308 research outputs found
Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC
The cosmic 21 cm signal is set to revolutionise our understanding of the
early Universe, allowing us to probe the 3D temperature and ionisation
structure of the intergalactic medium (IGM). It will open a window onto the
unseen first galaxies, showing us how their UV and X-ray photons drove the
cosmic milestones of the epoch of reionisation (EoR) and epoch of heating
(EoH). To facilitate parameter inference from the 21 cm signal, we previously
developed 21CMMC: a Monte Carlo Markov Chain sampler of 3D EoR simulations.
Here we extend 21CMMC to include simultaneous modelling of the EoH, resulting
in a complete Bayesian inference framework for the astrophysics dominating the
observable epochs of the cosmic 21 cm signal. We demonstrate that second
generation interferometers, the Hydrogen Epoch of Reionisation Array (HERA) and
Square Kilometre Array (SKA) will be able to constrain ionising and X-ray
source properties of the first galaxies with a fractional precision of order
-10 per cent (1). The ionisation history of the Universe can be
constrained to within a few percent. Using our extended framework, we quantify
the bias in EoR parameter recovery incurred by the common simplification of a
saturated spin temperature in the IGM. Depending on the extent of overlap
between the EoR and EoH, the recovered astrophysical parameters can be biased
by .Comment: 20 pages, 10 figures, 4 tables. Accepted to MNRAS (matches online
version). Movies showing the imprint of the astrophysical parameters on the
21cm signal can be found at http://homepage.sns.it/mesinger/21CMMC.htm
Constraints on reionisation from the z=7.5 QSO ULASJ1342+0928
The recent detection of ULASJ1342+0928, a bright QSO at , provides a
powerful probe of the ionisation state of the intervening intergalactic medium,
potentially allowing us to set strong constraints on the epoch of reionisation
(EoR). Here we quantify the presence of Ly damping wing absorption from
the EoR in the spectrum of ULASJ1342+0928. Our Bayesian framework
simultaneously accounts for uncertainties on: (i) the intrinsic QSO emission
(obtained from reconstructing the Ly profile from a covariance matrix
of emission lines) and (ii) the distribution of HII regions during reionisation
(obtained from three different 1.6 Gpc simulations spanning the range
of plausible EoR morphologies). Our analysis is complementary to that in the
discovery paper (Ba\~nados et al.) and the accompanying method paper (Davies et
al.) as it focuses solely on the damping wing imprint redward of Ly
(\AA), and uses a different methodology for (i) and
(ii). We recover weak evidence for damping wing absorption. Our intermediate
EoR model yields a volume-weighted neutral hydrogen fraction at of
(68 per cent). The
constraints depend weakly on the EoR morphology. Our limits are lower than
those presented previously, though they are consistent at ~1-1.5. We
attribute this difference to: (i) a lower amplitude intrinsic Ly
profile obtained from our reconstruction pipeline, driven by correlations with
other high-ionisation lines in the spectrum which are relatively weak; and (ii)
only considering transmission redward of Ly when computing the
likelihood, which reduces the available constraining power but makes the
results less model-dependent. Our results are consistent with previous
estimates of the EoR history, and support the picture of a moderately extended
EoR.Comment: 7 pages, 3 figures. Submitted to MNRAS, comments welcom
The Evolution of 21-cm Structure (EOS): public, large-scale simulations of Cosmic Dawn and Reionization
We introduce the Evolution of 21-cm Structure (EOS) project: providing
periodic, public releases of the latest cosmological 21-cm simulations. 21-cm
interferometry is set to revolutionize studies of the Cosmic Dawn (CD) and
epoch of reionization (EoR), eventually resulting in 3D maps of the first
billion years of our Universe. Progress will depend on sophisticated data
analysis pipelines, which are in turn tested on large-scale mock observations.
Here we present the 2016 EOS data release, consisting of the largest (1.6 Gpc
on side with a 1024^3 grid), public 21-cm simulations of the CD and EoR. We
include calibrated, sub-grid prescriptions for inhomogeneous recombinations and
photo-heating suppression of star formation in small mass galaxies. We present
two simulation runs that approximately bracket the contribution from faint
unseen galaxies. From these two extremes, we predict that the duration of
reionization (defined as a change in the mean neutral fraction from 0.9 to 0.1)
should be between 2.7 < Delta z < 5.7. The large-scale 21-cm power during the
advanced EoR stages can be different by up to a factor of ~10, depending on the
model. This difference has a comparable contribution from: (i) the typical bias
of sources; and (ii) a more efficient negative feedback in models with an
extended EoR driven by faint galaxies. We also make detectability forecasts.
