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  <titleInfo>
    <title>NEW TOOLS FOR JET ANALYSIS IN HIGH ENERGY COLLISIONS</title>
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    <namePart>Duffty, Daniel</namePart>
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    <namePart>Sullivan, Zack</namePart>
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  <abstract>Our understanding of the fundamental interactions of particles has come far in the last century, and is still pushing forward. As we build ever more powerful machines to probe higher and higher energies, we will need to develop new tools to not only understand the new physics objects we are trying to detect, but even to understand the environment that we are searching in. We examine methods of identifying both boosted objects and low energy jets which will be shrouded in a sea of noise from other pasts of the detector. We display the power of boosted-b tagging in a simulated W' search. We also examine the effetc of pile up on low energy jet reconstructions. For this purpose we develop a new priority-based jet algorithm, "p-jets", to cluster the energy that belongs together, but ignore the rest.</abstract>
  <note type="provenance">Submitted by Erma Thomas (thomase@iit.edu) on 2015-10-19T21:38:54Z No. of bitstreams: 1 Thesis_Signed.pdf: 671223 bytes, checksum: 9be49de719c0526e62ec3aefd63f437e (MD5)</note>
  <note type="provenance">Made available in DSpace on 2015-10-19T21:39:00Z (GMT). No. of bitstreams: 1 Thesis_Signed.pdf: 671223 bytes, checksum: 9be49de719c0526e62ec3aefd63f437e (MD5) Previous issue date: 2015-05</note>
  <note type="thesis">Ph.D in Physics, May 2015</note>
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    <dateCaptured>2015</dateCaptured>
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    <dateCreated keyDate="yes">2015-05</dateCreated>
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    <namePart>PHYS / Physics</namePart>
    <affiliation>Illinois Institute of Technology</affiliation>
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