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Title: Reducing the top quark mass uncertainty with jet grooming

Abstract

The measurement of the top quark mass has large systematic uncertainties coming from the Monte Carlo simulations that are used to match theory and experiment. We explore how much that uncertainty can be reduced by using jet grooming procedures. Using the ATLAS A14 tunes of pythia, we estimate the uncertainty from the choice of tuning parameters in what is meant by the Monte Carlo mass to be around 530 MeV without any corrections. This uncertainty can be reduced by 60% to 200 MeV by calibrating to the W mass and by 70% to 140 MeV by additionally applying soft-drop jet grooming (or to 170 MeV using trimming). At e + e colliders, the associated uncertainty is around 110 MeV, reducing to 50 MeV after calibrating to the W mass. By analyzing the tuning parameters, we conclude that the importance of jet grooming after calibrating to the W -mass is to reduce sensitivity to the underlying event.

Authors:
ORCiD logo [1];  [1]
  1. Harvard Univ., Cambridge, MA (United States)
Publication Date:
Research Org.:
Harvard Univ., Cambridge, MA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1512501
Grant/Contract Number:  
SC0013607
Resource Type:
Accepted Manuscript
Journal Name:
Journal of High Energy Physics (Online)
Additional Journal Information:
Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2017; Journal Issue: 10; Journal ID: ISSN 1029-8479
Publisher:
Springer Berlin
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; Jets

Citation Formats

Andreassen, Anders, and Schwartz, Matthew D. Reducing the top quark mass uncertainty with jet grooming. United States: N. p., 2017. Web. doi:10.1007/jhep10(2017)151.
Andreassen, Anders, & Schwartz, Matthew D. Reducing the top quark mass uncertainty with jet grooming. United States. https://doi.org/10.1007/jhep10(2017)151
Andreassen, Anders, and Schwartz, Matthew D. Mon . "Reducing the top quark mass uncertainty with jet grooming". United States. https://doi.org/10.1007/jhep10(2017)151. https://www.osti.gov/servlets/purl/1512501.
@article{osti_1512501,
title = {Reducing the top quark mass uncertainty with jet grooming},
author = {Andreassen, Anders and Schwartz, Matthew D.},
abstractNote = {The measurement of the top quark mass has large systematic uncertainties coming from the Monte Carlo simulations that are used to match theory and experiment. We explore how much that uncertainty can be reduced by using jet grooming procedures. Using the ATLAS A14 tunes of pythia, we estimate the uncertainty from the choice of tuning parameters in what is meant by the Monte Carlo mass to be around 530 MeV without any corrections. This uncertainty can be reduced by 60% to 200 MeV by calibrating to the W mass and by 70% to 140 MeV by additionally applying soft-drop jet grooming (or to 170 MeV using trimming). At e + e – colliders, the associated uncertainty is around 110 MeV, reducing to 50 MeV after calibrating to the W mass. By analyzing the tuning parameters, we conclude that the importance of jet grooming after calibrating to the W -mass is to reduce sensitivity to the underlying event.},
doi = {10.1007/jhep10(2017)151},
journal = {Journal of High Energy Physics (Online)},
number = 10,
volume = 2017,
place = {United States},
year = {Mon Oct 23 00:00:00 EDT 2017},
month = {Mon Oct 23 00:00:00 EDT 2017}
}

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Cited by: 9 works
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Figures / Tables:

Figure 1 Figure 1: Left panel: an example of a histogram of our MC mass measurement, including $W$ calibration (see section 3), with $m^{MC}_{t}$ = 173GeV. The plot of the full range from 0 − 300GeV is inserted. The iterated Gaussian fit gives a simple and good approximation to the peak region.more » Right panel: the red dots show the calculated value $m^{fit}_{t}$ for several values of $m^{MC}_{t}$ . A linear fit $m^{fit}_{t}$ = 0.97$m^{MC}_{t}$ + 3.8GeV shows a good linear relationship.« less

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Scale-invariant instantons and the complete lifetime of the standard model
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Scale Invariant Instantons and the Complete Lifetime of the Standard Model
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