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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF KANSAS CENTER FOR RESEARCH, INC.
Doing Business As Name:University of Kansas Center for Research Inc
PD/PI:
  • Christopher Rogan
  • (785) 864-4268
  • crogan@ku.edu
Award Date:01/07/2020
Estimated Total Award Amount: $ 949,975
Funds Obligated to Date: $ 189,992
  • FY 2020=$189,992
Start Date:01/15/2020
End Date:12/31/2024
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.049
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CAREER: Probing the High Energy Frontier With the CMS Experiment
Federal Award ID Number:1945038
DUNS ID:076248616
Parent DUNS ID:007180078
Program:ELEMENTARY PARTICLE ACCEL USER
Program Officer:
  • Saul Gonzalez
  • (703) 292-2093
  • sgonzale@nsf.gov

Awardee Location

Street:2385 IRVING HILL RD
City:Lawrence
State:KS
ZIP:66045-7568
County:Lawrence
Country:US
Awardee Cong. District:02

Primary Place of Performance

Organization Name:University of Kansas Center for Research Inc
Street:2385 Irving Hill Rd
City:Lawrence
State:KS
ZIP:66045-7568
County:Lawrence
Country:US
Cong. District:02

Abstract at Time of Award

A complete understanding of the physics describing interactions at the smallest, subatomic lengths is elusive. Through the high-energy proton-proton collisions of CERN’s Large Hadron Collider (LHC), we can momentarily open a window to the highest energies known and simultaneously probe these tiny sizes, providing the opportunity to directly study fundamental physics in an otherwise inaccessible regime. This work includes a program of research at the University of Kansas (KU) which confronts open questions at these high-energy scales using existing and future data from the CMS experiment at the LHC. Rogan’s KU group are members of the Compact Muon Solenoid (CMS) experiment at the LHC, with most of the activities included in this project related to this effort. The project has two primary components: the analysis and interpretation of data collected by CMS, and the CMS detector itself. In both cases, there are elements that focus on already collected data and the operation of the experiment, with others looking forward to new approaches to analyzing data and future upgrades to the detector. A significant portion of this work is for a new comprehensive search for physics beyond the Standard Model related to new symmetries and Dark Matter, which includes development of a novel analysis paradigm that incorporates elements of unsupervised machine learning into searches for new physics, with proof-of-concept demonstrations planned with the existing CMS dataset. The group is also developing new, precision timing detectors for CMS, which will introduce an additional dimension to event reconstruction, facilitating searches for new physics involving long-lived particles. The group is also studying the timing reconstruction performance of the existing CMS electromagnetic calorimeter, with the goal of mitigating degradations in resolution through an improved reconstruction algorithm. The KU group is also focused on two initiatives targeting the public and the KU academic community. With KU undergraduates, the group is developing the "Fantasy Physics" outreach project, where students can compete with teams comprised of selected particle physics experiments in an online fantasy-sports-inspired format. The group also developed an inter-departmental "Learning Machine Learning" forum, which includes lectures, tutorials, and seminars serving members of the KU academic community who are interested in incorporating contemporary machine learning in their research. The group is also active in disseminating its research through public talks and outreach events. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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