Bibcode
Paardekooper, Jan-Pieter; Khochfar, Sadegh; Dalla Vecchia, C.
Bibliographical reference
Monthly Notices of the Royal Astronomical Society: Letters, Volume 429, Issue 1, p.L94-L98
Advertised on:
2
2013
Citations
90
Refereed citations
88
Description
The contribution of stars in galaxies to cosmic reionization depends on
the star formation history in the Universe, the abundance of galaxies
during reionization, the escape fraction of ionizing photons and the
clumping factor of the intergalactic medium. We compute the star
formation rate and clumping factor during reionization in a cosmological
volume using a high-resolution hydrodynamical simulation. We
post-process the output with detailed radiative transfer simulations to
compute the escape fraction of ionizing photons. Together, this gives us
the opportunity to assess the contribution of galaxies to reionization
self-consistently. The strong mass and redshift dependence of the escape
fraction indicates that reionization occurred between z = 15 and 10 and
was mainly driven by proto-galaxies forming in dark matter haloes with
masses between 107 and 108 M⊙. More
massive galaxies that are rare at these redshifts and have significantly
lower escape fractions contribute less photons to the reionization
process than the more-abundant low-mass galaxies. Star formation in the
low-mass haloes is suppressed by radiative feedback from reionization,
therefore these proto-galaxies only contribute when the part of the
Universe they live in is still neutral. After z ˜ 10, massive
galaxies become more abundant and provide most of the ionizing photons.
In addition, we find that Population III stars are too short-lived and
not frequent enough to have a major contribution to reionization.
Although the stellar component of the proto-galaxies that produce the
bulk of ionizing photons during reionization is too faint to be detected
by the James Webb Space Telescope (JWST), these sources are brightest in
the Hα and Lyα recombination lines, which will likely be
detected by JWST in deep surveys.