Bayesian luminosity function estimation in multi-depth datasets with selection effects: A case study for 3 < z < 5 Lyman \ensuremathα emitters. Tornotti, D., Fossati, M., Fumagalli, M., Gerosa, D., Pizzuti, L., & Arrigoni Battaia, F. åp, 704:A201, December, 2025.
doi  bibtex   
@ARTICLE{2025A&A...704A.201T,
       author = {{Tornotti}, Davide and {Fossati}, Matteo and {Fumagalli}, Michele and {Gerosa}, Davide and {Pizzuti}, Lorenzo and {Arrigoni Battaia}, Fabrizio},
        title = "{Bayesian luminosity function estimation in multi-depth datasets with selection effects: A case study for 3 < z < 5 Lyman {\ensuremath{\alpha}} emitters}",
      journal = {\aap},
     keywords = {methods: data analysis, galaxies: evolution, galaxies: high-redshift, galaxies: luminosity function, mass function, Astrophysics of Galaxies, Cosmology and Nongalactic Astrophysics},
         year = 2025,
        month = dec,
       volume = {704},
          eid = {A201},
        pages = {A201},
          doi = {10.1051/0004-6361/202555898},
archivePrefix = {arXiv},
       eprint = {2506.10083},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025A&A...704A.201T},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Downloads: 0