Graduation Semester and Year
2020
Language
English
Document Type
Thesis
Degree Name
Master of Science in Physics
Department
Physics
First Advisor
Amir Shahmoradi
Abstract
We present a catalog of the redshift estimates and probability distributions for 565 individual Short-duration Gamma-Ray Bursts (SGRBs) detected by the Burst And Transient Source Experiment (BATSE). This result is based on a careful classification and modeling of the population distribution of BATSE SGRBs in the 5-dimensional space of redshift as well as the intrinsic prompt gamma-ray emission properties: the isotropic 64ms peak luminosity, the total isotropic emission, the spectral peak energy, as well as the intrinsic duration, while taking into account the complex detection mechanism of BATSE and sample incompleteness. The underlying assumption in our modeling approach is that SGRBs trace the Cosmic Star Formation Rate convolved with plausible binary Neutron-Star merger-delay-time distributions. Our modeling approach enables us to constrain the redshifts of BATSE SGRBs for the first time, and to reconstruct the cosmic distribution map of all BATSE SGRBs in the world.
Keywords
Gamma-ray bursts
Disciplines
Physical Sciences and Mathematics | Physics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Proni, Rebecca M., "Catalogue of Computed Pseudo-Redshifts
from BATSE GRB Data" (2020). Physics Theses. 72.
https://mavmatrix.uta.edu/physics_theses/72
Comments
Degree granted by The University of Texas at Arlington