Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

A package to fit the telluric absorption in astronomical spectra.

Project Description

This code will fit the telluric absorption spectrum in data, using LBLRTM. More details can be found in the documentation and examples, but the installation and run procedure are outlined below. If you use this code, please cite my paper.

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.
Release History

Release History

This version
History Node

1.3.2

History Node

1.3.1

History Node

1.3.0

History Node

1.2

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
TelFit-1.3.2.tar.gz (4.0 MB) Copy SHA256 Checksum SHA256 Source Jul 8, 2015

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting