Zobrazeno 1 - 10
of 8 580
pro vyhledávání: '"Tan, A C"'
Autor:
Cosentino, G., Jiménez-Serra, I., Barnes, A. T., Tan, J. C., Fontani, F., Caselli, P., Henshaw, J. D., Law, C. Y., Viti, S., Fedriani, R., Hsu, C. -J., Gorai, P., Zeng, S., De Simone, M.
How Supernova Remnant (SNR) shocks impact nearby molecular clouds is still poorly observationally constrained. It is unclear if SNRs can positively or negatively affect clouds star formation potential. We have studied the dense gas morphology and kin
Externí odkaz:
http://arxiv.org/abs/2411.16459
Autor:
Taniguchi, Kotomi, Gorai, Prasanta, Tan, Jonathan C., Gomez-Garrido, Miguel, Fedriani, Ruben, Yang, Yao-Lun, Sridharan, T. K., Tanaka, Kei, Saito, Masao, Zhang, Yichen, Morgan, Lawrence, Cosentino, Giuliana, Law, Chi-Yan
Evidence for similar chemical characteristics around low- and high-mass protostars has been found: in particular, a variety of carbon-chain species and complex organic molecules (COMs) are formed around them. On the other hand, the chemical compositi
Externí odkaz:
http://arxiv.org/abs/2410.23392
How embedded, actively accreting low-mass protostars accrete their mass is still greatly debated. Observations are now piecing together the puzzle of embedded protostellar accretion, in particular with new facilities in the near-infrared. However, hi
Externí odkaz:
http://arxiv.org/abs/2410.14777
Autor:
Crowe, Samuel, Fedriani, Rubén, Tan, Jonathan C., Kinman, Alva, Zhang, Yichen, Andersen, Morten, Ferres, Lucía Bravo, Nogueras-Lara, Francisco, Schödel, Rainer, Bally, John, Ginsburg, Adam, Cheng, Yu, Yang, Yao-Lun, Kendrew, Sarah, Law, Chi-Yan, Armstrong, Joseph, Li, Zhi-Yun
We present James Webb Space Telescope (JWST)-NIRCam observations of the massive star-forming molecular cloud Sagittarius C (Sgr C) in the Central Molecular Zone (CMZ). In conjunction with ancillary mid-IR and far-IR data, we characterize the two most
Externí odkaz:
http://arxiv.org/abs/2410.09253
Accurately measuring magnetic field strength in the interstellar medium, including giant molecular clouds (GMCs), remains a significant challenge. We present a machine learning approach using Denoising Diffusion Probabilistic Models (DDPMs) to estima
Externí odkaz:
http://arxiv.org/abs/2410.07032
Most stars are born in the crowded environments of gradually forming star clusters. Dynamical interactions between close-passing stars and the evolving UV radiation fields from proximate massive stars are expected to sculpt the protoplanetary discs i
Externí odkaz:
http://arxiv.org/abs/2409.12378
Determining the physical processes that control galactic-scale star formation rates is essential for an improved understanding of galaxy evolution. The role of orbital shear is currently unclear, with some models expecting reduced star formation rate
Externí odkaz:
http://arxiv.org/abs/2409.07622
Autor:
Armstrong, Joseph J., Tan, Jonathan C.
Context. Most stars form in clusters or associations but only a small number of these groups are expected to remain bound for longer than a few Myr. Once star formation has ended and the molecular gas around young stellar objects has been expelled vi
Externí odkaz:
http://arxiv.org/abs/2407.11845
Autor:
Cammelli, Vieri, Monaco, Pierluigi, Tan, Jonathan C., Singh, Jasbir, Fontanot, Fabio, De Lucia, Gabriella, Hirschmann, Michaela, Xie, Lizhi
We present an implementation of Pop III.1 seeding of supermassive black holes (SMBHs) in a theoretical model of galaxy formation and evolution to assess the growth the SMBH population and the properties of the host galaxies. The model of Pop III.1 se
Externí odkaz:
http://arxiv.org/abs/2407.09949
Autor:
McCarthy, Robert, Tan, Daniel C. H., Schmidt, Dominik, Acero, Fernando, Herr, Nathan, Du, Yilun, Thuruthel, Thomas G., Li, Zhibin
Scaling deep learning to massive, diverse internet data has yielded remarkably general capabilities in visual and natural language understanding and generation. However, data has remained scarce and challenging to collect in robotics, seeing robot le
Externí odkaz:
http://arxiv.org/abs/2404.19664