Spitzer IRAC Photometry for Time Series in Crowded Fields
Abstract
We develop a new photometry algorithm that is optimized for time series in crowded fields and that is particularly adapted to faint and/or heavily blended targets. We apply this to the 170 targets from the 2015 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 's instrumental characteristics that drive the specific features of this algorithm are shared by and , implying that these features may prove to be a useful starting point for algorithms designed for microlensing campaigns by these other missions.
Cite
@article{arxiv.1509.00037,
title = {Spitzer IRAC Photometry for Time Series in Crowded Fields},
author = {S. Calchi Novati and A. Gould and J. C. Yee and C. Beichman and G. Bryden and S. Carey and M. Fausnaugh and B. S. Gaudi and C. B. Henderson and R. W. Pogge and Y. Shvartzvald and B. Wibking and W. Zhu and A. Udalski and R. Poleski and M. Pawlak and M. K. Szymański and J. Skowron and P. Mróz and S. Kozłowski and Ł. Wyrzykowski and P. Pietrukowicz and G. Pietrzyński and I. Soszyński and K. Ulaczyk},
journal= {arXiv preprint arXiv:1509.00037},
year = {2015}
}
Comments
accepted for publication in The Astrophysical Journal Supplement, online catalog available at http://www.astronomy.ohio-state.edu/Spitzer2015/