000056178 001__ 56178
000056178 005__ 20140130005416.0
000056178 037__ $$9arXiv$$aarXiv:1110.3771$$chep-ex
000056178 035__ $$9arXiv$$aoai:arXiv.org:1110.3771$$zoai:arXiv.org:1110.3771
000056178 037__ $$aFERMILAB-PUB-11-547-E
000056178 035__ $$9SPIRESTeX$$zAbazov:2011vi
000056178 100__ $$aAbazov, Victor Mukhamedovich$$iINSPIRE-00039200$$uDubna, JINR
000056178 245__ $$aMeasurement of the inclusive jet cross section in $p \bar {p}$ collisions at $\sqrt{s}=1.96$ TeV
000056178 246__ $$9arXiv$$aMeasurement of the inclusive jet cross section in p pbar collisions at sqrt(s)=1.96 TeV
000056178 269__ $$c2011-10
000056178 500__ $$a* Temporary entry *
000056178 520__ $$9arXiv$$aWe present a measurement of the inclusive jet cross section using the Run II cone algorithm and data collected by the D0 experiment in p pbar collisions at a center-of-mass energy sqrt(s)=1.96 TeV, corresponding to an integrated luminosity of 0.70 fb^(-1). The jet energy calibration and the method used to extract the inclusive jet cross section are described. We discuss the main uncertainties, which are dominated by the jet energy scale uncertainty. The results cover jet transverse momenta from 50 GeV to 600 GeV with jet rapidities in the range -2.4 to 2.4 and are compared to predictions using recent proton parton distribution functions. Studies of correlations between systematic uncertainties in transverse momentum and rapidity are presented.
000056178 65017 $$2INSPIRE$$aExperiment-HEP
000056178 6507_ $$2PACS$$a13.87.Ce
000056178 6507_ $$2PACS$$a12.38.Qk
000056178 693__ $$eFNAL-E-0823
000056178 695__ $$2INSPIRE$$aparton: distribution function
000056178 695__ $$2INSPIRE$$ajet: transverse momentum
000056178 695__ $$2INSPIRE$$ajet: rapidity
000056178 695__ $$2INSPIRE$$ajet: energy
000056178 695__ $$2INSPIRE$$aenergy: calibration
000056178 695__ $$2INSPIRE$$acorrelation
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000056178 700__ $$aAcharya, Bannanje Sripath$$iINSPIRE-00000955$$uTata Inst.
000056178 700__ $$aAdams, Mark Raymond$$iINSPIRE-00300252$$uIllinois U., Chicago
000056178 700__ $$aAdams, Todd$$iINSPIRE-00060942$$uFlorida State U.
000056178 700__ $$aAlexeev, Guennadi D.$$iINSPIRE-00061533$$uDubna, JINR
000056178 700__ $$aAlkhazov, Georgiy D.$$iINSPIRE-00061628$$uSt. Petersburg, INP
000056178 700__ $$aAlton, Andrew K.$$iINSPIRE-00061762$$uAugustana Coll., Sioux Falls$$uMichigan U.
000056178 700__ $$aAlverson, George O.$$iINSPIRE-00061808$$uNortheastern U.
000056178 700__ $$aAlves, Gilvan Augusto$$iINSPIRE-00061810$$uRio de Janeiro, CBPF
000056178 700__ $$aAoki, Masato$$iINSPIRE-00001575$$uFermilab
000056178 700__ $$aAskew, Andrew Warren$$iINSPIRE-00053983$$uFlorida State U.
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000056178 700__ $$aAtkins, Scott$$iINSPIRE-00002192$$uLouisiana Tech. U.
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000056178 700__ $$aBanerjee, Sunanda$$iINSPIRE-00064259$$uTata Inst.
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000056178 700__ $$aBarreto, Jorge L.$$iINSPIRE-00064760$$uRio de Janeiro State U.
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000056178 700__ $$aBegalli, Marcia$$iINSPIRE-00065602$$uRio de Janeiro State U.
000056178 700__ $$aBelanger-Champagne, Camille$$iINSPIRE-00037478$$uUppsala U.
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000056178 700__ $$aBernardi, Gregorio$$iINSPIRE-00066505$$uParis U., VI-VII
000056178 700__ $$aBernhard, Ralf Patrick$$iINSPIRE-00053972$$uFreiburg U.
000056178 700__ $$aBertram, Iain A.$$iINSPIRE-00066653$$uLancaster U.
000056178 700__ $$aBesancon, Marc$$iINSPIRE-00066690$$uDAPNIA, Saclay
000056178 700__ $$aBeuselinck, Raymond$$iINSPIRE-00066717$$uImperial Coll., London
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000056178 700__ $$aBlessing, Susan K.$$iINSPIRE-00067450$$uFlorida State U.
000056178 700__ $$aBloom, Kenneth A.$$iINSPIRE-00067576$$uNebraska U.
000056178 700__ $$aBoehnlein, Amber S.$$iINSPIRE-00067761$$uFermilab
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000056178 700__ $$aBrandt, Andrew$$iINSPIRE-00300274$$uTexas U., Arlington
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000056178 700__ $$aBrooijmans, Gustaaf H.$$iINSPIRE-00069444$$uColumbia U.
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000056178 700__ $$aBrown, Jonathan$$iINSPIRE-00301112$$uParis U., VI-VII
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000056178 700__ $$aBurdin, Sergey$$iINSPIRE-00022855$$uLiverpool U.$$uLancaster U.
000056178 700__ $$aBurnett, Thompson H.$$iINSPIRE-00070181$$uWashington U., Seattle
000056178 700__ $$aBuszello, Claus Peter$$iINSPIRE-00044211$$uUppsala U.
000056178 700__ $$aCalpas, Betty Constante$$iINSPIRE-00011751$$uMarseille, CPPM
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000056178 700__ $$aChakraborty, Dhiman$$iINSPIRE-00071985$$uNorthern Illinois U.
000056178 700__ $$aChan, Kwok Ming Leo$$iINSPIRE-00032189$$uNotre Dame U.
000056178 700__ $$aChandra, Avdhesh$$iINSPIRE-00039123$$uRice U.
000056178 700__ $$aChapon, Emilien$$iINSPIRE-00015039$$uDAPNIA, Saclay
000056178 700__ $$aChen, Guo$$iINSPIRE-00176968$$uKansas U.
000056178 700__ $$aChevalier-Thery, Solene$$iINSPIRE-00012380$$uDAPNIA, Saclay
000056178 700__ $$aCho, DooKee$$iINSPIRE-00073093$$uBrown U.
000056178 700__ $$aCho, Sung-Woong$$iINSPIRE-00302582$$uKorea U.
000056178 700__ $$aChoi, Suyong$$iINSPIRE-00050694$$uKorea U.
000056178 700__ $$aChoudhary, Brajesh C.$$iINSPIRE-00073233$$uDelhi U.
000056178 700__ $$aCihangir, Selcuk$$iINSPIRE-00073533$$uFermilab
000056178 700__ $$aClaes, Daniel R.$$iINSPIRE-00073648$$uNebraska U.
000056178 700__ $$aClutter, Justace Randall$$iINSPIRE-00046636$$uKansas U.
