The Astrophysical Journal (Jan 2025)

The Molecular Cloud Life Cycle. I. Constraining H2 Formation and Dissociation Rates with Observations

  • Shmuel Bialy,
  • Blakesley Burkhart,
  • Daniel Seifried,
  • Amiel Sternberg,
  • Benjamin Godard,
  • Mark R. Krumholz,
  • Stefanie Walch,
  • Erika Hamden,
  • Thomas J. Haworth,
  • Neal J. Turner,
  • Min-Young Lee,
  • Shuo Kong

DOI
https://doi.org/10.3847/1538-4357/adb3a6
Journal volume & issue
Vol. 982, no. 1
p. 24

Abstract

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Molecular clouds (MCs) are the birthplaces of new stars in galaxies. A key component of MCs are photodissociation regions (PDRs), where far-ultraviolet radiation plays a crucial role in determining the gas’s physical and chemical state. Traditional PDR models assume a chemical steady state (CSS), where the rates of H _2 formation and photodissociation are balanced. However, real MCs are dynamic and can be out of CSS. In this study, we demonstrate that combining H _2 emission lines observed in the far-ultraviolet or infrared with column density observations can be used to derive the rates of H _2 formation and photodissociation. We derive analytical formulae that relate these rates to observable quantities, which we validate using synthetic H _2 line emission maps derived from the SILCC-Zoom hydrodynamical simulation. Our method estimates integrated H _2 formation and dissociation rates with an accuracy ≈30% (on top of the uncertainties in the observed H _2 emission maps and column densities). Our simulations, valid for column densities N ≤ 2 × 10 ^22 cm ^−2 , cover a wide dynamic range of H _2 formation and photodissociation rates, showing significant deviations from CSS, with 74% of the MC’s mass deviating from CSS by a factor greater than 2. Our analytical formulae can effectively distinguish between regions in and out of CSS. When applied to actual H _2 line observations, our method can assess the chemical states of MCs, providing insights into their evolutionary stages and lifetimes. A NASA Small Explorer mission concept, Eos, will be proposed in 2025 and is specifically designed to conduct the types of observations outlined in this study.

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