Person

Yifei Guo

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Related publications (4)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Study of chi(cJ) decaying into phi K*(892)(K)over-bar

François Bianchi, Jun Dong, Jiannong Fang, Hua Zhang, Mingkui Wang, Fang Liu, Yixing Chen, Shan Jin, Xiaoqing Zhou, Yuan Yuan, Fengping Li, Qian Wang, Lei Zhou, Sofia Carmen Suzanne Spataro, Zhirui Xu, Lin Yang, Ke Liu, Yu Zheng, Siyuan Wang, Junqiu Liu, Yi Zhang, Jianing Li, Lei Zhang, Yong Yang, Hao Liu, Jian Liu, Yang Qin, Feng Liu, Xuan Li, Lei Li, Kun Liu, Cheng Li, Xiao Wang, Yi Wang, Xin Chen, Wei Li, Jie Chen, Yifei Guo, Shuai Liu, Zheng Wang, Qianyu Zhao

Using a data sample of 106 million psi(3686) events collected with the BESIII detector operated at the BEPCII storage ring, we study for the first time the decays chi(cJ) -> phi(KSK +/-)-K-0 pi(-/+) and chi(cJ) -> phi K+K-pi(0) in the E1 radiative transiti ...

2015

STAGES: the Space Telescope A901/2 Galaxy Evolution Survey

Yifei Guo

We present an overview of the Space Telescope A901/2 Galaxy Evolution Survey (STAGES). STAGES is a multiwavelength project designed to probe physical drivers of galaxy evolution across a wide range of environments and luminosity. A complex multicluster sys ...

Blackwell Publishing Ltd, Oxford2009

Study of the solar anisotropy of cosmic ray primaries of about 200 GeV energy with the L3+C muon detector

Eduardo Sanchez, Horst Vogel, Aurelio Bay, Yu Lei, Jian Zhao, Liang Sun, Qian Wang, Zhirui Xu, Matthias Weber, Ji Hyun Kim, Werner Lustermann, Xiao Wang, Yifei Guo, Xuan Yang, Zheng Wang

Context. Primary cosmic rays experience multiple deflections in the non-uniform galactic and heliospheric magnetic fields which may generate anisotropies. Aims. A study of anisotropies in the energy range between 100 and 500 GeV is performed. This energy r ...

2008

People doing similar research (32)

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).

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Yiming Li

Xin Chen