The increasing data flow for LHC Run4 requires an architecture capable of handling massive parallelism. This shift demands a heterogeneous environment, creating the need for heterogeneous programming. Various ecosystems like KOKKOS and alpaka provide portability across different accelerators such as CPUs, GPUs, and FPGAs which are the most commonly used at CERN experiments. They achieve this...
We show some examples of computer algebra used in theoretical particle physics. The examples include analytic integration and summation and solving systems of linear, differential and difference equations and are based on the computer algebra packages Mathematica, Maple and Form.
We present Pepper, a general purpose framework for CMS data analysis developed at DESY. This is a python-based framework using columnar processing and the scikit-hep ecosystem of libraries, notably awkward and coffea. This approach offers processing speeds comparable to C++ frameworks, while being more approachable for recent graduates with experience of numpy and similar tools. Pepper extends...
The CMS High Granularity Calorimeter (HGCAL) will be an
entirely new calorimeter for the high-luminosity phase of the LHC. It
comprises hexagonal silicon modules and scintillating tile modules with
silicon photomultipliers for readout, i.e., SiPM-on-tile modules. At
DESY, about 2,000 modules are going to be assembled, which requires
rigorous and automated quality control (QC)...
