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        "author": "Kevin Gullikson",
        "author_email": "kgulliks@astro.as.utexas.edu",
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            "License :: OSI Approved :: MIT License",
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        "description": "TelFit Code\n===========\n\nThis code will fit the telluric absorption spectrum in data, using\nLBLRTM. More details can be found in the `documentation`_ and examples, but the\ninstallation and run procedure are outlined below. If you use this code,\nplease cite `my paper`_.\n\nInstallation\n------------\n\nThis code requires the following packages:\n\n  - matplotlib\n  - **numpy v1.6 or greater**\n  - scipy v0.13 or greater\n  - astropy v0.2 or greater\n  - lockfile\n  - pysynphot v0.7 or greater\n  - fortranformat\n  - **cython**\n  - **requests**\n\nThe bolded entries are required *before* installation, so make sure you get them from pip, apt-get/yum, or conda (depending on your OS and linux distribution). The setup script will attempt to install the rest if you don't have them, but I suggest doing it yourself just to make sure nothing goes wrong. Once you have the dependencies, simply type\n\n.. code:: bash\n\n    pip install TelFit\n\nto install TelFit. It may take a while, as it needs to build the LBLRTM code and some of its standard input files.\n\nRunning TelFit\n--------------\n\nTo run TelFit, you should create a script like in the examples. The key\nparts of the script are the inputs to the TelluricFitter class. You\nshould:\n\n-  Initialize fitter: fitter = TelluricFitter()\n-  Define variables to fit: must provide a dictionary where the key is\n   the name of the variable, and the value is the initial guess value\n   for that variable. Example: fitter.FitVariable({\u201cch4\u201d: 1.6, \u201ch2o\u201d:\n   45.0})\n-  Edit values of constant parameters: similar to FitVariable, but the\n   variables given here will not be fit. Useful for settings things like\n   the telescope pointing angle, temperature, and pressure, which will\n   be very well-known. Example: fitter.AdjustValue({\u201cangle\u201d: 50.6})\n-  Set bounds on fitted variables (fitter.SetBounds): Give a dictionary\n   where the key is the name of the variable, and the value is a list of\n   size 2 of the form [lower\\_bound, upper\\_bound]\n-  Import data (fitter.ImportData): Copy data as a class variable. Must\n   be given as a DataStructures.xypoint instance\n-  Perform the fit: (fitter.Fit): Returns a DataStructures.xypoint\n   instance of the model. The x-values in the returned array are the\n   same as the data.\n\n.. _my paper: http://adsabs.harvard.edu/abs/2014AJ....148...53G\n.. _documentation:  http://telfit.readthedocs.org/en/latest/",
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        "license": "The MIT License: http://www.opensource.org/licenses/mit-license.php",
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