How do supernova remnants cool? - II. Machine learning analysis of supernova remnant simulations

Open Access

Table 3

Loading for principal axes in feature space.

Dataset	PC	Coefficients of the line ratio
		[S II]/Hα	[N II]/Hα	[O III]/Hα	[O III]/Hβ
MC1_att	PC 1	−0.62	0.26	0.36	0.39
	PC2	0.12	−0.52	0.70	0.70

Notes. Loadings for PC1 or PC2 (Col. 2)represent the directions of maximum variance in the dataset for each line ratio (Cols. 3–6). The variance captured by PC1 and PC2 is spread across multiple features, indicating that those features contribute together to the variance in a similar manner.

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