Quantitative Astrophotography: Interpreting Astrophysics from Star-Formation Regions

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.

Authors

Institutions

Publication Details

Journal
Astronomy Education Journal
Published
2024-08-14
DOI
https://doi.org/10.32374/aej.aecon.2023.109aepw
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Astrophotography: Interpreting Astrophysics from Star-Formation Regions

D. Reichart, Matthew C. Fleenor, Vladimir Kouprianov, Joshua Haslip
Astronomy Education Journal
Astronomy and Astrophysical Research
article

Quantitative Astrophotography: Interpreting Astrophysics from Star-Formation Regions

D. Reichart, Matthew C. Fleenor, Vladimir Kouprianov, Joshua Haslip
article en

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.

Astronomy Education Journal
University of North Carolina at Chapel Hill (US), University of Mary Washington (US)
Openalex Percentile: Top 85%
Astronomy and Astrophysical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantitative Astrophotography: Interpreting Astrophysics from Star-Formation Regions — D. Reichart, Matthew C. Fleenor, et al. · Astronomy Education Journal (2024) | TGRS Research Map | TGRS