Kavli Affiliate: George Efstathiou
| First 5 Authors: Harry T. J. Bevins, Stefan Heimersheim, Irene Abril-Cabezas, Anastasia Fialkov, Eloy de Lera Acedo
| Summary:
Observations of the first billion years of cosmic history are currently
limited. We demonstrate, using a novel machine learning technique, the synergy
between observations of the sky-averaged 21-cm signal from neutral hydrogen and
interferometric measurements of the corresponding spatial fluctuations. By
jointly analysing data from SARAS3 (redshift $zapprox15-25$) and limits from
HERA ($zapprox8$ and $10$), we show that such a synergetic analysis provides
tighter constraints on the astrophysics of galaxies 200 million years after the
Big Bang than can be achieved with the individual data sets. Although our
constraints are weak, this is the first time data from a sky-averaged 21-cm
experiment and power spectrum experiment have been analysed together. In
synergy, the two experiments leave only $64.9^{+0.3}_{-0.1}$ % of the explored
broad theoretical parameter space to be consistent with the joint data set, in
comparison to $92.3^{+0.3}_{-0.1}$ % for SARAS3 and $79.0^{+0.5}_{-0.2}$ % for
HERA alone. We use the joint analysis to constrain star formation efficiency,
minimum halo mass for star formation, X-ray luminosity of early emitters and
the radio luminosity of early galaxies. The joint analysis disfavours at 68 %
confidence a combination of galaxies with X-ray emission that is $lesssim 33$
and radio emission that is $gtrsim 32$ times as efficient as present day
galaxies. We disfavour at 95 % confidence scenarios in which power spectra are
$geq126$ mK$^{2}$ at $z=25$ and the sky-averaged signals are $leq-277$ mK.
| Search Query: ArXiv Query: search_query=au:”Anastasia Fialkov”&id_list=&start=0&max_results=3