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Article overview
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k-Means Aperture Optimization Applied to Kepler K2 Time Series Photometry of Titan | | Alex H. Parker
; Sarah M. Hörst
; Erin L. Ryan
; Carly J. A Howett
; | | Date: |
10 Jun 2019 | | Abstract: | Motivated by the Kepler K2 time series of Titan, we present an aperture
optimization technique for extracting photometry of saturated moving targets
with high temporally- and spatially-varying backgrounds. Our approach uses
$k$-means clustering to identify interleaved families of images with similar
Point-Spread Function and saturation properties, optimizes apertures for each
family independently, then merges the time series through a normalization
procedure. By applying $k$-means aperture optimization to the K2 Titan data, we
achieve $leq$0.33% photometric scatter in spite of background levels varying
from 15% to 60% of the target’s flux. We find no compelling evidence for
signals attributable to atmospheric variation on the timescales sampled by
these observations. We explore other potential applications of the $k$-means
aperture optimization technique, including testing its performance on a
saturated K2 eclipsing binary star. We conclude with a discussion of the
potential for future continuous high-precision photometry campaigns for
revealing the dynamical properties of Titan’s atmosphere. | | Source: | arXiv, 1906.4220 | | Services: | Forum | Review | PDF | Favorites | |
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