PCA of 25 molecular lines across 1001 Orion B cores reveals that chemical diversity is driven by column density, the FUV-to-density ratio G0/n, and freeze-out signatures tied to mean density.
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2 Pith papers cite this work, alongside 5 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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Chemical diversity of dense cores in Orion B: The role of the environment
PCA of 25 molecular lines across 1001 Orion B cores reveals that chemical diversity is driven by column density, the FUV-to-density ratio G0/n, and freeze-out signatures tied to mean density.
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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.