Inference of point sources from NuSTAR X-ray observations using probabilistic cataloging
Name
1192560746-MIT.pdf
Size
4.44 MB
Format
Adobe PDF
Checksum (MD5)
977e0dcd71bc5746b57731eb5cbca7c9
Author(s)
Heyer, John(John D.)
Advisor(s)
Devavrat Shah and Gabriel Collin.
Date Issued
2020
Publisher
Massachusetts Institute of Technology
Abstract
An important task in astronomy is in locating astronomical objects, known as sources, in images and describing the sources' properties such as size, spatial information, intensity, and color. This task is known as cataloging, and suffers from several shortcomings such as an inability to capture sources fainter than the background, or correctly modeling sources that overlap in what's known as a crowded field. Probabilistic cataloging is a technique based on Bayesian inference that allows sampling from the posterior distribution of catalogs, producing a set of valid hypotheses rather than one, allowing for robust calculations of uncertainty. In this work, we propose methods to produce a probabilistic catalog of the X-ray sky observed by the NuSTAR X-ray telescope.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 67-68).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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