Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 416 - Open Problems in Astrostatistics
Type: Topic Contributed
Date/Time: Wednesday, August 10, 2022 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #323233
Title: Exploring the Quantification of Uncertainty in the Analysis of Multi-Dimensional High-Energy Astronomical Data Sets
Author(s): Aneta Siemiginowska*
Companies: Center for Astrophysics | Harvard & Smithsonian
Keywords: astrostatistics; multi-dimensional data; Poisson; uncertainties ; X-rays

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 one of the 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. However, there are many levels of uncertainties in data collection and each stage of the analysis that impact the final scientific inference. I will discuss sources of uncertainty, current methods to take them into account, and point to issues that may need to be addressed.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program