000056178 700__ $$aCooke, Michael P.$$iINSPIRE-00003477$$uFermilab
000056178 700__ $$aCooper, William Edward$$iINSPIRE-00074406$$uFermilab
000056178 700__ $$aCorcoran, Marjorie D.$$iINSPIRE-00074488$$uRice U.
000056178 700__ $$aCouderc, Fabrice$$iINSPIRE-00043207$$uDAPNIA, Saclay
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000056178 700__ $$aCutts, David$$iINSPIRE-00075324$$uBrown U.
000056178 700__ $$aDas, Amitabha$$iINSPIRE-00075742$$uArizona U.
000056178 700__ $$aDavies, Gavin John$$iINSPIRE-00075967$$uImperial Coll., London
000056178 700__ $$aDe, Kaushik$$iINSPIRE-00300320$$uTexas U., Arlington
000056178 700__ $$ade Jong, Sijbrand Jan$$iINSPIRE-00093890$$uNijmegen U.
000056178 700__ $$aDe La Cruz-Burelo, Eduard$$iINSPIRE-00039100$$uCINVESTAV, IPN
000056178 700__ $$aDeliot, Frederic$$iINSPIRE-00076511$$uDAPNIA, Saclay
000056178 700__ $$aDemina, Regina$$iINSPIRE-00076615$$uRochester U.
000056178 700__ $$aDenisov, Dmitri S.$$iINSPIRE-00076696$$uFermilab
000056178 700__ $$aDenisov, Sergei P.$$iINSPIRE-00076710$$uSerpukhov, IHEP
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000056178 700__ $$aDeVaughan, Kayle Otis$$iINSPIRE-00008898$$uNebraska U.
000056178 700__ $$aDiehl, H.Thomas$$iINSPIRE-00077147$$uFermilab
000056178 700__ $$aDiesburg, Michael$$iINSPIRE-00077172$$uFermilab
000056178 700__ $$aDing, Pengfei$$iINSPIRE-00014205$$uManchester U.
000056178 700__ $$aDominguez, D.Aaron M.$$iINSPIRE-00077677$$uNebraska U.
000056178 700__ $$aDorland, Tyler McMillan$$iINSPIRE-00021317$$uWashington U., Seattle
000056178 700__ $$aDubey, Abhinav Kumar$$iINSPIRE-00300331$$uDelhi U.
000056178 700__ $$aDudko, Lev V.$$iINSPIRE-00078338$$uMoscow State U.
000056178 700__ $$aDuggan, Daniel$$iINSPIRE-00025022$$uRutgers U., Piscataway
000056178 700__ $$aDuperrin, Arnaud$$iINSPIRE-00078558$$uMarseille, CPPM
000056178 700__ $$aDutt, Suneel$$iINSPIRE-00018823$$uPanjab U.
000056178 700__ $$aDyshkant, Alexandre$$iINSPIRE-00078744$$uNorthern Illinois U.
000056178 700__ $$aEads, Michael T.$$iINSPIRE-00051750$$uNebraska U.
000056178 700__ $$aEdmunds, Daniel L.$$iINSPIRE-00004510$$uMichigan State U.
000056178 700__ $$aEllison, John A.$$iINSPIRE-00079386$$uUC, Riverside
000056178 700__ $$aElvira, V.Daniel$$iINSPIRE-00079440$$uFermilab
000056178 700__ $$aEnari, Yuji$$iINSPIRE-00079531$$uParis U., VI-VII
000056178 700__ $$aEvans, Harold G.$$iINSPIRE-00080060$$uIndiana U.
000056178 700__ $$aEvdokimov, Anatoly V.$$iINSPIRE-00021972$$uBrookhaven
000056178 700__ $$aEvdokimov, Valeri N.$$iINSPIRE-00300342$$uSerpukhov, IHEP
000056178 700__ $$aFacini, Gabriel$$iINSPIRE-00019223$$uNortheastern U.
000056178 700__ $$aFerbel, Thomas$$iINSPIRE-00080790$$uRochester U.
000056178 700__ $$aFiedler, Frank$$iINSPIRE-00081065$$uMainz U., Inst. Kernphys.
000056178 700__ $$aFilthaut, Frank$$iINSPIRE-00081209$$uNijmegen U.
000056178 700__ $$aFisher, Wade Cameron$$iINSPIRE-00052479$$uMichigan State U.
000056178 700__ $$aFisk, H.Eugene$$iINSPIRE-00081503$$uFermilab
000056178 700__ $$aFortner, Michael R.$$iINSPIRE-00300353$$uNorthern Illinois U.
000056178 700__ $$aFox, Harald$$iINSPIRE-00082068$$uLancaster U.
000056178 700__ $$aFuess, Stuart C.$$iINSPIRE-00082800$$uFermilab
000056178 700__ $$aGarcia-Bellido, Aran$$iINSPIRE-00058621$$uRochester U.
000056178 700__ $$aGarcia-Guerra, G.Alejandro$$iINSPIRE-00009793$$uCINVESTAV, IPN
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000056178 700__ $$aGeng, Weigang$$iINSPIRE-00017095$$uMarseille, CPPM$$uMichigan State U.
000056178 700__ $$aGerbaudo, Davide$$qNSPIRE-00047907$$uPrinceton U.
000056178 700__ $$aGerber, Cecilia Elena$$iINSPIRE-00084394$$uIllinois U., Chicago
000056178 700__ $$aGershtein, Yuri S.$$iINSPIRE-00058255$$uRutgers U., Piscataway
000056178 700__ $$aGillberg, Dag I.$$iINSPIRE-00006756$$uSimon Fraser U.
000056178 700__ $$aGinther, George E.Jr.$$iINSPIRE-00084917$$uRochester U.$$uFermilab
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000056178 700__ $$aGoussiou, Anna$$iINSPIRE-00086179$$uWashington U., Seattle
000056178 700__ $$aGrannis, Paul D.$$iINSPIRE-00086404$$uSUNY, Stony Brook
000056178 700__ $$aGreder, Sebastien$$iINSPIRE-00300397$$uStrasbourg, ICS
000056178 700__ $$aGreenlee, Herbert B.$$iINSPIRE-00086638$$uFermilab
000056178 700__ $$aGreenwood, Zeno Dixon$$iINSPIRE-00086666$$uLouisiana Tech. U.
000056178 700__ $$aGregores, Eduardo M.$$iINSPIRE-00086681$$uABC Federal U.
000056178 700__ $$aGrenier, Gerald Jean$$iINSPIRE-00086736$$uLyon, IPN
000056178 700__ $$aGris, Phillipe Luc$$iINSPIRE-00086824$$uClermont-Ferrand U.
000056178 700__ $$aGrivaz, Jean-Francois$$iINSPIRE-00086861$$uOrsay, LAL
000056178 700__ $$aGrohsjean, Alexander$$iINSPIRE-00018559$$uDAPNIA, Saclay
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000056178 700__ $$aGutierrez, Gaston R.$$iINSPIRE-00087511$$uFermilab
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000056178 700__ $$aHaas, Andrew C.$$iINSPIRE-00053405$$uSLAC$$uColumbia U.
000056178 700__ $$aHagopian, Sharon L.$$iINSPIRE-00087879$$uFlorida State U.
