Objective
With this proposal I aim at removing astrophysical biases in SN cosmology that limit improvements in the derivation of properties of the dark energy (DE). DE is the cause of the recent acceleration of the expansion of the Universe and accounts for ~70% of its total energy. The initial discovery based on distance measurements from Type Ia Supernovae (SNeIa) has since been confirmed with several independent probes. Today, the goal of cosmology is to understand the nature of DE, and SNeIa remain a central probe for this endeavor. However, the nature of SNeIa remains largely unknown, which limits our ability to accurately trace the properties of the Universe. The proposed research program focuses on solving this problem.
The project takes place at the frontier between astronomy, cosmology and data-science, and consists of three main interconnected work-packages:
1. Understand the influence of the interstellar dust on the SN reddening, based on the unique combination of ground based spectrophotometry and high-resolution HST (space) UltraViolet-photometry;
2. Map SN progenitor variations across environments through next-generation large-scale transient surveys;
3. Combine the knowledge of the two former packages into a unique SN framework capable of adapting as the Universe evolves across time and distance. This will be used to derive accurate measurement of the Hubble constant and the dark energy equation of state parameters.
The project is made possible by a combination of state-of-the-art SN and galactic datasets from ZTF, SNfactory and an ongoing Hubble Space Telescope program of up to 136 orbits (PI: Rigault). The HST data will enable the first measurement of stellar-age and the interstellar dust at the SN location.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2017-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75794 PARIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.