Project description DEENESFRITPL Primordial signatures on our large-scale cosmic canvas The standard model of cosmology attempts to explain the evolution and contents of our Universe, yet important questions remain unanswered. The data to fill in some of its gaps may be hidden in the large-scale structure of the Universe, patterns much larger than individual galaxies or groups of galaxies. The physical processes shaping this structure each left their ‘fingerprint’ on the distinct clustering pattern at different scales. With the support of the Marie Skłodowska-Curie Actions programme, the Cosmo-Bridge project will harness advanced statistics to connect the observables to the underlying physics. The new analysis methods will support upcoming large-volume galaxy surveys to maximise their potential for discovery. Show the project objective Hide the project objective Objective Over the last decades, we have established a standard cosmological paradigm by combining the information from complementary cosmological probes. However, many intriguing questions remain to be answered: the nature of dark energy, the driving mechanisms of the cosmic inflation, and masses of neutrinos. In this proposal, I will focus on the cosmological information content of the large-scale structure (LSS) of the Universe. Different physical processes leave their unique imprints on the clustering pattern of LSS at different scales, and N-point statistics act a bridge between the observables and the underlying physics. In the coming years, new large-volume galaxy surveys will probe the LSS of the Universe with exquisite detail. However, traditional analysis methods, based mostly on 2-point statistics alone, are not adequate for these new surveys and must urgently be revised to ensure their full potential. This proposal aims to maximise the information to be extracted from the upcoming surveys. With the Marie-Curie fellowship, I will carry out a consistent joint analysis of the 2- and 3-point statistics, and develop a complementary but simplified treatment of the N-point statistics. These tools will be applied to the new data to constrain the cosmological models, with special focus in understanding the properties of the primordial signatures and models beyond the standard cosmological paradigm. In the outgoing phase, I will work at Univesity of Florida (US) to benefit from the expertise in the leading algorithms to estimate higher-order statistics, their theoretical modelling, and knowledge about high-performance computing. In the incoming phase, I will work at the Max Planck Institute for Extraterrestrial Physics (Germany), I will delve into the data from the real surveys and understand potential systematic errors. With the help of the experts at MPE, the experience and techniques acquired in the US will be applied to the datasets to extract more precise information. Fields of science natural sciencesmathematicsapplied mathematicsmathematical physicsnatural sciencesmathematicsapplied mathematicsstatistics and probabilitynatural sciencesphysical sciencesastronomyphysical cosmologynatural sciencesmathematicsapplied mathematicsmathematical model Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2020 - Individual Fellowships Call for proposal H2020-MSCA-IF-2020 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Net EU contribution € 264 669,12 Address Hofgartenstrasse 8 80539 Munchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. UNIVERSITY OF FLORIDA United States Net EU contribution € 0,00 Address Grinter hall 223 32611 5500 Gainesville See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 177 265,92
