We describe a segmented line model for parameterizing the timedependent
sensitivity and present a method for automatically determining the
number of line segments needed to fit the data. We also present a Python script to
perform this fit.
S. T. Holland 03 Apr 2014
This TIR summarizes most of the modications applied to the existing python code:
STISCCDSpectroscopyFlat.py (Niemi 2010). The document also summarizes the results
obtained from the analysis of past data and the recommendations for the future STIS CCD at monitoring programs.
E. Mason 11 Nov 2013
We analyze the STIS NUV MAMA flats collected during cycles 11, 17 and 19. The data collected within each cycles are normalized in a p-flat following two different methods. The two methods are compared and discussed. The evolution of the p-flat with time is presented, too, confirming the trend already reported by Brown et al. (2002).
E. Mason 14 Feb 2013
This report presents the definitions and relationships between the various coordinate frames used with STIS.
G. Hartig 29 Mar 2001