Resources

A curated collection of textbooks, papers, tools, and datasets that I find useful for research in the interstellar medium, dust polarization, and multi-wavelength astrophysics. Suggestions welcome — drop me a line.

Textbooks

Title	Why it is useful
Physics of the Interstellar and Intergalactic Medium — B. T. Draine	The standard graduate reference for ISM physics, dust properties, and radiative processes.
The Interstellar Medium — J. Lequeux	Compact, well-illustrated overview of ISM components and observational diagnostics.
An Introduction to Modern Astrophysics — Carroll & Ostlie	Broad coverage; chapter on ISM and star formation is a good entry point.

Review Papers

Pattle et al. (2022) - Magnetic fields in star formation: from clouds to cores (arXiv). Comprehensive overview of observational techniques, morphology, role of magnetic field in various scales.
Andersson, Lazarian & Vaillancourt (2015) — Interstellar Dust Grain Alignment (ARA&A). Comprehensive review of grain alignment theory and polarimetric observations.
Hennebelle & Inutsuka (2019) — The Role of Magnetic Fields in the Formation of Stars (Front. Astron. Space Sci.). Clear discussion of magnetic support, ambipolar diffusion, and MHD simulations.
Planck Collaboration XII (2020) — Planck 2018 results: Galactic dust polarization (A&A). Key reference for all-sky polarization data at 353 GHz.

Tutorials & Online Courses

Astropy Tutorials — learn.astropy.org Hands-on Jupyter notebooks covering FITS I/O, WCS, photometry, and more.
Python for Astronomers — python4astronomers.github.io Gentle introduction to NumPy, SciPy, and Matplotlib for astronomical data.
UVIT Data Reduction — CCDLAB YouTube Tutorial

Articles

Markus Pössel (2020) - A Beginner’s Guide to Working with Astronomical Data (arXiv) - An excellent broad overview of astronomical data and data manipulation.

Tools & Code

Tool	Description
Astropy	Core Python library for astronomy — FITS, coordinates, cosmology, units.
SAOImageDS9	FITS image viewer with region analysis, commonly used for polarization maps.
TOPCAT	Interactive table viewer; fast cross-matching of large catalogues.
HEALPix / healpy	Pixelisation scheme for full-sky maps; essential for working with Planck data.
CCDLAB	UVIT photometry pipeline.
Git	Version control — indispensable for reproducible research.
VS Code	My editor of choice, works great with Jupyter Notebook extension and Remote Development

Datasets & Services

Service	What it provides
NASA/IPAC IRSA	Infrared and sub-mm survey data, including Planck and Herschel archives.
ADS (Astrophysics Data System)	Literature search, citation tracking, and export to BibTeX.
arXiv astro-ph	Daily preprints — subscribe to astro-ph.GA and astro-ph.SR for ISM papers.
SIMBAD	Object identifier cross-referencing and basic data.
SkyView	The Internet’s Virtual Telescope.

This list reflects my own working toolkit as a PhD student studying ISM and dust polarization at the Indian Institute of Astrophysics. Corrections and additions are welcome.