Skip to main content

Gas and Dust Python Calculator

Project description

gdpyc is a Python 2/3 package for calculating Hydrogen column density and optical extinction. gdpyc offers functionalities similar to the nh tool included in HEASoft, or on-line web services like HEASARC’s nH or IRSA’s Galactic Dust Reddening and Extinction.

This package uses HEALpix maps provided by NASA’s LAMBDA service. Please cite the original papers and authors of the surveys if you use this tool for your research (see sections Surveys and References below).

astropy DOI


gdpyc depends on:

  • numpy
  • astropy
  • astropy-healpix
  • regions

Certain functionalities also requiere:

  • healpix
  • matplotlib


gdpyc can be easily installed using pip:

pip install gdpyc


A simple example of using gdpyc:

>>> from gdpyc import GasMap, DustMap
>>> from astropy.coordinates import SkyCoord

>>> coords = SkyCoord(34.0, -5.0, unit='deg')
>>> GasMap.nh(coords, nhmap='DL')

<Quantity 1.9278499e+20 1 / cm2>

>>> GasMap.nh(coords, nhmap='LAB')

<Quantity 1.9802036e+20 1 / cm2>

>>> DustMap.ebv(coords, dustmap='Planck13')


>>> DustMap.extinction(coords, dustmap='SFD', filters='SDSS_r')

<Table length=1>

>>> GasMap.plot_map('HI4PI')


gdpyc includes several HI and dust surveys with nH and E(B - V) estimations. We created low resolution HEALPix maps for all surveys (NSIDE=64 ~ 1 degree pixels) by degrading the original maps using the ud_grade tool from healpy. Only low resolution maps are included in the installation. If the user asks for high resolution maps (hires parameter, see API documentation), they are downloaded as needed and stored for future use.

HI surveys

DL: Composite all-sky map of neutral Hydrogen column density (NHI), formed from the Leiden/Dwingeloo survey data [1] and the composite NHI map of [2]. The two datasets are not matched in sensitivity or resolution; note that discontinuities exist in the constructed composite map.

DL high resolution data (oversampled), NSIDE=512 ~ 0.11 deg.

LAB: Observations of 21-cm emission from Galactic neutral Hydrogen over the entire sky, merging the Leiden/Dwingeloo Survey [1] of the sky north of -30° with the Instituto Argentino de Radioastronomia Survey [3], [4] of the sky south of -25°. [5]

LAB high resolution data (oversampled), NSIDE=512 ~ 0.11 deg. [6]

HI4PI: The HI 4-PI Survey (HI4PI) is a 21-cm all-sky survey of neutral atomic Hydrogen. It is constructed from the Effelsberg-Bonn HI Survey (EBHIS) and the Galactic All-Sky Survey (GASS). [7]

HI4PI high resolution data, NSIDE=1024 ~ 0.06 deg.

Dust surveys

SFD: All-sky map of Galactic reddening, E(B - V), from a composite 100 micron map formed from IRAS/ISSA maps calibrated using DIRBE observations. [8]

SFD high resolution data (undersampled), NSIDE=512 ~ 0.11 deg.

Planck13: All-sky map of Galactic reddening, E(B - V), using Planck-HFI and IRAS data, for extra-galactic studies. [9]

Planck13 high resolution data, NSIDE=2048 ~ 0.03 deg.

Extinction values for different filters are estimated using the E(B - V) conversion factors presented in [10], assuming an extinction to reddening ratio R=3.1 Additional factors for 2MASS, Spitzer-IRAC and WISE filters are from IRSA’s Galactic Dust Reddening and Extinction service.


[1](1, 2) Hartmann & Burton 1997, Cambridge University Press.
[2]Dickey & Lockman 1990, Ann. Rev. A&A, 28, 215.
[3]Arnal et al. 2000, A&AS, 142.
[4]Bajaja et al. 2005, A&A, 440, 2
[5]Kalberla et al. 2005, A&A, 440, 775.
[6]Land & Slosar 2007, Phys. Rev. D, 76, 8.
[7]HI4PI Collaboration et al. 2016, A&A, 594, A116.
[8]Schlegel, Finkbeiner & Davis 1998, ApJ, 500, 2.
[9]Planck Collaboration et al. 2013, A&A, 571, A11.
[10]Schlafly & Finkbeiner 2011, ApJ, 737, 2, 103.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for gdpyc, version 1.1
Filename, size File type Python version Upload date Hashes
Filename, size gdpyc-1.1-py3-none-any.whl (1.3 MB) File type Wheel Python version py3 Upload date Hashes View
Filename, size gdpyc-1.1.tar.gz (1.3 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page