From the 1 of 7 linked papers with an AI index.
7 citations · 7 across the 4 of their papers we have counts for
7 papers
Accretion Burst Crystallizes Silicates in a Planet-Forming Disk
Jeong-Eun Lee, Chul-Hwan Kim, Jaeyeong Kim +13
The paper reports JWST mid‑infrared observations of the bursting protostar EC 53 that reveal crystalline silicate emission appearing only during an accretion burst, providing direc…
EPISODE II: Variability in the CO and HO rovibrational absorption lines in a periodically variable protostar EC 53
Seokho Lee, Jeong-Eun Lee, Chul-Hwan Kim +19
We present two-epoch JWST NIRSpec and MIRI observations of the young protostar EC 53 (V371 Ser), a periodically variable source with well-characterized quiescent and burst phases.…
7DT Insight: Variability in Young Stellar Objects
Mi-Ryang Kim, Jeong-Eun Lee, Myungshin Im +11
Photometric variability in young stellar objects (YSOs) provides critical insight into the mechanisms of mass accretion, disk evolution, and circumstellar extinction in early stell…
CORINOS V: Radiative transfer effects in protostellar ice observations
Will E. Thompson, Jennifer B. Bergner, Neal J. Evans +11
Recent observations of protostars with the James Webb Space Telescope have revealed unprecedented chemical complexity from their ice absorption features. However, these spectra are…
ALMA Band 7 Observations of Water Lines in the Protoplanetary Disk of V883 Ori
Hiroto Nakasone, Shota Notsu, Tomohiro C. Yoshida +8
The FU Orionis star V883 Ori provides a unique opportunity to probe the water snowline in a protoplanetary disk. During an accretion burst, the enhanced stellar luminosity heats th…
Refined classification of YSOs and AGB stars by IR magnitudes, colors, and time-domain analysis with machine learning
Hyunwook Jheonn, Jeong-Eun Lee, Jinho Lee +5
We introduce a binary classification model, {\it the Double Filter Model}, utilizing various machine learning and deep learning methods to classify Young Stellar Objects (YSOs) and…