TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Set-Up and Application to the Kepler Q9 Data

Abstract

The NASA Transiting Exoplanet Survey Satellite (TESS) is observing tens of millions of stars with time spans ranging from $\sim$ 27 days to about 1 year of continuous observations. This vast amount of data contains a wealth of information for variability, exoplanet, and stellar astrophysics studies but requires a number of processing steps before it can be fully utilized. In order to efficiently process all the TESS data and make it available to the wider scientific community, the TESS Data for Asteroseismology working group, as part of the TESS Asteroseismic Science Consortium, has created an automated open-source processing pipeline to produce light curves corrected for systematics from the short- and long-cadence raw photometry data and to classify these according to stellar variability type. We will process all stars down to a TESS magnitude of 15. This paper is the next in a series detailing how the pipeline works. Here, we present our methodology for the automatic variability classification of TESS photometry using an ensemble of supervised learners that are combined into a metaclassifier. We successfully validate our method using a carefully constructed labelled sample of Kepler Q9 light curves with a 27.4 days time span mimicking single-sector TESS observations, on which we obtain an overall accuracy of 94.9%. We demonstrate that our methodology can successfully classify stars outside of our labeled sample by applying it to all $\sim$ 167,000 stars observed in Q9 of the Kepler space mission.

arXiv comment35 pages, 17 figures, 6 tables, Accepted for publication in The Astronomical Journal

References in corpus (66)

• Scikit-learn: Machine Learning in Python
• XGBoost: A Scalable Tree Boosting System
• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Array Programming with NumPy
• Astropy: A Community Python Package for Astronomy
• The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
• The Gaia mission
• The Transiting Exoplanet Survey Satellite
• The K2 Mission: Characterization and Early results
• The PLATO 2.0 Mission
• The Revised TESS Input Catalog and Candidate Target List
• The CoRoT satellite in flight : description and performance
• Rotation Periods of 34,030 Kepler Main-Sequence Stars: The Full Autocorrelation Sample
• Kepler Eclipsing Binary Stars. I. Catalog and Principal Characterization of 1879 Eclipsing Binaries in the First Data Release
• Kepler Eclipsing Binary Stars. VII. The Catalog of Eclipsing Binaries Found in the Entire Kepler Data-Set
• Kepler Eclipsing Binary Stars. II. 2165 Eclipsing Binaries in the Second Data Release
• On Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data
• The Second APOKASC Catalog: The Empirical Approach
• Rotation and magnetism of Kepler pulsating solar-like stars. Towards asteroseismically calibrated age-rotation relations
• Rotation periods of 12 000 main-sequence Kepler stars: Dependence on stellar spectral type and comparison with v sin i observations
• The interior rotation of a sample of gamma Doradus stars from ensemble modelling of their gravity mode period spacings
• Automated supervised classification of variable stars I. Methodology
• Kepler Eclipsing Binary Stars. III. Classification of Kepler Eclipsing Binary Light Curves with Locally Linear Embedding
• Asteroseismology of solar-type stars
• Giant star seismology
• General Cosmography Model with Spatial Curvature
• Solar-like oscillations in eta Boo
• Amplitude modulation in $\delta$ Sct stars: statistics from an ensemble study of Kepler targets
• Signatures of internal rotation discovered in the Kepler data of five slowly pulsating B stars
• Surface rotation and photometric activity for Kepler targets I. M and K main-sequence stars
• Flare Statistics for Young Stars from a Convolutional Neural Network Analysis of $\text{TESS}$ Data
• Gaia Data Release 2: Variable stars in the colour-absolute magnitude diagram
• The first view of $\delta$ Scuti and $\gamma$ Doradus stars with the TESS mission
• Global stellar variability study in the field-of-view of the Kepler satellite
• Gravito-inertial and pressure modes detected in the B3 IV CoRoT target HD 43317
• K2 Variable Catalogue II: Machine Learning Classification of Variable Stars and Eclipsing Binaries in K2 Fields 0-4
• Robust Machine Learning Applied to Astronomical Datasets I: Star-Galaxy Classification of the SDSS DR3 Using Decision Trees
• CoRoT's view of newly discovered B-star pulsators: results for 358 candidate B pulsators from the initial run's exoplanet field data
• Detecting non-uniform period spacings in the Kepler photometry of gamma Doradus stars: methodology and case studies
• A Package for the Automated Classification of Periodic Variable Stars
• K2 Variable Catalogue: Variable Stars and Eclipsing Binaries in K2 Campaigns 1 and 0
• Detection of a large sample of Gamma Dor stars from Kepler space photometry and high-resolution ground-based spectroscopy
• Lifetimes and Emergence/Decay Rates of Star Spots on Solar-type Stars Estimated by Kepler Data in Comparison with Those of Sunspots
• Gravity-mode period spacings and near-core rotation rates of 611 $\gamma$ Doradus stars with \textit{Kepler}
• The automated classification of astronomical lightcurves using Kohonen self-organising maps
• Automated classification of variable stars for ASAS 1-2 data
• Asteroseismology of luminous red giants with Kepler I: Long Period Variables with radial and non-radial modes
• Kepler Eclipsing Binary Stars. VIII. Identification of False Positive Eclipsing Binaries and Re-extraction of New Light Curves
• On Neural Architectures for Astronomical Time-series Classification with Application to Variable Stars
• Automated supervised classification of variable stars II. Application to the OGLE database
• The Kepler view of magnetic chemically peculiar stars
• The Kepler Cepheid V1154 Cyg revisited: light curve modulation and detection of granulation
• Detecting Solar-like Oscillations in Red Giants with Deep Learning
• FliPer: A global measure of power density to estimate surface gravities of main-sequence Solar-like stars and red giants
• Recipes for bolometric corrections and Gaia luminosities of B-type stars: Application to an asteroseismic sample
• Unsupervised Classification of Variable Stars
• Long period Ap stars discovered with TESS data
• Cepheid investigations using the Kepler space telescope
• Amplitude variations of modulated RV Tauri stars support the dust obscuration model of the RVb phenomenon
• Evidence for Binarity and Possible Disk Obscuration in Kepler Observations of the Pulsating RV Tau Variable DF Cygni
• The spectroscopic binaries RV Tauri and DF Cygni
• Clumpiness: Time-domain classification of red-giant evolutionary states
• Chaotic dynamics in the pulsation of DF Cygni, as observed by Kepler
• Release note: Massive peak bagging of red giants in the Kepler field
• High-precision photometry with the WIRE satellite
• General classification of light curves using extreme boosting

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• YOUNG Star detrending for Transiting Exoplanet Recovery (YOUNGSTER) II: Using Self-Organising Maps to explore young star variability in Sectors 1-13 of TESS data
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• FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
• High-cadence stellar variability studies of RR Lyrae stars with DECam: New multi-band templates
• Heartbeat Stars Recognition Based on Recurrent Neural Networks: Method and Validation
• Automated all-sky detection of γ Doradus / δ Scuti hybrids in TESS data from positive unlabelled (PU) learning
• Pushing the Limit of Asteroseismic Detection for Cool Dwarfs using TESS and Deep Learning