000056178 700__ $$aHaley, Joseph Glenn Biddle$$iINSPIRE-00006781$$uNortheastern U.
000056178 700__ $$aHan, Liang$$iINSPIRE-00037384$$uHefei, CUST
000056178 700__ $$aHarder, Kristian$$iINSPIRE-00088612$$uManchester U.
000056178 700__ $$aHarel, Amnon$$iINSPIRE-00048598$$uRochester U.
000056178 700__ $$aHauptman, John Michael$$iINSPIRE-00089150$$uIowa State U.
000056178 700__ $$aHays, Jonathan M.$$iINSPIRE-00005408$$uImperial Coll., London
000056178 700__ $$aHead, Tim$$iINSPIRE-00002216$$uManchester U.
000056178 700__ $$aHebbeker, Thomas$$iINSPIRE-00089340$$uAachen, Tech. Hochsch.
000056178 700__ $$aHedin, David R.$$iINSPIRE-00089387$$uNorthern Illinois U.
000056178 700__ $$aHegab, Hatim$$iINSPIRE-00032151$$uOklahoma State U.
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000056178 700__ $$aHeinson, Ann$$iINSPIRE-00089535$$uUC, Riverside
000056178 700__ $$aHeintz, Ulrich$$iINSPIRE-00089547$$uBrown U.
000056178 700__ $$aHensel, Carsten$$iINSPIRE-00046890$$uGottingen U., Zweites Phys. Inst.
000056178 700__ $$aHeredia-De La Cruz, Ivan$$iINSPIRE-00014576$$uCINVESTAV, IPN
000056178 700__ $$aHerner, Kenneth Richard$$iINSPIRE-00006570$$uMichigan U.
000056178 700__ $$aHesketh, Gavin G.$$iINSPIRE-00054306$$uManchester U.
000056178 700__ $$aHildreth, Michael D.$$iINSPIRE-00090190$$uNotre Dame U.
000056178 700__ $$aHirosky, Robert James$$iINSPIRE-00090388$$uVirginia U.
000056178 700__ $$aHoang, Trang$$iINSPIRE-00180370$$uFlorida State U.
000056178 700__ $$aHobbs, John D.$$iINSPIRE-00090491$$uSUNY, Stony Brook
000056178 700__ $$aHoeneisen, Bruce$$iINSPIRE-00090561$$uSan Francisco de Quito U.
000056178 700__ $$aHohlfeld, Mark$$iINSPIRE-00039005$$uMainz U., Inst. Kernphys.
000056178 700__ $$aHubacek, Zdenek$$iINSPIRE-00032940$$uDAPNIA, Saclay
000056178 700__ $$aHynek, Vlastislav$$iINSPIRE-00038993$$uPrague, Tech. U.
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000056178 700__ $$aIlchenko, Yuriy$$iINSPIRE-00180687$$uSouthern Methodist U.
000056178 700__ $$aIllingworth, Robert A.$$iINSPIRE-00052545$$uFermilab
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000056178 700__ $$aJabeen, Shabnam$$iINSPIRE-00038975$$uBrown U.
000056178 700__ $$aJaffre, Michel J.$$iINSPIRE-00092923$$uOrsay, LAL
000056178 700__ $$aJamin, David$$iINSPIRE-00019160$$uMarseille, CPPM
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000056178 700__ $$aJesik, Richard L.$$iINSPIRE-00093383$$uImperial Coll., London
000056178 700__ $$aJohns, Kenneth Arthur$$iINSPIRE-00093591$$uArizona U.
000056178 700__ $$aJohnson, Marvin E.$$iINSPIRE-00093653$$uFermilab
000056178 700__ $$aJonckheere, Alan M.$$iINSPIRE-00093762$$uFermilab
000056178 700__ $$aJonsson, Per Martin$$iINSPIRE-00093909$$uImperial Coll., London
000056178 700__ $$aJoshi, Jyoti$$iINSPIRE-00019290$$uPanjab U.
000056178 700__ $$aJung, Andreas Werner$$iINSPIRE-00183962$$uFermilab
000056178 700__ $$aJuste, Aurelio$$iINSPIRE-00094149$$uBarcelona, IFAE$$uICREA, Barcelona
000056178 700__ $$aKaadze, ketino$$iINSPIRE-00009807$$uKansas State U.
000056178 700__ $$aKajfasz, Eric$$iINSPIRE-00094346$$uMarseille, CPPM
000056178 700__ $$aKarmanov, Dmitriy Y.$$iINSPIRE-00000967$$uMoscow State U.
000056178 700__ $$aKasper, Penelope A.$$iINSPIRE-00095080$$uFermilab
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000056178 700__ $$aKehoe, Robert Leo Patrick III$$iINSPIRE-00095456$$uSouthern Methodist U.
000056178 700__ $$aKermiche, Smain$$iINSPIRE-00050283$$uMarseille, CPPM
000056178 700__ $$aKhalatyan, Norayr$$iINSPIRE-00032939$$uFermilab
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000056178 700__ $$aKharchilava, Avto$$iINSPIRE-00095916$$uSUNY, Buffalo
000056178 700__ $$aKharzheev, Yuri N.$$iINSPIRE-00000177$$uDubna, JINR
000056178 700__ $$aKohli, Jatinder M.$$iINSPIRE-00003839$$uPanjab U.
000056178 700__ $$aKozelov, Alexander V.$$iINSPIRE-00038927$$uSerpukhov, IHEP
000056178 700__ $$aKraus, James Alexander$$iINSPIRE-00025588$$uMichigan State U.
000056178 700__ $$aKulikov, Segey A.$$iINSPIRE-00009409$$uSerpukhov, IHEP
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000056178 700__ $$aKupco, Alexander$$iINSPIRE-00099163$$uPrague, Inst. Phys.
000056178 700__ $$aKurca, Tibor$$iINSPIRE-00099209$$uLyon, IPN
000056178 700__ $$aKuzmin, Valentin Alexandrovich$$iINSPIRE-00046985$$uMoscow State U.
000056178 700__ $$aKvita, Jiri$$iINSPIRE-00038915$$uCharles U.
000056178 700__ $$aLammers, Sabine Wedam$$iINSPIRE-00051670$$uIndiana U.
000056178 700__ $$aLandsberg, Greg L.$$iINSPIRE-00099870$$uBrown U.
000056178 700__ $$aLebrun, Patrice$$iINSPIRE-00100449$$uLyon, IPN
000056178 700__ $$aLee, Hyun-Su$$iINSPIRE-00302606$$uKorea U.
000056178 700__ $$aLee, Sehwook$$iINSPIRE-00255287$$uIowa State U.
000056178 700__ $$aLee, William M.$$iINSPIRE-00100793$$uFermilab
000056178 700__ $$aLellouch, Jeremie$$iINSPIRE-00024906$$uParis U., VI-VII
000056178 700__ $$aLi, Liang$$iINSPIRE-00300470$$uUC, Riverside
000056178 700__ $$aLi, Qi-Zhong$$iINSPIRE-00101541$$uFermilab
000056178 700__ $$aLietti, Sergio Morais$$iINSPIRE-00101791$$uSao Paulo, IFT
000056178 700__ $$aLim, Jeong Ku$$iINSPIRE-00011894$$uKorea U.
