Besancon Queries (astroquery.besancon)¶
Getting started¶
The following example illustrates an Besancon catalog/image query. The API describes the relevant keyword arguments (of which there are many)
Note
These examples are improperly formatted because they are not safe to run generally! The Besancon servers are hosted by individuals and not mean to handle large or repeated requests, so we disable all automated testing.
A successful run should look something like this
>>> from astroquery.besancon import Besancon
>>> #besancon_model = Besancon.query(glon=10.5, glat=0.0, email='your@email.net')
Waiting 30s for model to finish (elapsed wait time 30s, total 32)
Loading page...
Waiting 30s for model to finish (elapsed wait time 60s, total 198)
Loading page...
Waiting 30s for model to finish (elapsed wait time 90s, total 362)
Loading page...
Waiting 30s for model to finish (elapsed wait time 120s, total 456)
Loading page...
Awaiting Besancon file...
Downloading ftp://sasftp.obs-besancon.fr/modele/modele2003/1407398212.212272.resu
|========================================================================================================================================| 2.5M/2.5M (100.00%) 0s
>>> # B.pprint()
Dist Mv CL Typ LTef logg Age Mass J-K J-H V-K H-K K [Fe/H] l b Av Mbol
----- ---- --- ---- ----- ---- --- ---- ----- ----- ------ ----- ------ ------ ----- ----- ----- ------
0.87 12.5 5 7.5 3.515 4.99 5 0.24 0.966 0.649 5.408 0.318 17.44 -0.02 10.62 -0.38 0.637 10.844
0.91 13.0 5 7.5 3.506 5.03 1 0.21 0.976 0.671 5.805 0.305 17.726 0.13 10.62 -0.38 0.669 11.312
0.97 18.5 5 7.9 3.39 5.32 7 0.08 0.804 0.634 8.634 0.17 20.518 -0.46 10.62 -0.38 0.716 0.0
1.01 15.2 5 7.9 3.465 5.14 1 0.13 1.045 0.649 7.015 0.396 18.957 0.22 10.62 -0.38 0.748 13.353
1.01 16.5 5 7.8 3.435 5.27 5 0.09 1.024 0.701 7.545 0.323 19.642 -0.09 10.62 -0.38 0.748 0.0
1.03 17.0 5 7.85 3.424 5.29 1 0.09 1.133 0.701 8.132 0.432 19.631 0.07 10.62 -0.38 0.764 0.0
1.09 13.5 5 7.6 3.497 5.05 7 0.18 0.995 0.69 5.829 0.305 18.629 -0.43 10.62 -0.38 0.812 11.78
1.17 13.7 5 7.65 3.493 5.0 2 0.17 1.025 0.68 6.319 0.345 18.552 0.2 10.62 -0.38 0.876 11.948
1.17 18.5 5 7.9 3.39 5.32 5 0.08 0.927 0.69 8.876 0.237 20.763 -0.27 10.62 -0.38 0.876 0.0
1.25 20.0 5 7.9 3.353 5.36 3 0.08 1.533 0.883 10.202 0.65 21.215 0.15 10.62 -0.38 0.941 0.0
1.29 9.3 5 7.1 3.58 4.74 2 0.56 0.997 0.777 4.592 0.219 16.263 0.21 10.62 -0.38 0.974 7.834
1.29 13.5 6 9.0 3.853 8.0 7 0.6 0.349 0.283 1.779 0.066 23.266 -0.17 10.62 -0.38 0.974 0.0
1.33 6.9 5 6.4 3.656 4.62 5 0.77 0.857 0.69 3.604 0.167 14.889 0.25 10.62 -0.38 1.006 5.795
1.35 7.5 5 6.5 3.633 4.62 5 0.7 0.902 0.729 3.885 0.172 15.22 0.08 10.62 -0.38 1.023 6.225
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
40.19 17.1 6 9.0 3.515 8.19 9 0.7 2.013 1.481 11.166 0.532 35.816 -1.99 10.62 -0.38 11.8 0.0
41.01 17.1 6 9.0 3.515 8.19 9 0.7 2.013 1.481 11.166 0.532 35.899 -2.14 10.62 -0.38 11.8 0.0
41.21 17.3 6 9.0 3.485 8.19 9 0.7 1.933 1.471 10.826 0.462 36.312 -1.36 10.62 -0.38 11.8 0.0
41.41 16.9 6 9.0 3.542 8.19 9 0.7 1.893 1.301 11.436 0.592 35.358 -0.92 10.62 -0.38 11.8 0.0
41.87 16.7 6 9.0 3.568 8.19 9 0.7 1.783 1.141 11.686 0.642 34.917 -1.79 10.62 -0.38 11.8 0.0
42.05 16.7 6 9.0 3.568 8.19 9 0.7 1.783 1.141 11.686 0.642 34.936 -2.06 10.62 -0.38 11.8 0.0
44.19 16.9 6 9.0 3.542 8.19 9 0.7 1.893 1.301 11.436 0.592 35.494 -3.04 10.62 -0.38 11.8 0.0
45.39 17.3 6 9.0 3.485 8.19 9 0.7 1.933 1.471 10.826 0.462 36.497 -1.28 10.62 -0.38 11.8 0.0
46.01 18.5 6 9.0 3.297 8.19 9 0.7 0.813 1.381 8.016 0.568 40.611 -2.01 10.62 -0.38 11.8 0.0
46.71 16.7 6 9.0 3.568 8.19 9 0.7 1.783 1.141 11.686 0.642 35.087 -2.59 10.62 -0.38 11.8 0.0
46.97 17.9 6 9.0 3.389 8.19 9 0.7 1.233 1.161 9.536 0.072 38.563 -1.42 10.62 -0.38 11.8 0.0
47.45 17.3 6 9.0 3.485 8.19 9 0.7 1.933 1.471 10.826 0.462 36.579 -2.25 10.62 -0.38 11.8 0.0
48.05 5.2 5 4.82 3.786 4.54 9 0.74 2.42 1.563 11.919 0.857 23.548 -1.45 10.62 -0.38 11.8 5.08
49.39 16.9 6 9.0 3.542 8.19 9 0.7 1.893 1.301 11.436 0.592 35.813 -1.19 10.62 -0.38 11.8 0.0
Note
These tests are commented out (and will fail) because I don’t want to put unnecessary strain on the Besancon servers by running queries every time we test.
Reading a previously downloaded file¶
If you’ve downloaded a .resu, you can parse it with the custom parser in astroquery:
>>> from astroquery.besancon import parse_besancon_model_file
>>> tbl = parse_besancon_model_file('file.resu')
>>> tbl.pprint()
Dist Mv CL Typ LTef logg Age Mass J-H H-K J-K V-K V [Fe/H] l b Av Mbol
------ ---- --- --- ----- ---- --- ---- ----- ----- ----- ----- ------ ------ ----- ----- ----- ------
0.091 10.2 5 7.2 3.559 4.85 7 0.48 0.601 0.223 0.824 4.175 15.133 0.02 10.62 -0.38 0.056 8.671
Reference/API¶
astroquery.besancon Package¶
Besancon Query Tool¶
A tool to query the Besancon model of the galaxy http://model.obs-besancon.fr/
- Author
Adam Ginsburg (adam.g.ginsburg@gmail.com)
Functions¶
|
Parse a besancon model from a file on disk |
Given an entire Besancon model result in string form, parse it into an |
Classes¶
|
|
|
Configuration parameters for |