Student opportunities: Summer 2021

The Accelerator Science and Engineering Traineeship (ASET) program at Michigan State University (MSU) offers PhD and master's graduate students in physics and astronomy and engineering an exciting training opportunity. To be eligible for this program, the students must be United States citizens or permanent residents. Per instructions from the MSU provost, on-campus programs for undergraduate students are suspended this summer. Therefore, research projects are offered that can be performed remotely working with FRIB instructors. Below is a list of paid undergraduate research projects taking place in summer 2021. To be considered for one of the projects, complete the student questionnaire.

Paid undergraduate summer research in the Accelerator Systems Division at FRIB

The funding source requires the applicant to be a U.S. citizen or permanent resident.

Design and testing of superconducting radio-frequency cavities
Supervisor: Prof. K. Saito and Dr. W. Hartung, and Cong Zhang

The state-of-the art technology is being applied for construction of superconducting radio frequency (SRF) cavities which are widely used in particle accelerators. Particularly, the Facility for Rare Isotope Beams is based on 400 MeV/u continuous wave superconducting linear accelerator. The student project deals with the design of an SRF cavity and participation in the RF characterization of modern SC cavities.  The cavity design will be started from an analytic Pill box cavity, then go forward more realistic cavity using a commercial software which solves Maxwell’s equations in complex boundary conditions. The student will also participate and gain experience with cold testing and RF measurements of FRIB cavities at 4 K and 2 K, if the FRIB cavity testing schedule is allowed. For this program, the student has to have understood Maxwell's equation in electromagnetics. 

To be considered for this project, complete the student questionnaire.

High-performance code for particle tracking 
Supervisor: Prof. P.N. Ostroumov and Dr. A. Plastun  

Although the requirement of high-performance is general for any beam dynamics code, it is critical for applications dedicated to restoring the accelerator operation in case of faults or changing the accelerator tune per users' request. The project deals with the optimization of an existing code to balance the accuracy and computation time. The parallel computing on multiple CPU or GPU cores will be tested. The project requires experience in numerical computations and methods in python. Experience with the implementation of parallel computing algorithms in python is desirable.

To be considered for this project, complete the student questionnaire.

Charged-particle interaction modeling: Interface, data analysis and visualization
Supervisor: Prof. Y. Hao

Accelerator simulations use high-performance computing resources to predict charged particle‘s motion and will generate a massive amount of data. In this project, the participant will develop an interface and data processing package for a high-performance computation package for calculating the charged particle interactions. The research involves developing a python module to invoke calculations on an HPC cluster and properly process the results for visualization or further machine learning algorithms.

To be considered for this project, complete the student questionnaire.

Modeling fields of FRIB separator magnets for beam transport
Prof. P.N. Ostroumov and Dr. M. Portillo

Modeling of ion transport through beam lines is fundamental to accelerator technology and systems for delivering ions to experiments. Rare isotope ions produced by nuclear reactions using in-flight methods require large aperture magnets that operate at high fields. Bending and focusing magnets of this type are being used in the FRIB separator system which is located after the reaction target. Beam dynamics are heavily dependent on the accuracy to which the magnet field distributions can be modeled. Since beam dynamic models rely on simplified field distribution models with limited sets of parameters, it is necessary to fit the parameter to measured or simulated field data.

Under the conditions that the separator magnets operate under, the field distributions vary significantly with field excitation strength. The effect is mainly due to field saturation effects in the ferromagnetic return yoke material. Large quantities of field data from magnet will be fitted to parameter based models using numerical minimization algorithms in ROOT and/or other software systems. The goal is to have an accurate field representation over the entire operating range of every magnet. The parameters are to be entered into beam simulation software for use in optimizing magnet beam settings during beam transport.

To be considered for this project, complete the student questionnaire.

