This model for close collaboration with National Lab scientists is very close to that for Beausang’s successful Stewardship Science Academic Alliance Program (SSAA), started at Yale and continuing here at Richmond. This research, focusing on measuring cross sections of interest to the Stewardship Science Program, has involved a close collaboration with scientists from LLNL [21-23]. Over the years, two postdoctoral fellows and several graduate students and undergraduate students have been involved in this research. Many of these have spent time closely working with our LLNL colleagues. Our most recent success story relates to one of our Richmond undergraduates, who is now pursuing his Ph.D. in nuclear physics at the University of Kentucky. Another of Beausang’s former students has just joined the physics faculty in Rhodes College. One of the postdoctoral fellows on the SSAA project is working on Single Event Upset events at IBM; the second is still at Richmond but has taken a new position at LLNL.The intellectual merits (NSF Criterion 1) of this proposal liea)in the characterization of the detectorb)in the development of the data acquisition and storage mechanism, and c)importantly, in the development of various data mining techniques to remove background signals from the system. The broader impacts (NSF Criterion 2) liea)in the enormous potential benefits to society and to national security if the system is successful and b)in the training of the next generation of nuclear scientists.Management PlanBeausang will lead the project. He will coordinate the group efforts and lead weekly (more often if necessary) group meetings to set priorities, discuss goals and assess progress. Beausang will be responsible for purchasing the detectors and data acquisition and for implementing the detector system at Richmond. Gilfoyle will manage and maintain the supercomputer cluster. His expertise in a parallel processor programming environment will be invaluable when we begin to implement the database.7
Beausang and Gilfoyle are both experts on nuclear detection and analysis techniques. Together they will develop the algorithms and tools to search the database and eliminate false positives caused by background features.Bunn is an expert on various background subtraction and fitting routines for CMB. He is also an expert programmer and knowledgeable about data storage techniques. He will develop algorithms, possibly based on existing CMB tools (Wiener filtering, Karhunen-Loeve transform, wavelets, etc.), to search the data. He brings this expertise plus a fresh, cross-disciplinary approach to the group.Together we will undertake to hire and train a postdoctoral fellow to help us develop the detector system, the database, and data mining techniques.