Overview
Numerical studies of Gamma-ray burst (GRB) afterglow jets reveal significant qualitative differences with simplified analytical models. We present an on-line library of synthetic afterglow light curves and broadband spectra for use in interpreting observational data. Light curves have been calculated for various physics settings such as explosion energy and circumburst structure, as well as differing jet parameters and observer angle and redshift. The light curves have been calculated from high-resolution 2D hydrodynamical simulations performed with the RAM adaptive-mesh refinement code and a detailed synchrotron radiation code.
Website content
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DATASETS
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Afterglow light curve data are available here. The datasets are subdivided by
publication. Preview light curve plots are provided, the datasets are
downloadable both in HDF5 format and simple text format. A readme.txt file
with additional information is provided as well as the python scripts that were
used in preparing the datasets and plots.
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ABOUT SITE
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A more in-depth explanation of the website content.
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ABOUT SIMULATIONS
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A description of how the hydrodynamics simulations were performed.
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ABOUT RADIATION
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A description of how the synchrotron radiation was calculated.
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LINKS
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A collection of useful links.
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Contact
This website is a project of the computational astrophysics group of prof. dr.
Andrew I. MacFadyen at the Center for Cosmology and Particle Physics
(CCPP) of
the Physics Department of New York University
(NYU). This research was supported in part
by NASA through grant NNX10AF62G issued through the Astrophysics Theory
Program and by the NSF through grant AST-1009863. The software used in this
work was in part developed by the DOE-supported ASCI/Alliance. Resources
supporting this work were provided by the NASA High-End Computing (HEC)
Program through the NASA Advanced Supercomputing (NAS) Division at Ames
Research Center.
The website and database are currently maintained by Hendrik
van Eerten. For questions, suggestions and feedback, please contact
us at:
dr. H.J. van Eerten
CCPP, NYU
4 Washington Place
10003 NY, New York
hve1 AT nyu DOT edu
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