Quantitative Astrophotography: Interpreting Astrophysics from Star-Formation Regions

Authors

  • Matthew Fleenor Univ of Mary Washington
  • Daniel Reichart University of North Carolina at Chapel Hill, NC, USA
  • Joshua Haslip University of North Carolina at Chapel Hill, NC, USA
  • Vladimir Kouprianov University of North Carolina at Chapel Hill, NC, USA

DOI:

https://doi.org/10.32374/AEJ.AECON.2023.109aepw

Keywords:

astrophotography, star-forming regions, STEM identity

Abstract

As undergraduates produce their own high-quality astrophotography images, STEM identity is shown to increase. Can more be obtained? Specifically, what student learning is possible about the physical processes occurring within these images? In this workshop, we focused on star-formation regions (stellar birth) as a model for quantification of astrophysical values. Narrowband, photometric observations from Skynet were processed in Afterglow Access, which included aligning, stacking, and coloring. Next, within the context of Strömgren sphere modelling, threshold boundaries were established for the electron number density. By securing an upper- and lower-bound on a common astrophysical quantity, undergraduates better understand how observation and theory work together for practicing scientists. In summary, this workshop reveals the capacity of astrophotography to deepen STEM identity and belonging within undergraduates by carrying out the same activities as scientists.

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Published

2024-08-14

Issue

Section

AstroEdu Conference2023 - Astronomy Education Practice