2 papers
astro-ph.IM2026
astromorph: Self-supervised machine learning pipeline for astronomical morphology analysis
Per Bjerkeli, Jouni Kainulainen, Maria Carmen Toribio +2
Modern telescopes generate increasingly large and diverse datasets, often consisting of complex and morphologically rich structures. To efficiently explore such data requires autom…
astro-ph.SR2025
Mid-infrared extinction curve for protostellar envelopes from JWST-detected embedded jet emission: the case of TMC1A
K. D. Assani, Z. -Y. Li, J. P. Ramsey +15
Context: Dust grains are key components of the interstellar medium and play a central role in star formation, acting as catalysts for chemical reactions and as building blocks of p…