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Volumn 56, Issue 7, 1997, Pages 3811-3832

Double parton scattering in [Formula presented] collisions at [Formula presented]

(463)  Abe, F q   Akimoto, H aj   Akopian, A ae   Albrow, M G g   Amendolia, S R aa   Amidei, D t   Antos, J ag   Aota, S aj   Apollinari, G ae   Asakawa, T aj   Ashmanskas, W r   Atac, M g   Azfar, F z   Azzi Bacchetta, P y   Bacchetta, N y   Badgett, W t   Bagdasarov, S ae   Bailey, M W v   Bao, J am   de Barbaro, P ad   more..


Author keywords

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Indexed keywords


EID: 0642364033     PISSN: 15507998     EISSN: 15502368     Source Type: Journal    
DOI: 10.1103/PhysRevD.56.3811     Document Type: Article
Times cited : (391)

References (30)
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    • In prior CDF publications, the lowest (Formula presented) jets are those of the top quark measurement: CDF Collaboration, F. Abe et al., Phys. Rev. Lett. 50, 2626 (1995). Jets were accepted down to 8 GeV in uncorrected (Formula presented)
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    • For MIXDI mixing, the transverse energies in all calorimeter towers were stored for each ingredient event. During event mixing, tower (Formula presented)'s from one ingredient event were allowed to overlap with the observed jets in the other. In this way, all MIXDI jets effectively include the underlying event (Formula presented) associated with two (Formula presented) hard scatterings. Calorimeter towers from the minimum bias ingredient event were also allowed to overlap with the photon candidate from the photon ingredient event
    • For MIXDI mixing, the transverse energies in all calorimeter towers were stored for each ingredient event. During event mixing, tower (Formula presented)'s from one ingredient event were allowed to overlap with the observed jets in the other. In this way, all MIXDI jets effectively include the underlying event (Formula presented) associated with two (Formula presented) hard scatterings. Calorimeter towers from the minimum bias ingredient event were also allowed to overlap with the photon candidate from the photon ingredient event.
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    • A (Formula presented) comparison between the data and PYTHIA for the two most distinguishing distributions, Figs. 66(a) and 66(f), yields (Formula presented) and (Formula presented) (statistical uncertainties only)
    • A (Formula presented) comparison between the data and PYTHIA for the two most distinguishing distributions, Figs. 66(a) and 66(f), yields (Formula presented) and (Formula presented) (statistical uncertainties only).
  • 24
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    • This effect is also seen in the comparison of (Formula presented) spectra for 1VTX and 2VTX data. The 2VTX spectrum is softer, and 2VTX events have a larger “double scatter component” (Formula presented) than 1VTX events
    • This effect is also seen in the comparison of (Formula presented) spectra for 1VTX and 2VTX data. The 2VTX spectrum is softer, and 2VTX events have a larger “double scatter component” (Formula presented) than 1VTX events.
  • 25
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    • The value from the δφ(γ, jet 2) fit is low, (Formula presented) Refitting this variable with the constraint that (Formula presented) worsens the (Formula presented) from 27.3 to 34.0 for 29 Df, but the level of agreement is visually indistinguishable from the original fit. We conclude that the δφ(γ, jet 2) variable is consistent with 52.6%, but has limited distinguishing power in this method
    • The value from the δφ(γ, jet 2) fit is low, (Formula presented) Refitting this variable with the constraint that (Formula presented) worsens the (Formula presented) from 27.3 to 34.0 for 29 Df, but the level of agreement is visually indistinguishable from the original fit. We conclude that the δφ(γ, jet 2) variable is consistent with 52.6%, but has limited distinguishing power in this method.
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    • There are approximately 30% as many 2VTX events as 1VTX events, and 17.7% of 2VTX are DI. Thus the fraction of DI events compared to 1VTX is (Formula presented) Based on studies of vertex inefficiency, 4% of DI events will be found with 1 vertex. Thus the fraction of DI events faking single vertex events, compared to 1VTX, is (Formula presented) Expressed as a fraction of the number of DP events, it is (Formula presented)
    • There are approximately 30% as many 2VTX events as 1VTX events, and 17.7% of 2VTX are DI. Thus the fraction of DI events compared to 1VTX is (Formula presented) Based on studies of vertex inefficiency, 4% of DI events will be found with 1 vertex. Thus the fraction of DI events faking single vertex events, compared to 1VTX, is (Formula presented) Expressed as a fraction of the number of DP events, it is (Formula presented)
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    • The pairwise mass and (Formula presented) are functions of the Feynman (Formula presented)'s. For example, (Formula presented) and (Formula presented)(dijet) is related to (Formula presented) These are combinations of the Feynman (Formula presented)'s not tested in the previous section
    • The pairwise mass and (Formula presented) are functions of the Feynman (Formula presented)'s. For example, (Formula presented) and (Formula presented)(dijet) is related to (Formula presented) These are combinations of the Feynman (Formula presented)'s not tested in the previous section.


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