Probing the spectral shape of dust emission with the DustPedia galaxy sample
Angelos Nersesian, Wouter Dobbels, Manolis E. Xilouris, Maarten Baes,, Simone Bianchi, Viviana Casasola, Christopher J. R. Clark, Ilse De Looze,, Fr\'ed\'eric Galliano, Suzanne C. Madden, Aleksandr V. Mosenkov, Evangelos-D., Paspaliaris, Ana Tr\v{c}ka

TL;DR
This study uses principal component analysis to explore the variance in the far-infrared spectral energy distributions of DustPedia galaxies, linking spectral shape to physical properties like dust temperature, luminosity, and metallicity.
Contribution
It reveals that two principal components explain 95% of the variance in FIR SEDs and identifies key physical factors influencing the spectral shape.
Findings
Two PCs explain 95% of the variance in FIR SEDs.
Dust temperature, luminosity, SFR, and f_abs correlate with SED shape.
Low-metallicity galaxies tend to have warmer, broader SEDs.
Abstract
The objective of this paper is to understand the variance of the far-infrared (FIR) spectral energy distribution (SED) of the DustPedia galaxies, and its link with the stellar and dust properties. An interesting aspect of the dust emission is the inferred FIR colours which could inform us about the dust content of galaxies, and how it varies with the physical conditions within galaxies. However, the inherent complexity of dust grains as well as the variety of physical properties depending on dust, hinder our ability to utilise their maximum potential. We use principal component analysis (PCA) to explore new hidden correlations with many relevant physical properties such as the dust luminosity, dust temperature, dust mass, bolometric luminosity, star-formation rate (SFR), stellar mass, specific SFR, dust-to-stellar mass ratio, the fraction of absorbed stellar luminosity by dust (f_abs),…
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