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Tommaso Treu

Researcher at University of California, Los Angeles

Publications -  796
Citations -  56051

Tommaso Treu is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Galaxy & Redshift. The author has an hindex of 126, co-authored 715 publications receiving 49090 citations. Previous affiliations of Tommaso Treu include Space Telescope Science Institute & University of California.

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Strong Lensed QSOs with Variability Detectable by LSST: How many are there?

TL;DR: In this paper , the number of strong lensed quasi-stellar objects (QSOs) with sufficient variability to be detected by the Vera C. Rubin Telescope Legacy Survey of Space and Time (LSST) was forecast.
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Modeling Strong Lenses from Wide-Field Ground-Based Observations in KiDS and GAMA

TL;DR: In this paper, the authors apply automated Bayesian lens modeling methods to observations from public data releases of overlapping large ground-based imaging and spectroscopic surveys: Kilo-Degree Survey (KiDS) and Galaxy and Mass Assembly (GAMA), respectively.
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The Mass Assembly History of Spheroidal Galaxies: Did Newly-Formed Systems Arise Via Major Mergers?

TL;DR: This paper examined the properties of a morphologically-selected sample of 0.4
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Revisiting Abell 2744: a powerful synergy of GLASS spectroscopy and HFF photometry

TL;DR: In this paper, the authors performed blind and targeted searches for faint line emitters on all objects, including the arc sample, within the field of view (FoV) of GLASS prime pointings and reported 55 high quality spectroscopic redshifts, 5 of which are for arc images.
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The Cosmic Evolution of Faint Satellite Galaxies as a Test of Galaxy Formation and the Nature of Dark Matter

TL;DR: In this paper, the authors compare the results of recent observations of satellites out to $z=0.8$ based on Hubble Space Telescope images with the predictions of three different sets of state-of-the art semi-analytic models with underlying cold dark matter power spectra and one semianalytic model with an underlying Warm Dark Matter (WDM) power spectrum.