PS1-STRM: Neural network source classification and photometric redshift catalogue for PS1 $3\pi$ DR1

Abstract

The Pan-STARRS1 (PS1) $3\pi$ survey is a comprehensive optical imaging survey of three quarters of the sky in the $grizy$ broad-band photometric filters. We present the methodology used in assembling the source classification and photometric redshift (photo-z) catalogue for PS1 $3\pi$ Data Release 1, titled Pan-STARRS1 Source Types and Redshifts with Machine learning (PS1-STRM). For both main data products, we use neural network architectures, trained on a compilation of public spectroscopic measurements that has been cross-matched with PS1 sources. We quantify the parameter space coverage of our training data set, and flag extrapolation using self-organizing maps. We perform a Monte-Carlo sampling of the photometry to estimate photo-z uncertainty. The final catalogue contains $2,902,054,648$ objects. On our validation data set, for non-extrapolated sources, we achieve an overall classification accuracy of $98.1\%$ for galaxies, $97.8\%$ for stars, and $96.6\%$ for quasars. Regarding the galaxy photo-z estimation, we attain an overall bias of $⟨\Delta z_{\mathrm{norm}}⟩=0.0005$, a standard deviation of $\sigma (\Delta z_{\mathrm{norm}})=0.0322$, a median absolute deviation of $\mathrm{MAD}(\Delta z_{\mathrm{norm}})=0.0161$, and an outlier fraction of $O=1.89\%$. The catalogue will be made available as a high-level science product via the Mikulski Archive for Space Telescopes at https://doi.org/10.17909//t9-rnk7-gr88.

12 pages, 6 figures. Submitted to MNRAS

References in corpus (56)

• Adam: A Method for Stochastic Optimization
• The Sloan Digital Sky Survey: Technical Summary
• HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
• EAZY: A Fast, Public Photometric Redshift Code
• Accurate photometric redshifts for the CFHT Legacy Survey calibrated using the VIMOS VLT Deep Survey
• Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe
• Bayesian photometric redshift estimation
• The Pan-STARRS1 Photometric System
• Planck 2013 results. XI. All-sky model of thermal dust emission
• The DEEP2 Galaxy Redshift Survey: Design, Observations, Data Reduction, and Redshifts
• The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment
• Spectral Classification and Redshift Measurement for the SDSS-III Baryon Oscillation Spectroscopic Survey
• Galaxies in the Hubble Ultra Deep Field: I. Detection, Multiband Photometry, Photometric Redshifts, and Morphology
• The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35016 galaxies and AGN out to z~6.7 selected with 17.5<=i_{AB}<=24.7
• A Critical Assessment of Photometric Redshift Methods: A CANDELS Investigation
• Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: II. ~1,000,000 Quasars from Data Release Six
• The number density and mass density of star-forming and quiescent galaxies at 0.4 < z < 2.2
• Pan-STARRS Photometric and Astrometric Calibration
• Measuring the Redshift Evolution of Clustering: the Hubble Deep Field South
• Analysis of Systematic Effects and Statistical Uncertainties in Angular Clustering of Galaxies from Early SDSS Data
• PHAT: PHoto-z Accuracy Testing
• The Optical-Infrared Extinction Curve and its Variation in the Milky Way
• The VIMOS Public Extragalactic Redshift Survey (VIPERS). Full spectroscopic data and auxiliary information release (PDR-2)
• Photometric Redshifts for the SDSS Early Data Release
• Mapping the Galaxy Color-Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys
• Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies
• Photometric redshifts for the SDSS Data Release 12
• The Sloan Digital Sky Survey Quasar Catalog I. Early Data Release
• The Pan-STARRS Data Processing System
• Pan-STARRS Pixel Processing: Detrending, Warping, Stacking
• A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
• Selecting Quasars by their Intrinsic Variability
• Probabilistic Cross-Identification of Astronomical Sources
• Interstellar Extinction Curve Variations Toward the Inner Milky Way: A Challenge to Observational Cosmology
• ArborZ: Photometric Redshifts Using Boosted Decision Trees
• Pan-STARRS Pixel Analysis : Source Detection and Characterization
• The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Analysis and Data Release 2
• Estimating Photometric Redshifts Using Support Vector Machines
• A Map of Dust Reddening to 4.5 kpc from Pan-STARRS1
• MegaZ-LRG: A photometric redshift catalogue of one million SDSS Luminous Red Galaxies
• Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks
• A catalogue of photometric redshifts for the SDSS-DR9 galaxies
• On the realistic validation of photometric redshifts, or why Teddy will never be Happy
• Quasar candidate selection and photometric redshift estimation based on SDSS and UKIDSS data
• Extinction law in the range 0.4-4.8 $\mu$m and the 8620 $\mathring{A}$ DIB towards the stellar cluster Westerlund 1
• The WiggleZ Dark Energy Survey: Final Data Release and the Metallicity of UV-Luminous Galaxies
• A Hybrid Ensemble Learning Approach to Star-Galaxy Classification
• Aperture corrections for disk galaxy properties derived from the CALIFA survey. Balmer emission lines in spiral galaxies
• Photometric redshift estimation based on data mining with PhotoRApToR
• Constraining Dust Extinction Properties via the VVV Survey
• The Optical/Near-Infrared Extinction Law In Highly Reddened Regions
• Mapping the Interstellar Reddening and Extinction towards Baade's Window Using Minimum Light Colors of ab-type RR Lyrae Stars. Revelations from the De-reddened Color-Magnitude Diagrams
• Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies
• Photometric Biases in Modern Surveys
• Photo-z-SQL: integrated, flexible photometric redshift computation in a database
• Photometric redshifts for the CFHTLS-Wide

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