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Building the model of redshift-space galaxy power spectrum based on machine learning and its application to SDSS data for cosmology inference

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DOI[10.15083/0002006651]to the data of the same series

Building the model of redshift-space galaxy power spectrum based on machine learning and its application to SDSS data for cosmology inference

Persistent ID (NDL)
info:ndljp/pid/12769582
Material type
博士論文
Author
小林, 洋祐
Publisher
-
Publication date
2021-03-19
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
東京大学,博士(理学)
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学位の種別: 課程博士審査委員会委員 : （主査）東京大学教授 村山 斉, 東京大学准教授 日下 暁人, 東京大学教授 田越 秀行, 高エネルギー加速器研究機構教授 松原 隆彦, 京都大学准教授 樽家 篤史

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  • https://repository.dl.itc.u-tokyo.ac.jp/record/2006651/files/A37918_review.pdf other

fulltext

  • https://repository.dl.itc.u-tokyo.ac.jp/record/2006651/files/A37918.pdf fulltext

abstract

  • https://repository.dl.itc.u-tokyo.ac.jp/record/2006651/files/A37918_abstract.pdf abstract

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Digital

Material Type
博士論文
Title
Building the model of redshift-space galaxy power spectrum based on machine learning and its application to SDSS data for cosmology inference
Author/Editor
小林, 洋祐
Author Heading
小林, 洋祐
Publication Date
2021-03-19
Publication Date (W3CDTF)
2021-03-19
Alternative Title
機械学習を用いた赤方偏移空間銀河パワースペクトルのモデル構築とSDSSデータの宇宙論推定への応用
Degree grantor/type
東京大学
Date Granted
2021-03-19
Date Granted (W3CDTF)
2021-03-19