MG14 - Talk detail |
Participant |
Fryer, Chris | |||||||
Institution |
Los Alamos National Lab - MS D409 - Los Alamos - NM - USA | |||||||
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Title |
Uncertainties in Modeling Populations of Binary Neutron Stars | |||||
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Abstract |
Many merging neutron star binary systems are formed in massive star binaries and accurate models of the evolution of these stellar binaries toward the formation of compact neutron star binaries are required to produce merger rates and properties that are important in understanding short-duration gamma-ray bursts, r-process production and gravitational wave emission. However, these models rely on a detailed understanding of both stellar conditions, stellar evolution and supernovae. I will review the recent results of these evolutionary models and their predictions for these phenomena, focusing on some of the outstanding uncertainties in the population synthesis models. |
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PS |
Accepted |
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Title |
Using Observations to Constrain the GRB Engine: Lessons from Core-Collapse Supernovae | |||||
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Abstract |
Observations of gamma-ray bursts in the past decade of produced a fast-growing database studying these objects. However, despite this broad wavelength data ranging from radio to gamma-rays, the progenitors, engines and emission mechanisms for these outbursts remains a matter of debate. The field of gamma-ray bursts is entering a new era, where methodical studies are replacing the fast-paced discovery-period. These new studies can bring new life to the wealth of data on these cosmic explosions, but a methodical approach means that the theoretical uncertainties must be understood to truly leverage this data. Here, the gamma-ray burst field can take advantage of the lessons learned from supernova studies. For supernovae, both broad class features and specific objects constrain our understanding of the explosion mechanism, and I will use the connection between supernova observations and theory as an example for the next steps in gamma-ray bursts. I will demonstrate how we can use current gamma-ray burst observations to constrain proposed scenarios for both progenitors and engines. |
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Pdf file |
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