1. A Principal Component Analysis of the Diffuse Interstellar Bands
- Author
-
Tiffany Ensor, N. H. Bhatt, Andrea Soddu, and Jan Cami
- Subjects
Physics ,Line-of-sight ,010504 meteorology & atmospheric sciences ,Diffuse interstellar band ,statistical [methods] ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics ,Radiation ,01 natural sciences ,Astrophysics - Astrophysics of Galaxies ,Methods statistical ,Astrophysics - Solar and Stellar Astrophysics ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,0103 physical sciences ,Principal component analysis ,data analysis [methods] ,lines and bands [ISM] ,010303 astronomy & astrophysics ,Equivalent width ,Astrophysics::Galaxy Astrophysics ,Solar and Stellar Astrophysics (astro-ph.SR) ,molecules [ISM] ,0105 earth and related environmental sciences - Abstract
We present a principal component analysis of 23 line of sight parameters (including the strengths of 16 diffuse interstellar bands, DIBs) for a well-chosen sample of single-cloud sightlines representing a broad range of environmental conditions. Our analysis indicates that the majority ($\sim$93\%) of the variations in the measurements can be captured by only four parameters The main driver (i.e., the first principal component) is the amount of DIB-producing material in the line of sight, a quantity that is extremely well traced by the equivalent width of the $\lambda$5797 DIB. The second principal component is the amount of UV radiation, which correlates well with the $\lambda$5797/$\lambda$5780 DIB strength ratio. The remaining two principal components are more difficult to interpret, but are likely related to the properties of dust in the line of sight (e.g., the gas-to-dust ratio). With our PCA results, the DIBs can then be used to estimate these line of sight parameters., Comment: 29 pages, 17 figures; accepted for publication in The Astrophysical Journal
- Published
- 2017