Personne

Lei Li

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Publications associées (55)

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Test of lepton flavor universality and search for lepton flavor violation in B -> Kll decays

Olivier Schneider, Sun Hee Kim, Mingkui Wang, Chao Wang, Donghyun Kim, Lei Li, Yiming Li, Xiao Wang

We present measurements of the branching fractions for the decays B -> K mu(+)mu(-) and B -> Ke(+)e(-), and their ratio (R-K), using a data sample of 711 fb(-1) that contains 772 x 10(6) B (B) over bar events. The data were collected at the Gamma(4S) reson ...

Springer Nature2021

Measurement of R(D) and R(D*) with a Semileptonic Tagging Method

Olivier Schneider, Sun Hee Kim, Tagir Aushev, Mingkui Wang, Chao Wang, Donghyun Kim, Lei Li, Yiming Li, Xiao Wang

The experimental results on the ratios of branching fractions R(D) = B((B) over bar -> D tau(-)(nu) over bar (tau))/B((B) over bar -> Dl(-)(nu) over bar (e)) and R(D*) = B((B) over bar -> Dtau(-)(nu) over bar (tau))/B((B) over bar -> Dtau(-)(nu) over bar ...

2020

Dalitz analysis of D-0 -> K- pi(+)eta decays at Belle

Olivier Schneider, Sun Hee Kim, Tagir Aushev, Mingkui Wang, Chao Wang, Yixing Chen, Donghyun Kim, Lei Li, Yiming Li

We present the results of the first Dalitz plot analysis of the decay D-0 -> K-pi(+)eta. The analysis is performed on a data set corresponding to an integrated luminosity of 953 fb(-1) collected by the Belle detector at the asymmetric-energy e(+)e(-) KEKB ...

American Physical Society2020

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Roberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain. In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment. He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020). Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).

Alessandro Degano

Xin Chen

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Personnes menant des recherches similaires (32)