With a 1000h integration, HERA and SKA1-low should achieve a signal-to-noise of
~few-hundreds throughout the EoR/CD, while in the maximally optimistic scenario
of perfect foreground cleaning, all instruments should make a statistical
detection of the cosmic signal. We also caution that our ability to clean
foregrounds determines the relative performance of narrow/deep vs. wide/shallow
surveys expected with SKA1. Our 21-cm power spectra, simulation outputs and
visualizations are publicly available.Comment: 12 pages, 9 figures, MNRAS submitted; data and visualizations are
available at http://homepage.sns.it/mesinger/EOS.htm
Upper Limits on the 21 cm Power Spectrum at z = 5.9 from Quasar Absorption Line Spectroscopy
We present upper limits on the 21 cm power spectrum at calculated
from the model-independent limit on the neutral fraction of the intergalactic
medium of derived from dark
pixel statistics of quasar absorption spectra. Using 21CMMC, a Markov chain
Monte Carlo Epoch of Reionization analysis code, we explore the probability
distribution of 21 cm power spectra consistent with this constraint on the
neutral fraction. We present 99 per cent confidence upper limits of
to over a range of from 0.5 to $2.0\
h{\rm Mpc}^{-1}kz=5.9$ in excess of this value is highly suggestive of residual foreground
contamination or other systematic errors affecting the analysis.Comment: 5 pages, 1 figure, accepted to MNRAS letter
Constraints on the temperature of the intergalactic medium at z=8.4 with 21-cm observations
We compute robust lower limits on the spin temperature, , of the
intergalactic medium (IGM), implied by the upper limits on the 21-cm
power spectrum recently measured by PAPER-64. Unlike previous studies which
used a single epoch of reionization (EoR) model, our approach samples a large
parameter space of EoR models: the dominant uncertainty when estimating
constraints on . Allowing to be a free parameter and
marginalizing over EoR parameters in our Markov Chain Monte Carlo code 21CMMC,
we infer (corresponding approximately to ) for
a mean IGM neutral fraction of . We
further improve on these limits by folding-in additional EoR constraints based
on: (i) the dark fraction in QSO spectra, which implies a strict upper limit of
; and (ii) the
electron scattering optical depth,
measured by the Planck satellite. By restricting the allowed EoR models, these
additional observations tighten the approximate lower limits on the
spin temperature to K. Thus, even such preliminary 21-cm
observations begin to rule out extreme scenarios such as `cold reionization',
implying at least some prior heating of the IGM. The analysis framework
developed here can be applied to upcoming 21-cm observations, thereby providing
unique insights into the sources which heated and subsequently reionized the
very early Universe.Comment: 7 pages, 1 figure, accepted to MNRAS (matches online version
Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal
The properties of the first galaxies, expected to drive the Cosmic Dawn (CD)
and the Epoch of Reionization (EoR), are encoded in the 3D structure of the
cosmic 21-cm signal. Parameter inference from upcoming 21-cm observations
promises to revolutionize our understanding of these unseen galaxies. However,
prior inference was done using models with several simplifying assumptions.
Here we introduce a flexible, physically-motivated parametrization for high-
galaxy properties, implementing it in the public code 21cmFAST. In particular,
we allow their star formation rates and ionizing escape fraction to scale with
the masses of their host dark matter halos, and directly compute inhomogeneous,
sub-grid recombinations in the intergalactic medium. Combining current Hubble
observations of the rest-frame UV luminosity function (UV LFs) at high- with
a mock 1000h 21-cm observation using the Hydrogen Epoch of Reionization Arrays
(HERA), we constrain the parameters of our model using a Monte Carlo Markov
Chain sampler of 3D simulations, 21CMMC. We show that the amplitude and scaling
of the stellar mass with halo mass is strongly constrained by LF observations,
while the remaining galaxy properties are constrained mainly by 21-cm
observations. The two data sets compliment each other quite well, mitigating
degeneracies intrinsic to each observation. All eight of our astrophysical
parameters are able to be constrained at the level of or better.
The updated versions of 21cmFAST and 21CMMC used in this work are publicly
available.Comment: 16 pages, 8 figures and 2 tables. Associated movies are available at
http://homepage.sns.it/mesinger/21CMMC.html. Updated to match the published
version. All results and conclusions remain unchange
Simultaneously constraining the astrophysics of reionization and the epoch of heating with 21CMMC
The cosmic 21\u2009cm signal is set to revolutionize our understanding of the early Universe, allowing us to probe the 3D temperature and ionization structure of the intergalactic medium (IGM). It will open a window on to the unseen first galaxies, showing us how their UV and X-ray photons drove the cosmic milestones of the epoch of reionization (EoR) and epoch of heating (EoH). To facilitate parameter inference from the 21\u2009cm signal, we previously developed 21CMMC: a Monte Carlo Markov Chain sampler of 3D EoR simulations. Here, we extend 21CMMC to include simultaneous modelling of the EoH, resulting in a complete Bayesian inference framework for the astrophysics dominating the observable epochs of the cosmic 21\u2009cm signal. We demonstrate that second-generation interferometers, the Hydrogen Epoch of Reionization Array and Square Kilometre Array will be able to constrain ionizing and X-ray source properties of the first galaxies with a fractional precision of the order of 3c1\u201310\u2009per\u2009cent (1\u3c3). The ionization history of the Universe can be constrained to within a few percent. Using our extended framework, we quantify the bias in EoR parameter recovery incurred by the common simplification of a saturated spin temperature in the IGM. Depending on the extent of overlap between the EoR and the EoH, the recovered astrophysical parameters can be biased by 3c3\u3c3\u201310\u3c3
21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionisation and cosmic dawn
We extend 21CMMC, a Monte Carlo Markov Chain sampler of 3D reionisation
simulations, to perform parameter estimation directly on 3D light-cones of the
cosmic 21cm signal. This brings theoretical analysis closer to the tomographic
21-cm observations achievable with next generation interferometers like HERA
and the SKA. Parameter recovery can therefore account for modes which evolve
with redshift/frequency. Additionally, simulated data can be more easily
corrupted to resemble real data. Using the light-cone version of 21CMMC, we
quantify the biases in the recovered astrophysical parameters if we use the
21cm power spectrum from the co-evolution approximation to fit a 3D light-cone
mock observation. While ignoring the light-cone effect under most assumptions
will not significantly bias the recovered astrophysical parameters, it can lead
to an underestimation of the associated uncertainty. However significant biases
(few -- 10 ) can occur if the 21cm signal evolves rapidly (i.e.
the epochs of reionisation and heating overlap significantly) and: (i)
foreground removal is very efficient, allowing large physical scales
(~Mpc) to be used in the analysis or (ii) theoretical
modelling is accurate to within per cent in the power spectrum
amplitude.Comment: Submitted to MNRAS, comments welcome. 13 pages, 5 figures and 2
table
- …