About: Brescia, M.

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Attributs	Valeurs
type	Person
sameAs	Brescia, M.
name	Brescia, M. Brescia, Massimo
personal mailbox	brescia@oacn.inaf.it
familyName	Brescia
Given name	M. Massimo
is relates of	http://hub.abes.fr/edp/periodical/aa/2014/volume_565/issue_2014/aa23251-13/authorship/31 http://hub.abes.fr/edp/periodical/aa/2012/volume_546/issue_2012/aa19755-12/authorship/2 http://hub.abes.fr/edp/periodical/aa/2016/volume_585/issue_2016/aa27399-15/authorship/9 http://hub.abes.fr/edp/periodical/aa/2014/volume_568/issue_2014/aa24383-14/authorship/1 http://hub.abes.fr/edp/periodical/aa/2015/volume_582/issue_2015/aa26601-15/authorship/19 http://hub.abes.fr/edp/periodical/aa/2014/volume_571/issue_2014/aa24102-14/authorship/15 http://hub.abes.fr/edp/periodical/aa/2013/volume_558/issue_2013/aa21955-13/authorship/29 http://hub.abes.fr/edp/periodical/aa/2015/volume_579/issue_2015/aa25599-14/authorship/17 http://hub.abes.fr/edp/periodical/aa/2023/volume_677/issue_2023/aa46121-23/authorship/19 http://hub.abes.fr/edp/periodical/aa/2018/volume_638/issue_2018/aa36980e-19/authorship/22 http://hub.abes.fr/edp/periodical/aa/2022/volume_657/issue_2022/aa41393-21/authorship/32 http://hub.abes.fr/edp/periodical/aa/2022/volume_666/issue_2022/aa43900-22/authorship/6 http://hub.abes.fr/edp/periodical/aa/2022/volume_667/issue_2022/aa44095-22/authorship/34 http://hub.abes.fr/edp/periodical/aa/2023/volume_669/issue_2023/aa44103-22/authorship/10 http://hub.abes.fr/edp/periodical/aa/2023/volume_671/issue_2023/aa45027-22/authorship/27 http://hub.abes.fr/edp/periodical/aa/2023/volume_671/issue_2023/aa45041-22/authorship/37 http://hub.abes.fr/edp/periodical/aa/2023/volume_671/issue_2023/aa45042-22/authorship/41 http://hub.abes.fr/edp/periodical/aa/2023/volume_675/issue_2023/aa46017-23/authorship/30 http://hub.abes.fr/edp/periodical/aa/2020/volume_644/issue_2020/aa39403-20/authorship/8 http://hub.abes.fr/edp/periodical/aa/2021/volume_649/issue_2021/aa39835-20/authorship/22 http://hub.abes.fr/edp/periodical/aa/2021/volume_654/issue_2021/aa41353-21/authorship/85 http://hub.abes.fr/edp/periodical/aa/2022/volume_658/issue_2022/aa42361-21/authorship/30 http://hub.abes.fr/edp/periodical/aa/2022/volume_660/issue_2022/aa42908-21/authorship/8 http://hub.abes.fr/edp/periodical/aa/2024/volume_684/issue_2024/aa48743-23/authorship/28 http://hub.abes.fr/edp/periodical/aa/2024/volume_687/issue_2024/aa48939-23/authorship/41 http://hub.abes.fr/edp/periodical/aa/2024/volume_684/issue_2024/aa46110-23/authorship/15 http://hub.abes.fr/edp/periodical/aa/2024/volume_685/issue_2024/aa48326-23/authorship/45 http://hub.abes.fr/edp/periodical/aa/2018/volume_656/issue_2018/aa42168-21/authorship/8 http://hub.abes.fr/edp/periodical/aa/2020/volume_636/issue_2020/aa37323-19/authorship/16 http://hub.abes.fr/edp/periodical/aa/2020/volume_642/issue_2020/aa38071-20/authorship/37 http://hub.abes.fr/edp/periodical/aa/2020/volume_643/issue_2020/aa38313-20/authorship/27 http://hub.abes.fr/edp/periodical/aa/2020/volume_644/issue_2020/aa37765-20/authorship/9 http://hub.abes.fr/edp/periodical/aa/2022/volume_657/issue_2022/aa41556-21/authorship/56 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http://hub.abes.fr/edp/periodical/aa/2023/volume_676/issue_2023/aa46283-23/authorship/4 http://hub.abes.fr/edp/periodical/aa/2018/volume_609/issue_2018/aa31758-17/authorship/5 http://hub.abes.fr/edp/periodical/aa/2018/volume_616/issue_2018/aa31942-17/authorship/12 http://hub.abes.fr/edp/periodical/aa/2019/volume_624/issue_2019/aa34794-18/authorship/7 http://hub.abes.fr/edp/periodical/aa/2019/volume_631/issue_2019/aa36427-19/authorship/19 http://hub.abes.fr/edp/periodical/aa/2023/volume_679/issue_2023/aa47551-23/authorship/16 http://hub.abes.fr/edp/periodical/aa/2020/volume_638/issue_2020/aa38373-20/authorship/10 http://hub.abes.fr/edp/periodical/aa/2022/volume_657/issue_2022/aa41935-21/authorship/27 http://hub.abes.fr/edp/periodical/aa/2014/volume_572/issue_2014/aa23551-14/authorship/3 http://hub.abes.fr/edp/periodical/aa/2024/volume_689/issue_2024/aa48784-23/authorship/31 http://hub.abes.fr/edp/periodical/aa/2024/volume_689/issue_2024/aa49385-24/authorship/17 http://hub.abes.fr/edp/periodical/aa/2024/volume_689/issue_2024/aa49500-24/authorship/30 http://hub.abes.fr/edp/periodical/aa/2024/volume_689/issue_2024/aa49609-24/authorship/31 http://hub.abes.fr/edp/periodical/aa/2024/volume_685/issue_2024/aa48388-23/authorship/20 http://hub.abes.fr/edp/periodical/aa/2022/volume_666/issue_2022/aa43950-22/authorship/34 http://hub.abes.fr/edp/periodical/aa/2023/volume_670/issue_2023/aa44795-22/authorship/15
is Author of	Intracluster light properties in the CLASH-VLT cluster MACS J1206.2-0847 The first and second data releases of the Kilo-Degree Survey Photometric redshifts with the quasi Newton algorithm (MLPQNA) Results in the PHAT1 contest Euclid preparation Euclid preparation Euclid preparation Euclid preparation CLASH-VLT: Abell S1063 Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments Nature versus nurture: relic nature and environment of the most massive passive galaxies at z< 0.5 Euclid preparation Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey Euclid: Identification of asteroid streaks in simulated images using StreakDet software Euclid preparation Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data Euclid preparation Euclid preparation Euclid preparation Euclid preparation Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy Euclid: Covariance of weak lensing pseudo- Cℓ estimates Euclid preparation Euclid preparation Euclid preparation ulisse: A tool for one-shot sky exploration and its application for detection of active galactic nuclei Euclid preparation Euclid: Fast two-point correlation function covariance through linear construction Galaxy morphoto-Z with neural Networks (GaZNets) Euclid: Cosmological forecasts from the void size function Supervised machine learning on Galactic filaments Euclid: Forecasts from the void-lensing cross-correlation

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