Speedysedfit is modified from speedyfit of Joris Vos
A python package to fit the photometric spectral energy distribution of stars. Uses a Markov chain Monte Carlo approach to determine the errors on the derived parameters.
Speedyfit is a command line tool writen in Python 3 that allows you to search the most common online databases for photometric observations of your target, and fit theoretical atmosphere models to the obtained photometry. Speedyfit can deal with both single and binary stars, and allows for the inclusion of constraints from other sources, as for example the distance or reddening.
Installing speedysedfit, please look at ./ipynb/install_speedysedfit.ipynb
- $git clone https://github.com/lidihei/speedysedfit.git
- $cd speedysedfit
- $python setup.py intall
#setup configure file download SED grids
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make a directory which you want to store the SED grids and the integrated grids
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$ mkdir /share/speedysedfit
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$ mkdir /share/speedysedfit/modelgrids
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$ export SPEEDYFIT_MODELS="share/speedyfit/modelgrids/"
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$ cp -r speedysedfit/transmission_curves $SPEEDYFIT_MODELS/../
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$ cp -r speedysedfit/redlaws $SPEEDYFIT_MODELS/../
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$ cp speedysedfit/zeropoints.dat $SPEEDYFIT_MODELS/../
- $ cd $SPEEDYFIT_MODELS
- create or edit a file named grid_description.yaml which contains(TLUSTY and COMARCS grids should be created by youself):
kurucz: filename: 'kurucz93_z0.0_k2odfnew_sed' munari: filename: 'Munari2005_extended' tmap: filename: 'TMAP2012_sdOB_extended' blackbody: filename: 'blackbody_discint' tlustyB: filename: 'TlustyB_G_v2' tlustyO: filename: 'TlustyO_G_v10' comarcs: filename: 'COMARCS'
Create TLUSTY SED grid and COMARCS SED grid
If you want calculate and save Integrated TLUSTY and COMARCS grids, or calculate a your own integrated grid, you can look at ipynb/calc_integrated_grid.ipynb