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.

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

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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