Korde-Patel Asmita

Abstract Reference: 30178
Identifier: O9.1
Presentation: Oral communication
Key Theme: 1 Reduction and Analysis Algorithms for Large Databases and Vice-versa

Application of Compressive Sensing to Gravitational Microlensing Data and Implications for Miniaturized Space Observatories

Authors:
Korde-Patel Asmita, Mohsenin Tinoosh, Barry Richard, 

Compressive Sensing is a technique for simultaneous acquisition and compression of data that is sparse or can be made sparse in some domain. It is currently under intense development and has been profitably employed for industrial and medical applications. We here describe the use of this technique for the processing of astronomical data. We outline the procedure as applied to exoplanet gravitational microlensing and compare measurement results and uncertainty values with published scientific findings based on standard processes.  We describe implications for on-spacecraft data processing power, data volumes, transmission bandwidth and transmission power requirements.  Our findings suggest that application of these techniques may yield significant, enabling benefits especially for power and volume-limited space applications such as miniaturized or micro-constellation satellites.