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Dark matter in the Milky Way: a precision era

Grant number: 14/11070-2
Support type:Research Grants - Young Investigators Grants
Duration: December 01, 2014 - November 30, 2018
Field of knowledge:Physical Sciences and Mathematics - Physics
Principal Investigator:Fabio Iocco
Grantee:Fabio Iocco
Home Institution: Instituto de Física Teórica (IFT). Universidade Estadual Paulista (UNESP). Campus de São Paulo. São Paulo , SP, Brazil
Associated grant(s):16/50006-3 - Bayes in the Milky Way: determining the dark matter profile in our galaxy, a novel approach, AP.R SPRINT
15/50073-0 - Multichannel particle searches in the precision era of dark matter astronomy, AP.R SPRINT
Associated scholarship(s):14/22985-1 - Dark matter in the Milky Way: a precision era, BP.JP

Abstract

The existence of a "dark" component of matter, namely of a class of particles not interacting with electromagnetic radiation, not belonging to the Standard Model, yet coupled with gravity, is a central tenet of modern Cosmology. Its presence in different environments on a large range of scales has been proven with astrophysical observations of diverse nature as well as its non-belonging to the Standard Model. Yet, its nature eludes us as of today. The synergy between collider probes, astrophysical signatures and Earth based experiments is at the basis of the current effort to frame the nature of the Dark Matter particles. This project aims at using local astrophysical observables, namely dynamical and morphological information on our own Galaxy, in order to improve our knowledge and reduce the uncertainties in this multi-channel search. The goal of this project is two-fold: a)obtaining unprecedented, model-independent information on the spatial and dynamical distribution of the Dark Matter in the Milky Way, by making use of the most up-to-date observations; b)use such information in order to thin out the uncertainties on current and future indirect and direct detection experiments. Beside its crucial use in the framework of particle physics, the information provided will represent an observational determination of the dark matter structure in our own Galaxy, and be of relevance for the understanding of Galaxy formation in a cosmological context. (AU)

Articles published in Agência FAPESP Newsletter about the research grant
Researcher presents evidence of dark matter in the Milky Way 

Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BENITO, MARIA; CUOCO, ALESSANDRO; IOCCO, FABIO. Handling the uncertainties in the Galactic Dark Matter distribution for particle Dark Matter searches. Journal of Cosmology and Astroparticle Physics, n. 3 MAR 2019. Web of Science Citations: 6.
BELYAEV, ALEXANDER; BERTUZZO, ENRICO; BARROS, CRISTIAN CANIU; EBOLI, OSCAR; DI CORTONA, GIOVANNI GRILLI; IOCCO, FABIO; PUKHOV, ALEXANDER. Interplay of the LHC and non-LHC dark matter searches in the effective field theory approach. Physical Review D, v. 99, n. 1 JAN 3 2019. Web of Science Citations: 5.
NEGRELLI, CAROLINA; BENITO, MARIA; LANDAU, SUSANA; IOCCO, FABIO; KRAISELBURD, LUCILA. Testing modified gravity theory in the Milky Way. Physical Review D, v. 98, n. 10 NOV 30 2018. Web of Science Citations: 1.
IOCCO, FABIO; BENITO, MARIA. An estimate of the DM profile in the Galactic bulge region. PHYSICS OF THE DARK UNIVERSE, v. 15, p. 90-95, MAR 2017. Web of Science Citations: 10.
BENITO, MARIA; BERNAL, NICOLAS; BOZORGNIA, NASSIM; CALORE, FRANCESCA; LOCCO, FABIO. Particle Dark Matter constraints: the effect of Galactic uncertainties. Journal of Cosmology and Astroparticle Physics, n. 2 FEB 2017. Web of Science Citations: 20.
PATO, MIGUEL; LOCCO, FABIO. galkin: A new compilation of Milky Way rotation curve data. SOFTWAREX, v. 6, p. 54-62, 2017. Web of Science Citations: 6.
PATO, MIGUEL; IOCCO, FABIO; BERTONE, GIANFRANCO. Dynamical constraints on the dark matter distribution in the Milky Way. Journal of Cosmology and Astroparticle Physics, n. 12 DEC 2015. Web of Science Citations: 62.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.