interstellar-medium

Jupyter notebooks, python codes, and data files for all original figures from "Interstellar and Intergalactic Medium" by Barbara Ryden and Richard Pogge.

First version of the code - last update Dec 2015

Beetroots (BayEsian invErsion with spaTial Regularization of nOisy multi-line ObservaTion mapS) is a Python package that performs Bayesian inference with the sampling algorithm described in (Palud et al., 2023).

Magnetizer - A Fortran code that post-processes the output of a semi-analytic model of galaxy formation and produces a catalogue of galaxies with detailed radial dependent ISM properties, including magnetic fields

DIRTY: 3D dust radiative transfer for dusty astrophysical sources

Tutorial for simple usage of the beetroots python package

The public release of the clumpy PDR code kosmatau3d (Yanitski 2023).

Autocorrelation of Lyman-α forests

Python library for interstellar medium (ISM) analysis.

Analytic 1-D radiative transfer model of blue-asymmetric spectral line profiles from infalling molecular clouds. The model is presented in the paper, "Molecular Line Profile Fitting with Analytic Radiative Transfer Models" by De Vries & Myers (2005).

A code to calculate velocity power spectra over large dynamical ranges.

ISMGCC (InterStellar Medium Gaussian Component Clustering): Finding gas structures in molecular ISM using Gaussian decomposition and Graph theory

3D Spatio-kinematic Modeling of the Planetary Nebula Abell 48

G-Tomo (Galactic Tomography) app for exploitation of 3d dust extinction in the local galaxy. Extraction of 1d profiles and 2d maps (slices)

Morpho-kinematic properties of Wolf-Rayet planetary nebulae. Supplementary Data

IMAGINE and GalMag integration

Project webpage accompanying the paper 'On the stability analysis of cooling functions'

Generate temperature-dependent dust opacities for RADMC-3D using Optool

Fit a modified black body (grey body) to mid-infrared astronomical data

App to create sky charts showing stars, constellations and interstellar dust for a given time/location.