Zobrazeno 1 - 10
of 641
pro vyhledávání: '"Li Jiadong"'
The Stellar Initial Mass Function (IMF) characterizes the mass distribution of newly formed stars in various cosmic environments, serving as a fundamental assumption in astrophysical research. Recent findings challenge the prevalent notion of a unive
Externí odkaz:
http://arxiv.org/abs/2405.05308
Autor:
Xie, Yushan, Shan, Huanyuan, Li, Nan, Li, Ran, Jullo, Eric, Su, Chen, Cao, Xiaoyue, Kneib, Jean-Paul, Acebron, Ana, He, Mengfan, Yao, Ji, Wang, Chunxiang, Li, Jiadong, Li, Yin
Cluster-scale strong lensing is a powerful tool for exploring the properties of dark matter and constraining cosmological models. However, due to the complex parameter space, pixelized strong lens modeling in galaxy clusters is computationally expens
Externí odkaz:
http://arxiv.org/abs/2405.03135
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 12, Pp 69-72 (2018)
Systemic research has been done on the thesis of far field sound source localization combined characteristics of the speech signal in this paper. An improved MUSIC algorithm is proposed based on the traditional MUSIC algorithm in far-field of microph
Externí odkaz:
https://doaj.org/article/939902f1c8eb43258c13fda7f884f2ca
Autor:
Pang, Xiaoying, Liao, Siqi, Li, Jiadong, Yan, Zhiqiang, Jian, Mingjie, Kouwenhoven, M. B. N., Tang, Shih-Yun, Wang, Yifan
This work analyses the present-day mass function (PDMF) of 93~star clusters utilizing Gaia DR3 data, with membership determined by the StarGo machine learning algorithm. The impact of unresolved binary systems on mass estimation is rigorously assesse
Externí odkaz:
http://arxiv.org/abs/2403.08850
Autor:
Zhao, Xin, Hu, Shiyu, Wang, Yipei, Zhang, Jing, Hu, Yimin, Liu, Rongshuai, Ling, Haibin, Li, Yin, Li, Renshu, Liu, Kun, Li, Jiadong
Publikováno v:
Int J Comput Vis (2023)
Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented reality, and robot navigation. The robustness of SOT faces two main challenges: tiny target and fast
Externí odkaz:
http://arxiv.org/abs/2402.04519
Autor:
Yang, Xiang-Ming, Bird, Sarah A., Li, Jiadong, Tian, Hai-Jun, Qiu, Dan, Li, Jia-Peng, Li, Cheng-Yuan, Liu, Gao-Chao, Zhang, Peng, Zhang, Ju-Yong, Chen, Zhi-Ping
We present a comprehensive investigation on the mass function (MF) of a snake-like stellar structure in the solar neighbourhood, building on our previous discovery. To ensure the reliability of the data, we reselect the member stars of the Stellar ``
Externí odkaz:
http://arxiv.org/abs/2402.04130
Estimating precise metallicity of M dwarfs is a well-known difficult problem due to their complex spectra. In this work, we empirically calibrate the metallicity using wide binaries with a F, G, or K dwarf and a M dwarf companion. With 1308 FGK+M wid
Externí odkaz:
http://arxiv.org/abs/2312.12827
Autor:
Xiong, JianPing, Ding, Xu, Li, Jiadong, Ge, Hongwei, Cheng, Qiyuan, Ji, Kaifan, Han, Zhanwen, Chen, Xuefei
Semi-detached binaries are in the stage of mass transfer and play a crucial role in studying mass transfer physics between interacting binaries. Large-scale time-domain surveys provide massive light curves of binary systems, while Gaia offers high-pr
Externí odkaz:
http://arxiv.org/abs/2311.09752
Autor:
Chandra, Vedant, Semenov, Vadim A., Rix, Hans-Walter, Conroy, Charlie, Bonaca, Ana, Naidu, Rohan P., Andrae, Rene, Li, Jiadong, Hernquist, Lars
We illustrate the formation and evolution of the Milky Way over cosmic time, utilizing a sample of 10 million red giant stars with full chemodynamical information, including metallicities and $\alpha$-abundances from low-resolution Gaia XP spectra. T
Externí odkaz:
http://arxiv.org/abs/2310.13050
We present AspGap, a new approach to infer stellar labels from low-resolution Gaia XP spectra, including precise [$\alpha$/M] estimates for the first time. AspGap is a neural-network based regression model trained on APOGEE spectra. In the training s
Externí odkaz:
http://arxiv.org/abs/2309.14294