2017/04/05 by Matthew Bainbridge, Matthew B. Bainbridge, John K. Webb +1 · 18 citations
Chemistry · Physics and Astronomy · #Absorption (acoustics) #Absorption spectroscopy #Astrophysics and Star Formation Studies #Limiting #Numerical analysis #Range (aeronautics) #Spectral line #Spectroscopy and Laser Applications #Stellar, planetary, and galactic studies #Universality (dynamical systems) #astro-ph.IM
paper · pdf · doi:10.3390/universe3020034
published in Universe 3(2), 34 (Multidisciplinary Digital Publishing Institute) · 9 pages, 5 figures, published on 5 April 2017 in Universe
openalex publication_date 2017/04/05 · openalex created_date 2017/04/14 · arxiv created 2017/04/27 · arxiv updated 2017/05/01 · openalex updated_date 2026/08/05
We recently presented a new “artificial intelligence” method for the analysis of high-resolution absorption spectra (Bainbridge and Webb, Mon. Not. R. Astron. Soc. 2017, doi:10.1093/mnras/stx179). This new method unifies three established numerical methods: a genetic algorithm (GVPFIT); non-linear least-squares optimisation with parameter constraints (VPFIT); and Bayesian Model Averaging (BMA). In this work, we investigate the performance of GVPFIT and BMA over a broad range of velocity structures using synthetic spectra. We found that this new method recovers the velocity structures of the absorption systems and accurately estimates variation in the fine structure constant. Studies such as this one are required to evaluate this new method before it can be applied to the analysis of large sets of absorption spectra. This is the first time that a sample of synthetic spectra has been utilised to investigate the analysis of absorption spectra. Probing the variation of nature’s fundamental constants (such as the fine structure constant), through the analysis of absorption spectra, is one of the most direct ways of testing the universality of physical laws. This “artificial intelligence” method provides a way to avoid the main limiting factor, i.e., human interaction, in the analysis of absorption spectra.