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Titlebook: Large-Scale Structure of the Universe; Cosmological Simulat Kana Moriwaki Book 2022 The Editor(s) (if applicable) and The Author(s), under

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樓主: Malnutrition
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發(fā)表于 2025-3-23 11:00:23 | 只看該作者
Kana Moriwakieading school in German academic philosophy and in German Jewish philosophy for a period of over thirty years preceding the First World War. Initially standing at the front of the ‘Return to Kant’?movement, Cohen subsequently went beyond Kant in developing a system of critical idealism in which he o
12#
發(fā)表于 2025-3-23 13:52:55 | 只看該作者
Kana Moriwakieading school in German academic philosophy and in German Jewish philosophy for a period of over thirty years preceding the First World War. Initially standing at the front of the ‘Return to Kant’?movement, Cohen subsequently went beyond Kant in developing a system of critical idealism in which he o
13#
發(fā)表于 2025-3-23 21:46:49 | 只看該作者
14#
發(fā)表于 2025-3-23 23:26:53 | 只看該作者
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發(fā)表于 2025-3-24 05:43:48 | 只看該作者
Signal Extraction from Noisy LIM Data,l galaxy surveys. It is thus important to properly extract the signals from noisy observational maps. Recently, machine learning methods have been applied to remove noises from various types of observational data [., .]. The machine learning may also be used for denoising the observed line intensity
16#
發(fā)表于 2025-3-24 08:31:09 | 只看該作者
17#
發(fā)表于 2025-3-24 10:49:31 | 只看該作者
Application of LIM Data for Studying Cosmic Reionization,EoR. The details of the cosmic reionization and IGM heating phenomena are not well known. The distant 21-cm line from the IGM is the key to elucidating them. However, the 21-cm emission is very weak and contaminated by bright foregrounds. Cross-correlation is one of the important observational techn
18#
發(fā)表于 2025-3-24 18:43:33 | 只看該作者
Summary and Outlook,large volume efficiently. While it is a promising method, it suffers from large observational noise and line confusion. Several methods have been proposed to solve these problems in previous studies, but they mostly aim at detecting statistical signals.
19#
發(fā)表于 2025-3-24 20:14:54 | 只看該作者
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發(fā)表于 2025-3-24 23:54:51 | 只看該作者
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