AstroSkyFlow generates simulated time-series astronomical images with realistic noise and variability, outperforming SkyMaker in noise and PSF reproduction while recovering injected signals such as exoplanet transits and asteroid trails.
The Derivation, Properties and Value of Kepler's Combined Differential Photometric Precision
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
The Kepler Mission is searching for Earth-size planets orbiting solar-like stars by simultaneously observing >160,000 stars to detect sequences of transit events in the photometric light curves. The Combined Differential Photometric Precision (CDPP) is the metric that defines the ease with which these weak terrestrial transit signatures can be detected. An understanding of CDPP is invaluable for evaluating the completeness of the Kepler survey and inferring the underlying planet population. This paper describes how the Kepler CDPP is calculated, and introduces tables of rms CDPP on a per-target basis for 3-, 6-, and 12-hour transit durations, which are now available for all Kepler observations. Quarter 3 is the first typical set of observations at the nominal length and completeness for a quarter, from 2009 September 18 to 2009 December 16, and we examine the properties of the rms CDPP distribution for this data set. Finally, we describe how to employ CDPP to calculate target completeness, an important use case.
fields
astro-ph.IM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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AstroSkyFlow: an astronomical sky image flow simulator for time domain survey validation and machine learning
AstroSkyFlow generates simulated time-series astronomical images with realistic noise and variability, outperforming SkyMaker in noise and PSF reproduction while recovering injected signals such as exoplanet transits and asteroid trails.