Modeling Gamma-Ray Burst-Associated Type Ic Supernovae: a Genetic Algorithm-Based Approach
Public Deposited- Last Modified
- February 26, 2019
- Creator
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Cromartie, Hannah Thankful
- Affiliation: College of Arts and Sciences, Department of Physics and Astronomy
- Abstract
- Long-duration gamma-ray bursts (GRBs) have been shown to be associated with Type Ic supernovae (SNe). However, most GRBs occur at sufficiently high red-shift that if a SN is detected at all, it is detected only photometrically, and then at comparable brightness to the GRB's afterglow (at NIR through UV wavelengths). Consequently, GRB afterglow modeling efforts, at least of intermediate-redshift, long-duration GRBs, require a reliable SN model or template, (1) so the afterglow may be modeled without the results being contaminated by the SN, and (2) so the luminosity and temporal stretching of the SN may also be measured. Traditionally, low-redshift GRB-SN 1998bw (z = 0.0087) has served as this template, but it is only one event, and its temporal and spectral coverage is not complete. However, two other low-redshift GRB-SNe - 2006aj and 2010bh (z = 0.033 and 0.059, respectively) - have since been observed, and like 1998bw, have densely sampled light curves spanning many NIR, visible, and UV bands. Here we present a unified, albeit empirical, GRB-SN model, simultaneously fit to all three of these rich data sets, that may be used in future GRB afterglow and GRB-SN modeling efforts. This model may also be used to investigate if the temporal and broad spectral properties of GRB-SNe differ from traditional Type Ic SNe in significant, or subtle, ways.
- Date of publication
- spring 2014
- Keyword
- DOI
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- Rights statement
- In Copyright
- Note
- Funding: NC Space Grant, National Science Foundation
- Advisor
- Reichart, Daniel
- Degree
- Bachelor of Science
- Honors level
- Highest Honors
- Degree granting institution
- University of North Carolina at Chapel Hill
- Extent
- 9
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