Acknowledging and Referencing
When using DYSMAL or DysmalPy in published research, we ask that you cite all of the following papers:
Davies et al. 2004a: https://ui.adsabs.harvard.edu/abs/2004ApJ…602..148D/abstract
Davies et al. 2004b: https://ui.adsabs.harvard.edu/abs/2004ApJ…613..781D/abstract
Cresci et al. 2009: https://ui.adsabs.harvard.edu/abs/2009ApJ…697..115C/abstract
Davies et al. 2011: https://ui.adsabs.harvard.edu/abs/2011ApJ…741…69D/abstract
Wuyts et al. 2016: https://ui.adsabs.harvard.edu/abs/2016ApJ…831..149W/abstract
Lang et al. 2017: https://ui.adsabs.harvard.edu/abs/2017ApJ…840…92L/abstract
Price et al. 2021: https://ui.adsabs.harvard.edu/abs/2021ApJ…922..143P/abstract
Lee et al. 2024: https://ui.adsabs.harvard.edu/abs/2025ApJ…978…14L/abstract
Please also cite the papers for the fitters you use in any analysis:
MPFIT (least squares): https://ui.adsabs.harvard.edu/abs/2009ASPC..411..251M/abstract
emcee (MCMC): https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F
dynesty (nested sampling): https://dynesty.readthedocs.io/en/stable/references.html
Publications using DysmalPy
Refereed Articles Using DysmalPy/Dysmal or its Precursor (DisDYN):
Publication List on ADS.
Acknowledgements: DysmalPy is the Python version of the most recent Dysmal modeling code, a long-term development of the MPE/IR-Submm Group. Preparation and maintenance of the public release was/is funded by the European Union (ERC, GALPHYS, 101055023). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
Selected work on high-z galaxies featuring key applications of Dysmal/DysmalPy as of 5 Apr 2024: