cosmic-ray ionization rate Archives

CRIR map estimated from our parameter inference algorithm. All grayed out, hatched regions are estimated by our algorithm to have ζ > 5 × 10−−13 s −1 and one or more of the following issues. The ‘X’ hatching indicates regions where the estimated HCN or HNC abundance was below 10−12 with respect to hydrogen, and the dotted regions indicate locations where XHCN/XHNC > 4, with the two appearing together when both conditions are true. White and black numbers indicate the number of transitions that are detected with S/N > 3 for a given region, and purple outlines indicate when there are no transitions above the J = 2 − 1 that meet this threshold. Gray contours signify HCN 1 − 0 emission at 1, 3, and 5 Jy km s−1 beam−1 . Colored dots indicate the locations of recent star formation via radio continuum sources (supernova remnants and H II regions, Ulvestad & Antonucci 1997) and super hot cores (Rico-Villas et al. 2020). Note half of the unclassified sources are expected to be H II regions and half are thought to be supernova remnants. The green circle in the bottom right corner represents the ALCHEMI 1.′′6 (∼ 28 pc) beam. -- astro-ph.GA

Astrochemistry, Astronomy & Telescopes, Biochemistry & Organic Chemistry, Imaging & Spectroscopy, Interstellar, Radiation, Status Report

Neural Network Constraints on the Cosmic-Ray Ionization Rate and Other Physical Conditions in NGC 253 with ALCHEMI Measurements of HCN and HNC

by Keith CowingOctober 25, 2024October 25, 2024

We use a neural network model and ALMA observations of HCN and HNC to constrain the physical conditions, most notably the cosmic-ray ionization rate (CRIR, zeta), in the Central Molecular […]

cosmic-ray ionization rate

Neural Network Constraints on the Cosmic-Ray Ionization Rate and Other Physical Conditions in NGC 253 with ALCHEMI Measurements of HCN and HNC

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