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The Complexities of Astronomical Data

The analysis of astronomical data set reveals an astonishing diversity of astrophysical processes but also a dizzying array of observational complications. I will introduce several approaches to deal with complications like missing data, non-linear error propagation, and overlapping objects. I will concentrate on proximal optimization algorithms...
Location: Peyton Hall Auditorium, Room 145
Speaker(s):
Tags: Seminars

Astrophysical Inference with Complex, Stochastic Time Series

Astronomical time series—measurements of a celestial source’s brightness as a function of time—are key to probing the physical processes governing the behaviour of these sources on a large range of scales, from small asteroids in our solar system, to supermassive black holes at the centres of galaxies. Modern time domain surveys like the Zwicky...
Location: PCTS, Jadwin Hall Room 407
Speaker(s):
Tags: Seminars

Binary star science with sparse, noisy, and missing data

Many open questions in astrophysics hinge on a better understanding of binary star populations (their occurrence rate, orbital parameter distributions, and how these vary with environment).Yet, most of what we know about binary star statistics comes from just a few hundred stars nearest to the sun. Contemporary astronomical surveys have the...
Location: Peyton Auditorium, Room 145
Speaker(s):
Tags: Seminars

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