High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 253

In astronomy, if we denote the dimension of data as d and the number of samples as n , we often find a case with n ≪ d . Traditionally, such a situation is regarded as ill-posed, and there was no choice but to discard most of the information in data dimensions to let d < n . The data with n ≪ d i...

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Bibliographic Details
Main Authors: Tsutomu T. Takeuchi, Kazuyoshi Yata, Kento Egashira, Makoto Aoshima, Aki Ishii, Suchetha Cooray, Kouichiro Nakanishi, Kotaro Kohno, Kai T. Kono
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Online Access:https://doi.org/10.3847/1538-4365/ad2517