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Matt Mechtley - Dec 2012 - https://github.com/mmechtley Python interface to the HST Focus Model hosted at the Space Telescope Science Institute (see http://www.stsci.edu/hst/observatory/focus/FocusModel). Because the model queries 5-minute interval temperature telemetry from 2003 onwards (much data), STScI provides it as a web service. The STScI website provides a web form interface, but no programmatic interface, so it is time-consuming to make many queries. This module builds HTTP POST requests which are submitted to the STScI CGI script to generate the output data on their server, and then retrives those output data. Overview from the STScI website: For a given time, this model estimates the amount of defocus at a particular camera. The model is a function of telemetered temperatures and secular terms. The temperature dependent part of the model is taken from Di Nino et al. 2008 while the long-term secular trend is a more recent determination given in Niemi et al., 2010. In addition to the temperature terms and secular double exponential, the model includes zero point offsets characterizing the focus offsets between cameras and channels. Required Modules: --------- numpy (1.4+) scipy (0.8+) pyfits (optional, for add_mean_focus_to_header function) Installation: ------------- Standard: python setup.py install Using a non-standard library location (e.g. Dropbox): python setup.py install --prefix=~/Dropbox/Python Example Usage: -------------- import HSTFocusModel # Get text table or plotted png image of focus data txt_table = HSTFocusModel.get_model_data(2012,'01/20','12:00','14:00') txt_table2,png_image = HSTFocusModel.get_model_data(2008,'01/20', '12:00','14:00', camera='WFC1', format='BOTH') # Automatically calculate the mean focus value for a given image, and store it # in the image header HSTFocusModel.add_mean_focus_to_header('hst_image.fits')