This $260,079 Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences, under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program, supports the development of PYPEIT, a set of Python-based software tools for processing and calibrating two-dimensional astronomical spectra into one-dimensional data products. The key objectives of this three-year award include: 1) Building a graphical user interface to aid in running PYPEIT and identifying issues in the data reduction process; 2) Refactoring the core PYPEIT algorithms to make them more accessible to external developers; and 3) Developing cloud-based tools to enable efficient processing of large spectroscopic datasets. These enhancements are designed to broaden the scientific applications of PYPEIT, improve data quality, and accelerate research publication timelines by streamlining the spectroscopic data reduction workflow. The award recipient is the University of California, Santa Cruz, a leading research institution in astronomy and astrophysics.
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