A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-time Pipeline
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[1] R. Kron. Photometry of a complete sample of faint galaxies. , 1980 .
[2] A. John Mallinckrodt,et al. Data Reduction and Error Analysis for the Physical Sciences , 1993 .
[3] E. Bertin,et al. SExtractor: Software for source extraction , 1996 .
[4] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[5] E. al.,et al. The Sloan Digital Sky Survey: Technical summary , 2000, astro-ph/0006396.
[6] Naoki Yasuda,et al. Galaxy Number Counts from the Sloan Digital Sky Survey Commissioning Data , 2001, astro-ph/0105545.
[7] V. Narayanan,et al. Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample , 2001, astro-ph/0108153.
[8] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[9] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[10] Walter A. Siegmund,et al. Design of the Pan‐STARRS telescopes , 2004 .
[11] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[12] A. Rau,et al. The Nature of the Deep Lens Survey Fast Transients , 2006, astro-ph/0604343.
[13] Fnal,et al. The Field of Streams: Sagittarius and its Siblings , 2006, astro-ph/0605025.
[14] Cea,et al. Weak Gravitational Lensing with COSMOS: Galaxy Selection and Shape Measurements , 2007, astro-ph/0702359.
[15] John D. Hunter,et al. Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.
[16] Ernest E. Croner,et al. The Palomar Transient Factory: System Overview, Performance, and First Results , 2009, 0906.5350.
[17] Oxford,et al. Exploring the Optical Transient Sky with the Palomar Transient Factory , 2009, 0906.5355.
[18] S. Bamford,et al. Galaxy and Mass Assembly (GAMA): ugriz galaxy luminosity functions , 2011, 1111.0166.
[19] E. C. Vasconcellos,et al. DECISION TREE CLASSIFIERS FOR STAR/GALAXY SEPARATION , 2010, 1011.1951.
[20] Adam D. Myers,et al. Ameliorating systematic uncertainties in the angular clustering of galaxies: a study using the SDSS-III , 2011, 1105.2320.
[21] A. M. S. Oderberg,et al. Ultra-Luminous Supernovae as a New Probe of the Interstellar Medium in Distant Galaxies , 2012 .
[22] T. Grav,et al. PHOTOMETRIC CALIBRATION OF THE FIRST 1.5 YEARS OF THE PAN-STARRS1 SURVEY , 2012, 1201.2208.
[23] Nathaniel R. Butler,et al. CONSTRUCTION OF A CALIBRATED PROBABILISTIC CLASSIFICATION CATALOG: APPLICATION TO 50k VARIABLE SOURCES IN THE ALL-SKY AUTOMATED SURVEY , 2012, 1204.4180.
[24] R. J. Wainscoat,et al. THE Pan-STARRS1 PHOTOMETRIC SYSTEM , 2012, 1203.0297.
[25] S. Smartt,et al. ULTRALUMINOUS SUPERNOVAE AS A NEW PROBE OF THE INTERSTELLAR MEDIUM IN DISTANT GALAXIES , 2012, 1206.4050.
[26] Adam D. Myers,et al. THE SDSS-III BARYON OSCILLATION SPECTROSCOPIC SURVEY: QUASAR TARGET SELECTION FOR DATA RELEASE NINE , 2011, 1105.0606.
[27] Adam D. Myers,et al. Sloan Digital Sky Survey III photometric quasar clustering: probing the initial conditions of the Universe , 2013, 1311.2597.
[28] Paul M. Brunet,et al. The Gaia mission , 2013, 1303.0303.
[29] Prasanth H. Nair,et al. Astropy: A community Python package for astronomy , 2013, 1307.6212.
[30] M. Wainwright,et al. Using machine learning for discovery in synoptic survey imaging data , 2012, 1209.3775.
[31] R. Kotak,et al. Machine learning for transient discovery in Pan-STARRS1 difference imaging , 2015, 1501.05470.
[32] R. Giovanelli,et al. THE OPTICAL LUMINOSITY FUNCTION OF VOID GALAXIES IN THE SDSS AND ALFALFA SURVEYS , 2015, 1508.04199.
[33] University of Cambridge,et al. The VLT Survey Telescope ATLAS , 2015, 1502.05432.
[34] Eugene Magnier,et al. A THREE-DIMENSIONAL MAP OF MILKY WAY DUST , 2015, 1507.01005.
[35] B. Yanny,et al. Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey , 2013, 1306.5236.
[36] R. C. Wolf,et al. AUTOMATED TRANSIENT IDENTIFICATION IN THE DARK ENERGY SURVEY , 2015, 1504.02936.
[37] P. A. Price,et al. The Pan-STARRS Data-processing System , 2016, The Astrophysical Journal Supplement Series.
[38] P. A. Price,et al. Pan-STARRS Pixel Analysis: Source Detection and Characterization , 2016, The Astrophysical Journal Supplement Series.
[39] Umaa Rebbapragada,et al. iPTF SEARCH FOR AN OPTICAL COUNTERPART TO GRAVITATIONAL-WAVE TRANSIENT GW150914 , 2016, 1602.08764.
[40] Gaia Collaboration,et al. The Gaia mission , 2016, 1609.04153.
[41] P. Marrese,et al. Gaia Data Release 1. Cross-match with external catalogues - Algorithm and results , 2017, 1710.06739.
[42] David Blair,et al. Gravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A , 2017, 1710.05834.
[43] L. S. Collaboration,et al. Gravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A , 2017 .
[44] Caltech,et al. PREPARING FOR ADVANCED LIGO: A STAR–GALAXY SEPARATION CATALOG FOR THE PALOMAR TRANSIENT FACTORY , 2017, 1703.07356.
[45] D. Gerdes,et al. How Many Kilonovae Can Be Found in Past, Present, and Future Survey Data Sets? , 2017, 1710.05845.
[46] David W. Hogg,et al. Using machine learning to explore the long-term evolution of GRS 1915+105 , 2017 .
[47] T. A. Lister,et al. Gaia Data Release 2. Summary of the contents and survey properties , 2018, 1804.09365.
[48] J. J. González-Vidal,et al. Gaia Data Release 2 , 2018, Astronomy & Astrophysics.
[49] P. J. Richards,et al. Gaia Data Release 2 , 2018, Astronomy & Astrophysics.
[50] J. Frieman,et al. Star-galaxy classification in the Dark Energy Survey Y1 dataset , 2018, Monthly Notices of the Royal Astronomical Society.