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We present the pyKLIP-CHARIS post-processing pipeline, a Python library thatreduces high contrast imaging data for the CHARIS integral field spectrographused with the SCExAO project on the Subaru Telescope. The pipeline is a part ofthe pyKLIP package, a Python library dedicated to the reduction of directimaging data of exoplanets, brown dwarfs, and discs. For PSF subtraction, thepyKLIP-CHARIS post-processing pipeline relies on the core algorithmsimplemented in pyKLIP but uses image registration and calibrations that areunique to CHARIS. We describe the pipeline procedures, calibration results, andcapabilities in processing imaging data acquired via the angular differentialimaging and spectral differential imaging observing techniques. We showcase itsperformance on extracting spectra of injected synthetic point sources as wellas compare the extracted spectra from real data sets on HD 33632 and HR 8799 toresults in the literature. The pipeline is a python-based complement to theSCExAO project supported, widely used (and currently IDL-based) CHARIS datapost-processing pipeline (CHARIS DPP) and provides an additional approach toreducing CHARIS data and extracting calibrated planet spectra.

Post-processing CHARIS integral field spectrograph data with PyKLIP