Neural Networks in Modeling Beam Dynamics using Taylor Mapping

6 Jul 2021, 15:35
15m
Conference Hall or Online - https://jinr.webex.com/jinr/j.php?MTID=m6e39cc13215939bea83661c4ae21c095

Conference Hall or Online - https://jinr.webex.com/jinr/j.php?MTID=m6e39cc13215939bea83661c4ae21c095

Sectional reports 3. Computing for MegaScience Projects Computing for MegaScience Projects

Speaker

Nataliia Kulabukhova (Saint Petersburg State University)

Description

The paper describes method for modeling beam dynamics based on the calculation of ordinary differential equations with Taylor mapping. This method allows you to get the solutions of the system both in symbolic and numerical form. Using numerical simulation methods, one can obtain partial solutions of beam dynamics process. The paper considers the possibility of solving the inverse problem - finding a general solution based on the obtained private data using machine learning methods. The solution of this problem will allow to predict the dynamics of the beam more accurately, and help to manage the control systems settings .

Primary author

Nataliia Kulabukhova (Saint Petersburg State University)

Presentation materials