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DBSP_DRP is a python package that provides fully automated data reduction ofdata taken by the Double Spectrograph (DBSP) at the 200-inch Hale Telescope atPalomar Observatory (Oke & Gunn, 1982). The underlying data reductionfunctionality to extract 1D spectra, perform flux calibration and correctionfor atmospheric absorption, and coadd spectra together is provided by PypeIt(Prochaska et al., 2020). The new functionality that DBSP_DRP brings is inorchestrating the complex data reduction process by making smart decisions sothat no user input is required after verifying the correctness of the metadatain the raw FITS files in a table-like GUI. Though the primary function ofDBSP_DRP is to automatically reduce an entire night of data without user input,it has the flexibility for astronomers to fine-tune the data reduction withGUIs for manually identifying the faintest objects, as well as exposing thefull set of PypeIt parameters to be tweaked for users with particular scienceneeds. DBSP_DRP also handles some of the occasional quirks specific to DBSP,such as swapping FITS header cards, adding (an) extra null byte/s to FITS filesmaking them not conform to the FITS specification, and not writing thecoordinates of the observation to file. Additionally, DBSP_DRP contains aquicklook script for making real-time decisions during an observing run, andcan open a GUI displaying a minimally reduced exposure in under 15 seconds.Docker containers are available for ease of deploying DBSP_DRP in its quicklookconfiguration (without some large atmospheric model files) or in its fullconfiguration.

DBSP_DRP: A Python package for automated spectroscopic data reduction of DBSP data