Paper

A Principal Component Analysis of polycyclic aromatic hydrocarbon emission in NGC 2023

Sidhu, Ameek, Cami, Jan, Knight, Collin, Peeters, Els

2020

Overview

We use the measured fluxes of polycyclic aromatic hydrocarbon (PAH) emission features at 6.2, 7.7, 8.6, 11.0 and 11.2 \\(\\mu\\)m in the reflection nebula NGC 2023 to carry out a principal component analysis (PCA) as a means to study previously reported variations in the PAH emission. We find that almost all of the variations (99%) can be explained with just two parameters -- the first two principal components (PCs). We explore the characteristics of these PCs and show that the first PC (\\(PC_{1}\\)), which is the primary driver of the variation, represents the amount of emission of a mixture of PAHs with ionized species dominating over neutral species. The second PC (\\(PC_{2}\\)) traces variations in the ionization state of the PAHs across the nebula. Correlations of the PCs with various PAH ratios show that the 6.2 and 7.7 \\(\\mu\\)m bands behave differently than the 8.6 and 11.0 \\(\\mu\\)m bands, thereby forming two distinct groups of ionized bands. We compare the spatial distribution of the PCs to the physical conditions, in particular to the strength of the radiation field, \\(G_{0}\\), and the \\(G_{0}/n_{H}\\) ratio and find that the variations in \\(PC_{2}\\), i.e. the ionization state of PAHs are strongly affected by \\(G_{0}\\) whereas the amount of PAH emission (as traced by \\(PC_{1}\\)) does not depend on \\(G_0\\).

• Publisher: Cornell University Library, arXiv.org
• Subject: Emission analysis / Fluxes / Ionization / Nebulae / Polycyclic aromatic hydrocarbons / Principal components analysis / Spatial distribution