A paper on the structure extraction of NGC253's 4th grade student at Astrophysics Experiment Laboratory has been published on PASJ on NGC253's ALMA data and machine learning.。
NGC253 is one of the galaxies that exist in the vicinity of the galaxy.、It is known for its explosive starbursts。Starburst is considered to be an important phenomenon in considering the evolution of the universe.、It's not clear how it works。
In this study、ALMA in Chile (Atacama Large Millimeter/Submillimeter Array)From data on 150 types of molecular emission lines, radio wave recombination lines and continuous waves obtained by、NMF (Non-negative Matrix fatorization; Non-negative row factor decomposition)The technique known as(Machine Learning,ja)Using、We aimed to extract structures related to star formation。as a result、(1)Distribution of dilute gases、(2)Collisions between molecular clouds(shock)Construction、(3)Starburst Area、(4)Areas that form young stars、(5)We were able to extract the distribution of molecules that exhibit shock from medium excitation and the characteristic emission and continuous lines.。2030As a new method to increase the amount of brightness data due to improved ALMA telescope performance in the past.、Application of NMF is expected。
Title: Components of star formation in NGC 253 : Non-negative Matrix Factorization Analysis with the ALCHEMI integrated intensity images
Authors: Ryo Kishikawa, Nanase Harada, Toshiki Saito, Susanne Aalto, Laura Colzi, Mark Gorski, Christian Henkel, Jeffrey G Mangum, Sergio Martín, Sebastian Muller, Yuri Nishimura, Victor M Rivilla, Kazushi Sakamoto, Paul van der Werf, Serena Viti
Fashj: https://doi.org/10.1093/pasj/psae095
arXiv: https://arxiv.org/abs/2411.03867
This work was partially supported by Summer Student Program (2023)
National Astronomical Observatory of Japan and The Graduate University for Advanced Studies, SOKENDAI.
This research was conducted with the support of the 2023 National Astronomical Observatory and Graduate School of Research, Summer Student Program.。
