Quasi-Model-Independent Search for New High<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mi>T</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>Physics at D0

Abbott, B.; Abdesselam, A.; Abolins, M.; Abramov, V.; Acharya, B. S.; Adams, T.; Adams, M. R.; Alves, G. A.; Amos, N.; Anderson, E. W.; Baarmand, M. M.; Babintsev, V.; Babukhadia, L.; Bacon, T. C.; Baden, A.; Baldin, B.; Balm, P. W.; Banerjee, S.; Barberis, E.; Baringer, P.; Bartlett, J. F.; Bassler, U.; Bauer, D.; Bean, A.; Begel, M.; Belyaev, A.; Beri, S. B.; Bernardi, G.; Bertram, I.; Besson, A.; Beuselinck, R.; Bezzubov, V. A.; Bhat, P. C.; Bhatnagar, V.; Bhattacharjee, M.; Blazey, G.; Blessing, S.; Boehnlein, A.; Bojko, N. I.; Borcherding, F.; Brandt, A.; Breedon, R.; Briskin, G.; Brock, R.; Brooijmans, G.; Bross, A.; Buchholz, D.; Buehler, M.; Buescher, V.; Буртовой, В. С.; Butler, J. M.; Canelli, F.; Carvalho, W.; Casey, D.; Casilum, Z.; Castilla‐Valdez, H.; Chakraborty, D.; Chan, K. M.; Chekulaev, S. V.; Cho, D. K.; Choi, S.; Chopra, S.; Christenson, J. H.; Chung, M.; Claes, D. R.; Clark, A. R.; Cochran, J.; Coney, L.; Connolly, B.; Cooper, W. E.; Coppage, D.; Cummings, M. A.C.; Ćutts, D.; Davis, G. A.; Davis, K.; De, K.; Signore, K. Del; Demarteau, M.; Démina, R.; Demine, P.; Denisov, D.; Denisov, S. P.; Desai, S.; Diehl, H. T.; Diesburg, M.; Loreto, G. Di; Doulas, S.; Draper, P.; Ducros, Y.; Dudko, L.; Duensing, S.; Duflot, L.; Dugad, S.; Dyshkant, A.; Edmunds, D.; Ellison, J.; Elvira, V. D.; Engelmann, R.; Eno, S.; Eppley, G.; Ermolov, P.; Eroshin, O. V.; Estrada, J.; Evans, H.; Евдокимов, В. Н.; Fahland, T.; Fehér, S.; Fein, D.; Ferbel, T.; Filthaut, F.; Fisk, H. E.; Fisyak, Y.; Flattum, E.; Fleuret, F.; Fortner, M.; Frame, K. C.; Fuess, S.; Gallas, E. J.; Galyaev, A. N.; Gao, M.; Gavrilov, V.; Genik, R. J.; Genser, K.; Gerber, C. E.; Gershtein, Y.; Gilmartin, R.; Ginther, G.; Gómez, B.; Gómez, G.; Goncharov, P. I.; Solís, J. L. González; Gordon, H. A.; Goss, L. T.; Gounder, K.; Goussiou, A. G.; Graf, N.; Graham, Gerard J.; Grannis, P. D.; Green, J. A.; Greenlee, H.; Grinstein, S.; Groer, L.; Grünendahl, S.; Gupta, A.; Gurzhiev, S. N.; Gutiérrez, G.; Gutiérrez, P.; Hadley, N. J.; Haggerty, H.; Hagopian, S.; Hagopian, V.; Hahn, K. S.; Hall, R. E.; Hanlet, P.; Hansen, S.; Hauptman, J. M.; Hays, C. P.; Hébert, C.; Hedin, D.; Heinson, A. P.; Heintz, U.; Heuring, T.; Hirosky, R.; Hobbs, J.; Hoeneisen, B.; Hoftun, J. S.; Hou, S.; Huang, Y.; Illingworth, R.; Ito, A. S.; Jaffré, M.; Jerger, S. A.; Jesik, R.; Johns, K. A.; Johnson, Mark