Implementation of Rare Isotopologues into Machine Learning of the Chemical Inventory of the Solar-Type Protostellar Source IRAS 16293-2422

Abstract

Machine learning techniques have been previously used to model and predict column densities in the TMC-1 dark molecular cloud. In interstellar sources further along the path of star formation, such as those where a protostar itself has been formed, the chemistry is known to be drastically different from that of largely quiescent dark clouds. To that end, we have tested the ability of various machine learning models to fit the column densities of the molecules detected in source B of the Class 0 protostellar system IRAS 16293-2422. By including a simple encoding of isotopic composition in our molecular feature vectors, we also examine for the first time how well these models can replicate the isotopic ratios. Finally, we report the predicted column densities of the chemically relevant molecules that may be excellent targets for radioastronomical detection in IRAS 16293-2422B.

Accepted for publication in Digital Discovery. 18 pages, 8 figures, 5 tables

References in corpus (15)

• The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
• Complex Chemistry in Star-Forming Regions: An Expanded Gas-Grain Warm-up Chemical Model
• The ALMA Protostellar Interferometric Line Survey (PILS): First results from an unbiased submillimeter wavelength line survey of the Class 0 protostellar binary IRAS 16293-2422 with ALMA
• The 2014 KIDA network for interstellar chemistry
• Experimental evidence for Glycolaldehyde and Ethylene Glycol formation by surface hydrogenation of CO molecules under dense molecular cloud conditions
• Atom addition reactions in interstellar ice analogues
• Detection of interstellar hydrogen peroxide
• Detection of the hydroperoxyl radical HO2 toward ρOph A: Additional constraints on the water chemical network
• Orbital and mass constraints of the young binary system IRAS 16293-2422 A
• The ALMA-PILS survey: First detection of nitrous acid (HONO) in the interstellar medium
• Detection of HC${}_5$N and HC${}_7$N Isotopologues in TMC-1 with the Green Bank Telescope
• Orion Source I's disk is salty
• The ALMA-PILS survey: First tentative detection of 3-hydroxypropenal (HOCHCHCHO) in the interstellar medium and chemical modeling of the C${}_3$H${}_4$O${}_2$ isomers
• Machine Learning of Interstellar Chemical Inventories
• The ALMA-PILS survey: propyne (CH${}_3$CCH) in IRAS 16293$-$2422

Cited by in corpus (1)

• Isotopomer-Specific Carbon Isotope Ratio of Complex Organic Molecules in Star-Forming Cores