Constraining the cosmic UV background at z>3 with MUSE Lyman-{\alpha} emission observations
Sofia G. Gallego, Sebastiano Cantalupo, Saeed Sarpas, Bastien Duboeuf,, Simon Lilly, Gabriele Pezzulli, Raffaella Anna Marino, Jorryt Matthee, Lutz, Wisotzki, Joop Schaye, Johan Richard, Haruka Kusakabe, Valentin Mauerhofer

TL;DR
This study introduces a new method using 3D stacking of MUSE Lyman-alpha observations to independently constrain the cosmic UV background at z>3, revealing potential non-monotonic evolution and low covering fractions of Lyman limit systems.
Contribution
It presents a novel approach combining deep MUSE data and simulations to measure the UVB and LLS covering fractions at high redshift, providing independent constraints.
Findings
UVB intensity at z=3 is relatively low and possibly non-monotonic between z=3 and 5.
Covering fraction of LLSs within 150kpc of LAEs at 3<z<4.5 is less than 25%.
Results suggest tension with some existing UVB models, indicating the need for deeper observations.
Abstract
The intensity of the Cosmic UV background (UVB), coming from all sources of ionising photons such as star-forming galaxies and quasars, determines the thermal evolution and ionization state of the intergalactic medium (IGM) and is, therefore, a critical ingredient for models of cosmic structure formation. Most of the previous estimates are based on the comparison between observed and simulated Lyman- forest. We present the results of an independent method to constrain the product of the UVB photoionisation rate and the covering fraction of Lyman limit systems (LLSs) by searching for the fluorescent Lyman- emission produced by self-shielded clouds. Because the expected surface brightness is well below current sensitivity limits for direct imaging, we developed a new method based on three-dimensional stacking of the IGM around Lyman- emitting galaxies (LAEs)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
