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Episodic accretion onto a protostar

Published online by Cambridge University Press:  20 January 2023

Tomoyuki Hanawa Open the ORCID record for Tomoyuki Hanawa [Opens in a new window] ,
Nami Sakai Open the ORCID record for Nami Sakai [Opens in a new window]  and
Satoshi Yamamoto Open the ORCID record for Satoshi Yamamoto [Opens in a new window]
Tomoyuki Hanawa
Affiliation:
Center for Frontier Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan email: hanawa@faculty.chiba-u.jp
Nami Sakai
Affiliation:
RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan email: nami.sakai@riken.jp
Satoshi Yamamoto
Affiliation:
Department of Physics, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan email: yamamoto@taurus.phys.s.u-tokyo.ac.jp
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Abstract

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We introduce hydrodynamic simulations in which a protostar captures a cloudlet with a relatively small angular momentum. The cloudlet accretes onto the protostar and perturbs the gas disk rotating around the protostar. This cloudlet capture can reproduce some features observed in the molecular emission lines from TMC-1A. First, the cloudlet can reproduce the blue asymmetry observed in the CS emission. Second, the cloudlet can explain the slow infall observed in the C18O emission. Third, the impact of the cloudlet can explain the offset of the SO emission from the disk center. We also argue that a warm gas should confine the cloudlet through pressure. A protostar may obtain substantial mass by capturing cloudlets.

Keywords

Young stellar objectsInterstellar mediumInterstellar moleculesProtostarsStar formation
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 16 , Symposium S362: The Predictive Power of Computational Astrophysics as a Discovery Tool , June 2020 , pp. 288 - 293
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

References

Aso, Y., Ohashi, N., Saigo, K. et al. 2015, ApJ, 812, 27 Google Scholar
Dullemond, C.P., Küffmeier, M., Goikovic, F. et al. 2019, A&Ap, 628. A20 Google Scholar
Garufi, A., Podio, L. Codella, C. et al. 2022, A&Ap, 658, A104.Google Scholar
Hanawa, T., Matsumoto, Y. 2021, ApJ, 907, 43 Google Scholar
Hanawa, T., Sakai, N., Yamamoto, S. 2022, ApJ, 932, 122.CrossRefGoogle Scholar
Küffmeier, M., Goicovic, F.G., Dullemond, C.P. 2020, A&Ap, 633, 3 Google Scholar
Küffmeier, M., Dullemond, C.P., Reissi, S., Goicovic, F.G 2020, A&Ap, 656, 161 Google Scholar
Sakai, N., Oya, Y., Lópezz Sepulcre, A. et al. 2016, ApJ (Letters), 820, L34 CrossRefGoogle Scholar
Yen, H.-W., Takakuwa, S., Ohashi, N. et al. 2014, ApJ, 793, 1 CrossRefGoogle Scholar