Underlying event in hard interactions at the Fermilab Tevatron<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mover accent="true"><mml:mi>p</mml:mi><mml:mo stretchy="true">¯</mml:mo></mml:mover><mml:mi>p</mml:mi></mml:math>collider

Acosta, D.; Affolder, A. A.; Albrow, M.; Ambrose, D.; Amidei, D.; Anikeev, K.; Antos̆, J.; Apollinari, G.; Arisawa, T.; Artikov, A.; Ashmanskas, W.; Azfar, F.; Azzi, P.; Bacchetta, N.; Bachacou, H.; Badgett, W.; Barbaro‐Galtieri, A.; Barnes, V. E.; Barnett, B. A.; Baroiant, S.; Barone, M.; Bauer, G.; Bedeschi, F.; Behari, S.; Belforte, S.; Bell, W. H.; Bellettini, G.; Bellinger, J.; Benjamin, D.; Beretvas, A.; Bhatti, A.; Binkley, M.; Bisello, D.; Bishai, M.; Blair, R. E.; Blocker, C.; Bloom, K.; Blumenfeld, B.; Bocci, A.; Bodek, A.; Bolla, G.; Bolshov, A.; Bortoletto, D.; Boudreau, J.; Bromberg, C.; Brubaker, E.; Budagov, J.; Budd, H. S.; Burkett, K.; Busetto, G.; Byrum, K. L.; Cabrera, S.; Campbell, M.; Carithers, W.; Carlsmith, D.; Castro, A.; Cauz, D.; Cerri, A.; Cerrito, L.; Chapman, J.; Chen, C.; Chen, Y. C.; Chertok, M.; Chiarelli, G.; Chlachidze, G.; Chlebana, F.; Chu, M. L.; Chung, J. Y.; Chung, W. H.; Chung, Y. S.; Ciobanu, C. 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R.; Halkiadakis, E.; Handler, R.; Happacher, F.; Hara, K.; Harris, R. M.; Hartmann, F.; Hatakeyama, K.; Hauser, J.; Heinrich, J.; Hennecke, M.; Herndon, M.; Hill, C. S.; Höcker, A.; Hoffman, K. D.; Hou, S.; Huffman, B. T.; Hughes, R. E.; Huston, J.; İşsever, Ç.; Incandela, J.; Introzzi, G.; Iori, M.; Ivanov, A.; Iwata, Y.; Iyutin, B.; James, E.; Jones, M.; Kamon, T.; Kang, J. S.; Unel, M. Karagoz; Kartal, S.; Kasha, H.; Kato, Y.; Kennedy, R. D.; Kephart, R.; Kilminster, B.; Kim, D. H.; Kim, H. S.; Kim, M. J.; Kim, S. B.; Kim, S. H.; Kim, T. H.; Kim, Y. K.; Kirby, M.; Kirsch, L.; Klimenko, S.; Koehn, P.; Kondo, K.; Königsberg, J.; Korn, A.; Korytov, A.; Kroll, J.; Kruse, M. C.; Krutelyov, V.; Kuhlmann, S. E.; Кузнецова, Н.; Laasanen, A. T.; Lami, S.; Lammel, S.; Lancaster, J.; Lannon, K.; Lancaster, M.; Lander, R.; Lath, A.; Latino, G.; LeCompte, T.; Yao, Le; Lee, J.; Lee, S. W.; Leonardo, N.; Leone, S.; Lewis, J. D.; Li, K.; Lin, C. S.; Lindgren, M.; Liss, T. M.; Liu, T.; Litvintsev, D. O.; Lockyer, N. S.; Loginov, A.; Loreti, M.; Lucchesi, D.; Lukens, P.; Lyons, L.; Lys, J.; Madrak, R.; Maeshima, K.; Maksimović, P.; Malferrari, L.; Mangano, M.; Manca, G.; Mariotti, M.; Martin, M.; Martín, A.; Martin, V. J.; Martı́nez, M.; Mazzanti, P.; McFarland, K. S.; McIntyre, P.; Menguzzato, M.; Menzione, A.; Merkel, P.; Mesropian, C.; Meyer, A.; Miao, T.; Miller, R.; Miller, J. S.; Miscetti, S.; Mitselmakher, G.; Moggi, N.; Moore, R. W.; Moulik, T.; Mulhearn, M.; Mukherjee, A.; Müller, Th.; Munar, A.; Murat, P.; Nachtman, J.; Nahn, S.; Nakano, I.; Napora, R.; Niell, F.; Nelson, Charles A.; Nelson, T. K.; Neu, C.; Neubauer, M. S.; Newman-Holmes, C.; Nigmanov, T.; Nodulman, L.; Oh, S. H.; Oh, Y. D.; Ohsugi, T.; Okusawa, T.; Orejudos, W.; Pagliarone, C.; Palmonari, F.; Paoletti, R.; Papadimitriou, V.; Patrick, J.; Pauletta, G.; Paulini, M.; Pauly, T.; Paus, C.; Pellett, D.; Penzo, A.; Phillips, T. 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doi:10.1103/physrevd.70.072002

