2015
DOI: 10.1088/0004-637x/803/1/21
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LATE-TIME COSMOLOGY WITH 21 cm INTENSITY MAPPING EXPERIMENTS

Abstract: Simulations play a vital role in testing and validating H i 21-cm power spectrum estimation techniques. Conventional methods use techniques like N-body simulations to simulate the sky signal which is then passed through a model of the instrument. This makes it necessary to simulate the H i distribution in a large cosmological volume, and incorporate both the light-cone effect and the telescope's chromatic response. The computational requirements may be particularly large if one wishes to simulate many realizat… Show more

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Cited by 366 publications
(448 citation statements)
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References 96 publications
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“…It has been recently pointed out that using an instrument like the future SKA, the constraints on the cosmological parameters will be much tighter if the intensity mapping technique is employed (see Bull et al 2015). In order to extract the maximum information from these surveys, an exquisite knowledge of the spatial distribution of neutral hydrogen is needed from the theoretical side.…”
Section: Summary and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…It has been recently pointed out that using an instrument like the future SKA, the constraints on the cosmological parameters will be much tighter if the intensity mapping technique is employed (see Bull et al 2015). In order to extract the maximum information from these surveys, an exquisite knowledge of the spatial distribution of neutral hydrogen is needed from the theoretical side.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…As discussed in the introduction, the shape and amplitude of the function MHI(M, z) is of primary importance for future surveys that aim at putting constraints on the cosmological parameters using intensity mapping. We now compare our findings with the theoretical model of Bagla et al (2010), which has been commonly used in the literature to perform forecasts (Camera et al 2013;Bull et al 2015;Villaescusa-Navarro et al 2014, 2015bCarucci et al 2015;Villaescusa-Navarro et al 2015a) and to create mock 21cm intensity mapping maps (Seehars et al 2015). Bagla et al (2010) proposed a functional form for the MHI(M, z) function as follows…”
Section: Comparison With Theoretical Models and Implications For Intementioning
confidence: 97%
“…The collective emission from the clouds, however form a diffuse background in all radio observations at observing frequencies less than 1420 MHz. Tomographic imaging using the low resolution intensity mapping of this diffuse background radiation is a potentially rich probe of cosmology (Bharadwaj & Sethi 2001;Chang et al 2008;Wyithe 2008;Bharadwaj et al 2009;Wyithe & Loeb 2009;Camera et al 2013;Bull et al 2015).…”
Section: Cross Correlation Signal and Estimation Of Neutrino Massmentioning
confidence: 99%
“…The suitable choice of the w i takes care of the fact that the pixel noise for each of the QSO spectra are in principle different. We have, in Fourier space, 10) whereρ is the Fourier transform of ρ, ⊗ denotes a convolution and ∆ N F (k) denotes a noise term. We define the cross-correlation estimatorÊ aŝ…”
Section: Cross-correlation Power Spectrummentioning
confidence: 99%