Zobrazeno 1 - 10
of 64
pro vyhledávání: '"GuanWen Fang"'
Autor:
Jie Song, GuanWen Fang, Shuo Ba, Zesen Lin, Yizhou Gu, Chichun Zhou, Tao Wang, Cai-Na Hao, Guilin Liu, Hongxin Zhang, Yao Yao, Xu Kong
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 272, Iss 2, p 42 (2024)
Morphological classification conveys abundant information on the formation, evolution, and environment of galaxies. In this work, we refine a two-step galaxy morphological classification framework ( USmorph ), which employs a combination of unsupervi
Externí odkaz:
https://doaj.org/article/897db1559fc8433da0ecfa9ec728ba1f
Autor:
Shuairu Zhu, Zhen-Ya Zheng, James Rhoads, Junxian Wang, Linhua Jiang, Chunyan Jiang, Fang-Ting Yuan, P. T. Rahna, Weida Hu, Ruqiu Lin, Huanyuan Shan, Chun Xu, Leopoldo Infante, L. Felipe Barrientos, Xianzhong Zheng, Guanwen Fang, Zhixiong Liang
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 271, Iss 1, p 5 (2024)
We present the first results of the Hubble Deep Hydrogen Alpha (HDH α ) project, which analyzes the space-borne deep H α narrowband imaging data in the GOODS-S region. The HDH α data comprises 72 orbits’ images taken with the Hubble Space Telesc
Externí odkaz:
https://doaj.org/article/4d1422682ad7468aa26b8700df54563f
Publikováno v:
The Astrophysical Journal, Vol 958, Iss 1, p 82 (2023)
By utilizing the spatially resolved photometry of galaxies at 0.2 < z < 3.0 in the CEERS field, we estimate the resolved and unresolved stellar mass via fitting of the spectral energy distribution (SED) to study the discrepancy between them. We first
Externí odkaz:
https://doaj.org/article/31733cef477349c08cdd312ddd94bf1e
Autor:
Yao Dai, Jun Xu, Jie Song, Guanwen Fang, Chichun Zhou, Shuo Ba, Yizhou Gu, Zesen Lin, Xu Kong
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 268, Iss 1, p 34 (2023)
By applying our previously developed two-step scheme for galaxy morphology classification, we present a catalog of galaxy morphology for H -band-selected massive galaxies in the COSMOS-DASH field, which includes 17,292 galaxies with stellar mass M _
Externí odkaz:
https://doaj.org/article/280a5590c85545c0917b2c3d65204b0d
Publikováno v:
The Astrophysical Journal, Vol 954, Iss 2, p 113 (2023)
Galaxy morphology is one of the most fundamental ways to describe galaxy properties, but the morphology we observe may be affected by wavelength and spatial resolution, which may introduce systematic bias when comparing galaxies at different redshift
Externí odkaz:
https://doaj.org/article/93e4d12274c94138ae57b79e066f312a
Publikováno v:
The Astrophysical Journal, Vol 950, Iss 2, p 130 (2023)
How the environment influences the most massive galaxies is still unclear. To explore the effects of the environment on morphology and star formation in the most massive galaxies at high redshift, we select galaxies with stellar mass $\mathrm{log}({M
Externí odkaz:
https://doaj.org/article/ba7c13edffcf406eb8c0bb3bfe52083d
Autor:
GuanWen Fang, Shuo Ba, Yizhou Gu, Zesen Lin, Yuejie Hou, Chenxin Qin, Chichun Zhou, Jun Xu, Yao Dai, Jie Song, Xu Kong
Publikováno v:
The Astronomical Journal, Vol 165, Iss 2, p 35 (2023)
Classification of galaxy morphology is a challenging but meaningful task for the enormous amount of data produced by the next-generation telescope. By introducing the adaptive polar-coordinate transformation, we develop a rotationally-invariant super
Externí odkaz:
https://doaj.org/article/69a82d02b5bf4f529b112d1acd7e9d43
The non-linear relationship between the monochromatic X-ray and UV luminosities in quasars offers the possibility of using high-z quasars as standard candles for cosmological testing. In this paper, we use a high-quality catalog of 1598 quasars exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c50f478f3241a23db5fed3008baa6a5
http://arxiv.org/abs/2306.16828
http://arxiv.org/abs/2306.16828
Publikováno v:
Publications of the Astronomical Society of the Pacific. 135:014102
We presented the multiwavelength analysis of a heavily obscured active galactic nucleus (AGN) in NGC 449. We first constructed a broadband X-ray spectrum using the latest NuSTAR and XMM-Newton data. Its column density ($\simeq 10^{24} \rm{cm}^{-2}$)
In order to obtain morphological information of unlabeled galaxies, we present an unsupervised machine-learning (UML) method for morphological classification of galaxies, which can be summarized as two aspects: (1) the methodology of convolutional au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32260559e2a22ea6b61c4fb6a3bc3e3c
http://arxiv.org/abs/2112.13957
http://arxiv.org/abs/2112.13957