000056178 700__ $$aLincoln, Donald W.$$iINSPIRE-00101920$$uFermilab
000056178 700__ $$aLinnemann, James Thomas$$iINSPIRE-00300481$$uMichigan State U.
000056178 700__ $$aLipaev, Vladimir V.$$iINSPIRE-00038891$$uSerpukhov, IHEP
000056178 700__ $$aLipton, Ronald J.$$iINSPIRE-00102104$$uFermilab
000056178 700__ $$aLiu, Yanwen$$iINSPIRE-00034400$$uHefei, CUST
000056178 700__ $$aLobodenko, Alexandre$$iINSPIRE-00038878$$uSt. Petersburg, INP
000056178 700__ $$aLokajicek, Milos$$iINSPIRE-00102470$$uPrague, Inst. Phys.
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000056178 700__ $$aLubatti, Henry J.$$iINSPIRE-00102893$$uWashington U., Seattle
000056178 700__ $$aLuna-Garcia, Rene$$iINSPIRE-00017790$$uCIC, IPN$$uCINVESTAV, IPN
000056178 700__ $$aLyon, Adam Leonard$$iINSPIRE-00103329$$uFermilab
000056178 700__ $$aMaciel, Arthur K.A.$$iINSPIRE-00103569$$uRio de Janeiro, CBPF
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000056178 700__ $$aMadar, Romain$$iINSPIRE-00301124$$uDAPNIA, Saclay
000056178 700__ $$aMagana-Villalba, Ricardo$$iINSPIRE-00014618$$uCINVESTAV, IPN
000056178 700__ $$aMakovec, Nikola Michel$$iINSPIRE-00006510$$uOrsay, LAL
000056178 700__ $$aMalik, Sudhir$$iINSPIRE-00005081$$uNebraska U.
000056178 700__ $$aMalyshev, Vladimir L.$$iINSPIRE-00300560$$uDubna, JINR
000056178 700__ $$aMaravin, Yurii Y.$$iINSPIRE-00104588$$uKansas State U.
000056178 700__ $$aMartinez-Ortega, Jorge$$iINSPIRE-00014832$$uCINVESTAV, IPN
000056178 700__ $$aMcCarthy, Robert L.$$iINSPIRE-00106112$$uSUNY, Stony Brook
000056178 700__ $$aMcgivern, Carrie Lynne$$iINSPIRE-00012446$$uKansas U.
000056178 700__ $$aMeijer, Melvin M.$$iINSPIRE-00300571$$uNijmegen U.
000056178 700__ $$aMelnitchouk, Alexander S.$$iINSPIRE-00054552$$uMississippi U.
000056178 700__ $$aMenezes, Diego D.$$iINSPIRE-00011310$$uNorthern Illinois U.
000056178 700__ $$aMercadante, Pedro Galli$$iINSPIRE-00106948$$uABC Federal U.
000056178 700__ $$aMerkin, Mikhail M.$$iINSPIRE-00055966$$uMoscow State U.
000056178 700__ $$aMeyer, Arnd$$iINSPIRE-00300593$$uAachen, Tech. Hochsch.
000056178 700__ $$aMeyer, Jorg Manfred$$iINSPIRE-00107296$$uGottingen U., Zweites Phys. Inst.
000056178 700__ $$aMiconi, Florian$$iINSPIRE-00180384$$uStrasbourg, ICS
000056178 700__ $$aMondal, Naba K.$$iINSPIRE-00300508$$uTata Inst.
000056178 700__ $$aMuanza, Guy Steve$$iINSPIRE-00109389$$uMarseille, CPPM
000056178 700__ $$aMulhearn, Michael James$$iINSPIRE-00052395$$uVirginia U.
000056178 700__ $$aNagy, Elemer$$iINSPIRE-00110088$$uMarseille, CPPM
000056178 700__ $$aNaimuddin, Md (Nayeem)$$iINSPIRE-00038820$$uDelhi U.
000056178 700__ $$aNarain, Meenakshi$$iINSPIRE-00110455$$uBrown U.
000056178 700__ $$aNayyar, Ruchika$$iINSPIRE-00301151$$uDelhi U.
000056178 700__ $$aNeal, Homer A.Sr.$$iINSPIRE-00300519$$uMichigan U.
000056178 700__ $$aNegret, Juan Pablo$$iINSPIRE-00110764$$uLos Andes U.
000056178 700__ $$aNeustroev, Petr V.$$iINSPIRE-00021941$$uSt. Petersburg, INP
000056178 700__ $$aNovaes, Sergio F.$$iINSPIRE-00112042$$uSao Paulo, IFT
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000056178 700__ $$aObrant, Gennady$$iINSPIRE-00038792$$uSt. Petersburg, INP
000056178 700__ $$aOrduna, Jose de Jesus Hernandez$$iINSPIRE-00010914$$uRice U.
000056178 700__ $$aOsman, Nicolas Ahmed$$iINSPIRE-00011554$$uMarseille, CPPM
000056178 700__ $$aOsta, Jyotsna$$iINSPIRE-00047228$$uNotre Dame U.
000056178 700__ $$aOtero y Garzon, Gustavo J.$$iINSPIRE-00046137$$uBuenos Aires U.
000056178 700__ $$aPadilla, Mark Anthony$$iINSPIRE-00010519$$uUC, Riverside
000056178 700__ $$aPal, Arnab$$iINSPIRE-00271611$$uTexas U., Arlington
000056178 700__ $$aParashar, Neeti$$iINSPIRE-00038772$$uPurdue U.
000056178 700__ $$aParihar, Vivek$$iINSPIRE-00011106$$uBrown U.
000056178 700__ $$aPark, Sung Keun$$iINSPIRE-00114681$$uKorea U.
000056178 700__ $$aPartridge, Richard A.$$iINSPIRE-00114805$$uSLAC$$uBrown U.
000056178 700__ $$aParua, Nirmalya$$iINSPIRE-00114817$$uIndiana U.
000056178 700__ $$aPatwa, Abid$$iINSPIRE-00115127$$uBrookhaven
000056178 700__ $$aPenning, Bjoern$$iINSPIRE-00007584$$uFermilab
000056178 700__ $$aPerfilov, Maxim Anatolyevich$$iINSPIRE-00036598$$uMoscow State U.
000056178 700__ $$aPeters, Reinhild Yvonne Fatima$$iINSPIRE-00008252$$uManchester U.
000056178 700__ $$aPetridis, Konstantinos$$iINSPIRE-00002216$$uManchester U.
000056178 700__ $$aPetrillo, Gianluca$$iINSPIRE-00019289$$uRochester U.
000056178 700__ $$aPetroff, Pierre$$iINSPIRE-00116049$$uOrsay, LAL
000056178 700__ $$aPiegaia, Ricardo N.$$iINSPIRE-00152829$$uBuenos Aires U.
000056178 700__ $$aPleier, Marc-Andre$$iINSPIRE-00046720$$uBrookhaven
000056178 700__ $$aPodesta-Lerma, Pedro Luis Manuel$$iINSPIRE-00049100$$uSinaloa U.$$uCINVESTAV, IPN
000056178 700__ $$aPodstavkov, Vladimir M.$$iINSPIRE-00116960$$uFermilab
000056178 700__ $$aPolozov, Pavel A.$$iINSPIRE-00117125$$uMoscow, ITEP
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000056178 700__ $$aPrice, Darren$$iINSPIRE-00027472$$uIndiana U.
