Application of compressive sensing for gravitational microlensing events
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Author/Creator ORCID
Date
2022-02-18
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Citation of Original Publication
Asmita Korde-Patel, Richard K. Barry, Tinoosh Mohsenin, "Application of compressive sensing for gravitational microlensing events," J. Astron. Telesc. Instrum. Syst. 8(1) 018002 (18 February 2022) https://doi.org/10.1117/1.JATIS.8.1.018002
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©2022 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Subjects
Abstract
Compressive sensing (CS) is a unique mathematical technique for simultaneous
data acquisition and compression. This technique is particularly apt for time-series photometric
measurements; we apply CS to time-series photometric measurements specifically obtained due
to gravitational microlensing events. We show the error sensitivity in detecting microlensing
event parameters through simulation modeling. Particularly, we show the relation of both the
amount of error and its impact on the microlensing parameters of interest. We derive statistical
error bounds to apply those as a baseline for analyzing the effectiveness of CS application. Our
results of single and binary microlensing events conclude that we can obtain error less than 1%
over a three-pixel radius of the center of the microlensing star by using 25% Nyquist rate measurements. © 2022 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.JATIS.8
.1.018002]