Krang: Kerr Raytracer for Analytic NullGeodesics

Krang is a Julia (Bezanson et al., 2017) package that implements efficient algorithms for raytracing emission geometries in the Kerr black hole space time.It is GPU compatible and is specialized for studies of sub-image contributions from gravitationally lensed sources (Johnson et al., 2020).Such algorithms are of interest for modeling the sources seen by Very Long Baseline Interferometry (VLBI) observations of Low Luminosity Active Galactic Nuclei (LLAGN) such as those imaged by the Event Horizon Telescope Collaboration (EHTC).

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Publication Details

Journal
The Journal of Open Source Software
Published
2024-10-31
DOI
https://doi.org/10.21105/joss.07273
Citations
2
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
0.66

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article

Krang: Kerr Raytracer for Analytic NullGeodesics

Dominic O. Chang
2 citations
The Journal of Open Source Software
Astrophysical Phenomena and Observations
0.66
article

Krang: Kerr Raytracer for Analytic NullGeodesics

Dominic O. Chang
article en
2 citations

Abstract

Krang is a Julia (Bezanson et al., 2017) package that implements efficient algorithms for raytracing emission geometries in the Kerr black hole space time.It is GPU compatible and is specialized for studies of sub-image contributions from gravitationally lensed sources (Johnson et al., 2020).Such algorithms are of interest for modeling the sources seen by Very Long Baseline Interferometry (VLBI) observations of Low Luminosity Active Galactic Nuclei (LLAGN) such as those imaged by the Event Horizon Telescope Collaboration (EHTC).

The Journal of Open Source SoftwareVol. 9(102)
Woodwell Climate Research Center (US), Harvard University (US)
National Science Foundation, John Templeton Foundation, Gordon and Betty Moore Foundation
Openalex Percentile: Top 27%
Astrophysical Phenomena and Observations
0.66
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