Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 54 min ago
PreprintarXiv licencearXiv

Modeling CO Line Luminosity Using FIRE Simulations: I. Methodology and Validation of Molecular Gas and CO Abundance

Abstract

We present a post-processing pipeline that predicts CO line luminosities, molecular hydrogen masses, and CO abundances for galaxies in the Feedback in Realistic Environments (FIRE-2) simulations, as a first step toward CO response functions for line intensity mapping mocks. SKIRT gives the radiation field reaching each gas cell. CLOUDY, tabulated on a five-parameter grid (metallicity, density, turbulent velocity, radiation field, cloud scale) and interpolated, gives L'CO(1−0) and the H2 and CO masses. In this first of three papers we validate the pipeline against observations. For Milky Way (MW) molecular clouds, the predicted L'CO(1−0) rises sharply at AV∼1 and matches the observed values above that column. For a uniform 3 Z⊙ the summed luminosity is within 35\% of the observed total. A factor of three increase in metallicity changes the total L'CO(1−0) by an order of magnitude. Along MW sight lines, the predicted NCO/NH2 reproduces the observed upturn within 0.3 dex in NH2 but falls below the data at higher columns. At z=0 our molecular gas masses agree with xCOLD GASS for SFR≳0.3 M⊙ yr−1 and are converged across our simulation resolutions. At z≳1 observed gas masses exceed ours at fixed stellar mass, though selection effects and conversion-factor assumptions limit this comparison. CO luminosities are compared with extragalactic observations in Paper II. Capturing the metallicity-dependent dust shielding of CO from photodissociation is essential for modeling CO emission in low-mass and high-redshift galaxies.

Related

  1. Population II PAGB Stars. I. Methodology, Initial Results, and the First Luminosity Function
    S. Jean Feeser, Robin Ciardullo, Michael H. Siegel +2
    The Astrophysical JournalPeer-reviewedCC BY 4.0Full textSolar & stellar physicsIOP/AASCrossref
  2. Population II Post-AGB Stars. I. Methodology, Initial Results, and the First Luminosity Function
    S. Jean Feeser, Robin Ciardullo, Michael H. Siegel +2
    arXivPreprintCC BY 4.0Full textGalaxiesSolar & stellar physicsarXiv
  3. Modeling CO Line Luminosity with FIRE simulations: II. Comparison With Observations, CO Luminosity Functions and Redshift Evolution
    Doğa Tolgay, J. Richard Bond, Norman W. Murray +3
    arXivPreprintarXiv licenceFull textGalaxiesarXiv
  4. Galaxy luminosity functions from far-UV to submillimetre at z=0 in the COLIBRE simulations
    Shengdong Lu, Carlos S. Frenk, Cedric G. Lacey +15
    arXivPreprintarXiv licenceFull textGalaxiesarXiv
  5. The galaxy ultraviolet luminosity function from z=7 to $20$ in the COLIBRE simulations
    Shengdong Lu, Carlos S. Frenk, Cedric G. Lacey +17
    arXivPreprintarXiv licenceFull textGalaxiesarXiv
BibTeX
@misc{tolgay2026modeling,
  title = {{Modeling CO Line Luminosity Using FIRE Simulations: I. Methodology and Validation of Molecular Gas and CO Abundance}},
  author = {Doğa Tolgay and Norman W. Murray and Dongwoo Chung and J. Richard Bond and Nathan J. Carlson and Robert Feldmann and Andrew Wetzel and Guochao Sun},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.12159},
  eprint = {2610.12159},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.12159},
}
RIS
TY  - UNPB
TI  - Modeling CO Line Luminosity Using FIRE Simulations: I. Methodology and Validation of Molecular Gas and CO Abundance
AU  - Doğa Tolgay
AU  - Norman W. Murray
AU  - Dongwoo Chung
AU  - J. Richard Bond
AU  - Nathan J. Carlson
AU  - Robert Feldmann
AU  - Andrew Wetzel
AU  - Guochao Sun
PY  - 2026
DA  - 2026/10/08
PB  - arXiv
DO  - 10.48550/arxiv.2610.12159
UR  - https://arxiv.org/abs/2610.12159
AB  - We present a post-processing pipeline that predicts CO line luminosities, molecular hydrogen masses, and CO abundances for galaxies in the Feedback in Realistic Environments (FIRE-2) simulations, as a first step toward CO response functions for line intensity mapping mocks. SKIRT gives the radiation field reaching each gas cell. CLOUDY, tabulated on a five-parameter grid (metallicity, density, turbulent velocity, radiation field, cloud scale) and interpolated, gives L'_CO(1−0) and the H_2 and CO masses. In this first of three papers we validate the pipeline against observations. For Milky Way (MW) molecular clouds, the predicted L'_CO(1−0) rises sharply at A_V∼1 and matches the observed values above that column. For a uniform 3 Z_⊙ the summed luminosity is within 35\% of the observed total. A factor of three increase in metallicity changes the total L'_CO(1−0) by an order of magnitude. Along MW sight lines, the predicted N_CO/N_H_2 reproduces the observed upturn within 0.3 dex in N_H_2 but falls below the data at higher columns. At z=0 our molecular gas masses agree with xCOLD GASS for SFR≳0.3 M_⊙ yr^−1 and are converged across our simulation resolutions. At z≳1 observed gas masses exceed ours at fixed stellar mass, though selection effects and conversion-factor assumptions limit this comparison. CO luminosities are compared with extragalactic observations in Paper II. Capturing the metallicity-dependent dust shielding of CO from photodissociation is essential for modeling CO emission in low-mass and high-redshift galaxies.
ER  -