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arXiv · 2112.04541

Families and Clusters of Diffuse Interstellar Bands: a Data-Driven Correlation Analysis

Abstract

More than 500 diffuse interstellar bands (DIBs) have been observed in astronomical spectra, and their signatures and correlations in different environments have been studied over the past decades to reveal clues about the nature of the carriers. We compare the equivalent widths of the DIBs, normalized to the amount of reddening, E_B-V, to search for anti-correlated DIB pairs using a data sample containing 54 DIBs measured in 25 sight lines. This data sample covers most of the strong and commonly detected DIBs in the optical region, and the sight lines probe a variety of ISM conditions. We find that 12.9% of the DIB pairs are anti-correlated, and the lowest Pearson correlation coefficient is r_norm ~ -0.7. We revisit correlation-based DIB families and are able to reproduce the assignments of such families for the well-studied DIBs by applying hierarchical agglomerative and k-means clustering algorithms. We visualize the dissimilarities between DIBs, represented by 1 - r_norm, using multi-dimensional scaling (MDS). With this representation, we find that the DIBs form a rather continuous sequence, which implies that some properties of the DIB carriers are changing gradually following this sequence. We also find at that least two factors are needed to properly explain the dissimilarities between DIBs. While the first factor may be interpreted as related to the ionization properties of the DIB carriers, a physical interpretation of the second factor is less clear and may be related to how DIB carriers interact with surrounding interstellar material.

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Haoyu Fan, Madison Schwartz, Amin Farhang, Nick L. J. Cox, Pascale Ehrenfreund, Ana Monreal-Ibero, Bernard H. Foing, Farid Salama, Klay Kulik, Heather MacIsaac, Jacco Th. van Loon, Jan Cami. 2021-12-08. Families and Clusters of Diffuse Interstellar Bands: a Data-Driven Correlation Analysis. https://doi.org/10.1093/mnras%2Fstab3651

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