2023-24 Peder-Sather grant fellow: Simon Huiberts
Simon Huiberts is a student at Bergen University, Norway. A Peder-Sather grant has been awarded to Bergen and BEPP for collaborating on development of selenium film sensors deposited on CMOS readout integrated circuits for high rate and radiation pixel detectors. Simon spent 6 months in Berkeley and then returned to Bergen to carry out further development there.
2017-18 Peder-Sather grant fellow: Magne Lauritzen
Magne Lauritzen is a student at Bergen University, Norway. A Peder-Sather grant has been awarded to Bergen and BEPP for collaborating on development of readout integrated circuits for high rate and radiation pixel detector. Magne spent 6 months in Berkeley and then returned to Bergen to set up a testing lab there.
2016 BEPP Visiting Fellow: Federico Faccio
Federico Faccio is a researcher in the CERN.ch microelectronics group. He las led the understanding of high dose radiation tolerance in CMOS electronics, including seminar work to uncover radiation damage effects in submicron CMOS. His publications on the subject include: Radiation Effects on Embedded Systems, Springer 2007 (Velazco et. al. editors) and “Radiation-Induced Short Channel (RISCE) and Narrow Channel (RINCE) Effects in 65 and 130 nm MOSFETs,” IEEE Trans. Nucl. Science, Vol.62 , N.6 (2015). His visit to BEPP is motivated by current wok to better understand damage mechanisms in 65nm CMOS at high total dose and varying dose rate. He will give two lectures while in Berkeley.
Summer 2015 BEPP student fellowship recipient: David G. Clark
Charged particle tracking is the most CPU-intensive aspect of LHC event processing both on-line and off-line. Current algorithms run on CPU architectures and scale approximately quadratically with the number of tracks in a recorded collision (event), and hence with beam intensity. There is therefore great interest in alternative pattern recognition and track fitting algorithms that would be a better match for future computer architectures. During the BEPP-hosted “Connecting the Dots” workshop (see workshops) an effort was launched to create a Kaggle Machine Learning (ML) competition to explore ML techniques for LHC tracking. Under this fellowship, David Clark is working to set up this Kaggle competition, including:
1) defining a language-independent data format for LHC tracks and associated information
2) producing data sets suitable for training, testing, and validating the competition entries
3) developing a baseline ML algorithm to add to the competition documentation
David Clark is a rising junior at UC Berkeley from Cleveland, Ohio. He majors in physics and computer science and is also interested in mathematics.
As of 2015 David is working as a research assistant on the True North neuromorphic computing project at LBNL.
2015 BEPP outreach grant: IGenSpectrum
The grant supports the IGenSpectrum Summer Research Supplement for undergraduate researchers. This program provides additional opportunities for LGBT undergraduate students who stay at or visit Berkeley this summer to become involved in the scientific community. The students in the program will meet with graduate student leaders once per week for eight weeks to participate in activities such as journal club, lab tours, and extracurricular activities. Activities have direct relevance to experimental particle physics, including a tour to the Stanford Linear Accelerator Complex and conversations with a particle physics professors at Berkeley.
Visiting Physics Instrumentation PhD students:
Rebecca Carney, 2014-2019 (Berkely-Stockholm exchange program)
Rebecca is studying machine learning, neuromorphic computing, digital circuit design, and searching for long-lived exotic particles in ATLAS data. She is an author on the ATLAS experiment.
Veronica Wallangen, 2015-2018 (Berkely-Stockholm exchange program)
Veronica is studying analog circuit design, high speed data transmission, and pixel detector systems. She is an ATLAS experiment author.
Fuyue Wang, 2016-2017 (China Scholarship Council scholarship recipient)
Fuyue is optimizing the digitization of charge measurements in silicon pixel detectors using GEANT simulation, and updating the charge deposition models to properly include fluctuation in thin layers.