David W. Miller
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- School: University of Chicago
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- Department: Physics
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Location:
5801 S Ellis Ave
Chicago, IL - 60637 - Dates at University of Chicago: -
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Biography
University of Chicago - Physics
Resume
2011
I am an experimental physicist who specializes in high-speed electronics instrumentation
including embedded systems and high-throughput computing and data analysis. I am interested in both precision tests of the known universe (i.e. the Standard Model of Particle Physics) as well as searching for new laws of nature and new particles that might explain mysteries such as dark matter.
David
Miller
Enrico Fermi Institute
The University of Chicago
Chicago
Enrico Fermi Institute
Assistant Professor
The University of Chicago
2006
Doctor of Philosophy - PhD
Physics
Stanford University
Numerical Analysis
Mathematical Modeling
C++
Scientific Computing
Optical Sensors
Data analysis
Monte Carlo Simulation
Data Analysis
Python (Programming Language)
Electronics
Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction
The hard-scatter processes in hadronic collisions are often largely contaminated with soft background coming from pileup in proton-proton collisions
or underlying event in heavy-ion collisions. This paper presents a new background subtraction method for jets and event observables (such as missing transverse energy) which is based on the previously published Constituent Subtraction algorithm. The new subtraction method
called Iterative Constituent Subtraction
applies event-wide implementation of Constituent Subtraction iteratively in order to fully equilibrate the background subtraction across the entire event. Besides documenting the new method
we provide guidelines for setting the free parameters of the subtraction algorithm. Using particle-level simulation
we provide a comparison of Iterative Constituent Subtraction with several existing methods from which we conclude that the new method has a significant potential to improve the background mitigation in both proton-proton and heavy-ion collisions.
Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction
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