Recovering Phase Curves from Random Snapshot Observations
Explore the possibility of recovering phase curves with random snapshot observations, without having stability on long timescales. Preliminary results and challenges in time series data reduction with IRAC. Join discussions at upcoming events for more insights.
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Presentation Transcript
Snapshot Phase Curves Krick, Ingalls, Carey, Grillmair, IRAC Team
Snapcurves P80016 Suppose you don t have stability on long (day) timescales, but you think you have a well characterized instrument. Or you don t want to observe an entire phase Or can t observe an entire phase. Is it possible to recover a phase curve with random snapshot observations?
Challenges Gain as a function of position & undersampling Pmap data which is not the observation itself Residual non-linearity Is randomly observing possible? Assumes no changes in phase curve between phases
Time Series Data Reduction With IRAC: Identifying and Removing Sources of Correlated Noise Boston AAS splinter session Sunday June 1, 2014 1:00 5:30pm Short talks about warm data reduction Data challenge I. II. Please contact Sean Carey, Carl Grillmair, Jim Ingalls or Jessica Krick at the SSC for details
