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Uniform interface for multiple dust reddening maps.

Project Description

A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.

Supported Dust Maps

  1. Burstein & Heiles (1982; BH‘82)
  2. Chen et al. (2014)
  3. Green, Schlafly, Finbeiner et al. (2015; Bayestar)
  4. Marshall et al. (2006)
  5. Planck Collaboration (2013)
  6. Sale et al. (2014; IPHAS)
  7. Schlegel, Finkbeiner & Davis (1998; SFD‘98)

Installation

Download the repository and then run:

python setup.py install –large-data-dir=/path/where/you/want/large/data/files/stored

Alternatively, you can use pip:

pip install dustmaps

Getting the Data

To fetch the data for the SFD dust map, run:

python setup.py fetch –map-name=sfd

You can download the other dust maps by changing “sfd” to “planck”, “bayestar”, “iphas”, “marshall”, “chen2014” or “bh”.

Alternatively, if you have used pip to install dustmaps, then you can configure the data directory and download the data by opening up a python interpreter and running:

>>> from dustmaps.config import config
>>> config['data_dir'] = '/path/where/you/want/large/data/files/stored'
>>>
>>> import dustmaps.sfd
>>> dustmaps.sfd.fetch()
>>>
>>> import dustmaps.planck
>>> dustmaps.planck.fetch()
>>>
>>> import dustmaps.bayestar
>>> dustmaps.bayestar.fetch()
>>>
>>> import dustmaps.iphas
>>> dustmaps.iphas.fetch()
>>>
>>> import dustmaps.marshall
>>> dustmaps.marshall.fetch()
>>>
>>> import dustmaps.chen2014
>>> dustmaps.chen2014.fetch()

Querying the Maps

Maps are queried using astropy.coordinate.SkyCoord objects. This means that any coordinate system can be used as input. For example, we can query SFD‘98 as follows:

>>> from dustmaps.sfd import SFDQuery
>>> from astropy.coordinates import SkyCoord
>>>
>>> sfd = SFDQuery()
>>>
>>> c = SkyCoord(
        '05h00m00.00000s',
        '+30d00m00.0000s',
        frame='icrs')
>>> print sfd(c)
0.483961

Above, we’ve used the ICRS coordinate system (the inputs are RA and Dec). We can use other coordinate systems, such as Galactic coordinates, and we can provide coordinate arrays. The following example uses both features:

>>> c = SkyCoord(
        [75.00000000, 130.00000000],
        [-89.00000000, 10.00000000],
        frame='galactic',
        unit='deg')
>>> print sfd(c)
[ 0.0146584   0.97695869]

Documentation

Read the full documentation at http://dustmaps.readthedocs.io/en/latest/.

Release History

Release History

This version
History Node

0.1a11

History Node

0.1a10

History Node

0.1a9

History Node

0.1a8

History Node

0.1a7

History Node

0.1a6

History Node

0.1a5

History Node

0.1a3

History Node

0.1a2

History Node

0.1a0

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
dustmaps-0.1a11.tar.gz (416.9 kB) Copy SHA256 Checksum SHA256 Source Apr 7, 2017

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