Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data

Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2009.

Bibliographic Details
Main Author: Mott, Alexander (Alexander Robert)
Other Authors: George Stephans.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/51593
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author Mott, Alexander (Alexander Robert)
author2 George Stephans.
author_facet George Stephans.
Mott, Alexander (Alexander Robert)
author_sort Mott, Alexander (Alexander Robert)
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description Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2009.
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spelling mit-1721.1/515932019-04-10T22:31:15Z Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data Mott, Alexander (Alexander Robert) George Stephans. Massachusetts Institute of Technology. Dept. of Physics. Massachusetts Institute of Technology. Dept. of Physics. Physics. Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2009. In title on title-page, "[the square root of sigma nu nu]" appears as a mathematical equation; "sigma" appears superscript. Includes bibliographical references (leaf 66). In this analysis, we set an upper bound on the rate of rare events: events whose dN/dn distribution deviates more than statistically from the ensemble average dN/dn distribution for s [the square root of sigma nu nu] = 200 GeV Au+Au collisions in PHOBOS data. We carefully remove events that may exhibit non-statistical fluctuations due to other effects, such as event pileup and detector pathology. We also use very fine binning in the z and y vertex positions to eliminate fluctuations due to different event vertices. We eliminate global correlations within the dN/dn distributions by using a covariance matrix in the analysis, which is used to scale out correlations between difference pseduorapidity (n) regions. In the end we produce a value of x2 per degree of freedom (X2v ) for each event, which reflects how well the event agrees with the ensemble average. We compare this distribution with the distribution we would expect for a model using uncorrelated random variables with the same degrees of freedom of our system, and find remarkable agreement between our data and this random distribution. This allows us to conclude that most events in our data set are statistical fluctuations about the ensemble average. We are further able to determine that there is a signal of non-statistical events with X2V > 2.22, and that the rate of these events in the PHOBOS data is less than (1.97 ± 0.4(stat) O0.1(sys)) x 10-5 rare events/events. by Alexander Mott. S.B. 2010-02-09T16:48:59Z 2010-02-09T16:48:59Z 2009 2009 Thesis http://hdl.handle.net/1721.1/51593 495356584 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 70 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Physics.
Mott, Alexander (Alexander Robert)
Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data
title Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data
title_full Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data
title_fullStr Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data
title_full_unstemmed Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data
title_short Search for rare events in [the square root of sigma nu nu] = 200 GeV Au+Au PHOBOS data
title_sort search for rare events in the square root of sigma nu nu 200 gev au au phobos data
topic Physics.
url http://hdl.handle.net/1721.1/51593
work_keys_str_mv AT mottalexanderalexanderrobert searchforrareeventsinthesquarerootofsigmanunu200gevauauphobosdata