21 research outputs found
Detailed study of the ELAIS N1 field with the uGMRT - I. Characterizing the 325 MHz foreground for redshifted 21 cm observations
In this first paper of the series, we present initial results of newly
upgraded Giant Meterwave Radio Telescope (uGMRT) observation of European
Large-Area ISO Survey-North 1 (ELAIS-N1) at 325 MHz with 32 MHz bandwidth.
Precise measurement of fluctuations in Galactic and extragalactic foreground
emission as a function of frequency as well as angular scale is necessary for
detecting redshifted 21-cm signal of neutral hydrogen from Cosmic Dawn, Epoch
of Reionization (EoR) and post-reionization epoch. Here, for the first time we
have statistically quantified the Galactic and extragalactic foreground sources
in the ELAIS-N1 field in the form of angular power spectrum using the newly
developed Tapered Gridded Estimator (TGE). We have calibrated the data with and
without direction-dependent calibration techniques. We have demonstrated the
effectiveness of TGE against the direction dependent effects by using higher
tapering of field of view (FoV). We have found that diffuse Galactic
synchrotron emission (DGSE) dominates the sky, after point source subtraction,
across the angular multipole range and for
direction-dependent and -independent calibrated visibilities respectively. The
statistical fluctuations in DGSE has been quantified as a power law of the form
. The best fitted
values of (A, ) are ( , ) and ( , ) for the two different calibration
approaches. For both the cases, the power law index is consistent with the
previous measurements of DGSE in other parts of sky.Comment: 13 pages, 5figures, 4 tables; accepted for publication in MNRA
Cross-correlation of the HI 21-cm Signal and Lyman-alpha Forest: A Probe Of Cosmology
Separating the cosmological redshifted 21-cm signal from foregrounds is a
major challenge. We present the cross-correlation of the redshifted 21-cm
emission from neutral hydrogen (HI) in the post-reionization era with the
Ly-alpha forest as a new probe of the large scale matter distribution in the
redshift range z=2 to 3 without the problem of foreground contamination. Though
the 21-cm and the Ly-alpha forest signals originate from different
astrophysical systems, they are both expected to trace the underlying dark
matter distribution on large scales. The multi-frequency angular
cross-correlation power spectrum estimator is found to be unaffected by the
discrete quasar sampling, which only affects the noise in the estimate. We
consider a hypothetical redshifted 21-cm observation in a single field of view
1.3 degrees (FWHM) centered at z=2.2 where the binned 21-cm angular power
spectrum can be measured at an SNR of 3 sigma or better across the range 500 <
l < 4000 . Keeping the parameters of the 21-cm observation fixed, we have
estimated the SNR for the cross-correlation signal varying the quasar angular
number density n of the Ly-alpha forest survey. Assuming that the spectra have
SNR ~5 in pixels of length 44 km/s, we find that a 5 sigma detection of the
cross-correlation signal is possible at 600 < l < 2000 with n=4 deg^{-2}. This
value of n is well within the reach of upcoming Ly-alpha forest surveys. The
cross-correlation signal will be a new, independent probe of the astrophysics
of the diffuse IGM, the growth of structure and the expansion history of the
Universe.Comment: Revised paper, accepted to MNRA
Constraining large scale HI bias using redshifted 21-cm signal from the post-reionization epoch
In the absence of complex astrophysical processes that characterize the
reionization era, the 21-cm emission from neutral hydrogen (HI) in the
post-reionization epoch is believed to be an excellent tracer of the underlying
dark matter distribution. Assuming a background cosmology, it is modelled
through (i) a bias function b(k,z), which relates HI to the dark matter
distribution and (ii) a mean neutral fraction (x_{HI}) which sets its
amplitude. In this paper, we investigate the nature of large scale HI bias. The
post-reionization HI is modelled using gravity only N-Body simulations and a
suitable prescription for assigning gas to the dark matter halos. Using the
simulated bias as the fiducial model for HI distribution at z\leq 4, we have
generated a hypothetical data set for the 21-cm angular power spectrum (C_{l})
using a noise model based on parameters of an extended version of the GMRT. The
binned C_{l} is assumed to be measured with SNR \gtrsim 4 in the range 400 \leq
l \leq 8000 at a fiducial redshift z=2.5. We explore the possibility of
constraining b(k) using the Principal Component Analysis (PCA) on this
simulated data. Our analysis shows that in the range 0.2 < k < 2 Mpc^{-1}, the
simulated data set cannot distinguish between models exhibiting different k
dependences, provided 1 \lesssim b(k) \lesssim 2 which sets the 2-sigma limits.
This justifies the use of linear bias model on large scales. The largely
uncertain x_{HI} is treated as a free parameter resulting in degradation of the
bias reconstruction. The given simulated data is found to constrain the
fiducial x_{HI} with an accuracy of \sim 4% (2-sigma error). The method
outlined here, could be successfully implemented on future observational data
sets to constrain b(k,z) and x_{HI} and thereby enhance our understanding of
the low redshift Universe.Comment: 10 pages, 11 figures, 2 tables. Accepted in MNRAS. Revised to match
the accepted versio