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Follow Mike Beaumier's journey as a physics student at the University of California, Riverside. Learn about his background, timeline, and work at PHENIX. Discover his interests and areas of expertise including data structures, Perl scripting, PHENIX databases, and more.
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Student Introduction The Story of Mike Beaumier PHYSICS Mike Beaumier University of California Riverside 2015 July 9
Some Background When I’m not doing physics…
Timeline and Work at PHENIX 2009 • Started Grad School: University of California at Riverside 2010 • Took a bunch of classes 2011 • Finished coursework • Played with Vernier Analysis (run 11) • Took First Shift (DAQ Operator + VC) 2012 • Started Run 12 Vernier Analysis • RPC1 building & testing • DimuonQA analysis • Fast Production (muons) 2013 • Spin Monitor Software management • Fast Production support • Started W-Analysis thesis analysis 2014 • Mostly doing analysis work 2015 • Working to complete analyses, contemplating starting to write a thesis
My Interests / Stuff I Can Help With • Data structures • Creation/Compiling of classes into libraries for faster analysis • Perl Scripting + regular expressions (its basically magic) • Working with PHENIX databases • PRDFs • Condor, job automation • C++ coding • VIM mastery
Vernier Analysis – Luminosity, p+p->X cross section • *assumed area of 2D Gaussian • 107 Filled Bunches • 1 m^2 = 10^28 barns • 9.38 MHz Clock Rate Blue Beam Yellow Beam Maximum Displacement Maximum Overlap Time • Understand Systematic Effects • And Corrections • BBC trigger Efficiency • BBC vertex Efficiency • Hourglass Effect Maximum Displacement Beam Displacement PHENIX IR, Facing Beam Axis
Proton Spin Structure Studied for over 20 years – we’re still working to understand substructure contribution to “1/2” Large Uncertainty In Sea Quark Polarization Quark Polarization measured to be ~30% of Proton Spin via DIS Semi-inclusive deep inelastic scattering constrains P.D.F.s – they are limited by large uncertainties from dealing with fragmentation functions Spin dependent PDF’s for , from DSSV global fit PHENIX rapidity sensitivity range
Experimental Observable – • Collide polarized and unpolarized protons – interactions mediated by P.D.F.s • interaction creates real W. Maximal parity violating interaction • Count helicity combinations of decay leptons • Calculate , use knowledge of ‘valence quark’ polarization to access to sea-quark polarized parton distribution functions.
Data Set Composition Fake Muon Background Hadronic decay in Muon Tracker reconstructed as high pT muons Real Muon Background Other processes which create muons, we model this with simulated data Signal The actual signal data we want to look at. Even with recent hardware upgrades, signal comprises only 4 in 100 million events
Analysis Strategy Construct uncorrelated kinematic variables to generate probability density functions which can be used to discriminate between Signal and Background muon tracks Form PDFs Filter Data Use generated PDFs to assign a statistical likelihood ratio to each event. This likelihood ratio is used to cut out background events from total data set Calculate Likelihood Unbinned Maximum Likelihood Fit: Construct new set of PDFs. Fit PDFs representing Fake Muons, Real Background Muons, and W-signal muons to remaining data. Extract Signal to Background Ratio Calculate Asymmetry With Dilution Asymmetry is calculated, corrected for SBR dilution