ACAT 2025

Scientific Programme

Track 1: Computing Technology for Physics Research

This track includes topics that impact how we do physics analysis and research that are related to the enabling technology. Here are some examples:

1. Software: language interoperability; software development and quality; analysis libraries and tools
2. Computing: distributed and parallel computing, including programming models; architectures, from accelerators (GPU, ASIC, FPGA) to HPC; floating-point models; hardware abstractions; online computing, including data transfer, High Level Triggering (HLT); advanced computing models such as Quantum Computing
3. Data: data transfer, networking; data formats and compression
4. Simulation and Visualization: detector and accelerator simulations, full and fast; visualization techniques and event displays

Track 2: Data Analysis - Algorithms and Tools

There are as many different algorithms and methods as their are physicists. New and novel categories of algorithms are part of what this conference is looking for. Here are some examples:

1. Machine Learning: neural network architectures and their applicability; hyperparameter tuning; optimization and deployment
2. Differentiable Programming
3. Statistical Methods and Tools
4. Novel Reconstruction Algorithms (e.g. for track finding)

Track 3: Computations in Theoretical Physics: Techniques and Methods

Computing techniques and algorithms used in the theoretical side of physics research. Here are some examples:

1. Automatic Systems: automatic computation systems: from amplitudes to event generators; multi-dimensional Integration -- methods and tools; intensive high-precision numerical nomputations -- algorithms and systems
2. Higher Orders: matching fixed-order calculations to parton showers; multi-loop calculations and higher-order corrections
3. Computer Algebra Techniques and Applications
4. Computational Physics: Theoretical and Simulation Aspects