Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-25T04:39:04.738Z Has data issue: false hasContentIssue false

Application of Compressive Sensing to Gravitational Microlensing Experiments

Published online by Cambridge University Press:  30 May 2017

Asmita Korde-Patel
Affiliation:
NASA Goddard Space Flight Center, Greenbelt, MD, USA University of Maryland, Baltimore County, Baltimore, MD, USA email: [email protected]
Richard K. Barry
Affiliation:
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Tinoosh Mohsenin
Affiliation:
University of Maryland, Baltimore County, Baltimore, MD, USA email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Compressive Sensing is an emerging technology for data compression and simultaneous data acquisition. This is an enabling technique for significant reduction in data bandwidth, and transmission power and hence, can greatly benefit space-flight instruments. We apply this process to detect exoplanets via gravitational microlensing. We experiment with various impact parameters that describe microlensing curves to determine the effectiveness and uncertainty caused by Compressive Sensing. Finally, we describe implications for space-flight missions.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

References

Eldar, Y. & Kutynoik, G. 2012, Compressed Sensing, Cambridge University Press Google Scholar
O’Donoghue, B., Chu, E., Parikh, N., & Boyd, S. 2016, Conic Optimization via Operator Splitting and Homogenous Self-Dual Embedding, J. Optim Theory Appl, 169: 10421068 Google Scholar
Seager, S. 2010, Exoplanets, The University of Arizona Press Google Scholar
Bramich, D. 2008, A new algorithm for difference image analysis, Monthly Notices of the Royal Astronomical Society: Letters 386.1: L77–L81Google Scholar