Simulations show Plato can recover relativistic photometric signatures of supermassive black hole binaries in bright quasars (G≤18) via Bayesian inference on mock light curves.
The PLATO Input Catalogue of targets (tPIC) for the first Long Pointing Field
3 Pith papers cite this work. Polarity classification is still indexing.
abstract
The ESA PLAnetary Transits and Oscillations of stars (PLATO) mission is designed to detect terrestrial planets in the habitable zones of solar-type stars. Owing to telemetry constraints, the selection of PLATO targets must be performed in advance. In this paper, we present the first public release of the PLATO Input Catalogue of targets (tPIC2.2), which provides the list of stars that will be observed during the PLATO first Long-duration Observation Phase field at South (LOPS2) as part of its core science program. We exploit astrometric and photometric data from Gaia Data Release 3 (DR3), together with three-dimensional maps of the local interstellar medium, to identify stars belonging to the PLATO stellar samples as from mission requirements. The tPIC comprises 217,741 stars, including 202,315 FGK dwarfs and subgiants, 15,037 M dwarfs and 789 known planet host stars. The median distances of the samples are 512 pc for FGK stars and 133 pc for M dwarfs. We estimate interstellar reddening for almost all targets and develop an algorithm to infer fundamental stellar parameters (effective temperature, radius, and mass) in an homogeneous way from astrometric and photometric observables. The tPIC fulfills all the science requirements of the PLATO mission. The tPIC also includes a list of stars that host known exoplanets (confirmed or still candidate), located within the LOPS2 field.
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Machine learning classification of TESS data for 6 million stars in the LOPS2 field identifies 28% as candidate variables after filtering out 72% instrumental signals, producing one of the largest automated variability catalogs.
The paper presents quantitative metrics and thresholds for selecting the Prime Sample of 15,000 stars in the PLATO LOPS2 field to enable ground-based follow-up of exoplanet candidates.
citing papers explorer
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Plato's view on supermassive black hole binaries: Exploring the faint limit of ESA's Plato space mission
Simulations show Plato can recover relativistic photometric signatures of supermassive black hole binaries in bright quasars (G≤18) via Bayesian inference on mock light curves.
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Variability classification of TESS targets in LOPS2, the first long-term pointing field of PLATO. Version 1 of the public variability catalogue
Machine learning classification of TESS data for 6 million stars in the LOPS2 field identifies 28% as candidate variables after filtering out 72% instrumental signals, producing one of the largest automated variability catalogs.
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The PLATO field selection process III. Selection of the Prime Sample for the LOPS2 field
The paper presents quantitative metrics and thresholds for selecting the Prime Sample of 15,000 stars in the PLATO LOPS2 field to enable ground-based follow-up of exoplanet candidates.