Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yongseok Jo"'
Autor:
Yongseok Jo, Kyungchul Song, Seok-Jae Heo, Junghwan Suh, Hyun Wook Chae, John Hoon Rim, Yongjung Park, Jong Baek Lim, Ho-Seong Kim, Jeong-Ho Kim
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38245- (2024)
Background and aims: Appropriate continuous reference intervals (RIs) for serum insulin-like growth factor 1 (IGF-1) and insulin-like growth factor-binding protein 3 (IGFBP-3) are important for diagnosing growth hormone deficiency or excess. Material
Externí odkaz:
https://doaj.org/article/a08ff8e0d0f04767a4ca822ecf3df616
Autor:
Jun-Young Lee, Ji-hoon Kim, Minyong Jung, Boon Kiat Oh, Yongseok Jo, Songyoun Park, Jaehyun Lee, Yuan-Sen Ting, Ho Seong Hwang
Publikováno v:
The Astrophysical Journal, Vol 975, Iss 1, p 38 (2024)
We present a proof-of-concept simulation-based inference on Ω _m and σ _8 from the Sloan Digital Sky Survey (SDSS) Baryon Oscillation Spectroscopic Survey (BOSS) LOWZ Northern Galactic Cap (NGC) catalog using neural networks and domain generalizati
Externí odkaz:
https://doaj.org/article/6e650d458a0f46668591b6d495b21295
Publikováno v:
The Astrophysical Journal, Vol 974, Iss 2, p 193 (2024)
We introduce a GPU-accelerated hybrid hydro/ N -body code ( Enzo-N ) designed to address the challenges of concurrently simulating star clusters and their parent galaxies. This task has been exceedingly challenging, primarily due to the considerable
Externí odkaz:
https://doaj.org/article/ead02bcbbf0f4d13acb4ef7db13ae1e5
Autor:
Yueying Ni, Shy Genel, Daniel Anglés-Alcázar, Francisco Villaescusa-Navarro, Yongseok Jo, Simeon Bird, Tiziana Di Matteo, Rupert Croft, Nianyi Chen, Natalí S. M. de Santi, Matthew Gebhardt, Helen Shao, Shivam Pandey, Lars Hernquist, Romeel Dave
Publikováno v:
The Astrophysical Journal, Vol 959, Iss 2, p 136 (2023)
We present CAMELS-ASTRID, the third suite of hydrodynamical simulations in the Cosmology and Astrophysics with MachinE Learning (CAMELS) project, along with new simulation sets that extend the model parameter space based on the previous frameworks of
Externí odkaz:
https://doaj.org/article/04449ab06ba345048ee2d12819457422
Autor:
Yongseok Jo, Shy Genel, Benjamin Wandelt, Rachel S. Somerville, Francisco Villaescusa-Navarro, Greg L. Bryan, Daniel Anglés-Alcázar, Daniel Foreman-Mackey, Dylan Nelson, Ji-hoon Kim
Publikováno v:
The Astrophysical Journal, Vol 944, Iss 1, p 67 (2023)
In a novel approach employing implicit likelihood inference (ILI), also known as likelihood-free inference, we calibrate the parameters of cosmological hydrodynamic simulations against observations, which has previously been unfeasible due to the hig
Externí odkaz:
https://doaj.org/article/53d9e78069684f8080d82cadf087b435
Autor:
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W. K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Federico Marinacci, Mark Vogelsberger
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 265, Iss 2, p 54 (2023)
The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning. CAMELS contains 4233 cosmological
Externí odkaz:
https://doaj.org/article/3325626d077745a3abeb937b84af2f24
The recent discovery of diffuse dwarf galaxies that are deficient in dark matter appears to challenge the current paradigm of structure formation in our Universe. We describe the numerical experiments to determine if the so-called dark matter deficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c62a0474cbab22bbf06aff2d9902591
As computational resolution of modern cosmological simulations reach ever so close to resolving individual star-forming clumps in a galaxy, a need for "resolution-appropriate" physics for a galaxy-scale simulation has never been greater. To this end,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0cebc873b726fcf999e82a908c8e8aa
http://arxiv.org/abs/1910.12888
http://arxiv.org/abs/1910.12888
Autor:
Yongseok Jo, Ji-hoon Kim
We present a pipeline to estimate baryonic properties of a galaxy inside a dark matter (DM) halo in DM-only simulations using a machine trained on high-resolution hydrodynamic simulations. As an example, we use the IllustrisTNG hydrodynamic simulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ac3f7075c510410032e43c8a737c05
http://arxiv.org/abs/1908.09844
http://arxiv.org/abs/1908.09844
Publikováno v:
Astrophysical Journal; 12/20/2019, Vol. 887 Issue 2, p1-1, 1p