Snapshot Phase C urves

7
Snapshot Phase Curves Krick, Ingalls, Carey, Grillmair, IRAC Team

description

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. - PowerPoint PPT Presentation

Transcript of Snapshot Phase C urves

Page 1: Snapshot Phase  C urves

Snapshot Phase CurvesKrick, Ingalls, Carey, Grillmair,IRAC Team

Page 2: Snapshot Phase  C urves

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?

Page 3: Snapshot Phase  C urves

Preliminary Results - raw

Page 4: Snapshot Phase  C urves

Preliminary Results - corrected

Page 5: Snapshot Phase  C urves

Preliminary Results – fit

Page 6: Snapshot Phase  C urves

ChallengesGain 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

Page 7: Snapshot Phase  C urves

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

I. Short talks about warm data reductionII. Data challenge

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