Kavli Affiliate: Huawei Zhang | First 5 Authors: Weixiang Sun, Yang Huang, Han Shen, Chun Wang, Huawei Zhang | Summary: We present a comprehensive study of the kinematic properties of the different Galactic disk populations, as defined by the chemical abundance ratios and stellar ages, across a large disk volume (4.5 $leq$ R $leq$ 15.0 […]

Kavli Affiliate: Huawei Zhang | First 5 Authors: Weixiang Sun, Yang Huang, Han Shen, Chun Wang, Huawei Zhang | Summary: We present a comprehensive study of the kinematic properties of the different Galactic disk populations, as defined by the chemical abundance ratios and stellar ages, across a large disk volume (4.5 $leq$ R $leq$ 15.0 […]

Kavli Affiliate: Huawei Zhang | First 5 Authors: Weixiang Sun, Yang Huang, Han Shen, Chun Wang, Huawei Zhang | Summary: We present a comprehensive study of the kinematic properties of the different Galactic disk populations, as defined by the chemical abundance ratios and stellar ages, across a large disk volume (4.5 $leq$ R $leq$ 15.0 […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing deep learning models to time series forecasting. From a data generation perspective, we illustrate that existing models are susceptible to distribution shifts driven by temporal contexts, whether […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing deep learning models to time series forecasting. From a data generation perspective, we illustrate that existing models are susceptible to distribution shifts driven by temporal contexts, whether […]

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Seok-Jun Chang, Nicole Arulanantham, Max Gronke, Gregory J. Herczeg, Edwin A. Bergin | Summary: Lyman-$alpha$ (Ly$alpha$) is the strongest emission line in UV spectra from T-Tauri stars. Due to its resonant nature, Ly$alpha$ emission carries information about the physical properties of the H I medium via […]

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Seok-Jun Chang, Nicole Arulanantham, Max Gronke, Gregory J. Herczeg, Edwin A. Bergin | Summary: Lyman-$alpha$ (Ly$alpha$) is the strongest emission line in the accretion-generated UV spectra from T-Tauri stars and, as such, plays a critical role in regulating chemistry within the surrounding protoplanetary disks. Due to […]

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Chengyan Xie, Ilaria Pascucci, Feng Long, Klaus M. Pontoppidan, Andrea Banzatti | Summary: We present an analysis of the JWST/MIRI-MRS spectrum of Sz114, an accreting M5 star surrounded by a large dust disk with a gap at ~39au. The spectrum is molecular-rich: we report the detection […]