Opendata, web and dolomites


NEw Physics searches with tAu Leptons

Total Cost €


EC-Contrib. €






 NEPAL project word cloud

Explore the words cloud of the NEPAL project. It provides you a very rough idea of what is the project "NEPAL" about.

electrons    riddles    electron    searches    detector    positron    standard    model    universe    2018    recording    special    event    dataset    2025    techniques    suggesting    times    landscape    limits    recorded    learning    anomalies    tests    asymmetry    belle    search    attobarns    2020    fundamental    signal    forbidden    manifestations    experiments    reconstruction    below    sm    particle    experiment    thanks    statistic    machine    rare    reshaping    start    samples    origin    environment    interpretation    universality    unable    flavour    final    tau    nepal    thirty    clean    full    interactions    reinforced    nature    operation    sophisticated    leptons    95    selections    domain    factory    if    muons    channels    experimentally    time    searched    timescale    heavy    experimental    constituents    lepton    world    antimatter    reported    dramatically    framework    family    extensively    describing    physics    violating    decays    inverse    succeeds    violation    total    dark    team   

Project "NEPAL" data sheet

The following table provides information about the project.


Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙954˙831 €
 EC max contribution 1˙954˙831 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2024-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

If the Standard Model (SM) of particle physics succeeds in describing the behaviour of fundamental constituents of matter and their interactions observed experimentally, it is unable to solve the most important riddles of our time such as the nature of the dark matter or the origin of the matter-antimatter asymmetry of the Universe. Manifestations of physics beyond the SM are extensively searched for, in particular through heavy flavour decays that are rare or forbidden in the SM. In this domain, final states involving electrons and muons are widely studied while channels involving tau leptons are much less known because of their challenging reconstruction. The interest of decays involving tau leptons is also dramatically reinforced by the recent anomalies reported in tests of lepton flavour universality violation and rare B decays, suggesting a special role of the third family. In particular, in the presence of physics beyond the SM, lepton flavour violating tau decays and rare B decays into tau leptons could be just below the current experimental limits. With the NEPAL project, I propose to build a team of analysts that will exploit the world’s largest B and tau samples recorded in the clean environment of an electron/positron machine by the Belle II experiment. The full detector operation will start end 2018 and aims at recording five times more statistic than the total previous flavour-factory experiments by 2020, and a final dataset of 50 inverse attobarns by 2025. Thanks to the development of a common analysis framework, sophisticated machine learning techniques for signal selections, the use of a full event interpretation and the reconstruction of 95% of tau decays, my team will search for more than thirty lepton flavour violating tau decays and rare B decays into tau leptons. This will allow to set the world’s best limits in the best possible timescale, reshaping the landscape of searches for physics beyond the Standard Model.

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The information about "NEPAL" are provided by the European Opendata Portal: CORDIS opendata.

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