Zobrazeno 1 - 10
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pro vyhledávání: '"Wang, Yu Chen"'
The Varying Speed of Light (VSL) model describes how the speed of light in a vacuum changes with cosmological redshift. Despite numerous models, there is little observational evidence for this variation. While the speed of light can be accurately mea
Externí odkaz:
http://arxiv.org/abs/2409.03248
Autor:
Zhao, Dingyi, Peng, Yingjie, Jing, Yipeng, Yang, Xiaohu, Ho, Luis C., Renzini, Alvio, Gallazzi, Anna R., Lyu, Cheqiu, Maiolino, Roberto, Dou, Jing, Gao, Zeyu, Gu, Qiusheng, Mannucci, Filippo, Mo, Houjun, Wang, Bitao, Wang, Enci, Wang, Kai, Wang, Yu-Chen, Xu, Bingxiao, Yuan, Feng, Zhu, Xingye
In $\Lambda$CDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo-galaxy connection. The abundance matching (AM) technique has been widely used to derive the halo masses of galax
Externí odkaz:
http://arxiv.org/abs/2408.12442
Autor:
Gao, Zeyu, Peng, Yingjie, Wang, Kai, Ho, Luis C., Renzini, Alvio, Gallazzi, Anna R., Mannucci, Filippo, Mo, Houjun, Jing, Yipeng, Yang, Xiaohu, Wang, Enci, Zhao, Dingyi, Dou, Jing, Gu, Qiusheng, Lyu, Cheqiu, Maiolino, Roberto, Wang, Bitao, Wang, Yu-Chen, Xu, Bingxiao, Yuan, Feng, Zhu, Xingye
The spectral energy distribution (SED) of galaxies is essential for deriving fundamental properties like stellar mass and star formation history (SFH). However, conventional methods, including both parametric and non-parametric approaches, often fail
Externí odkaz:
http://arxiv.org/abs/2408.07749
Publikováno v:
Physics of the Dark Universe 46 (2024) 101670
For dark matter (DM) direct detections, the kinematic effects such as those of the inelastic scattering can play important role in light DM searches. The light DM detection is generally difficult because of its small recoil energy. But the recoil ene
Externí odkaz:
http://arxiv.org/abs/2403.03128
Autor:
Zhang, Tong-Jie, Huang, Bo-Lun, Li, Jian-Kang, Tao, Zhen-Zhao, Luan, Xiao-Hang, Zhang, Zhi-Song, Wang, Yu-Chen
Publikováno v:
Journal of Physics: Conference Series 2877 (2024) 012053
Since the commencement of the first SETI observation in 2019, China's Search for Extraterrestrial Intelligence program has garnered momentum through domestic support and international collaborations. Several observations targeting exoplanets and near
Externí odkaz:
http://arxiv.org/abs/2312.16847
Autor:
Wang, Yu-Chen, Tao, Zhen-Zhao, Zhang, Zhi-Song, Lyu, Cheqiu, Zhang, Tingting, Zhang, Tong-Jie, Werthimer, Dan
The "search for extraterrestrial intelligence" (SETI) commensal surveys aim to scan the sky to find possible technosignatures from the extraterrestrial intelligence (ETI). The mitigation of radio frequency interference (RFI) is an important step, esp
Externí odkaz:
http://arxiv.org/abs/2305.16356
Publikováno v:
The Astrophysical Journal Supplement Series, Volume 268, Issue 2, id.67, 16 pp.(2023)
Cosmology constraints serve as a crucial criterion in discriminating cosmological models. The traditional combined method to constrain the cosmological parameters designates the corresponding theoretical value and observational data as functions of r
Externí odkaz:
http://arxiv.org/abs/2305.08047
Gaussian Process (GP) has gained much attention in cosmology due to its ability to reconstruct cosmological data in a model-independent manner. In this study, we compare two methods for GP kernel selection: Approximate Bayesian Computation (ABC) Reje
Externí odkaz:
http://arxiv.org/abs/2304.03911
Publikováno v:
Physical Review D Vol.107,No.6,063517 (2023)
In the procedure of constraining the cosmological parameters with the observational Hubble data and the type Ia supernova data, the combination of Masked Autoregressive Flow and Denoising Autoencoder can perform a good result. The above combination e
Externí odkaz:
http://arxiv.org/abs/2211.05064
Autor:
Pandiyan, Archana a, 1, Vengudusamy, Renganathan b, 1, Veeramuthu, Loganathan a, Muthuraman, Amirthavarshini a, Wang, Yu-Chen a, Lee, Hyunjin c, Zhou, Tao c, d, ⁎, Kao, C.R. b, ⁎⁎, Kuo, Chi-Ching a, e, ⁎⁎⁎
Publikováno v:
In Nano Energy January 2025 133
