Astrochemical Correlations in Molecular Clouds
Brandt A.L. Gaches (1), Stella S. R. Offner (1), Erik W. Rosolowsky, (2), Thomas G. Bisbas (3) ((1) University of Massachusetts - Amherst, (2), University of Alberta, (3) University College London)

TL;DR
This study uses hydrodynamic simulations and chemical networks to analyze spectral correlations among molecular cloud tracers, providing insights into how different species' emissions relate and how observational parameters affect these correlations.
Contribution
It introduces a comprehensive analysis of spectral correlation functions for multiple molecular tracers in simulated clouds, offering guidance for observational strategies.
Findings
C and CO have similar spectral correlation functions.
Beam size influences emission characteristics differently for each species.
Up to 10" beam size, SCF slopes remain relatively stable.
Abstract
We investigate the spectral correlations between different species used to observe molecular clouds. We use hydrodynamic simulations and a full chemical network to study the abundances of over 150 species in typical Milky Way molecular clouds. We perform synthetic observations in order to produce emission maps of a subset of these tracers. We study the effects of different lines of sight and spatial resolution on the emission distribution and perform a robust quantitative comparison of the species to each other. We use the Spectral Correlation Function (SCF), which quantifies the root mean squared difference between spectra separated by some length scale, to characterize the structure of the simulated cloud in position-position-velocity (PPV) space. We predict the observed SCF for a broad range of observational tracers, and thus, identify homologous species. In particular, we show that…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Atmospheric Ozone and Climate · Astro and Planetary Science
