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September 12, 2025The Astrophysical JournalOpen Access

Capturing Star Formation Activity from Compressed Photometric Images of Galaxies

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Novel method identifies star formation in galaxies using photometric images, suggesting efficient diagnostics.

The method effectively classifies star-forming galaxies based on photometric images without spectroscopic analysis.
Using 124,000 optical color composite images, the study demonstrates the capability of JPEG images in identifying galaxy activity.
The novel technique leverages the vision transformer machine learning model for efficient classification.
Implications include potential applications in large-scale surveys like the Dark Energy Survey and the Legacy Survey.

Oh et al. (2025) studied this question.

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