3 papers
astro-ph.CO2026
Standard Reconstruction Shifts the Optimal Input Scale for CNN-Based Density-Field Reconstruction
Koichiro Nakashima, Kiyotomo Ichiki, Atsushi J. Nishizawa
We investigate convolutional neural network (CNN) methods for reconstructing the high-redshift density field from late-time large-scale structure, focusing on how the physical scal…
astro-ph.CO2025
Searching optimal scales for reconstructing cosmological initial conditions using convolutional neural networks
Koichiro Nakashima, Kiyotomo Ichiki, Atsushi J. Nishizawa +1
Reconstructing the initial density field of the Universe from the late-time matter distribution is a nontrivial task with implications for understanding structure formation in cosm…
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-dimensiona…