Python implementation of existing CO-to-H2 conversion factor prescriptions in the literature.
CO_conversion_factor.alphaCO - This module includes a collection of conversion factor prescriptions
predict_alphaCO10_S20: a simple metallicity-dependent prescription (see Sun et al. 2020).predict_alphaCO10_N12: the Narayanan et al. (2012) prescription.predict_alphaCO10_B13: a refined version of the Bolatto et al. (2013) prescription.predict_alphaCO10_B13_original: the original Bolatto et al. (2013) prescription.predict_alphaCO10_A16: the Amorín et al. (2016) prescription.predict_alphaCO10_A17: the Accurso et al. (2017) prescription.predict_alphaCO_G20: the Gong et al. (2020) prescription.predict_alphaCO21_T24: the Teng et al. (2024) prescription.predict_alphaCO_SL24: the Schinnerer & Leroy (2024) prescription.- (suggestions for other prescriptions are welcome)
CO_conversion_factor.metallicity - This module includes tools for predicting metallicity from scaling relations
predict_logOH_SAMI19: predict the gas phase abundance from mass-metallicity relations reported in Sánchez et al. (2019).predict_logOH_CALIFA17: predict the gas phase abundance from mass-metallicity relations reported in Sánchez et al. (2017).extrapolate_logOH_radially: extrapolate the abundance within a galaxy assuming a radial gradient (e.g., Sánchez et al. 2014).
You can install the package directly from PyPI (https://pypi.org/project/CO-conversion-factor/) via
pip install --user CO_conversion_factor
If you use tools from this repo in a publication, please make sure to cite the relevant source papers (see links above).
Please also consider acknowledgements to astropy and the other required packages.