University of Illinois at Chicago
Browse
Probing compressed bottom squarks..... shape analysis.pdf (607.75 kB)

Probing compressed bottom squarks with boosted jets and shape analysis

Download (607.75 kB)
journal contribution
posted on 2016-09-12, 00:00 authored by B. Dutta, A. Gurrola, K. Hatakeyama, W. Johns, T. Kamon, P. Sheldon, K. Sinha, S. Wu, Z. Wu
A feasibility study is presented for the search of the lightest bottom squark (sbottom) in a compressed scenario, where its mass difference from the lightest neutralino is 5 GeV. Two separate studies are performed: 1) a final state containing two vector-boson-fusion (VBF)-like tagged jets, missing transverse energy, and zero or one b-tagged jet; and 2) a final state consisting of an initial state radiation jet, missing transverse energy, and at least one b-tagged jet. An analysis of the shape of the missing transverse energy distribution for signal and background is performed in each case, leading to significant improvement over a cut and count analysis, especially after incorporating the consideration of systematic uncertainty and pileup. The shape analysis in the VBF-like tagged jet study leads to a 3σ exclusion potential of sbottoms with mass up to 530(462) GeV for an integrated luminosity of 300 fb-1 at 14 TeV, with 5% systematic uncertainty and PU=0(50).

Funding

This work is supported in part by DOE Grants No. DEFG02- 13ER42020 and No. DE-FG02-12ER41848 and NSF Award No. PHY-1206044. T. K. was also supported in part by the Qatar National Research Fund under project NPRP 5—464—1—080. K. S. is supported by NASA Astrophysics Theory Grant NNH12ZDA001N. Z.W. is supported by the National Science Foundation under Grant No. PHY-1306951.

History

Publisher Statement

This is a copy of an article published in the Physical Review D. © 2015 American Physical Society.

Publisher

American Physical Society

Language

  • en_US

issn

1550-7998

Issue date

2015-11-05

Usage metrics

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC