Abstract

We describe the design and implementation of detector-bias emulation in the Rivet MC event analysis system. Implemented using C++ efficiency and kinematic smearing functors, it allows detector effects to be specified within an analysis routine, customised to the exact phase-space and reconstruction working points of the analysis. A set of standard detector functions for the physics objects of Runs 1 and 2 of the ATLAS and CMS experiments is also provided. Finally, as jet substructure is an important class of physics observable usually considered to require an explicit detector simulation, we demonstrate that a smearing approach, tuned to available substructure data and implemented in Rivet, can accurately reproduce jet-structure biases observed by ATLAS.

Highlights

  • The RIVET [1,2] framework is well established at the LHC and increasingly beyond as a standard toolkit and library of collider event analyses at “truth level”, i.e. on events as they would be seen by a detector with ideal calibrations and infinite resolutions

  • In experimental searches for new physics, the preference has almost universally been to perform the interpretation at detector level, both for speed and because searches often obtain model-sensitivity in observable bins whose statistics are too sparse for a stable unfolding but which can be interpreted without penalty using Poisson likelihoods

  • In order to fit the three constants to data we use the validated RIVET implementation of the ATLAS jet substructure analysis presented in Ref. [36]

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Summary

Introduction

The RIVET [1,2] framework is well established at the LHC and increasingly beyond as a standard toolkit and library of collider event analyses at “truth level”, i.e. on events as they would be seen by a detector with ideal calibrations and infinite resolutions. In this it plays an important role for preservation and reinterpretation (e.g. in Monte Carlo event generator tuning) of experimental data from which detector effects have been unfolded. In this paper we describe the design, implementation, and performance of such a fast detector-simulation system using the established RIVET analysis infrastructure, allowing detailed reproduction of analysis-specific detector effects for preservation of collider-experiment BSM search analyses in RIVET

Design considerations
Implementation of RIVET fast-simulation
Standard object smearing and efficiencies
Jet flavour tagging
Tracks
Electrons
Photons
Missing transverse momentum
Validation of smearing performance
Jet substructure smearing
ATLAS Run 1 jet substructure
Findings
ATLAS Run 2 jet substructure
Full Text
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