2010
DOI: 10.1111/j.1365-2966.2010.16933.x
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H i as a probe of the large-scale structure in the post-reionization universe

Abstract: We model the distribution of neutral hydrogen (H i) in the post‐reionization universe. This model uses gravity‐only N‐body simulations and an ansatz to assign H i to dark matter haloes that is consistent with observational constraints and theoretical models. We resolve the smallest haloes that are likely to host H i in the simulations; care is also taken to ensure that any errors due to the finite size of the simulation box are small. We then compute the smoothed one‐point probability distribution function and… Show more

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Cited by 121 publications
(193 citation statements)
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“…This is clearly in tension with our results but also with the lower limits on the HI mass of the Sausage and Virgo clusters. The model 2 of Bagla et al (2010) lies in between models 1 and 3, and therefore the discrepancies among our results and the observational limits will be larger than those obtained by employing the model 3. We therefore concentrate our analysis in the model 3 of Bagla et al (2010).…”
Section: Comparison With Theoretical Models and Implications For Intecontrasting
confidence: 72%
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“…This is clearly in tension with our results but also with the lower limits on the HI mass of the Sausage and Virgo clusters. The model 2 of Bagla et al (2010) lies in between models 1 and 3, and therefore the discrepancies among our results and the observational limits will be larger than those obtained by employing the model 3. We therefore concentrate our analysis in the model 3 of Bagla et al (2010).…”
Section: Comparison With Theoretical Models and Implications For Intecontrasting
confidence: 72%
“…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: 95%
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