Statistical Methods for the Physical Sciences Seminar
Virtual Presentation - ET - Remote Access - Zoom
ANETA SIEMIGINOWSA , Senior Astrophysicist, High Energy Astrophysics Division, Harvard-Smithsonian Center for Astrophysics, and, Member, Science Data System team, Chandra X-ray Center
Statistical Methodology for High-Energy Astronomical Datasets
Modern X-ray telescopes and detectors collect high quality multi-dimensional data marking arrival time, location, and energy of each incoming photon. The data are sparse in all dimensions, requiring that they be described as a Poisson process. In the standard analysis, these data are collapsed along two or more dimensions – light curves for time, spectra for energy, images for space – and are analyzed independently.
The multi-domain approaches that simultaneously take into account 3D, or the full 4D, information carried by each photon are emerging leading to higher quality results. I will discuss traditional and emerging methods for high resolution X-ray observations and applications to images obtained with the Chandra X-ray Observatory.
— Aneta Siemiginowska is a Senior Astrophysicist at the High Energy Astrophysics Division of the Center for Astrophysics | Harvard & Smithsonian, and a member of the Science Data System team at the Chandra X-ray Center. She is an expert in extragalactic X-ray astronomy specializing in active galaxies, quasars, powerful jets, and has discovered several hundred kiloparsec long relativistic X-ray jets associated with distant quasars. She is a founding member of the International CHASC AstroStatistics Collaboration and works on applications of modern statistical methodology to Poisson data in spectral, timing and imaging domains. She is the current president of the International Astrostatistics Association (2021-2023 term).
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