Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Imran Sultan"'
Autor:
Lindsey Byrne, Claude-André Faucher-Giguère, Sarah Wellons, Philip F. Hopkins, Daniel Anglés-Alcázar, Imran Sultan, Nastasha Wijers, Jorge Moreno, Sam Ponnada
Publikováno v:
The Astrophysical Journal, Vol 973, Iss 2, p 149 (2024)
Feedback from supermassive black holes is believed to be a critical driver of the observed color bimodality of galaxies above the Milky Way mass scale. Active galactic nuclei (AGN) feedback has been modeled in many galaxy formation simulations, but m
Externí odkaz:
https://doaj.org/article/c91948e4a5a1473bbc5a638dab3e270e
Autor:
Nastasha A. Wijers, Claude-André Faucher-Giguère, Jonathan Stern, Lindsey Byrne, Imran Sultan
Publikováno v:
The Astrophysical Journal, Vol 973, Iss 2, p 99 (2024)
The properties of warm-hot gas around ∼ L _* galaxies can be studied with absorption lines from highly ionized metals. We predict Ne viii column densities from cosmological zoom-in simulations of halos with masses in ∼10 ^12 and ∼10 ^13 M _☉
Externí odkaz:
https://doaj.org/article/155e991aa33f4b07833edab8fb7a1c4c
Publikováno v:
The Egyptian Journal of Internal Medicine, Vol 34, Iss 1, Pp 1-6 (2022)
Abstract Background Primary IgA nephropathy (IgAN) has variable distribution and clinicopathological spectrum throughout the world. We report the incidence, demographic, and clinicopathological profile of primary IgAN from a tertiary care center in N
Externí odkaz:
https://doaj.org/article/c52a6cd4e02e43e58581530af603a950
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Roy, Nitai, Islam, Md. Nazrul, Shahjalal, Md., Siddiky, Aysha, Imran, Sultan Mahmud, Aktarujjaman, Md., Hossain, Md. Mobarak, Rogers, Bryan T., Biswas, Kamal Krishna, Hossain, Ekhtear
Publikováno v:
Epidemiologia; Jun2024, Vol. 5 Issue 2, p146-159, 14p
Autor:
Imran Sultan Kalawi
Publikováno v:
Journal of Tikrit University for Humanities. 29:31-50
يلعب التسويق دورا كبيرا في تقدم المجتمعات فضلاً عن المؤسسات، والمجتمع الذي يبتغي الإسلام كبقية المجتمعات، يسعى دائما إلى تحقيق التقدم و
Publikováno v:
Indian Journal of Clinical Anatomy and Physiology. 5:107-111
Introduction: Morphology and statistical analysis of proximal femoral anthropometry among different populations reveals a great amount of variation. Operations on the proximal femur are one of the commonest in orthopaedic surgical practice. The aim o
Autor:
Patricia Larsen, Imran Sultan, Eve Kovacs, Katrin Heitmann, Esteban Rangel, Nicholas Frontiere, Salman Habib
This paper introduces SMACC -- Subhalo Mass-loss Analysis using Core Catalogs. SMACC adds a mass model to substructure merger trees based on halo "core tracking." Our approach avoids the need for running expensive subhalo finding algorithms and inste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::238f5b0422c5d5975c81048a1f1d6eea
http://arxiv.org/abs/2012.09262
http://arxiv.org/abs/2012.09262
Autor:
Nicholas Frontiere, Katrin Heitmann, Esteban Rangel, Patricia Larsen, Adrian Pope, Imran Sultan, Thomas Uram, Salman Habib, Silvio Rizzi, Joe Insley
Publikováno v:
The Astrophysical Journal Supplement Series. 259:15
In this paper we introduce the Farpoint simulation, the latest member of the Hardware/Hybrid Accelerated Cosmology Code (HACC) gravity-only simulation family. The domain covers a volume of (1000h −1 Mpc)3 and evolves close to two trillion particles
Autor:
Salman Habib, Thomas D. Uram, Nicholas Frontiere, Janet Y. K. Knowles, Patricia Larsen, Joseph A. Insley, Esteban Rangel, Katrin Heitmann, Hal Finkel, Imran Sultan, Eve Kovacs, Adrian Pope, Silvio Rizzi, Danila Korytov
The Last Journey is a large-volume, gravity-only, cosmological N-body simulation evolving more than 1.24 trillion particles in a periodic box with a side-length of 5.025Gpc. It was implemented using the HACC simulation and analysis framework on the B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f67fc0afb01b027c253ded629dd3473