Welcome to LISO’s documentation!

Introduction

LISO (LInac Simulation and Optimization) is a library which provides a unified interface for numerical simulations, experiments and data management in the era of big data and artificial intelligence. LISO was initially created only for simulation and optimization back in 2017. After a more than two years interruption, it is live again but aims at:

• providing a high-level API to run a large numbers of beam dynamics simulations using a combination of different codes;

• providing a unified IO for the simulated and experimental data;

• providing an interface for deep learning and deep reinforcement learning studies on accelerator physics.

INSTALLATION:

• Installation

SIMULATION:

• Simulating a Linac
• Optimizing beam parameters
• Scanning Linac Parameters
• Reading Simulated Data

EXPERIMENT:

• Machine Interface
• Monitoring
• Scanning Machine Parameters
• Reading Experimental Data

API REFERENCE:

• Experiment
• IO
• Optimization
• Optimizers
• Data processing
• Scan
• Simulation
• Visualization

TUTORIALS:

• Reading simulated data in HDF5 formats
• Reading experimental data in HDF5 formats