Détail du document
Identifiant
oai:arXiv.org:2405.09720
Sujet
Astrophysics - Astrophysics of Gal... Astrophysics - Cosmology and Nonga...Auteur
Choustikov, Nicholas Stiskalek, Richard Saxena, Aayush Katz, Harley Devrient, Julien Slyz, AdrianneCatégorie
sciences : astrophysique
Année
2024
Date de référencement
22/05/2024
Mots clés
photons reionization astrophysics ionizingRésumé
JWST observations have the potential to provide unprecedented constraints on the history of reionization and the sources responsible for the ionizing photons due to the detection of large populations of faint galaxies at $z\gg6$.
Modelling reionization requires knowing both the number of ionizing photons that are produced by galaxies and the fraction of those photons that escape into the intergalactic medium.
Observational estimates of these values generally rely on spectroscopy for which large samples with well-defined selection functions remain limited.
To overcome this challenge, we present an implicit likelihood inference (ILI) pipeline trained on mock photometry to predict the escaped ionizing luminosity of individual galaxies ($\dot{n}_{\rm ion}$) based on photometric magnitudes and redshifts.
Compared to traditional SED-fitting methods, the new ILI pipeline is consistently more accurate and significantly faster.
We deploy the method on a sample of 4,559 high-redshift galaxies from the JADES Deep survey, finding a gentle redshift evolution of $\log_{10}(\dot{n}_{\rm ion}) = (0.08\pm0.01)z + (51.60\pm0.06)$, with late-time values for $\dot{N}_{\rm ion}$ consistent with theoretical models and observations.
We measure the evolution of the volume-averaged ionized fraction and optical depth to find that observed populations of star-forming galaxies are capable of driving reionization to completion at $z\sim 5.3$ without the need for AGN or other exotic sources.
The $20\%$ of UV-brightest galaxies ($M_{\rm UV}<-18.5$) in our sample can reionize only $\sim30\%$ of the survey volume, demonstrating that faint LyC emitters are crucial for reionization.
;Comment: 17 pages, 11 figures, 2 tables, submitted to MNRAS
Choustikov, Nicholas,Stiskalek, Richard,Saxena, Aayush,Katz, Harley,Devrient, Julien,Slyz, Adrianne, 2024, Inferring the Ionizing Photon Contributions of High-Redshift Galaxies to Reionization with JWST NIRCam Photometry
Configurable Safety Tuning of Language Models with Synthetic Preference Data
data preference cst dpo configurable language safety
Affective flexibility as a developmental building block of cognitive reappraisal: An fMRI study
cognitive success affective flexibility
