Publications by Siyu Chen | EPFL Graph Search

Towards a muon collider (vol 83, 864, 2023)

Riccardo Rattazzi, Varun Sharma, Siyu Chen, Xavier Buffat, Brian Quinn Henning, Filippo Nardi, Niko Neufeld, Luca Bottura, Andrea Wulzer, Roberto Franceschini

Springer2024

Boosting likelihood learning with event reweighting

Andrea Wulzer, Siyu Chen, Alfredo Glioti

Extracting maximal information from experimental data requires access to the likelihood function, which however is never directly available for complex experiments like those performed at high energy colliders. Theoretical predictions are obtained in this ...

Springer Nature2024

Towards a muon collider

Riccardo Rattazzi, Varun Sharma, Siyu Chen, Xavier Buffat, Brian Quinn Henning, Filippo Nardi, Niko Neufeld, Luca Bottura, Andrea Wulzer, Roberto Franceschini

A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions at high luminosity and 10 TeV centre of mass energy are being investigated by ...

Springer2023

Advanced Phenomenology for Indirect New Physics Searches

Siyu Chen

Searching indirectly for physics beyond the standard model requires careful investigation of collider data and methodological advances that are the subject of this thesis. In the first part, we develop a multivariate analysis tool to compare data with the ...

EPFL2022

Planted XY model: Thermodynamics and inference

Lenka Zdeborová, Guanhao Huang, Siyu Chen, Giovanni Piccioli

In this paper we study a fully connected planted spin glass named the planted XY model. Motivation for studying this system comes both from the spin glass field and the one of statistical inference where it models the angular synchronization problem. We de ...

2022

Learning from radiation at a very high energy lepton collider

Riccardo Rattazzi, Andrea Wulzer, Alfredo Glioti, Siyu Chen, Lorenzo Ricci

We study the potential of lepton collisions with about 10 TeV center of mass energy to probe Electroweak, Higgs and Top short-distance physics at the 100 TeV scale, pointing out the interplay with the long-distance (100 GeV) phenomenon of Electroweak radia ...

Springer Nature2022

Parametrized classifiers for optimal EFT sensitivity

Andrea Wulzer, Alfredo Glioti, Siyu Chen

We study unbinned multivariate analysis techniques, based on Statistical Learning, for indirect new physics searches at the LHC in the Effective Field Theory framework. We focus in particular on high-energy ZW production with fully leptonic decays, modeled ...

Springer Nature2021