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20202026
most citedOsaka Feedback Model II: Modeling Supernova Feedback Based on High-Resolution Simulations

32 citations · 50 across the 22 of their papers we have counts for

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6 papers · 1 filter

astro-ph.CO2025

Cosmic Himalayas in CROCODILE : Probing the Extreme Quasar Overdensities by Count-in-Cells analysis and Nearest Neighbor Distribution

Yuto Kuwayama, Yongming Liang, Kentaro Nagamine +7

The recently reported Cosmic Himalayas (CH) -- an extreme quasar overdensity at z~2 -- poses an apparent challenge to the Lambda CDM framework, with a reported significance of 16.9…

astro-ph.CO2025

Recombination Clumping Factor of Physically Defined Intergalactic Medium at the Epoch of Reionization

Yuri Oku, Renyue Cen

The recombination clumping factor, , is a key parameter in modeling cosmic reionization, but its value is sensitive to the definition of the Intergalactic Medium (IGM). We inves…

astro-ph.CO2025

Probing the Cosmic Baryon Distribution and the Impact of Active Galactic Nuclei Feedback with Fast Radio Bursts in CROCODILE Simulation

Zhao Joseph Zhang, Kentaro Nagamine, Yuri Oku +6

We investigate the Missing Baryon problem using Fast Radio Bursts (FRBs) to trace cosmic baryons. Our CROCODILE simulations, performed with the GADGET3/4-OSAKA smoothed particle hy…

astro-ph.CO2024

Lyman- forest power spectrum and its cross-correlation with dark matter halos in different astrophysical models

Koichiro Nakashima, Atsushi J. Nishizawa, Kentaro Nagamine +2

The Ly forest, a series of HI absorption lines in the quasar spectra, is a powerful tool for probing the large-scale structure of the intergalactic medium. Its three-dimensional…

astro-ph.CO2024

The negative BAO shift in the Ly forest from cosmological simulations

Francesco Sinigaglia, Francisco-Shu Kitaura, Kentaro Nagamine +1

We present the first measurement of the Ly forest BAO shift parameter from cosmological simulations. In particular, we generate a suite of accurate effective field-level…

astro-ph.CO2023

Field-level Lyman-alpha forest modelling in redshift space via augmented non-local Fluctuating Gunn-Peterson Approximation

Francesco Sinigaglia, Francisco-Shu Kitaura, Kentaro Nagamine +2

We present an improved analytical model to predict the Lyman-alpha forest at the field level in redshift space from the dark matter field, expanding upon the widely-used Fluctuatin…