M. L. Paggen
Papers
1
Total Citations
6
H-Index
1
About
M. L. Paggen is a radio astronomer whose work focuses on advancing single-dish mapping techniques for small-scale structures in the radio sky. Their primary contribution is the development of the Skynet Algorithm, a novel approach to single-dish radio mapping that replaces traditional weighted averaging with weighted modeling. This innovation allows for smoother data interpolation without introducing the blurring typical of conventional methods, enabling cleaner contaminant removal, more accurate mapping, and improved photometry of faint, compact sources. The flagship paper detailing this algorithm, published in 2019, has garnered 6 citations, establishing Paggen as a methodological innovator in the field. This work is particularly valuable for researchers studying diffuse or low-surface-brightness structures, where traditional mapping techniques often struggle. Paggen’s contributions are notable for their practical impact on data reduction pipelines, offering a robust alternative for next-generation radio surveys. Their research sits at the intersection of signal processing and observational astrophysics, providing tools that enhance the fidelity of radio maps and open new avenues for studying the small-scale universe.
Research Focus
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Top Papers
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