Project description
Assessing la supernovae distances
The precise estimation of la supernovae (SNe la) distances is essential to accurately determine the cosmic expansion history, local calculations of the Hubble constant and properties of dark energy. However, the existing optical sample restricts the constraints on dark energy due to systematic errors. Near-infrared (NIR) observations of SNe Ia are a way to obtain more precise and accurate distances. The EU-funded BayeSN project will use the Hubble Space Telescope and ground-based observatories to build a ~10X larger sample of SNe Ia with high-quality optical and NIR data. The project will develop a next-generation probabilistic model for SNe Ia spectral energy distributions in the optical-to-NIR, fusing advanced hierarchical Bayesian modelling and functional data analysis techniques.
Objective
Type Ia supernovae (SNe Ia) are used as “standardiseable candles”: their peak luminosities can be inferred from their optical light curve shapes and colours, so their distances can be estimated from their apparent brightnesses. SN Ia distances with high precision and small systematic error are essential to accurate constraints on the cosmic expansion history, local measurements of the Hubble constant, and the properties of the dark energy driving the acceleration, in particular, its equation-of-state parameter w. The current global sample used for cosmology has grown to over a thousand SNe Ia. Future surveys will boost that number by orders of magnitude. However, the constraints on dark energy with the current optical sample are already limited, not by statistical uncertainties from the numbers of SNe, but by systematic errors. Near-infrared (NIR) observations of SN Ia are a route to more precise and accurate distances and significantly enhance their cosmological utility. SNe Ia are excellent standard candles in the NIR, and are less vulnerable to absorption by dust in the host galaxies. These good NIR properties are not exploited by the conventional optical models currently used for cosmological SN Ia analysis. Furthermore, the present useful sample of SN Ia with NIR data is relatively small compared to the growing nearby or distant optical samples. In this Project, we will leverage our involvement in new SN surveys using the Hubble Space Telescope and ground-based observatories to build a ~10X larger sample of SNe Ia with high-quality optical and NIR data. We will develop the next-generation probabilistic model for SN Ia spectral energy distributions (SEDs) in the optical-to-NIR, accounting properly for the variabilities and uncertainties inherent in the data by fusing advanced hierarchical Bayesian modelling and functional data analysis techniques. We will apply our state-of-the-art model to our new SN datasets and LSST to obtain robust cosmological inferences.
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.
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.
- engineering and technology materials engineering colors
- humanities history and archaeology history
- natural sciences physical sciences astronomy physical cosmology
- natural sciences physical sciences astronomy stellar astronomy supernova
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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)
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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
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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-COG - Consolidator 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-2020-COG
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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.
CB2 1TN CAMBRIDGE
United Kingdom
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