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Summer Students 2013
Table of contents: |
| | Karla Peña
Dustin Anderson
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Associated production of W/Z bosons and jets
The production of a massive vector boson alongside one or more jets is an important background for Higgs and SUSY searches. I will analyze this background using the full CMS dataset, examining the scaling of the number of events as a function of jet multiplicity.
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| | Thomas Arnold
Machine Learning for the LHC Grid |
| | My research will focus on exploring how machine learning, specifically reinforcement learning, can be used to better handle matching of the workflows of the LHC experiments with LHC Grid resources. I will be using the RLPypackage (written in Python) developed at MIT to facilitate the investigation into reinforcement learning by implementing my own simulations of computer systems. The aim is to understand which learning systems better fit with a distributed system as the LHC Grid as well as to evaluate the speed with which such systems can be learned.
Christopher Hayes |
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Phase 2 Analysis of WW → 2l 2ν with high pileup
With the luminosity upgrades to the LHC in the next decade, the pileup in events will be approximately 3x larger than those seen at the end of Run 1. With this expectation, I'm currently working on analysis of these Phase 2 events, specifically looking at lepton detection efficiencies and MET in simulated Drell-Yan -> ee and WW -> 2l2nu events at 14TeV and 140 pileup. These channels are of particular interest to the continued study of the properties of the Higgs-like boson. |
| | Marco Cruz-Heredia |
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