MUSE HeII$\lambda1640$ analysis at $z=2-4$
Themiya Nanayakkara, Jarle Brinchmann, The MUSE Collaboration

TL;DR
This study uses deep MUSE observations to analyze HeII$\lambda1640$ emission at redshifts 2-4, revealing that current stellar models cannot fully explain observed fluxes, suggesting the need for alternative ionizing sources or models.
Contribution
It provides the first extensive observational analysis of HeII$\lambda1640$ emitters at z=2-4, highlighting limitations of existing stellar population models in reproducing observed emission.
Findings
HeII$\lambda1640$ emission driven by star formation at sub-solar metallicities
Current models cannot reproduce observed HeII$\lambda1640$ equivalent widths
Extremely low metallicities or alternative mechanisms are needed to explain observations
Abstract
HeII is the most sought-after emission line to detect and characterize metal free stellar populations. However, current stellar population/photo-ionization models lack sufficient He ionising photons to reproduce observed HeII fluxes while being consistent with other emission lines. Using hour deep pointings from MUSE, we obtain HeII emitters to study their inter-stellar medium (ISM) and stellar population properties. Emission line ratio diagnostics of our sample suggest that emission lines are driven by star-formation in solar to moderately sub-solar (th) metallicity conditions. However, we find that even after considering effects from binary stars, we are unable to reproduce the HeII equivalent widths (EWs). Our analysis suggest that extremely sub-solar metallicities (th) are required to reproduce…
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.
Taxonomy
TopicsStellar, planetary, and galactic studies · Gamma-ray bursts and supernovae · Astronomy and Astrophysical Research