D.; Jonckheere, A.; Jones, M.; Jöstlein, H.; Rozas, A. Juste; Kahn, S.; Kajfasz, E.; Karmanov, D.; Karmgard, D. J.; Kim, S. K.; Klima, B.; Klopfenstein, C.; Knuteson, B.; Ko, W.; Kohli, J. M.; Kostritskiy, A. V.; Kotcher, J.; Kotwal, A.; Kozelov, A. V.; Kozlovsky, E. A.; Krane, J.; Krishnaswamy, M. R.; Krzywdziński, S.; Kubantsev, M.; Kuleshov, S.; Kulik, Y.; Kunori, S.; Кузнецов, В. Е.; Landsberg, G.; Leflat, A.; Leggett, C.; Lehner, F.; Li, J.; Li, Q. Z.; Lima, J. G.R.; Lincoln, D.; Linn, S.; Linnemann, J.; Lipton, R.; Lucotte, A.; Lueking, L.; Lundstedt, C.; Luo, C.; Maciel, A. K.A.; Madaras, R. J.; Manankov, V.; Mao, H. S.; Marshall, T.; Martin, M.; Martin, R.; Mauritz, K. M.; May, B.; Mayorov, A. A.; McCarthy, R. L.; McDonald, John; McMahon, T. J.; Melanson, H. L.; Meng, X. C.; Merkin, M.; Merritt, K. W.; Miao, C.; Miettinen, H.; Mihalcea, D.; Mishra, C. S.; Mokhov, N.; Mondal, N. K.; Montgomery, H. E.; Moore, R. W.; Mostafa, M.; Motta, H. da; Nagy, E.; Nang, F.; Narain, M.; Narasimham, V. S.; Neal, H.; Negret, J. P.; Negroni, S.; Norman, D.; Nunnemann, T.; Oesch, L.; Oguri, V.; Olivier, B.; Oshima, N.; Padley, P.; Lu, Pan; Παπαγεωργίου, Κ.; Para, A.; Parashar, N.; Partridge, R.; Parua, N.; Paterno, M.; Patwa, A.; Pawlik, B.; Perkins, J.; Peters, Michael; Peters, O.; Pétroff, P.; Piegaia, R.; Piekarz, H.; Pope, B. G.; Popkov, E.; Prosper, H.; Protopopescu, S.; Qian, J.; Quintas, P. Z.; Raja, R.; Rajagopalan, S.; Ramberg, E.; Rapidis, P. A.; Reay, N. W.; Reucroft, S.; Rha, J.; Ridel, M.; Rijssenbeek, M.; Rockwell, T.; Roco, M.; Rubinov, P.; Ruchti, R.; Rutherfoord, J. P.; Santoro, A.; Sawyer, L.; Schamberger, R. D.; Schellman, H.; Schwartzman, A.; Sen, N.; Shabalina, E.; Shivpuri, R. K.; Shpakov, D.; Shupe, M. A.; Sidwell, R. A.; Šimák, V.; Singh, H.; Singh, J. B.; Sirotenko, V.; Slattery, P.; Smith, E.; Smith, R. P.; Snihur, R.; Snow, G. R.; Snow, J.; Snyder, S.; Solomon, J.; Sorı́n, V.; Sosebee, M.; Sotnikova, N.; Soustružnı́k, K.; Souza, M.; Stanton, N. R.; Steinbrück, G.; Stephens, R. W.; Stichelbaut, F.; Stoker, D. P.; Stolin, V.; Stoyanova, D. A.; Strauss, M.; Strovink, M.; Stutte, L.; Sznajder, A.; Taylor, W.; Tentindo-Repond, S.; Thompson, J.; Toback, D.; Tripathi, S. M.; Trippe, T. G.; Turcot, A. S.; Tuts, P. M.; Gemmeren, P. van; Vaniev, V.; Kooten, R. Van; Varelas, N.; Volkov, A.; Vorobiev, A. P.; Wahl, H. D.; Wang, H.; Wang, Z. M.; Warchol, J.; Watts, G.; Wayne, M.; Weerts, H.; White, A.; White, J. T.; Whiteson, D.; Wightman, J. A.; Wijngaarden, D. A.; Willis, S.; Wimpenny, S.; Wirjawan, J. V.D.; Womersley, J.; Wood, D.; Yamada, R.; Yamin, P.; Yasuda, T.; Yip, K.; Youssef, S.; Yu, J.; Yu, Z.; Zanabria, M.; Zheng, Hua; Zhou, Z.; Zieliński, M.; Ziemińska, D.; Ziemiński, A.; Zutshi, V.; Zverev, E. G.; Zylberstejn, A.

