Abstract
Jets in high energy hadronic collisions often contain the fingerprints of the particles that produced them. Those fingerprints, and thus the nature of the particles that produced the jets, can be read off with the help of quantities known as jet shapes. Jet shapes are, however, severely affected by pileup, the accumulation in the detector of the residues of the many simultaneous collisions taking place in the Large Hadron Collider (LHC). We introduce a method to correct for pileup effects in jet shapes. Relative to earlier, limited approaches, the key advance resides in its full generality, achieved through a numerical determination, for each jet, of a given shape's susceptibility to pileup. The method rescues the possibility of using jet shapes in the high pileup environment of current and future LHC running, as we show with examples of quark-gluon discrimination and top tagging.
Highlights
In recent years extensive interest has developed in going beyond this basic use: for example, to understand if the parton is a quark or a gluon, or to identify rare cases where a single jet originated from multiple hard partons, perhaps from the hadronic decay of a highly-boosted W, Z or Higgs boson, top quark or other massive object [1,2,3]
The “jet substructure” techniques being developed in this context will be crucial to exploit the full kinematic reach of the Large Hadron Collider (LHC), notably the high transverse-momentum region, and to maximise the LHC’s sensitivity to hadronic manifestations of new physics scenarios
One potential show-stopper in substructure studies is the problem of pileup: with the LHC operating at high instantaneous luminosities, each interesting, high-pt proton-proton collision is accompanied by dozens of additional pp collisions, which add substantial low-pt noise to the event
Summary
The intent of this letter is to develop an effective, simple, general method to correct jet shapes for pileup.
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