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Tiziana Di Matteo

Researcher at Carnegie Mellon University

Publications -  261
Citations -  27035

Tiziana Di Matteo is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Galaxy & Supermassive black hole. The author has an hindex of 58, co-authored 233 publications receiving 25089 citations. Previous affiliations of Tiziana Di Matteo include Australian National University & University of Oxford.

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The evolution of galaxy intrinsic alignments in the MassiveBlackII universe

TL;DR: In this paper, the authors investigate the redshift evolution of the intrinsic alignments (IA) of galaxies in the MBII simulation and select galaxy samples above fixed subhalo mass cuts at $z = 0.6$ and trace their progenitors to $z=3$ along their merger trees.
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The Halo Occupation Distribution of Black Holes: Dependence on Mass

TL;DR: In this article, the authors investigate the halo occupation distribution of black holes within a hydrodynamic cosmological simulation that directly follows black hole growth and find that the black hole occupation number can be described by the form N_BH proportional to 1+ (M_Host)^alpha where alpha evolves mildly with redshift indicating that a given mass halo at low redshift tends to host fewer BHs than at high redshift (as expected as a result of galaxy and BH mergers).
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Lyalpha versus X-ray heating in the high-z IGM

TL;DR: In this paper, the effect of X-ray and Lyalpha photons on the intergalactic medium temperature was examined, and it was shown that IGM heating is always dominated by X-rays unless the Lyalpha photon contribution from stars in objects with mass M < 10^8 Msun becomes significantly enhanced with respect to the Xray contribution from BHs in the same halo.
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How does the eurodollar interest rate behave

TL;DR: In this paper, an empirical analysis on Eurodollar interest rates daily data in the time period 1990-1996, is performed and compared with Libor data in 1984-1998, and the complementary cumulative distributions for the daily fluctuations at different maturity dates and the Power Spectral Density are computed.
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Cosmic variance of z > 7 galaxies: prediction from bluetides

TL;DR: In this paper, the authors used the largest volume cosmological simulation of galaxy formation to estimate the cosmic variance for current and upcoming surveys, and found that cosmic variance is larger than Poisson variance.