extinctions 0.1.2

Extinction laws, maps and corrections

extinctions

Python package including different extinction laws and dust maps. Useful to

• get E(B-V) for a set of coordinates (or list of coordinates) from different

  • distant sources (IRSA, NED)

  • local maps (SFD98, Schlafly 2014, Planck 2013, Green 2015)

• compute the ISM transmission for different extincion laws

  • CCM89: Cardelli, Clayton and Mathis (http://adsabs.harvard.edu/abs/1989ApJ…345..245C)

  • OD94: O’Donnell (http://adsabs.harvard.edu/abs/1994ApJ…422..158O)

  • FM98: Fitzpatrick & Massa (1998)

  • G08: Goobar (http://adsabs.harvard.edu/abs/2008ApJ…686L.103G)

Installation

To install:

git clone https://github.com/nicolaschotard/extinctions.git
pip install extinctions/

To install in a local directory mypath, use:

pip install --prefix='mypath' extinctions/

and do not forget to add it to your PYTHONPATH.

To upgrade to a new version (after a git pull or a local modification), use:

pip install --upgrade (--prefix='mypath') extinctions/

To install a release version (no release version available yet):

pip install http://github.com/nicolaschotard/extinctions/archive/v0.1.tar.gz

Also works with the master:

pip install (--upgrade) https://github.com/nicolaschotard/extinctions/archive/master.zip

In the future, release versions will be listed at this location.

Dependencies

extinctions has a few python dependencies listed in the requirements file. To install them all, use:

pip install -r requirements.txt

Dust map setup

You can automatically download the dust maps listed in the maps.yaml file using the script get_maps.py. It will, by default, put them in $HOME/.extinction/maps, but other locations are of course possible (option –outdir). If you choose to store them in an other diretory, you must set a $MAPSDIR environment variable pointing to it. Already existing maps in the output directory will not be downloaded again.

The available dust maps are:

• SFD98, full sky Healpy format

• SFD98 north and south dust maps

• Planck

• Schlafly 2014

• Green 2015

Download the maps

To download the extinction maps listed above, use the script get_maps.py. The following options are available:

get_maps.py -h
usage: get_maps.py [-h] [--outdir OUTDIR] [--update] [--list]
                 [--select SELECT] [--exclude EXCLUDE]

optional arguments:
   -h, --help         show this help message and exit
   --outdir OUTDIR    Output directory in where to put the dust maps
   --update           Update the maps directory in case of changes of maps.yaml
   --list             List of available maps and exit
   --select SELECT    Select maps to download (coma separated)
   --exclude EXCLUDE  Exclude map(s) (coma separated).If the select option is
                      used, the exclude option will be ignored.

Usage

Get E(B-V)

Here is an example of how to get the value of E(B-V) for a set of coordinates (RA,DEC):

In [1]: ra, dec = 340.83, -9.59 # could also be arrays or list of ra/dec
In [2]: from extinctions import reddening
In [3]: red = reddening.Reddening(ra, dec) # ra dec can also be lists of coordinates
INFO: Loading the maps from local directory /home/chotard/.extinction/maps/
- green is loaded
- schlafly is loaded
- sfd is loaded
- planck is loaded

You can then get E(B-V) from different sources:

# from the local maps
In [4]: red.query_local_map(dustmap='sfd')
Out[4]: 0.047723956233310674
In [5]: red.query_local_map(dustmap='schlafly')
Out[5]: 0.062566755984547445
In [6]: red.query_local_map(dustmap='planck')
Out[6]: 0.052058338535565914
In [7]: red.query_local_map(dustmap='green')
Out[7]: 0.035786284169101318


# from the SFD98 north/south maps using `sncosmo`
In [8]: red.from_sncosmo()
Out[8]: array([ 0.0473752])

# Using astroquery
In [9]: red.from_astroquery()
Downloading http://irsa.ipac.caltech.edu//workspace/TMP_XG1Joz_30445/DUST/340.8300_-9.5900.v0001/extinction.tbl
|==============================================================================================| 4.3k/4.3k (100.00%)         0s
Out[9]: [0.047377326565143825]

Make some plots

To have a look at the different extinction laws amd dust maps, you can use the script extinction_plots.py.