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Paper: NICRED: A NICMOS Image Processing Pipeline
Volume: 376, Astronomical Data Analysis Software and Systems XVI
Page: 261
Authors: Magee, D.K.; Bouwens, R.J.; Illingworth, G.D.
Abstract: We have written an automatic image processing pipeline for the NICMOS instrument on the Hubble Space Telescope (HST). The pipeline, known as NICRED, currently supports imaging data from camera 2 and 3 and is written in Python and C making it portable across many platforms. The processing steps include basic calibration (removing the instrumental signature), cosmic-ray removal, treatment for post-SAA cosmic ray persistence and electronic ghosts (a.k.a. the “Mr. Staypuft” effect), sky subtraction, non-linear count-rate correction, artifact masking, robust alignment and registration for large mosaics, weight map generation, and drizzling onto a final image frame. NICRED creates image products with a signal-to-noise ratio that matches the most careful step-by-step manual NICMOS reductions.
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