Energy-peak based method to measure top quark mass via B-hadron decay lengths

TL;DR

This paper introduces a novel energy-peak based method utilizing B-hadron decay lengths to measure the top quark mass, reducing jet-energy scale uncertainties and achieving high precision with current LHC data.

Contribution

The paper develops a decay length method for top quark mass measurement that minimizes systematic uncertainties related to jet energy scale and transverse momentum modeling.

Findings

Achieves sub-GeV statistical uncertainty with current LHC data.

Systematic uncertainties can be reduced using energy-peak methods.

Requires improved quark-hadron transition modeling for systematic precision.

Abstract

We develop a method for the determination of the top quark mass using the distribution of the decay length of the $B$-hadrons originating from its decay. This technique is based on our earlier observation regarding the location of the peak of the $b$ quark energy distribution. Such "energy-peak" methods enjoy a greater degree of model-independence with respect to the kinematics of top quark production compared to earlier proposals. The CMS experiment has implemented the energy-peak method using associated $b$-jet energy as an approximation for $b$ quark energy. The new method uses $B$-hadron decay lengths, which are related to $b$ quark energies by convolution. The advantage of the new decay length method is that it can be applied in a way that evades jet-energy scale (JES) uncertainties. Indeed, CMS has measured the top quark mass using $B$-hadron decay lengths, but they did not incorporate the energy-peak method. Therefore, mismodeling of top quark transverse momentum remains a large uncertainty in their result. We demonstrate that, using energy-peak methods, this systematic uncertainty can become negligible. We show that with the current LHC data set, a sub-GeV statistical uncertainty on the top quark mass can be attained with this method. To achieve a comparable systematic uncertainty as is true for many methods based on exclusive or semi-inclusive observables using hadrons, we find that the quark-hadron transition needs to be described significantly better than is the case with current fragmentation functions and hadronization models.