000056178 700__ $$aProkopenko, Nikolay N.$$iINSPIRE-00036409$$uSerpukhov, IHEP
000056178 700__ $$aQian, Jianming$$iINSPIRE-00118167$$uMichigan U.
000056178 700__ $$aQuadt, Arnulf$$iINSPIRE-00118216$$uGottingen U., Zweites Phys. Inst.
000056178 700__ $$aQuinn, Brian P.$$iINSPIRE-00118288$$uMississippi U.
000056178 700__ $$aRangel, Murilo Santana$$iINSPIRE-00024740$$uRio de Janeiro, CBPF
000056178 700__ $$aRanjan, Kirti$$iINSPIRE-00038731$$uDelhi U.
000056178 700__ $$aRatoff, Peter N.$$iINSPIRE-00119089$$uLancaster U.
000056178 700__ $$aRazumov, Ivan A.$$iINSPIRE-00012786$$uSerpukhov, IHEP
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000056178 700__ $$aRijssenbeek, Michael M.$$iINSPIRE-00120164$$uSUNY, Stony Brook
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000056178 700__ $$aRizatdinova, Flera$$iINSPIRE-00048668$$uOklahoma State U.
000056178 700__ $$aRominsky, Mandy Kathleen$$iINSPIRE-00007250$$uFermilab
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000056178 700__ $$aRoyon, Christophe$$iINSPIRE-00121542$$uDAPNIA, Saclay
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000056178 700__ $$aSafronov, Grigory Borisovich$$iINSPIRE-00008500$$uMoscow, ITEP
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000056178 700__ $$aSanchez-Hernandez, Alberto$$iINSPIRE-00122966$$uCINVESTAV, IPN
000056178 700__ $$aSanders, Michiel P.$$iINSPIRE-00038712$$uMunich U.
000056178 700__ $$aSanghi, Batbold$$iINSPIRE-00030199$$uFermilab
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000056178 700__ $$aSawyer, H.Lee$$iINSPIRE-00123608$$uLouisiana Tech. U.
000056178 700__ $$aScanlon, Timothy P.$$iINSPIRE-00038709$$uImperial Coll., London
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000056178 700__ $$aSchellman, Heidi M.$$iINSPIRE-00123914$$uNorthwestern U.
000056178 700__ $$aSchliephake, Thorsten Dirk$$iINSPIRE-00024702$$uWuppertal U.
000056178 700__ $$aSchlobohm, Sarah Beth$$iINSPIRE-00018163$$uWashington U., Seattle
000056178 700__ $$aSchwanenberger, Christian$$iINSPIRE-00124643$$uManchester U.
000056178 700__ $$aSchwienhorst, Reinhard H.$$iINSPIRE-00050408$$uMichigan State U.
000056178 700__ $$aSekaric, Jadranka$$iINSPIRE-00045058$$uKansas U.
000056178 700__ $$aSeverini, Horst$$iINSPIRE-00125370$$uOklahoma U.
000056178 700__ $$aShabalina, Elizaveta K.$$iINSPIRE-00038690$$uGottingen U., Zweites Phys. Inst.
000056178 700__ $$aShary, Viacheslav V.$$iINSPIRE-00006382$$uDAPNIA, Saclay
000056178 700__ $$aShchukin, Andrey A.$$iINSPIRE-00038677$$uSerpukhov, IHEP
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000056178 700__ $$aSimak, Vladislav J.$$iINSPIRE-00126496$$uPrague, Tech. U.
000056178 700__ $$aSirotenko, Vladimir I.$$iINSPIRE-00126833$$uFermilab
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000056178 700__ $$aSmirnov, Dmitri V.$$iINSPIRE-00034498$$uNotre Dame U.
000056178 700__ $$aSmith, Kenneth J.$$iINSPIRE-00009976$$uSUNY, Buffalo
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000056178 700__ $$aSnow, Joel Mark$$iINSPIRE-00127419$$uLangston U.
000056178 700__ $$aSnyder, Scott Stuart$$iINSPIRE-00300553$$uBrookhaven
000056178 700__ $$aSoldner-Rembold, Stefan$$iINSPIRE-00127655$$uManchester U.
000056178 700__ $$aSonnenschein, Lars$$iINSPIRE-00045957$$uAachen, Tech. Hochsch.
000056178 700__ $$aSoustruznik, Karel$$iINSPIRE-00127970$$uCharles U.
000056178 700__ $$aStark, Jan$$iINSPIRE-00050567$$uLPSC, Grenoble
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000056178 700__ $$aSvoisky, Peter V.$$iINSPIRE-00018439$$uOklahoma U.
000056178 700__ $$aTakahashi, Maiko$$iINSPIRE-00052621$$uManchester U.
000056178 700__ $$aTanasijczuk, Andres Jorge$$iINSPIRE-00024630$$uBuenos Aires U.
000056178 700__ $$aTitov, Maxim$$iINSPIRE-00047058$$uDAPNIA, Saclay
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000056178 700__ $$aTschann-Grimm, Kathryn$$iINSPIRE-00301388$$uSUNY, Stony Brook
000056178 700__ $$aTsybychev, Dmitri$$iINSPIRE-00132531$$uSUNY, Stony Brook
000056178 700__ $$aTuchming, Boris$$iINSPIRE-00038604$$uDAPNIA, Saclay
000056178 700__ $$aTully, Christopher George T.$$iINSPIRE-00132570$$uPrinceton U.
000056178 700__ $$aUvarov, Lev$$iINSPIRE-00021932$$uSt. Petersburg, INP
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000056178 700__ $$aVan Kooten, Richard J.$$iINSPIRE-00133340$$uIndiana U.
000056178 700__ $$aVan leeuwen, Willem M.$$iINSPIRE-00003808$$uNIKHEF, Amsterdam
000056178 700__ $$aVarelas, Nikos$$iINSPIRE-00133485$$uIllinois U., Chicago
000056178 700__ $$aVarnes, Erich W.$$iINSPIRE-00133542$$uArizona U.
000056178 700__ $$aVasilyev, Igor A.$$iINSPIRE-00038583$$uSerpukhov, IHEP
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000056178 700__ $$aVilanova, Didier$$iINSPIRE-00133931$$uDAPNIA, Saclay
000056178 700__ $$aVokac, Petr$$iINSPIRE-00007099$$uPrague, Tech. U.
000056178 700__ $$aVoutilainen, Mikko Antero$$iINSPIRE-00032213$$uHelsinki U. Observ.$$uNebraska U.
000056178 700__ $$aWahl, Horst D.$$iINSPIRE-00134554$$uFlorida State U.
000056178 700__ $$aWang, Michael H.L.S.$$iINSPIRE-00134871$$uFermilab
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000056178 700__ $$aWatts, Gordon Thomas$$iINSPIRE-00135120$$uWashington U., Seattle
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000056178 700__ $$aWeber, Michael S.$$iINSPIRE-00135206$$uBern U.$$uFermilab
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000056178 700__ $$aWilliams, Mark Richard James$$iINSPIRE-00136085$$uLancaster U.
