Student: Alexander Castillo
Mentor: Diana Gamzina
Project Title: Modeling Materials Behavior under RF Loading
Project Description: The feasibility and implementation of next-generation particle accelerators is dependent upon their cost and performance metrics, which scale with accelerating gradients. Materials strength has been determined to play a significant role in enabling higher accelerating gradients. During this project the student will develop a computational model for establishing stresses that material experiences when under RF loading which can in turn be compared to material strength. The material model can be written in Matlab, Python, or another commonly employed programming language such that it is suitable for adaptation to a range of operating frequencies, temperatures, and materials. The computational model will benefit other applications as well, such as RF electronics, high data rate communications, and millimeter wave to THz imaging.
Student: Philopatear Iweda
Mentor: Filippos Toufexis
Project Title: Streak Camera GPU Simulator
Project Description: Traditionally, picosecond and femtosecond time-resolved experiments - i.e. molecular movies - are obtained in synchrotron light sources and free-electron lasers using x-ray pulses with time duration smaller than the time resolution of the phenomenon under study. As traditional synchrotron light sources get upgraded into diffraction limited storage rings that operate with multi-picosecond pulses, doing time-resolved experiments with sub-picosecond resolution becomes impossible. We are developing a streak camera based on a high-gradient RF accelerator with theoretical femtosecond resolution. State-of-the-art streak cameras have picosecond resolution and are typically used for intensity versus time measurements. 2D movies can be inferred from the streak camera data. We need to run very efficient simulations of the system we developed to generate test cases for Machine Learning-based movie reconstruction. Therefore we are developing a GPU simulator of the streak camera to drastically speed up the simulation time. We are looking for a student to code a fast steak camera simulator in C++ running on GPUs. It is expected that by the end of the summer, the student will generate a conference paper. Skills / Experience: (1) Strong C++ coding skills, Mathematica highly desired; (2) Experience with electromagnetic or multi-physics simulation codes such as ANSYS and CST is not necessary, but certainly desirable; (3) Excellent technical communication skills.
Student: McCay Rhodebeck
Mentor: Nicole Neveu
Project Title: LCLS tools development – Archiver
Project Description: The Linac Coherent Light Source (LCLS) and the next-generation LCLS-II are extremely bright X-ray light sources capable of producing extremely short (femtosecond) x-ray pulses capable of resolving extremely fast chemical, physical and biological processes. The copper-based free electron laser (LCLS) and the superconducting LCLS-II will work in parallel and sharpen our view of how nature works at the atomic level. The student will work in Python3 to develop a Python based archiver tools that will be hosted on github. This includes being able to grab and analyze large amounts accelerator related data on the LCLS servers. This internship would be a good fit for a science or engineering student, with data processing skills.