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

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

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

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

IMAGINE and GalMag integration

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

Repository for ASP Undergraduate Thesis

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

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

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