000056178 700__ $$aWilson, Graham Wallace$$iINSPIRE-00136140$$uKansas U.
000056178 700__ $$aWobisch, Markus$$iINSPIRE-00136413$$uLouisiana Tech. U.
000056178 700__ $$aWood, Darien Robert$$iINSPIRE-00300234$$uNortheastern U.
000056178 700__ $$aWyatt, Terence R.$$iINSPIRE-00136898$$uManchester U.
000056178 700__ $$aXie, Yunhe$$iINSPIRE-00007769$$uFermilab
000056178 700__ $$aYamada, Ryuji$$iINSPIRE-00137070$$uFermilab
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000056178 700__ $$aYasuda, Takahiro$$iINSPIRE-00137352$$uFermilab
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000056178 700__ $$aZhao, Tianchi$$iINSPIRE-00138355$$uWashington U., Seattle
000056178 700__ $$aZhou, Bing$$iINSPIRE-00138410$$uMichigan U.
000056178 700__ $$aZhu, Junjie$$iINSPIRE-00053364$$uMichigan U.
000056178 700__ $$aZielinski, Marek$$iINSPIRE-00138535$$uRochester U.
000056178 700__ $$aZieminska, Daria$$iINSPIRE-00138550$$uIndiana U.
000056178 700__ $$aZivkovic, Lidija$$iINSPIRE-00057284$$uBrown U.
000056178 710__ $$gD0 Collaboration
000056178 773__ $$pPhys.Rev.D
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/arXiv:1110.3771.pdf
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig1.png$$y00000 (color online) Inclusive jet production cross section for central jets ($|y|<0.4$) for Run I and Run II energies at the Tevatron obtained using NLO QCD as implemented in {\sc{nlojet++}}. The ratio of the two curves is shown in the bottom panel. We note an increase of the Run II cross section with respect to Run I of up to a factor 10 at highest jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig10a.png$$y00012 Fits of $F_\eta$ in $\gamma$+jet and dijet data for two different regions in $\eta$ as a function of $E'$. The central fit values and the uncertainty band are displayed on the figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig10b.png$$y00013 Fits of $F_\eta$ in $\gamma$+jet and dijet data for two different regions in $\eta$ as a function of $E'$. The central fit values and the uncertainty band are displayed on the figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig11.png$$y00014 Relative uncertainties on the $\eta$-dependent corrections as a function of jet detector rapidity.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig12.png$$y00015 (color online) Quark- and gluon-initiated jet responses and their relative differences for CC jets as a function of $E'$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig13.png$$y00016 (color online) Fraction of gluon initiated jets in $\gamma +$jet and dijet events in the CC.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig14.png$$y00017 (color online) Jet energy profiles as a function of distance from the jet axis $\Delta R$ for MC and data used to compute showering corrections. The data are corrected for offset energy from noise and additional $p\bar{p}$ collisions and are compared to MC jets without offset (jet) and contributions from the underlying event (not-jet). We note the good agreement between data and the sum of energy contributions from inside and outside the jet in MC.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig15.png$$y00018 (color online) Jet showering corrections shown as a function of jet $p_T$ for different regions of jet pseudorapidity.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig16.png$$y00019 (color online) Topology bias in the MPF method for jet $p_T$ response.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig17.png$$y00020 Bias in the measurement of jet energy, $k_O$, due to zero suppression effects on the offset correction, shown as a function of $p'_T$ for central jets and different number of reconstructed vertices.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig18.png$$y00021 Zero suppression bias $k_O/k_R$ in CC. The outer solid lines show the uncertainty attributed to the bias correction and the 1$\sigma$ contours.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig19.png$$y00022 (color online) Rapidity bias obtained in MC for different jet energies $E$. The curves cover the range $p_T>30$~GeV and $|y_{\mathrm{jet}}|<2.4$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig2.png$$y00001 (color online) Fractional contributions of the $qq$, $qg$ and $gg$ sub-processes to the inclusive jet cross section for central jets as a function of jet $p_T$ and of the fraction of the beam energy carried by the jet, $x_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig20a.png$$y00023 (color online) Jet energy scale corrections as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet rapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig20b.png$$y00024 (color online) Jet energy scale corrections as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet rapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig20c.png$$y00025 (color online) Jet energy scale corrections as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet rapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig20d.png$$y00026 (color online) Jet energy scale corrections as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet rapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig21a.png$$y00027 (color online) Jet energy scale uncertainties as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet pseudorapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig21b.png$$y00028 (color online) Jet energy scale uncertainties as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet pseudorapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig21c.png$$y00029 (color online) Jet energy scale uncertainties as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet pseudorapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig21d.png$$y00030 (color online) Jet energy scale uncertainties as a function of jet $p_T$ for (a) central and (b) forward rapidity, and as a function of jet pseudorapidity for (c) low and (d) high jet $p_T$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig22a.png$$y00031 Closure test of jet energy scale in MC for (a) $|\eta_{det}|<0.4$ and (b) $0.4<|\eta_{det}|<0.8$. The band outlined by the solid curves corresponds to the uncertainties in the extraction of jet energy scale in MC which are mainly statistical.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig22b.png$$y00032 Closure test of jet energy scale in MC for (a) $|\eta_{det}|<0.4$ and (b) $0.4<|\eta_{det}|<0.8$. The band outlined by the solid curves corresponds to the uncertainties in the extraction of jet energy scale in MC which are mainly statistical.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig23a.png$$y00033 (color online) Inclusive jet $p_T$ cross section without unfolding corrections for the different single jet triggers as a function of jet $p_T$ for (a) $|y|<0.4$ and (b) $2.0<|y|<2.4$. The average prescales are 34000, 7100, 460, 41, 9.6, 1.4 and 1 for the 8, 15, 25, 45, 65, 95, and 125 GeV triggers, respectively.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig23b.png$$y00034 (color online) Inclusive jet $p_T$ cross section without unfolding corrections for the different single jet triggers as a function of jet $p_T$ for (a) $|y|<0.4$ and (b) $2.0<|y|<2.4$. The average prescales are 34000, 7100, 460, 41, 9.6, 1.4 and 1 for the 8, 15, 25, 45, 65, 95, and 125 GeV triggers, respectively.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig24.png$$y00035 (color online) Ratio of two consecutive jet triggers used to obtain the relative jet trigger efficiency for the 95 and 65 GeV single jet triggers. The fit of the turn-on curve determines the 95 GeV jet $p_T$ 99\%-threshold to be 130 GeV. A higher threshold of 160 GeV that is consistent with an efficiency $\epsilon=1.00$ is used in the final analysis.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig25.png$$y00038 (color online) Vertex acceptance for the requirement on the $z$-vertex position $|z_{\mathrm{vertex}}|<50$~cm as a function of instantaneous luminosity. The shaded band indicates the variation for different running periods.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig26.png$$y00039 (color online) Distribution of $p_{T,\mathrm{lead}}/\met$ for jet events with leading jet $p_T>200$ GeV. A peak from cosmic ray background is visible around 1. The shaded region shows jets passing the $p_{T,\mathrm{lead}}/\met$ requirement.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig27.png$$y00040 (color online) Jet identification efficiencies obtained for the dijet sample. Dashed lines indicate the systematic uncertainty.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig28.png$$y00041 (color online) Asymmetry distribution for jets in the central region with $80< p_T <100$~GeV. The probe jet is at $|y|<0.4$, the reference jet at $|y_\mathrm{ref}|<0.8$. The two lines display the result of a Gaussian fit and a Gaussian with smeared exponential tails (see Sec.~\ref{finalres}).
