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Dense Gas Toolbox v1.3
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@astrojohannes astrojohannes released this 26 Feb 15:39
· 12 commits to master since this release
v1.3
5d75712

Dense Gas Toolbox

Aim

Calculate density and temperature from observed molecular emission lines,
using radiative transfer models.

Method

Our models assume that the molecular emission lines emerge from a
multi-density medium rather than from a single density alone.
The density distribution is assumed to be log-normal or log-normal with
a power-law tail.
The parameters (density, temperature and the width of density distribution)
are inferred using Bayesian statistics, i.e. Markov chain Monte Carlo (MCMC).

Results

Given an ascii table of observed molecular intensities [K km/s],
the results (mass-weighted mean density, temperature and width of the density
distribution) are saved in an output ascii file. Furthermore, diagnostic plots
are created to assess the quality of the fit/derived parameters.

THIS RELEASE

  • New: The user may optionally infer the parameters (density, temperature, width of
    density distribution) via application of the MCMC method.

  • New: Diagnosis plots (corner plots) are produced when MCMC method is used.

  • Update: Code updated to Python 3.X

  • Update: Re-calculation of models, now including the following transitions:
    12CO (up to J=3), 13CO (up to J=3), C18O (up to J=3), C17O (up to J=3),
    HCN (up to J=3), HCO+ (up to J=3), HNC (up to J=3) and CS (up to J=3)

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