From 2.5-D to 1.5-D: Fast, Reduced-Order Simulations With the TESLA-Family of Large-Signal Codes

• Published in: IEEE transactions on electron devices Vol. 70; no. 10; pp. 1 - 6
• Main Author: Chernyavskiy, Igor A.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-10-2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Codes; Computational modeling; Degrees of freedom of motion; Integrated circuit modeling; Klystrons; large-signal code; Magnetic fields; Mathematical models; Model reduction; Modelling; performance of the code; Prediction algorithms; reduced-order algorithm
• ISSN: 0018-9383; 1557-9646
• DOI: 10.1109/TED.2023.3306316

This study presents the introduction of the reduced-order, 1.5-D versions of the TESLA-family of 2.5-D large-signal codes, which have been implemented by simplifications in the particle's motion model by its restriction in a single, z -direction only. This in effect assumes that the guiding magnetic field is infinite what leads to a complete elimination of any transverse motion of particles, including their radial motion and rotation. Such simplifications in the algorithms allow reach up to two-times improvement in their performance due to significantly reduced number of operations, but they also in effect reduce an overall dimensionality of the algorithms from 2.5-D to 1.5-D only. The results of the modeling performed by the newly introduced 1.5-D versions of TESLA-family of large-signal codes and their comparisons with the results of modeling by the original 2.5-D algorithms are discussed in detail. Results of this study allow find accuracy and range of applicability of the 1.5-D large-signal codes and help to determine the place of such reduced-order algorithms.