Objective
High precision is the next frontier for the Large Hadron Collider (LHC). It requires accurate and precise theoretical predictions. The goal of this project is twofold: establish a statistically solid framework for estimating the uncertainty on theoretical predictions, and producing more precise higher-order parton distribution functions (PDFs).
Theoretical predictions are not exact, and carry therefore an uncertainty due to the approximate method (perturbation theory) used to compute physical observables. Assessing this uncertainty is not obvious, and standard techniques are not always reliable and lack of statistical interpretation, limiting their usability. HiPPiE@LHC will overcome these problems by proposing a Bayesian approach to assess theory uncertainties, which will make use of all the information available on the perturbative expansion and will provide a probability distribution for the unknown exact result. The approach will be similar to the Cacciari-Houdeau method, but will contain several conceptual and technical improvements, which will effectively make it more reliable.
Then, new PDFs will be fitted from data using higher-order theoretical predictions, mostly based on all-order resummations, and including for the first time theory uncertainties. The computation of all the new ingredients needed to achieve this task will be part of the project. This also include the development of novel techniques (e.g. the extension of threshold resummation to fully differential level). These additions will increase the reliability and quality of the fit. The new PDFs will represent a substantial improvement over previous generations, and will be crucial for achieving higher precision in theoretical predictions.
The outcome of this project will be a milestone for the High-Energy Physics community, and will open the door to high precision phenomenology in the next phase of the LHC.
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.
- natural sciences physical sciences theoretical physics particle physics particle accelerator
- natural sciences mathematics applied mathematics statistics and probability bayesian statistics
- natural sciences physical sciences quantum physics quantum field theory
- natural sciences physical sciences theoretical physics particle physics higgs bosons
- natural sciences computer and information sciences internet world wide web
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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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-ST - Standard EF
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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) H2020-MSCA-IF-2016
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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.
00044 Frascati
Italy
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.