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Wants/Needs/Strategies for Observation Design Pipeline Processing Data Products User Tools Jessica Krick IRAC Instrument Support Team Spitzer Science Center.

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Presentation on theme: "Wants/Needs/Strategies for Observation Design Pipeline Processing Data Products User Tools Jessica Krick IRAC Instrument Support Team Spitzer Science Center."— Presentation transcript:

1 Wants/Needs/Strategies for Observation Design Pipeline Processing Data Products User Tools Jessica Krick IRAC Instrument Support Team Spitzer Science Center

2 Observation Design Flexibility vs. Inflexibility – Flexibility to design modes/templates you might not think of before launch – But….not infinite flexibility because then calibration time becomes a burden

3 Pipeline Processing Functions that a user cannot do themselves (calibration data required, technical knowledge required) Universal for all users and all science Provide all calibration and data products

4 Data Products Calibrated data is the goal Telemetry is in practice not useful for users – Too coarsely sampled on time and sensitivity – Is useful for optimizing operations Want best possible data characterizing pointing performance (preferably not from science data) jitter/drift; repeatable pointing; detector responsivity; photometric stability; persistent images; charge trapping Biggest impact will come from doing this early in the mission.

5 User Tools Analysis specific to exoplanets Does the Science Center provide analysis tools (light curves/spectra)? – Large investment of resources, will users do this themselves anyway? – Potentially small number of targets Spitzer (IRAC) has designed a website specific to exoplanet science - http://irachpp.spitzer.caltech.edu http://irachpp.spitzer.caltech.edu

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7 User Tools Data Challenges – Best practices for data reduction – Repeatability and reliability Code Repository Close the feedback loop – encourage users to influence process Be flexible to make changes

8 Extra Slides

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10 Photometric Stability as a Function of Time

11 Additional Questions It might be nice to have a repository of which teams have simulated data for which the public could start writing reduction pipelines. – Eventually need some sort of estimate of the uncertainty in these simulations How to reconcile proprietary data with getting the best science? – Especuially with timescales mentioned this morning Observation planning – how to figure out which mode on which instrument I want to use ? Are there tools that could be built to help “generic” observers? Theorists? – Maybe it would help to hear how the GTO teams made their observations. Data products: Is it possible/desirable to have the history of the detector (aka someone else’s proprietary data) to track the persistent images?


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