01
ATLAS · RUN 3
Higgs pair production
Searching for Higgs boson pair production in the bbγγ final state, with a focus on multivariate categorisation, flavour tagging and statistical inference.
PhD candidate · Particle physics
I study Higgs boson pair production with ATLAS and develop machine-learning methods for particle identification and reconstruction at future colliders.
Explore my researchATLAS · FCC-ee · CEPC
Research / 研究方向
My work connects precision Higgs measurements with the reconstruction challenges that will shape the next generation of collider experiments.
01
ATLAS · RUN 3
Searching for Higgs boson pair production in the bbγγ final state, with a focus on multivariate categorisation, flavour tagging and statistical inference.
02
FCC-ee · ALLEGRO
Developing geometry-aware machine-learning methods for particle-flow reconstruction in highly granular calorimeters at future electron–positron colliders.
03
CEPC · AC-LGAD
Combining TPC ionisation measurements with precision time-of-flight information to extend charged-hadron identification across a broad momentum range.
Selected work / 代表工作
A unified particle-identification study integrating TPC information with outer and inner AC-LGAD timing layers.
Run 3 analysis development spanning event categorisation, machine learning and the likelihood fit.
Graph- and geometry-aware reconstruction studies for the highly granular ALLEGRO detector concept.
Experience / 经历
2025 — present
Cotutelle doctoral research in Paris, contributing to the ATLAS Higgs programme and future-collider detector studies.
2023 — present
PhD candidate in particle physics, working at the interface of collider phenomenology, experimental analysis and detector-oriented machine learning.
Collaboration
Research spanning Higgs pair production, particle-flow reconstruction and precision charged-hadron identification.
Contact / 联系
I am currently based in Paris and work across the ATLAS and future-collider communities.
dian.yu@cern.ch