| Issue |
A&A
Volume 700, August 2025
|
|
|---|---|---|
| Article Number | L16 | |
| Number of page(s) | 6 | |
| Section | Letters to the Editor | |
| DOI | https://doi.org/10.1051/0004-6361/202555937 | |
| Published online | 15 August 2025 | |
Letter to the Editor
An analytic formalism to describe the Neff(H)−nH relationship in molecular clouds
Faculty of Physics, University of Duisburg-Essen, Lotharstraße 1, 47057 Duisburg, Germany
⋆ Corresponding author: brandt.gaches@uni-due.de
Received:
13
June
2025
Accepted:
22
July
2025
Context. Astrochemical modeling requires, as input, the effective column density of gas (or extinction) that attenuates an external, isotropic, far-ultraviolet radiation field. In three-dimensional simulations, this can be calculated through ray-tracing schemes, while in zero-dimensional chemical models it is often treated as a free parameter.
Aims. We aim to produce an analytic, physically motivated formalism to predict the average relationship between the effective hydrogen-nucleus column density, Neff(H), and the local hydrogen-nucleus number density, nH.
Methods. We constructed an analytic model utilizing characteristic length scales that connects the turbulence-dominated regime and the gravitational-dominated regime at high densities.
Results. The model reproduces a previous analytic fit to simulation results well and is consistent with the high-density power-law indices, for example Neff(H)∝nγ, where γ ≈ 0.4 − 0.5, found in previous numerical simulations utilizing ray-tracing.
Conclusions. We present an analytic model that relates the average effective column density, Neff, to the local number density, nH, and reproduces the behaviors found in three-dimensional simulations. The analytic model can be utilized as a sub-grid prescription for shielded molecular gas or in astrochemical models for a physically motivated estimation of the attenuating column density.
Key words: ISM: clouds / ISM: general / ISM: structure
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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