Extracting Microlensing Signals from K2 Campaign 9
Article
Article Title | Extracting Microlensing Signals from K2 Campaign 9 |
---|---|
ERA Journal ID | 1082 |
Article Category | Article |
Authors | Zhu, Wei (Author), Huang, C. X. (Author), Udalski, A. (Author), Soares-Furtado, M. (Author), Poleski, R. (Author), Skowron, J. (Author), Mroz, P. (Author), Szymanski, M. K. (Author), Soszynski, I. (Author), Pietrukowicz, P. (Author), Kozlowski, S. (Author), Ulaczyk, K. (Author) and Pawlak, M. (Author) |
Journal Title | Publications of the Astronomical Society of the Pacific |
Journal Citation | 129 (980), pp. 1-11 |
Article Number | 104501 |
Number of Pages | 11 |
Year | 2017 |
Publisher | IOP Publishing |
Place of Publication | United States |
ISSN | 0004-6280 |
1538-3873 | |
Digital Object Identifier (DOI) | https://doi.org/10.1088/1538-3873/aa7dd7 |
Web Address (URL) | https://iopscience.iop.org/article/10.1088/1538-3873/aa7dd7/meta |
Abstract | The reduction of the K2ʼs Campaign 9 (K2C9) microlensing data is challenging mostly because of the very crowded field and the unstable pointing of the spacecraft. In this work, we present the first method that can extract microlensing signals from this K2C9 data product. The raw light curves and the astrometric solutions are first derived using the techniques from Soares-Furtado et al. and Huang et al. for K2 dense field photometry. We then minimize and remove the systematic effect by performing simultaneous modeling with the microlensing signal. We also derive precise (Kp - I) versus (V - I) color-color relations that can predict the microlensing source flux in the Kepler bandpass. By implementing the color-color relation in the light curve modeling, we show that the microlensing parameters can be better constrained. Finally, we use two example microlensing events, OGLE-2016-BLG-0980 and OGLE-2016-BLG-0940, to test our method. |
Keywords | Gravitational lensing: Micro; Methods: Data analysis; Planets and satellites: Detection; Techniques: Photometric; Astrophysics - Instrumentation and Methods for Astrophysics; Astrophysics - Earth and Planetary Astrophysics |
ANZSRC Field of Research 2020 | 510109. Stellar astronomy and planetary systems |
Byline Affiliations | Ohio State University, United States |
Massachusetts Institute of Technology, United States | |
University of Warsaw, Poland | |
Princeton University, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q722w/extracting-microlensing-signals-from-k2-campaign-9
61
total views3
total downloads0
views this month0
downloads this month