ACAT2027

Scientific Programme

ACAT 2027 will feature a dynamic scientific program centered around plenary sessions, parallel tracks & poster sessions. It is designed to encourage exchange across disciplines and foster in-person interaction between communities working at the intersection of physics, computing, and artificial intelligence.

Parallel Track 1: Computing Technology for Physics Research

This track covers enabling technologies that shape how physics research and data analysis are performed, from software ecosystems to large-scale computing infrastructures.

1. Software: language interoperability; software design, sustainability, and quality; analysis libraries, frameworks, and tools
2. Computing Architectures & Models: distributed and parallel computing; programming models; heterogeneous architectures (GPUs, ASICs, FPGAs, HPC systems); floating-point and numerical models; hardware abstraction layers; online and trigger-level computing; emerging paradigms such as quantum computing
3. Data Technologies: high-throughput data transfer; networking; storage systems; data formats, compression, and I/O optimization
4. Simulation & Visualization: detector and accelerator simulations (full and fast); visualization methods; event displays; interactive and immersive analysis environments

Parallel Track 2: Data Analysis — Algorithms and Tools

This track focuses on innovative algorithms, analysis strategies, and software tools that enable extracting physics results from increasingly complex datasets.

1. Machine Learning: neural network architectures; training strategies; hyperparameter optimization; efficient deployment and inference
2. Differentiable Programming: end-to-end optimization, differentiable simulations, and analysis pipelines
3. Statistical Methods & Inference Tools: statistical modeling, uncertainty estimation, hypothesis testing, and global analysis frameworks
4. Novel Reconstruction & Pattern-Recognition Algorithms: advanced tracking, clustering, and object reconstruction methods

Parallel Track 3: Computations in Theoretical Physics — Techniques and Methods

This track addresses computational approaches and algorithmic advances supporting theoretical physics research and precision calculations.

1. Automated Computational Systems: symbolic and numerical frameworks from amplitudes to event generators; multidimensional integration techniques; high-precision numerical algorithms
2. Higher-Order Calculations: multi-loop computations; higher-order corrections; matching fixed-order calculations to parton showers
3. Computer Algebra: symbolic computation techniques and their applications in theoretical modeling
4. Computational Theoretical Physics: numerical simulations, lattice and continuum methods, and algorithmic developments for theoretical studies