Spitzer IRAC Photometry for Time Series in Crowded Fields

December 2015 • 2015ApJ...814...92C

Authors • Calchi Novati, S. • Gould, A. • Yee, J. C. • Beichman, C. • Bryden, G. • Carey, S. • Fausnaugh, M. • Gaudi, B. S. • Henderson, C. B. • Pogge, R. W. • Shvartzvald, Y. • Wibking, B. • Zhu, W. • Spitzer Team • Udalski, A. • Poleski, R. • Pawlak, M. • Szymański, M. K. • Skowron, J. • Mróz, P. • Kozłowski, S. • Wyrzykowski, Ł. • Pietrukowicz, P. • Pietrzyński, G. • Soszyński, I. • Ulaczyk, K. • OGLE Group

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.


IPAC Authors


Sebastiano Calchi Novati

Associate Scientist

Sean Carey

Senior Scientist