MINDS: The very low-mass star and brown dwarf sample. Detections and trends in the inner disk gas
A. M. Arabhavi, I. Kamp, Th. Henning, E. F. van Dishoeck, H. Jang, L. B. F. M. Waters, V. Christiaens, D. Gasman, I. Pascucci, G. Perotti, S. L. Grant, M. G\"udel, P.-O. Lagage, D. Barrado, A. Caratti o Garatti, F. Lahuis, T. Kaeufer, J. Kanwar, M. Morales-Calder\'on, K. Schwarz

TL;DR
This study analyzes JWST MIRI spectra of 10 very low-mass star and brown dwarf disks, revealing rich molecular compositions, correlations among molecules, and evidence for rapid inward solid transport affecting disk chemistry and evolution.
Contribution
First comprehensive JWST MIRI spectral analysis of VLMS disks, revealing molecular richness and chemical trends related to disk evolution and composition.
Findings
All disks show molecular emission, including hydrocarbons and oxygen-bearing molecules.
Hydrocarbon-rich disks have weaker dust features and lower dust mass.
Potential C/O ratio increase with disk age, indicating chemical evolution.
Abstract
Planet-forming disks around brown dwarfs and very low-mass stars (VLMS) are on average less massive and are expected to undergo faster radial solid transport than their higher mass counterparts. Spitzer had detected CH, CO and HCN around these objects. With better sensitivity and spectral resolving power, JWST recently revealed incredibly carbon-rich spectra from such disks. A study of a larger sample of objects is necessary to understand how common such carbon-rich inner disk regions are and to put constraints on their evolution. We present and analyze MIRI observations of 10 disks around VLMS from the MIRI GTO program. This sample is diverse, with the central object ranging in mass from 0.02 to 0.14 . They are located in three star-forming regions and a moving group (1-10 Myr). We identify molecular emission in all sources and report detection rates. We compare…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
