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Snapshot Phase C urves

Snapshot Phase C urves. 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 O r can’t observe an entire phase.

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Snapshot Phase C urves

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  1. Snapshot Phase Curves Krick, Ingalls, Carey, Grillmair, IRAC Team

  2. 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?

  3. Preliminary Results - raw

  4. Preliminary Results - corrected

  5. Preliminary Results – fit

  6. 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

  7. 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 Please contact Sean Carey, Carl Grillmair, Jim Ingalls or Jessica Krick at the SSC for details

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