UNDERSTANDING THE FORMATION AND EVOLUTION OF INTERSTELLAR ICES: A BAYESIAN APPROACH

• Published in: The Astrophysical journal Vol. 794; no. 1; pp. 45 - 12
• Main Authors: Makrymallis, Antonios, Viti, Serena
• Format: Journal Article
• Language: English
• Published: United States 10.10.2014
• Subjects: ALGORITHMS; ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; Bayesian analysis; DATA ANALYSIS; Evolution; ICE; Inverse problems; MARKOV PROCESS; Mathematical models; MATHEMATICAL SOLUTIONS; Molecular clouds; MONTE CARLO METHOD; NONLINEAR PROBLEMS; Physical properties; STAR EVOLUTION; Star formation; STARS; Strategy; TIME DEPENDENCE

Understanding the physical conditions of dark molecular clouds and star-forming regions is an inverse problem subject to complicated chemistry that varies nonlinearly with both time and the physical environment. In this paper, we apply a Bayesian approach based on a Markov chain Monte Carlo (MCMC) m...