Search for low-scale gravity signatures in multi-jet final states with the ATLAS detector at $\sqrt{s} = 8$ TeV

The ATLAS collaboration
JHEP 07 (2015) 032, 2015.

Abstract (data abstract)
CERN-LHC. We search for evidence of physics beyond the Standard Model in the production of final states with multiple high transverse momentum jets, using 20.3 fb$^{-1}$ of proton-proton collision data recorded by the ATLAS detector at $\sqrt{s} = 8$ TeV. No excess of events beyond Standard Model expectations is observed, and upper limits on the visible cross-section for non-Standard Model production of multi-jet final states are set. Using a wide variety of models for black hole and string ball production and decay, the limit on the cross-section times acceptance is as low as 0.16 fb at the 95% CL for a minimum scalar sum of jet transverse momentum in the event of about 4.3 TeV. Using models for black hole and string ball production and decay, exclusion contours are determined as a function of the production mass threshold and the gravity scale. These limits can be interpreted in terms of lower-mass limits on black hole and string ball production that range from 4.6 to 6.2 TeV.

  • Table 1

    Data from htmin_data_n3

    10.17182/hepdata.67127.v1/t1

    Number of data events (20.3 fb$^{-1}$), number of predicted events from the fit, statistical uncertainty on the fit, systematic uncertainty...

  • Table 2

    Data from htmin_data_n4

    10.17182/hepdata.67127.v1/t2

    Number of data events (20.3 fb$^{-1}$), number of predicted events from the fit, statistical uncertainty on the fit, systematic uncertainty...

  • Table 3

    Data from htmin_data_n5

    10.17182/hepdata.67127.v1/t3

    Number of data events (20.3 fb$^{-1}$), number of predicted events from the fit, statistical uncertainty on the fit, systematic uncertainty...

  • Table 4

    Data from htmin_data_n6

    10.17182/hepdata.67127.v1/t4

    Number of data events (20.3 fb$^{-1}$), number of predicted events from the fit, statistical uncertainty on the fit, systematic uncertainty...

  • Table 5

    Data from htmin_data_n7

    10.17182/hepdata.67127.v1/t5

    Number of data events (20.3 fb$^{-1}$), number of predicted events from the fit, statistical uncertainty on the fit, systematic uncertainty...

  • Table 6

    Data from htmin_data_n8

    10.17182/hepdata.67127.v1/t6

    Number of data events (20.3 fb$^{-1}$), number of predicted events from the fit, statistical uncertainty on the fit, systematic uncertainty...

  • Table 7

    Data from n3_model_independent

    10.17182/hepdata.67127.v1/t7

    Upper limits on the visible cross section (cross section ($\sigma$) times acceptance ($A$) times efficiency ($\epsilon$)) at the 95% CL...

  • Table 8

    Data from n4_model_independent

    10.17182/hepdata.67127.v1/t8

    Upper limits on the visible cross section (cross section ($\sigma$) times acceptance ($A$) times efficiency ($\epsilon$)) at the 95% CL...

  • Table 9

    Data from n5_model_independent

    10.17182/hepdata.67127.v1/t9

    Upper limits on the visible cross section (cross section ($\sigma$) times acceptance ($A$) times efficiency ($\epsilon$)) at the 95% CL...

  • Table 10

    Data from n6_model_independent

    10.17182/hepdata.67127.v1/t10

    Upper limits on the visible cross section (cross section ($\sigma$) times acceptance ($A$) times efficiency ($\epsilon$)) at the 95% CL...

  • Table 11

    Data from n7_model_independent

    10.17182/hepdata.67127.v1/t11

    Upper limits on the visible cross section (cross section ($\sigma$) times acceptance ($A$) times efficiency ($\epsilon$)) at the 95% CL...

  • Table 12

    Data from n8_model_independent

    10.17182/hepdata.67127.v1/t12

    Upper limits on the visible cross section (cross section ($\sigma$) times acceptance ($A$) times efficiency ($\epsilon$)) at the 95% CL...

  • Table 13

    Data from table8

    10.17182/hepdata.67127.v1/t13

    Mean reconstruction efficiencies $(\epsilon)$ and RMS of the reconstruction efficiencies for various black hole and string ball models.

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