 21.6± 0.1 on 12 August 2002.”
Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for Their Progenitors (2020, methodology): “0941−130116.004 (see Figure 1), which was previously cataloged by the Pan-STARRS (Chambers et al. 2016) and the VISTA (Cross et al. 2012) surveys.”
Testing the nature of dark compact objects: a status report (2019, methodology): “Such an emission has been ruled out by Pan-STARRS 3π survey [448] at 99.”
The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. VII. Properties of the Host Galaxy and Constraints on the Merger Timescale (2017, methodology): “For optical data we used deep grizy stacks from the Pan-STARRS1 3π survey (Chambers et al. 2016; Waters et al. 2016) and performed photometry using SExtractor (Bertin & Arnouts 1996).”
The Most Luminous Supernovae (2018, methodology): “…sky surveys providing samples of SLSNe: PTF: The Palomar Transient Factory; Law et al. (2009) PS1-MDS: The PanSTARRS1 Medium Deep Survey (PS1 MDS); Chambers et al. (2016) TSS: The Texas Supernova Survey (TSS); Quimby et al. (2013) SNLS: The Supernova Legacy Survey (SNLS); Prajs et al. (2017) De…”
A MegaCam Survey of Outer Halo Satellites. III. Photometric and Structural Parameters (2018, background): “…large-scale density fluctuations, these surveys (most notably the Sloan Digital Sky Survey, Pan-STARRS and the Dark Energy Survey; York et al. 2000; Chambers et al. 2016; Diehl et al. 2014) have led to the discovery of more than 50 satellites since 2000: i.e., roughly two thirds of all outer halo…”
The Zwicky Transient Facility: Data Processing, Products, and Archive (2018, methodology): “Photometric calibration is performed against a filtered set of calibrator sources selected from the Pan-STARRS1 DR1 (PS1; Chambers et al. 2016) MeanObject database table (Flewelling et al. 2016).”
The ATLAS All-Sky Stellar Reference Catalog (2018, methodology): “We initially started calibrating ATLAS data with Gaia Data Release 1 (DR1; Gaia Collaboration et al. 2016), Pan-STARRS Data Release 1 (DR1; Chambers et al. 2016; Magnier et al. 2016c), and the AAVSO Photometric All Sky Survey (APASS) Data Release 9 (DR9; Henden et al. 2016), but a number of issues…”
A compendium of distances to molecular clouds in the Star Formation Handbook (2020, methodology): “For sightlines above a declination δ = −30◦, we use optical point spread function (PSF) photometry from the PanSTARRS1 survey (Magnier et al. 2016; Chambers et al. 2016) and PSF near-infrared photometry from the 2MASS survey (Skrutskie et al. 2006).”