Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jaime Forero-Romero"'
Autor:
Carlos Allende Prieto, David S. Aguado, Jonay I. González Hernández, Rafael Rebolo, Joan Najita, Christopher J. Manser, Constance Rockosi, Zachary Slepian, Mar Mezcua, Monica Valluri, Rana Ezzeddine, Sergey E. Koposov, Andrew P. Cooper, Arjun Dey, Boris T. Gänsicke, Ting S. Li, Katia Cunha, Siwei Zou, Jessica Nicole Aguilar, Steven Ahlen, David Brooks, Todd Claybaugh, Shaun Cole, Sarah Eftekharzadeh, Kevin Fanning, Jaime Forero-Romero, Satya Gontcho A Gontcho, Klaus Honscheid, Pascale Jablonka, Robert Kehoe, Theodore Kisner, Martin Landriau, Axel de la Macorra, Aaron Meisner, Ramón Miquel, John Moustakas, Jundan Nie, Claire Poppett, Francisco Prada, Mehdi Rezaie, Graziano Rossi, Eusebio Sánchez, Michael Schubnell, Ray Sharples, Malgorzata Siudek, Verne V. Smith, Gregory Tarlé, Fiorenzo Vincenzo, Benjamin Alan Weaver, Zhimin Zhou, Hu Zou
Publikováno v:
The Astrophysical Journal, Vol 957, Iss 2, p 76 (2023)
The observations from the Dark Energy Spectroscopic Instrument (DESI) will significantly increase the numbers of known extremely metal-poor stars by a factor of ∼10, improving the sample statistics to study the early chemical evolution of the Milky
Externí odkaz:
https://doaj.org/article/f8ae4b04a7394e6fa3dcda873efa51aa
Autor:
Xiaoyuan Xiao, Yizhao Yang, Xiaolin Luo, Jiacheng Ding, Zhiqi Huang, Xin Wang, Yi Zheng, Cristiano G Sabiu, Jaime Forero-Romero, Haitao Miao, Xiao-Dong Li
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 513:595-603
The mark weighted correlation function (MCF) $W(s,\mu)$ is a computationally efficient statistical measure which can probe clustering information beyond that of the conventional 2-point statistics. In this work, we extend the traditional mark weighte
Publikováno v:
The Astrophysical Journal. 939:16
The kinematics of the Milky Way (MW) and M31, the dominant galaxies in the Local Group (LG), can be used to estimate the LG total mass. New results on the M31 proper motion have recently been used to improve that estimate. Those results are based on
Autor:
Ziyong Wu, Zhenyu Zhang, Shuyang Pan, Haitao Miao, Xiaolin Luo, Xin Wang, Cristiano G. Sabiu, Jaime Forero-Romero, Yang Wang, Xiao-Dong Li
We develop a deep learning technique to infer the non-linear velocity field from the dark matter density field. The deep learning architecture we use is an "U-net" style convolutional neural network, which consists of 15 convolution layers and 2 deco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::facf94a1da50739f55ebcb3d3b383672
http://arxiv.org/abs/2105.09450
http://arxiv.org/abs/2105.09450
Autor:
Jaime Forero-Romero, Farid Char
Publikováno v:
Proceedings of the International Astronomical Union. 11:418-419
The Andean Regional Office of Astronomy for Development (ROAD) is a new effort in South America to serve several goals in astronomical development. The six countries in the Andean ROAD (Bolivia, Colombia, Chile, Ecuador, Peru and Venezuela) represent