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Published December 1, 2015 | Published + Submitted
Journal Article Open

Spitzer IRAC Photometry for Time Series in Crowded Fields

Abstract

We develop a new photometry algorithm that is optimized for the Infrared Array Camera (IRAC) Spitzer time series in crowded fields and that is particularly adapted to faint or heavily blended targets. We apply this to the 170 targets from the 2015 Spitzer microlensing campaign and present the results of three variants of this algorithm in an online catalog. We present detailed accounts of the application of this algorithm to two difficult cases, one very faint and the other very crowded. Several of Spitzer's instrumental characteristics that drive the specific features of this algorithm are shared by Kepler and WFIRST, implying that these features may prove to be a useful starting point for algorithms designed for microlensing campaigns by these other missions.

Additional Information

© 2015 The American Astronomical Society. Received 2015 August 31; accepted 2015 October 13; published 2015 November 19. We thank J. Ingalls for a useful discussion about PRF fitting with IRAC data. Work by S.C.N., A.G., S.C., J.C.Y., and W.Z. was supported by JPL grant 1500811. Work by Y.S. was supported by an appointment to the NASA Postdoctoral Program at the Jet Propulsion Laboratory, administered by Oak Ridge Associated Universities through a contract with NASA. Work by J.C.Y. was performed under contract with the California Institute of Technology (Caltech)/Jet Propulsion Laboratory (JPL) funded by NASA through the Sagan Fellowship Program executed by the NASA Exoplanet Science Institute. This work is based (in part) on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. Support for this work was provided by NASA through an award issued by JPL/Caltech. The OGLE project has received funding from the National Science Centre, Poland, grant MAESTRO 2014/14/A/ST9/00121 to AU.

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Published - Novati_2015.pdf

Submitted - 1509.00037v2.pdf

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Created:
August 20, 2023
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October 25, 2023