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Additional Resources

DESPOTIC is a library to Derive the Energetics and SPectra of Optically Thick Interstellar Clouds. Its capabilities include calculating spectral line luminosities from clouds of specified physical properties and compositions, predicting line profiles, calculating rates of heating and cooling due to a wide range of processes.

 

The physical model, equations solved, and some tests and example applications are described in [Krumholz (2014)](http://adsabs.harvard.edu/abs/2014MNRAS.437.1662K).

TurbuStat implements a 14 turbulence-based statistics described in the astronomical literature. TurbuStat also defines a distance metrics for each statistic to quantitatively compare spectral-line data cubes, as well as column density, integrated intensity, or other moment maps.

If you make use of this package in a publication, please cite the  accompanying paper: Koch et al. 2019.

Glue is an open-source Python library to explore relationships within and between related datasets.

With Glue, users can create scatter plots, histograms and images (2D and 3D) of their data. Glue is focused on the brushing and linking paradigm, where selections in any graph propagate to all others.

Astronomy data visualization with Houdini and yt.

POLARIS (POLArized RadIation Simulator) is a 3D Monte-Carlo continuum radiative transfer code.  The aim of POLARIS is to provide a tool that allows to simulate intensity and polarization of light emerging from analytical astrophysical models.

Open Numerical Turbulence Laboratory that enables access to multi-Terabyte turbulence databases. 

Contact 

Physics & Astronomy
Rutgers, The State University of New Jersey
136 Frelinghuysen Road
Piscataway, NJ 08854-8019
(848) 445-8785

Center for Computational Astrophysics

Flatiron Institute 
162 5th Avenue
New York, NY 10010
(848) 445-8785

Email. b.burkhart at rutgers.edu

© 2020 by Blakesley Burkhart. We acknowledge the generous support of the Simons Foundation Flatiron Institute for hosting this database.