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig29a.png$$y00042 (a) Jet $p_T$ resolution extrapolated to a jet $p_T$ reconstruction threshold of 0 GeV (in the $80<p_T<100$ GeV and $|y|<0.4$ bin). (b) Soft radiation correction factor as a function of the average jet $p_T$ for the $0.4<|y|<0.8$ bin. The solid lines are the fit result and the dashed lines are the result of the extrapolations.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig29b.png$$y00043 (a) Jet $p_T$ resolution extrapolated to a jet $p_T$ reconstruction threshold of 0 GeV (in the $80<p_T<100$ GeV and $|y|<0.4$ bin). (b) Soft radiation correction factor as a function of the average jet $p_T$ for the $0.4<|y|<0.8$ bin. The solid lines are the fit result and the dashed lines are the result of the extrapolations.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig3.png$$y00002 Side view of a quadrant of the D0 calorimeters (CC, EC and ICR) showing the transverse and longitudinal segmentation~\cite{d0det}. The shading pattern indicates the cells for signal readout. The lines indicate the pseudorapidity intervals defined from the center of the detector. The CC covers the region $|\eta| < 1.2$ and the EC extends the coverage up to $|\eta| \sim$4.2. The inter-cryostat detector is visible as a thin dark shaded tile between the cryostats, within $1.1<|\eta|<1.4$, and the massless gap detectors are inside the cryostats, within $0.8<|\eta|<1.2$ (in the CC) and $1.0<|\eta|<1.3$ (in the EC).
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig30a.png$$y00044 (color online) Jet $p_T$ resolution determined in data for the six rapidity regions. The solid curves are the results of the fit. The fit uncertainty is given by the shaded band.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig30b.png$$y00045 (color online) Jet $p_T$ resolution determined in data for the six rapidity regions. The solid curves are the results of the fit. The fit uncertainty is given by the shaded band.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig30c.png$$y00046 (color online) Jet $p_T$ resolution determined in data for the six rapidity regions. The solid curves are the results of the fit. The fit uncertainty is given by the shaded band.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig30d.png$$y00047 (color online) Jet $p_T$ resolution determined in data for the six rapidity regions. The solid curves are the results of the fit. The fit uncertainty is given by the shaded band.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig30e.png$$y00048 (color online) Jet $p_T$ resolution determined in data for the six rapidity regions. The solid curves are the results of the fit. The fit uncertainty is given by the shaded band.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig30f.png$$y00049 (color online) Jet $p_T$ resolution determined in data for the six rapidity regions. The solid curves are the results of the fit. The fit uncertainty is given by the shaded band.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig31a.png$$y00050 (color online) (a) Example of punch through for $|y|<0.4$ at high jet $p_T$ for $300<p_T<400$~GeV and $|y|<0.4$. (b) Example of tails of the jet $p_T$ resolution in the ICR for $160<p_T<200$~GeV and $0.8<|y|<1.2$. The two curves are the result of the Gaussian fit and of a Gaussian plus exponential tails.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig31b.png$$y00051 (color online) (a) Example of punch through for $|y|<0.4$ at high jet $p_T$ for $300<p_T<400$~GeV and $|y|<0.4$. (b) Example of tails of the jet $p_T$ resolution in the ICR for $160<p_T<200$~GeV and $0.8<|y|<1.2$. The two curves are the result of the Gaussian fit and of a Gaussian plus exponential tails.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig32a.png$$y00052 (color online) Relative statistical and systematic uncertainties on jet $p_T$ resolution for (a) $|y|<0.4$ and (b) $2.0<|y_{\mathrm{jet}}|<2.4$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig32b.png$$y00053 (color online) Relative statistical and systematic uncertainties on jet $p_T$ resolution for (a) $|y|<0.4$ and (b) $2.0<|y_{\mathrm{jet}}|<2.4$.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig33.png$$y00054 (color online) Rapidity resolution (RMS) as a function of $y$ in different jet $p_T$ regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig34a.png$$y00055 Data divided by the ansatz fit with models for $p_T$ and $y$ smearing in the six rapidity regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig34b.png$$y00056 Data divided by the ansatz fit with models for $p_T$ and $y$ smearing in the six rapidity regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig34c.png$$y00057 Data divided by the ansatz fit with models for $p_T$ and $y$ smearing in the six rapidity regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig34d.png$$y00058 Data divided by the ansatz fit with models for $p_T$ and $y$ smearing in the six rapidity regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig34e.png$$y00059 Data divided by the ansatz fit with models for $p_T$ and $y$ smearing in the six rapidity regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig34f.png$$y00060 Data divided by the ansatz fit with models for $p_T$ and $y$ smearing in the six rapidity regions.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig35a.png$$y00061 (color online) Unfolding corrections in the six rapidity regions as a function of jet $p_T$. The corrections are given for $p_T$, $y$ unfolding separately and combined.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig35b.png$$y00062 (color online) Unfolding corrections in the six rapidity regions as a function of jet $p_T$. The corrections are given for $p_T$, $y$ unfolding separately and combined.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig35c.png$$y00063 (color online) Unfolding corrections in the six rapidity regions as a function of jet $p_T$. The corrections are given for $p_T$, $y$ unfolding separately and combined.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig35d.png$$y00064 (color online) Unfolding corrections in the six rapidity regions as a function of jet $p_T$. The corrections are given for $p_T$, $y$ unfolding separately and combined.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig35e.png$$y00065 (color online) Unfolding corrections in the six rapidity regions as a function of jet $p_T$. The corrections are given for $p_T$, $y$ unfolding separately and combined.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig35f.png$$y00066 (color online) Unfolding corrections in the six rapidity regions as a function of jet $p_T$. The corrections are given for $p_T$, $y$ unfolding separately and combined.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig36.png$$y00067 (color online) Inclusive jet cross section measurements as a function of jet $p_T$ in six $|y|$ bins. The data points are multiplied by 2, 4, 8, 16, and 32 for the bins $1.6<|y|<2.0$, $1.2<|y|<1.6$, $0.8<|y|<1.2$, $0.4<|y|<0.8$, and $|y|<0.4$, respectively.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig37.png$$y00068 (color online) MC closure test of the method used to extract the inclusive jet $p_T$ cross section for the jet $|y|<0.4$ bin. The full analysis was repeated treating MC events as data and comparing the result to the input cross section. Good agreement is found within the statistical uncertainties of fits to jet energy scale and resolution, and unfolding present in MC (shaded band), which are much smaller than the systematic uncertainties in data.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig38.png$$y00069 (color online) Hadronization (dashed line) and underlying event (dotted line) corrections for inclusive jet cross section and the product of both corrections (solid line). The uncertainty on the theory is estimated as 50\% of the individual corrections added in quadrature.