Description
Zoom Link, ID: 934 7906 6977, Code: 522727
This contribution reports the current status and recent progress of the CEPC core software, emphasizing its architecture, key components, and development workflow. The framework combines modern C++ and Python toolchains with a modular reconstruction chain and a unified geometry and conditions data model for long-term stability and reproducibility. We describe the continuous-integration and...
A highly granular scintillating-glass calorimeter is being developed for the AGORA detector concept, motivating dedicated software developments for detector simulation and event reconstruction. The detector geometry has been implemented in the CEPC software framework (CEPCSW) based on DD4hep, enabling Geant4 simulation and performance studies with EDM4hep-based event data.
This contribution...
The CEPC is a proposed high luminosity e+e− collider designed for precision measurements of the Higgs, W, and Z bosons. Its reference detector incorporates a long bar crystal ECAL, which employs long, narrow crystal bars arranged in orthogonal layers to deliver fine 3D shower imaging and excellent compatibility with Particle Flow reconstruction. [1]
For CEPC physics analyses, large volumes...
The CEPC tracker relies on a high-granularity Time Projection Chamber (TPC) to provide precise track reconstruction and particle identification. Traditional reconstruction relies on signals digitized using pad-like methods, which fails to utilize the full signal features during track reconstruction. To more accurately explore the true capabilities of pixel-readout TPCs, we incorporated...
Future e⁺e⁻ collider experiments place stringent performance demands on their detectors. As a foundation of particle physics measurements, the tracking system must not only reconstruct particle trajectories but also deliver high-precision momentum determination. A drift chamber equipped with cluster counting can significantly enhance particle identification; moreover, the recorded...
In this talk, we present our experience in organizing high-energy physics
computing at JINR for data processing and analysis, drawing on examples from
the LHC, NICA, JUNO, and other experiments.
DIRAC has long served as a key middleware solution for distributed computing in high‑energy physics. Since 2012, IHEP has operated a DIRAC‑based system for BESIII, and has since extended it to support CEPC Monte Carlo production and JUNO data processing, maintaining a stable job success rate of over 95%. The platform offers integrated workload and data management, supporting heterogeneous...
Grid Data Transfer Infrastructure for CEPC
We are developing a unified monitoring framework for Distributed Computing Infrastructure (DCI), covering computing resources, storage, data transfer, and key services. Recent work focuses on automating Grafana dashboard generation and maintenance, reducing manual configuration and improving consistency across sites.
The SAM Test framework has also been refactored into a more modular...
Recent developments in artificial intelligence, particularly large language models (LLMs), have shown promise for improving productivity in high-energy physics. While there has been published work on the use of LLMs for data processing, very little has been published on their application to high-energy physics (HEP) research workflows.
In this paper, we describe our efforts to apply LLMs...
