ANTIHEROES-PRODIGE: Quantifying the connection from envelope to disk with the IRAM 30m telescope and NOEMA I. Attack of the streamers: L1448N's fight for order in the chaos
C. Gieser, P. Caselli, D.M. Segura-Cox, J.E. Pineda, L.A. Busch, M.T. Valdivia-Mena, M.J. Maureira, Y. Lin, T.H. Hsieh, Y.R. Chou, L. Bouscasse, P.C. Cort\'es, N. Cunningham, A. Dutrey, A. Fuente, Th. Henning, A. Lopez-Sepulcre, J. Miranzo-Pastor, R. Neri, D. Semenov, M. Tafalla

TL;DR
This study uses IRAM 30m and NOEMA observations to analyze the connection between infalling streamers and protostellar envelopes in L1448N, revealing how material accretes onto young stars and the kinematic relationships across scales.
Contribution
It provides detailed kinematic analysis of streamers and their connection to protostars, highlighting the role of asymmetric infall structures in star formation.
Findings
Streamers are linked to large-scale envelope velocities.
Mass infall rates of streamers are quantified.
Some streamers are connected to the protostellar disks.
Abstract
Star formation is a hierarchical process ranging from molecular clouds down to individual protostars. In particular how infalling asymmetric structures, called streamers, delivering new material onto protostellar systems, are connected to the surrounding envelope is not understood. We investigate the connection between the cloud material at 10000 au scales down to 300 au scales towards L1448N in the Perseus star-forming region hosting three young Class 0/I protostellar systems. Sensitive molecular line observations taken with the IRAM 30m telescope and NOEMA at 1.4 mm are used to study the kinematic properties in the region traced by the molecular lines. Several infalling streamers are associated with the protostellar systems, some of them traced by C18O and DCN, while one of them is bright in SO and SO2. The kinematic properties of the former streamers are consistent with the…
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.
