Modeling of ALMA observations reveals diverse vertical heights for millimeter dust in six protoplanetary disks, from very thin in T Cha and PDS 111 to extended in DoAr 25, with models failing to match small dust distributions.
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2 Pith papers cite this work, alongside 36 external citations. Polarity classification is still indexing.
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The paper proposes the iSEEDs project to integrate machine learning with astrochemistry for extracting physical conditions and molecular abundances from protostellar disk datasets.
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Diverse dust vertical height and settling strength conditions in protoplanetary discs
Modeling of ALMA observations reveals diverse vertical heights for millimeter dust in six protoplanetary disks, from very thin in T Cha and PDS 111 to extended in DoAr 25, with models failing to match small dust distributions.
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Astrochemical Study of Early Embedded Disks
The paper proposes the iSEEDs project to integrate machine learning with astrochemistry for extracting physical conditions and molecular abundances from protostellar disk datasets.