About
The code is described in Sharma et al. 2019 . One of the main features of the code is to
generate a continuous distribution of stars over a wide angular area. The web interface is currently limited to tasks that require less than 10 minutes.
For more intensive jobs please consider decreasing the sampling parameter fSample or download and run the code locally on your computer.
The output data is in a special binary format which we call EBF (Efficient and Easy Binary Format) and these files are denoted with .ebf extension.
See http://ebfformat.sourceforge.net/ for further information on reading writing ebf file.
The details of the output quantities are given here.
The data can be loaded in python using
pip install --user --upgrade git+https://github.com/sanjibs/ebfpy.git@master
>> import ebf
>> data=ebf.read('galaxy1.ebf','/')
>> print data.keys()
References
The main reference for galaxia is
1) Sharma, S., Bland-Hawthorn, J., Johnston, K. V., & Binney, J. 2011, ApJ, 730,3
Currently the implemented analytic model is the Besancon model from
Currently the implemented analytic model is the Besancon model from
2) Robin, A. C., Reyl´e, C., Derri`ere, S., & Picaud, S. 2003, A&A, 409, 523
Isochrones used in galaxia are from Padova Stellar Evolution database.
Isochrones used in galaxia are from Padova Stellar Evolution database.
3) Bressan A., Marigo P., Girardi L., Salasnich B., Dal Cero C., Rubele S., Nanni A., 2012, MNRAS, 427, 127
4) Tang J., Bressan A., Rosenfield P., Slemer A., Marigo P., Girardi L., Bianchi L., 2014, MNRAS, 445, 4287
5) Chen Y., Girardi L., Bressan A., Marigo P., Barbieri M., Kong X., 2014, MNRAS, 444, 2525