Discovery of Single Top Quark Production

This original, outstanding thesis presents the first discovery of single top quark production and documents one of the flagship measurements of the D0 experiment, a collaboration of more than 600 particle physicists from around the world. It describes the first observation of a physical process know...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Gillberg, Dag (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2011.
Σειρά:Springer Theses
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02782nam a22005175i 4500
001 978-1-4419-7799-1
003 DE-He213
005 20151204181001.0
007 cr nn 008mamaa
008 110121s2011 xxu| s |||| 0|eng d
020 |a 9781441977991  |9 978-1-4419-7799-1 
024 7 |a 10.1007/978-1-4419-7799-1  |2 doi 
040 |d GrThAP 
050 4 |a QC770-798 
050 4 |a QC702.7.H42 
050 4 |a QC793.5.H32-793.5.H329 
072 7 |a PHM  |2 bicssc 
072 7 |a SCI051000  |2 bisacsh 
082 0 4 |a 539.7092  |2 23 
100 1 |a Gillberg, Dag.  |e author. 
245 1 0 |a Discovery of Single Top Quark Production  |h [electronic resource] /  |c by Dag Gillberg. 
264 1 |a New York, NY :  |b Springer New York,  |c 2011. 
300 |a XIV, 142 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Theses 
505 0 |a Introduction -- Theoretical Background -- Experimental Setup -- Event Reconstruction -- Analysis: Event Selection -- Analysis: Decision Trees -- Analysis: Measurements -- Summary. 
520 |a This original, outstanding thesis presents the first discovery of single top quark production and documents one of the flagship measurements of the D0 experiment, a collaboration of more than 600 particle physicists from around the world. It describes the first observation of a physical process known as “single top quark production,” which had been sought for more than 10 years before its eventual discovery in 2009. This thesis describes, in detail, an innovative approach of using Boosted Decision Trees, a machine-learning technique, to observe the tiny single top signal within an otherwise overwhelming background. The final result was published in August 2009 in Physical Review Letters, the most prestigious journal in the field of experimental particle physics. It was further made an “editor’s choice” in that publication and was highlighted in the journal Physics as one of the most interesting and significant results published in all of physics at that time. 
650 0 |a Physics. 
650 0 |a Nuclear physics. 
650 0 |a Heavy ions. 
650 0 |a Hadrons. 
650 0 |a Elementary particles (Physics). 
650 0 |a Quantum field theory. 
650 1 4 |a Physics. 
650 2 4 |a Nuclear Physics, Heavy Ions, Hadrons. 
650 2 4 |a Elementary Particles, Quantum Field Theory. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781441977984 
830 0 |a Springer Theses 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4419-7799-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-PHA 
950 |a Physics and Astronomy (Springer-11651)