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SDSS-IV MaStar -- A Large and Comprehensive Empirical Stellar Spectral Library: First Release
Renbin Yan, Yanping Chen, Daniel Lazarz +45
We present the first release of the MaNGA Stellar Library (MaStar), which is a large, well-calibrated, high-quality empirical library covering the wavelength range of 3,622-10,354A…
Charge Diffusion Variations in Pan-STARRS\,1 CCDs
Eugene A. Magnier, J. L. Tonry, D. Finkbeiner +10
Thick back-illuminated deep-depletion CCDs have superior quantum efficiency over previous generations of thinned and traditional thick CCDs. As a result, they are being used for wi…
The Pan-STARRS1 Surveys
K. C. Chambers, E. A. Magnier, N. Metcalfe +123
Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the Steradian Survey and the Medium Deep Survey in 5 bands (). The mean 5 p…
Pan-STARRS Pixel Processing: Detrending, Warping, Stacking
C. Z. Waters, E. A. Magnier, P. A. Price +17
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 individua…
Pan-STARRS Pixel Analysis : Source Detection and Characterization
Eugene A. Magnier, W. E. Sweeney, K. C. Chambers +13
Over 3 billion astronomical objects have been detected in the more than 22 million orthogonal transfer CCD images obtained as part of the Pan-STARRS1 survey. Over 85 billion i…
The Pan-STARRS1 Database and Data Products
H. A. Flewelling, E. A. Magnier, K. C. Chambers +37
This paper describes the organization of the database and the catalog data products from the Pan-STARRS1 Steradian Survey. The catalog data products are available in the form…
Pan-STARRS Photometric and Astrometric Calibration
Eugene. A. Magnier, Edward. F. Schlafly, Douglas P. Finkbeiner +18
We present the details of the photometric and astrometric calibration of the Pan-STARRS1 Survey. The photometric goals were to reduce the systematic effects introduced by the…
The Pan-STARRS Data Processing System
Eugene A. Magnier, K. C. Chambers, H. A. Flewelling +14
The Pan-STARRS Data Processing System is responsible for the steps needed to downloaded, archive, and process all images obtained by the Pan-STARRS telescopes, including real-time…
A Global Astrometric Solution for Pan-STARRS referenced to ICRF2
C. T. Berghea, V. V. Makarov, J. Frouard +13
We describe development and application of a Global Astrometric Solution (GAS) to the problem of Pan-STARRS1 (PS1) astrometry. Current PS1 astrometry is based on differential astro…
The Detailed Science Case for the Maunakea Spectroscopic Explorer: the Composition and Dynamics of the Faint Universe
Alan McConnachie, Carine Babusiaux, Michael Balogh +173
MSE is an 11.25m aperture observatory with a 1.5 square degree field of view that will be fully dedicated to multi-object spectroscopy. More than 3200 fibres will feed spectrograph…
Of Genes and Machines: application of a combination of machine learning tools to astronomy datasets
S. Heinis, S. Kumar, S. Gezari +8
We apply a combination of a Genetic Algorithms (GA) and Support Vector Machines (SVM) machine learning algorithm to solve two important problems faced by the astronomical community…
Hypercalibration: A Pan-STARRS1-based recalibration of the Sloan Digital Sky Survey
Douglas P. Finkbeiner, Edward F. Schlafly, David J. Schlegel +15
We present a recalibration of the Sloan Digital Sky Survey (SDSS) photometry with new flat fields and zero points derived from Pan-STARRS1 (PS1). Using PSF photometry of 60 million…
Supercal: Cross-Calibration of Multiple Photometric Systems to Improve Cosmological Measurements with Type Ia Supernovae
D. Scolnic, S. Casertano, A. G. Riess +16
Current cosmological analyses which use Type Ia supernova (SN Ia) observations combine SN samples to expand the redshift range beyond that of a single sample and increase the overa…
Machine learning for transient discovery in Pan-STARRS1 difference imaging
D. E. Wright, S. J. Smartt, K. W. Smith +15
Efficient identification and follow-up of astronomical transients is hindered by the need for humans to manually select promising candidates from data streams that contain many fal…
Selection of Burst-like Transients and Stochastic Variables Using Multi-Band Image Differencing in the Pan-STARRS1 Medium-Deep Survey
S. Kumar, S. Gezari, S. Heinis +24
We present a novel method for the light-curve characterization of Pan-STARRS1 Medium Deep Survey (PS1 MDS) extragalactic sources into stochastic variables (SV) and burst-like (BL)…
The Pan-STARRS 1 Photometric Reference Ladder, Release 12.0
E. A. Magnier, E. Schlafly, D. Finkbeiner +11
As of 2012 Jan 21, the Pan-STARRS 1 3πSurvey has observed the 3/4 of the sky visible from Hawaii with a minimum of 2 and mean of 7.6 observations in 5 filters, g_p1, r_p1, i_p1, z_…
The Pan-STARRS Moving Object Processing System
Larry Denneau, Robert Jedicke, Tommy Grav +41
We describe the Pan-STARRS Moving Object Processing System (MOPS), a modern software package that produces automatic asteroid discoveries and identifications from catalogs of trans…
Design Differences between the Pan-STARRS PS1 and PS2 Telescopes
Jeffrey S. Morgan, Nicholas Kaiser, Vincent Moreau +2
The PS2 telescope is the second in an array of wide-field telescopes that is being built for the Panoramic-Survey Telescope and Rapid Response System (Pan-STARRS) on Haleakala. The…
The Pan-STARRS1 Photometric System
J. L. Tonry, C. W. Stubbs, K. R. Lykke +11
The Pan-STARRS1 survey is collecting multi-epoch, multi-color observations of the sky north of declination -30 deg to unprecedented depths. These data are being photometrically and…
Photometric Calibration of the First 1.5 Years of the Pan-STARRS1 Survey
E. F. Schlafly, D. P. Finkbeiner, M. Juric +14
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 decli…