Characterizing the line emission from molecular clouds. Stratified random sampling of the Perseus cloud
M. Tafalla, A. Usero, A. Hacar

TL;DR
This study demonstrates that stratified random sampling based on H2 column density effectively characterizes molecular cloud emission, revealing simple, predictable patterns in complex cloud structures like Perseus.
Contribution
We applied a stratified random sampling method to molecular cloud emission, providing an efficient alternative to mapping for understanding cloud structure and molecular line behavior.
Findings
Line intensity correlates with H2 column density across species.
High-dipole moment species show approximately linear intensity trends.
Cloud model explains the observed emission patterns and molecular abundance profiles.
Abstract
The traditional approach to characterize the structure of molecular clouds is to map their line emission. We aim to test and apply a stratified random sampling technique that can characterize the line emission from molecular clouds more efficiently than mapping. We sampled the molecular emission from the Perseus cloud using the H2 column density as a proxy. We divided the cloud into ten logarithmically spaced column density bins, and we randomly selected ten positions from each bin. The resulting 100 cloud positions were observed with the IRAM 30m telescope, covering the 3mm-wavelength band and parts of the 2 and 1mm bands. We focus our analysis on 11 molecular species detected toward most column density bins. In all cases, the line intensity is tightly correlated with the H2 column density. For the CO isotopologs, the trend is relatively…
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Taxonomy
TopicsHermeneutics and Narrative Identity · Aging, Elder Care, and Social Issues · Health, Medicine and Society