Fast power diamond devices
Supervisor: Prof. Sergey V. Baryshev 

Microwave wireless systems represent a critical component of modern society in applications spanning communication, the internet of things, remote sensing and healthcare, automotive and military radars, and directed energy weapon. Our ability to improve rf and microwave wireless functionality and enable new modalities relies on the development of new materials and device architectures. Capability improvements must be achieved without increasing size or power. This will improve efficiency and compactness for better sustainability and autonomy, which are desirable in smart homes, cars, cubesats, and any fielded device. 

Performance of any power ac device is limited by its power-frequency product. In solid-state electronics, the power-frequency product for a transistor or a diode is described by the Johnson’s figure of merit as JFOM=Ebr*vsat, where Ebr is the breakdown field and vsat is the saturated drift charge velocity that is ~107 cm/s for all known semiconductors and semimetals. Because diamond transcends any other semiconductor in terms of the breakdown field that can reach 107 V/cm (for comparison, Si has Ebr ~105 V/cm), diamond diodes and transistors are poised to be the next electronics generation that is ultrafast and high power. 

In this project, modelling work concerned with power diamond devices operating between 10 GHz to 1 THz will be conducted using analytical frameworks and using simulations in PSpice and/or ADS and/or TCAD environments. Skills and Requirements: PSpice, ADS, TCAD (Sentaurus or Silvaco). 

This project can support 2 students.

To be considered for this project, complete the student questionnaire.

Beam emittance measurement
Supervisor: Prof. P.N. Ostroumov and Dr. Q. Zhao  

Beam emittance is one of the most important beam parameters in particle accelerator. There are several methods to measure beam emittance. One of them at FRIB is pepper-pot. It is composed of a pepper-pot mask to sample beamlets, a scintillation screen to convert ions into photons, a CCD camera to record the beamlet images on the screen, a computer to control the device, take data, and calculate the beam emittance. You will not only develop software for data acquisition and processing, but also receive training and get hands on experience on a modern accelerator facility.    

To be considered for this project, complete the student questionnaire.

Design of magnets
Supervisor: Prof. P.N. Ostroumov and Dr. Q. Zhao 

An accelerator, no matter a compact table-top cyclotron, or a 1-km-long linac, typically consists of various magnets. Some of the magnets change the direction of beam propagation, some confine beam and keep beam size small, some manipulate beam distributions. You will learn POISSON code, a most widely used magnet design code, and design magnets for FRIB. You will develop Python scripts to interface POISSON code in order to optimize field distribution and reduce aberrations. The magnetic fields calculated by POISSON can be used for particle tracking. You will also have opportunity to learn beam optics simulations.

To be considered for this project, complete the student questionnaire.

Development of the virtual accelerator for FRIB pre-separator system
Supervisor: Prof. P.N. Ostroumov, Dr. T. Zhang and Dr. M. Portillo

Virtual accelerator is a software application that built upon EPICS (Experimental Physics and Industrial Control System), to provide the similar controls environment as the real accelerator, all the physics behavior of the virtual devices (components of the virtual accelerator) is simulated by various of physics code, e.g. FLAME, TRACK, COSY. The virtual accelerator for FRIB pre-separator is needed to develop different kinds of high-level applications to serve the machine commissioning and operation. This project requires the experience of working with Linux environment for Python development. The knowledge of EPICS is a plus.

To be considered for this project, complete the student questionnaire.

Accelerator Science and Engineering Traineeship program

The Accelerator Science and Engineering Traineeship (ASET) program curriculum consists of courses, practical training at the Facility for Rare Isotope Beams and National Superconducting Cyclotron Laboratory at MSU and at U.S. Department of Energy (DOE) national laboratories, and thesis requirements.

The ASET program is part of MSU’s number-one-ranked nuclear physics graduate program, according to the U.S. News & World Report’s rankings of graduate schools. Additionally, each year approximately 26 percent of U.S. nuclear physics graduate students receive part of their training at MSU.

Support for several kinds of graduate fellowships in ASET is provided by the U.S. Department of Energy Office of Science (DOE-SC) Office of High Energy Physics, DOE-SC Office of Nuclear Physics, and the National Science Foundation.