NICRED is an automatic image processing pipeline for data taken with the Near Infrared Camera and Multi-Object Spectrometer (NICMOS) instrument on the Hubble Space Telescope (HST). The pipeline currently supports imaging data from camera 2 and 3 and is written in Python and C making it portable across many platforms. The automated 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 mosaic. NICRED can combined data across different HST observations, visits and proposals with the need for any pre-defined associations. NICRED creates image products with a signal-to-noise ratio that matches the most careful step-by-step manual NICMOS reductions.
Development Team: Dan Magee, Rychard Bouwens and Larry Bradley