Chemical Diagnostics for Tracing the Physical Structures in Disk-Forming Regions

TL;DR

This paper explores how chemical diagnostics, especially sulfur-bearing molecules, can trace physical structures in disk-forming regions, emphasizing the role of machine learning in understanding the physical and chemical evolution during star and planet formation.

Contribution

It proposes using molecular lines as markers for disk structures and highlights the importance of physical characterization and machine learning in analyzing chemical evolution.

Findings

Sulfur-bearing molecules serve as effective tracers for disk structures.

Chemical and physical characterizations are crucial for understanding star formation.

Machine learning can aid in disentangling complex observed structures.

Abstract

To understand the chemical origin of the Solar system, the chemical evolution along the star/planet formation is a key issue. Extensive observational studies have demonstrated a chemical diversity in young low-mass protostellar sources so far. Furthermore, chemical differentiations in the vicinity of the protostars have recently been reported. This suggests that molecular distribution is sensitive to a change in the physical conditions associated with disk formation. Some kinds of molecular lines, especially Sulfur-bearing species, are therefore prospected to work as molecular markers to highlight particular structures of disk-forming regions. Conversely, detailed physical characterization is essential for elucidating the chemical evolution occurring there. Machine learnings may help us to disentangle the observed structures. Angular momentum of the gas is the key topic to understand the structure formation, which is also essential to the integration of the chemical and physical characterization.