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig39.png$$y00070 (color online) Measured data divided by theory for the inclusive jet cross section as a function of jet $p_T$ in the six $|y|$ bins. The data systematic uncertainties are displayed by the shaded band. NLO pQCD calculations, with renormalization and factorization scales set to jet $p_T$ using the CTEQ6.5M PDFs and including non-perturbative corrections, are compared to the data. The CTEQ6.5 PDF uncertainties are shown as dashed lines and the predictions with MRST2004 PDFs as dotted lines. The theoretical uncertainty, determined by changing the renormalization and factorization scales between $p_T/2$ and $2 p_T$, is shown at the bottom of each figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig4.png$$y00003 (color online) Uncertainty on the inclusive jet cross section due to the choice of the renormalization and factorization scales $\mu_R$ and $\mu_F$ in the NLO QCD calculation using {\sc{nlojet++}}.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig40.png$$y00071 (color online) Measured data divided by theory for the inclusive jet cross section as a function of jet $p_T$ in the six $|y|$ bins using the MSTW2008 parameterization. The data systematic uncertainties are displayed by the shaded band. The theoretical uncertainty, determined by changing the renormalization and factorization scales between $p_T/2$ and $2 p_T$, is shown at the bottom of each figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig41.png$$y00072 (color online) Measured data divided by theory for the inclusive jet cross section as a function of jet $p_T$ in the six $|y|$ bins using the HERAPDF1.0 parameterization. The data systematic uncertainties are displayed by the shaded band. The theoretical uncertainty, determined by changing the renormalization and factorization scales between $p_T/2$ and $2 p_T$, is shown at the bottom of each figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig42.png$$y00073 (color online) Measured data divided by theory for the inclusive jet cross section as a function of jet $p_T$ in the six $|y|$ bins using the ABKM09 parameterization. The data systematic uncertainties are displayed by the shaded band. The theoretical uncertainty, determined by changing the renormalization and factorization scales between $p_T/2$ and $2 p_T$, is shown at the bottom of each figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig43.png$$y00074 (color online) Measured data divided by theory for the inclusive jet cross section as a function of jet $p_T$ in the six $|y|$ bins using the CT10 parameterization. The data systematic uncertainties are displayed by the shaded band. The theoretical uncertainty, determined by changing the renormalization and factorization scales between $p_T/2$ and $2 p_T$, is shown at the bottom of each figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig44.png$$y00075 (color online) Measured data divided by theory for the inclusive jet cross section as a function of jet $p_T$ in the six $|y|$ bins using the NNPDFv2.1 parameterization. The data systematic uncertainties are displayed by the shaded band. The theoretical uncertainty, determined by changing the renormalization and factorization scales between $p_T/2$ and $2 p_T$, is shown at the bottom of each figure.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig45a.png$$y00076 (color online) Different components of the systematic uncertainty as a function of jet $p_T$ in the six $y$ bins.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig45b.png$$y00077 (color online) Different components of the systematic uncertainty as a function of jet $p_T$ in the six $y$ bins.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig45c.png$$y00078 (color online) Different components of the systematic uncertainty as a function of jet $p_T$ in the six $y$ bins.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig45d.png$$y00079 (color online) Different components of the systematic uncertainty as a function of jet $p_T$ in the six $y$ bins.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig45e.png$$y00080 (color online) Different components of the systematic uncertainty as a function of jet $p_T$ in the six $y$ bins.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig45f.png$$y00081 (color online) Different components of the systematic uncertainty as a function of jet $p_T$ in the six $y$ bins.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig46a.png$$y00082 (color online) Correlated uncertainties for all central regions and the ICR as a function of jet $p_T$ for four $|y|$ bins, $|y|<0.4$, $0.4<|y|<0.8$, $0.8<|y|<1.2$, and $1.2<|y|<1.6$ . The five largest systematic uncertainties are shown together with uncorrelated and total uncertainties, computed as the sum in quadrature of all sources.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig46b.png$$y00083 (color online) Correlated uncertainties for all central regions and the ICR as a function of jet $p_T$ for four $|y|$ bins, $|y|<0.4$, $0.4<|y|<0.8$, $0.8<|y|<1.2$, and $1.2<|y|<1.6$ . The five largest systematic uncertainties are shown together with uncorrelated and total uncertainties, computed as the sum in quadrature of all sources.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig47.png$$y00084 (color online) Correlated uncertainties for $1.6<|y|<2.0$ and $2.0<|y|<2.4$ as a function of jet $p_T$. The five largest systematic uncertainties are shown together with uncorrelated and total uncertainties, computed as the sum in quadrature of all sources.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig5.png$$y00004 (color online) Uncertainty of the CTEQ6.5M gluon PDF (solid lines) in percent compared to the differences between CTEQ6.5M and MRST2004 (dashed line), MSTW2008 (dash-dotted line) central values.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig6.png$$y00005 (color online) Offset corrections as a function of the jet pseudorapidity in the detector (without taking into account the vertex position) for different numbers of reconstructed primary vertices $N_\mathrm{PV}$. The special case $N_\mathrm{PV}=1$ includes only the noise contribution to the offset.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig7.png$$y00006 (color online) Extrapolation of the jet energy response in the CC at high $E'$ using the rescaled MC (see the main text) and a fit to the MC points. The dotted line shows a simple quadratic logarithmic fit to data for comparison with the tuned MC results displayed by the solid line. We also display in the bottom panel the relative difference between both curves and the statistical uncertainty on the fit to the rescaled MC in dashed lines.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig8.png$$y00007 (color online) Different sources of uncertainty on the jet $p_T$ response in the CC: photon energy scale, photon identification, fragmentation, and PDF.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig9a.png$$y00008 The (a-c) parameters of the $\eta$-dependent correction and (d) the $\eta$-dependent scaling factor applied to the dijet samples. The sharp features are due to changes in the detector structure, moving from the central to forward calorimeters.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig9b.png$$y00009 The (a-c) parameters of the $\eta$-dependent correction and (d) the $\eta$-dependent scaling factor applied to the dijet samples. The sharp features are due to changes in the detector structure, moving from the central to forward calorimeters.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig9c.png$$y00010 The (a-c) parameters of the $\eta$-dependent correction and (d) the $\eta$-dependent scaling factor applied to the dijet samples. The sharp features are due to changes in the detector structure, moving from the central to forward calorimeters.
000056178 8564_ $$uhttp://inspirehep.net/record/940151/files/Fig9d.png$$y00011 The (a-c) parameters of the $\eta$-dependent correction and (d) the $\eta$-dependent scaling factor applied to the dijet samples. The sharp features are due to changes in the detector structure, moving from the central to forward calorimeters.
000056178 909CO $$ooai:jdsweb.jinr.ru:56178$$pglobal
000056178 961__ $$x2011-10-17
000056178 961__ $$c2011-10-20
000056178 970__ $$aSPIRES-9232176
000056178 980__ $$aarXiv
000056178 980__ $$aCiteable
000056178 980__ $$aCORE
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