Cited by 94 publications

(38 citation statements)

References 35 publications

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“…Experimentally, one can identify the products of the hard scattering, usually the leading jet, and study the region azimuthally perpendicular to it as a function of the jet energy. Results of such an analysis have been published by the CDF [2][3][4][5] and STAR [6] collaborations for pp collisions at √ s = 1.8 and 0.2 TeV, respectively. Alternatively, the energy scale is given by the leading charged-particle transverse momentum, circumventing uncertainties related to the jet reconstruction procedure at low p T .…”

Section: Jhep07(2012)116mentioning

confidence: 99%

Underlying Event measurements in pp collisions at $ \sqrt {s} = 0.9 $ and 7 TeV with the ALICE experiment at the LHC

Abelev¹,

Quintana²,

Adamová³

et al. 2012

J. High Energ. Phys.

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We present measurements of Underlying Event observables in pp collisions at √ s = 0.9 and 7 TeV. The analysis is performed as a function of the highest charged-particle transverse momentum p T,LT in the event. Different regions are defined with respect to the azimuthal direction of the leading (highest transverse momentum) track: Toward, Transverse and Away. The Toward and Away regions collect the fragmentation products of the hardest partonic interaction. The Transverse region is expected to be most sensitive to the Underlying Event activity. The study is performed with charged particles above three different p T thresholds: 0.15, 0.5 and 1.0 GeV/c. In the Transverse region we observe an increase in the multiplicity of a factor 2-3 between the lower and higher collision energies, depending on the track p T threshold considered. Data are compared to Pythia 6.4, Pythia 8.1 and Phojet. On average, all models considered underestimate the multiplicity and summed p T in the Transverse region by about 10-30%.

show abstract

Section: Jhep07(2012)116mentioning

confidence: 99%

Underlying Event measurements in pp collisions at $ \sqrt {s} = 0.9 $ and 7 TeV with the ALICE experiment at the LHC

Abelev¹,

Quintana²,

Adamová³

et al. 2012

J. High Energ. Phys.

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show abstract

“…It is a flexible generator with a large number of built in processes and has been tuned to agree with the Tevatron data [49,50]. In particular, most of the generation of supersymmetric processes is done with HERWIG using the ISAWIG package [23][24][25] with the particle spectra and decay modes generated by ISAJET.…”

Section: Herwigmentioning

confidence: 99%

The ATLAS Simulation Infrastructure

Aad¹,

Abbott²,

Abdallah³

et al. 2011

The Performance of the ATLAS Detector

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289

618

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The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for largescale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the AT-LAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

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“…The underlying event at CDF is described in detail in Ref. [48]. The energy deposits of the underlying event overlap with the energy deposits of the tt interactions.…”

Section: Chapter 5 Primary Vertex Studymentioning

confidence: 99%

High-luminosity primary vertex selection in top-quark studies using the Collider Detector at Fermilab

Buzatu¹,

McGill²

2006

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Underlying event in hard interactions at the Fermilab Tevatronp¯pcollider

Abstract: For comparison of inclusive jet cross sections measured at hadron-hadron colliders to next-toleading order (NLO) parton-level calculations, the energy deposited in the jet cone by spectator parton interactions must first be subtracted. The assumption made at the Tevatron is that the

Cited by 94 publications

References 35 publications

Underlying Event measurements in pp collisions at $ \sqrt {s} = 0.9 $ and 7 TeV with the ALICE experiment at the LHC

Underlying Event measurements in pp collisions at $ \sqrt {s} = 0.9 $ and 7 TeV with the ALICE experiment at the LHC

The ATLAS Simulation Infrastructure

High-luminosity primary vertex selection in top-quark studies using the Collider Detector at Fermilab

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