TelFit 1.3.2

Installation

This code requires the following packages:

• matplotlib

• numpy v1.6 or greater

• scipy v0.13 or greater

• astropy v0.2 or greater

• lockfile

• pysynphot v0.7 or greater

• fortranformat

• cython

• requests

The 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

pip install TelFit

to install TelFit. It may take a while, as it needs to build the LBLRTM code and some of its standard input files.

Running TelFit

To run TelFit, you should create a script like in the examples. The key parts of the script are the inputs to the TelluricFitter class. You should:

• Initialize fitter: fitter = TelluricFitter()

• Define variables to fit: must provide a dictionary where the key is the name of the variable, and the value is the initial guess value for that variable. Example: fitter.FitVariable({“ch4”: 1.6, “h2o”: 45.0})

• Edit values of constant parameters: similar to FitVariable, but the variables given here will not be fit. Useful for settings things like the telescope pointing angle, temperature, and pressure, which will be very well-known. Example: fitter.AdjustValue({“angle”: 50.6})

• Set bounds on fitted variables (fitter.SetBounds): Give a dictionary where the key is the name of the variable, and the value is a list of size 2 of the form [lower_bound, upper_bound]

• Import data (fitter.ImportData): Copy data as a class variable. Must be given as a DataStructures.xypoint instance

• Perform the fit: (fitter.Fit): Returns a DataStructures.xypoint instance of the model. The x-values in the returned array are the same as the data.