G J Peter Elmer
Princeton University, NJ·Physics
Particle physicists test the Standard Model, the best current theory of matter's basic building blocks. They also hunt for physics beyond it, such as explanations for dark matter and neutrino masses.
- Fields
Physics
Computer Science
- Topics
high energy physics
particle physics
Large Hadron Collider
- Grants
- 2 known grants, through Aug 2028
What they work on
- Develop new algorithms for reconstruction and triggering, which turn raw detector signals into particles and select which collisions to keep, for the ATLAS and CMS experiments at the High-Luminosity LHC.
- Build high-performance analysis systems that shorten physicists' time-to-insight on HL-LHC data, while sustaining distributed high-throughput computing and integrating facilities research into production infrastructure.
- Create data organization, management and access (DOMA) systems that can store and deliver exabyte-scale particle physics datasets to researchers.
- Promote "living publications" in particle physics that publish likelihood functions and statistical models, so results can be combined and reinterpreted, for example in effective field theory analyses.
- Preserve analysis workflows in REANA, a reproducible-analysis platform, with a recast interface so new theories can be tested against existing analyses without rebuilding them.
More about the research
Starting around 2029, the High-Luminosity Large Hadron Collider (HL-LHC) at CERN will help drive this search. Its ATLAS and CMS experiments will record about 10 times as much data, from 100 times as many collisions, as were used to find the Higgs boson. Handling this flood of data requires new software and computing. Making published results reusable also requires better ways to share data and analyses. These two grants address both needs.
Why it matters
Without major software advances, much of the scientific potential of the upgraded LHC detectors could go unrealized. This work aims to let physicists process and analyze unprecedented data volumes in the search for dark matter and other physics beyond the Standard Model. Methods for exabyte-scale data and reproducible "living publications" could also help other data-intensive research fields. Physicists could reuse published results to test new theories without repeating experiments.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Kyle Cranmer
University of Wisconsin-Madison, WI·Physics
Foster adoption of "living publications" in high energy physics, which bundle written results, data, and computational procedures so they can be examined, reproduced, and reused.
John Parsons
Columbia University, NY·Physics
Measure properties of the Higgs boson with the ATLAS detector at the Large Hadron Collider to probe fundamental particles and possible links to dark energy.
Suyog Shrestha
Washington College, MD·Physics
Search ATLAS data from the Large Hadron Collider for new Higgs-like scalar particles that decay into two bottom quarks and two W bosons, in final states with one or two leptons, a decay channel ATLAS has not yet studied.
The school
Princeton University: 26 labs on PI Pages, $559M a year on research, 403 research doctorates a year.
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