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Asmita Korde-Patel

Asmita is a civil servant at NASA Goddard Space Flight Center in the Instrument Electronics Development branch. She works on implementing algorithms onto hardware for space flight instruments. She is currently pursuing her PhD in electrical engineering with a focus in signal processing at University of Maryland, Baltimore County. Her research interest lies in applying compressive sensing (CS), a mathematical theory of sampling data, to transient photometric measurements. Specifically she is studying the effects of CS application for gravitational microlensing, a technique used to detect exoplanets.

Compressive Sensing Application for Transient Photometric Measurements

Available in 11 days, 3 hours and 28 minutes

Compressive Sensing (CS) is a mathematical theory for simultaneous data acquisition and compression. Natural phenomena may be sparse in some physical or temporal domain.  If we exploit this sparsity by applying the technique of CS to obtain information, how do our measurements change as a function of domain and measurement systematics?  What are the specific implications for the science and for the sensing infrastructure? In this talk, we will discuss the generalized systematic effects consequent to the application of CS to time-series photometric measurements. We assess implications for observability, sparsification, and information loss in the detection, retrieval and reconstruction process.

To study time-series photometry, we explore the field of gravitational microlensing. A source star, typically in the galactic bulge, gets microlensed when there is a precise alignment of a lensing star and its planetary system, with the source star. The microlensed source star changes in flux magnification as the lensing system crosses the precise path of alignment, resulting in a microlensing curve in time domain. A high-cadence, high-resolution system, which uses low power and bandwidth is essential to obtain valuable science measurements. Hence, we discuss application of CS to gravitational microlensing data sets, which in turn can be generalized to any time-ordered photometric measurements.

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Live Q&A with Asmita Korde-Patel - Compressive Sensing Application for Transient Photometric Measurements

Available in 11 days, 4 hours and 28 minutes

Live Q&A with Asmita Korde-Patel following her talk titled "Compressive Sensing Application for Transient Photometric Measurements"

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