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S. Gallerani

Publications and source records attributed to S. Gallerani.

76 records · Page 5Linked to original sources

Glimpsing through the high redshift neutral hydrogen fog

We analyze the transmitted flux in a sample of 17 QSOs spectra at 5.74 11 Myr. The observed widths of the peaks are found to be systematically larger than the simulated ones. Reasons for such discrepancy might reside either in the photoionization equilibrium assumption or in radiative transfer effects.

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On the minimum mass of reionization sources

By means of carefully calibrated semi-analytical reionization models, we estimate the minimum mass of star-forming haloes required to match the current data. Models which do not include haloes of total mass M < 10^9 M_sun fail at reproducing the Gunn-Peterson and electron scattering optical depths simultaneously, as they contribute too few (many) photons at high (low, z \approx 6) redshift. Marginally acceptable solutions require haloes with M \approx 5 \times 10^7 M_sun at z \approx 10, corresponding to virial temperatures (\sim 10^4K) for which cooling can be ensured by atomic transitions. However, a much better match to the data is obtained if minihaloes (M \sim 10^6 M_sun) are included in the analysis. We have critically examined the assumptions made in our model and conclude that reionization in the large-galaxies-only scenario can remain viable only if metal-free stars and/or some other exotic sources at z > 6 are included.

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On the Size of HII Regions around High Redshift Quasars

We investigate the possibility of constraining the ionization state of the intergalactic medium (IGM) close to the end of reionization (z ~ 6) by measuring the size of the HII regions in high-z quasars spectra. We perform a combination of multiphase smoothed particle hydrodynamics (SPH) and 3D radiative transfer (RT) simulations to reliably predict the properties of typical high-z quasar HII regions, embedded in a partly neutral IGM (x_HI=0.1). In this work we assume a fixed configuration for the quasar lifetime and luminosity, i.e. t_Q=10^7 yr and N_gamma=5.2 10^56 s-1. From the analysis of mock spectra along lines of sight through the simulated QSO environment, we find that the HII region size derived from quasar spectra is on average 30 per cent smaller than the physical one. Additional maximum likelihood analysis shows that this offset induces an overestimate of the neutral hydrogen fraction, x_HI, by a factor of 3. By applying the same statistical method to a sample of observed QSOs our study favors a mostly ionized (x_HI < 0.06) universe at z=6.1.

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Constraining the reionization history with QSO absorption spectra

We use a semi-analytical approach to simulate absorption spectra of QSOs at high redshifts with the aim of constraining the cosmic reionization history. We consider two physically motivated and detailed reionization histories: (i) an Early Reionization Model (ERM) in which the intergalactic medium is reionized by PopIII stars at $z\approx 14$, and (ii) a more standard Late Reionization Model (LRM) in which overlapping, induced by QSOs and normal galaxies, occurs at $z\approx 6$. From the analysis of current Ly$α$ forest data at $z < 6$, we conclude that it is impossible to disentangle the two scenarios, which fit equally well the observed Gunn-Peterson optical depth, flux probability distribution function and dark gap width distribution. At $z>6$, however, clear differences start to emerge which are best quantified by the dark gap and peak width distributions. We find that 35 (zero) per cent of the lines of sight within $5.7< z <6.3$ show dark gaps widths $>50$ Angstrom in the rest frame of the QSO if reionization is not (is) complete at $z \gtrsim 6$. Similarly, the ERM predicts peaks of width $\sim 1$ Angstrom in 40 per cent of the lines of sight in the redshift range $6.0-6.6$; in the same range, LRM predicts no peaks of width $>0.8$ Angstrom. We conclude that the dark gap and peak width statistics represent superb probes of cosmic reionization if about ten QSOs can be found at $z > 6$. We finally discuss strengths and limitations of our method.

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