doi:10.1103/physrevlett.86.3712

Cited by 74 publications

(85 citation statements)

References 16 publications

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“…The Sleuth algorithm used by CDF in Tevatron Run II is essentially that developed by DØ in Tevatron Run I [33,34,35], and subsequently improved by H1 in HERA Run I [36], with small modifications.…”

Section: Sleuthmentioning

confidence: 99%

Model-independent and quasi-model-independent search for new physics at CDF

Aaltonen¹,

Abulencia²,

Adelman³

et al. 2008

Phys. Rev. D

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106

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Data collected in Run II of the Fermilab Tevatron are searched for indications of new electroweak scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for discrepancies with respect to the standard model prediction. A model-independent approach (Vista) considers the gross features of the data, and is sensitive to new large cross section physics. A quasi-model-independent approach (Sleuth) searches for a significant excess of events with large summed transverse momentum, and is particularly sensitive to new electroweak scale physics that appears predominantly in one final state. This global search for new physics in over three hundred exclusive final states in 927 pb −1 of pp collisions at √ s = 1.96 TeV reveals no such significant indication of physics beyond the standard model. * With visitors from

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Section: Sleuthmentioning

confidence: 99%

Model-independent and quasi-model-independent search for new physics at CDF

Aaltonen¹,

Abulencia²,

Adelman³

et al. 2008

Phys. Rev. D

Self Cite

106

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show abstract

“…Many data samples and backgrounds have been defined in the context of SLEUTH [1], a quasi-model-independent search strategy for new high p T physics that has been applied to a number of exclusive final states [2,3] in the data collected by the D0 detector [4] during 1992-1996 in Run I of the Fermilab Tevatron. In this Letter, we describe a tool (QUAERO) that automatically optimizes an analysis for a particular signature, using these samples and standard model backgrounds.…”

mentioning

confidence: 99%

Search for New Physics Using QUAERO: A General Interface to D0 Event Data

Abazov¹,

Abbott²,

Abdesselam³

et al. 2001

Phys. Rev. Lett.

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We describe quaero, a method that i) enables the automatic optimization of searches for physics beyond the standard model, and ii) provides a mechanism for making high energy collider data generally available. We apply quaero to searches for standard model W W , ZZ, and t t production, and to searches for these objects produced through a new heavy resonance. Through this interface, we make three data sets collected by the DØ experiment at √ s = 1.8 TeV publicly available.

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“…MadEvent [1] is turned into a virtual collider, and the standard model contribution from all processes (with intelligent prescaling) are generated simultaneously, with systematic computation of millions of Feynman diagrams. 4. Simulate detector response.…”

Section: Vistamentioning

confidence: 99%

“…Sleuth's evaluation of over thirty exclusive final states at DØ in Tevatron Run I yielded no evidence of new physics [4,5,6,7]. H1's use of a similar algorithm [10] on data collected in HERA Run I highlights a potentially interesting signal in the µjν final state, withP = 0.04.…”

mentioning

confidence: 99%

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Systematic analysis of HEP collider data

Knuteson

2004

Nuclear Instruments and Methods in Physics Research Section A:

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These proceedings outline steps toward a systematic analysis of frontier energy collider data: specifically, those data collected at Tevatron Runs I and II, LEP Run II, HERA Runs I and II, and the future LHC. Algorithms designed to understand the gross features of the data (Vista), to systematically and model-independently search for new physics at the electroweak scale (Sleuth), to automate tests of specific hypotheses against those data (Quaero), to turn an existing full detector simulation into a fast simulation (TurboSim), and to infer the physics underlying any hint observed in the data (Bard) are reviewed. A somewhat non-conventional viewpoint is adopted throughout.

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Quasi-Model-Independent Search for New HighpTPhysics at D0

Cited by 74 publications

References 16 publications

Model-independent and quasi-model-independent search for new physics at CDF

Model-independent and quasi-model-independent search for new physics at CDF

Search for New Physics Using QUAERO: A General Interface to D0 Event Data

Systematic analysis of HEP collider data

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