# Probing Transverse-Momentum Distributions With Groomed Jets

**Authors:** Daniel Gutierrez-Reyes, Yiannis Makris, Varun Vaidya, Ignazio Scimemi,, and Lorenzo Zoppi

arXiv: 1907.05896 · 2020-01-17

## TL;DR

This paper investigates the transverse momentum spectrum of groomed jets in electron-positron and SIDIS collisions, using soft-drop grooming to reduce non-perturbative effects and probe TMD distributions with high precision.

## Contribution

It introduces a factorization theorem within SCET for groomed jets and performs NNLL resummation of transverse momentum, improving the understanding of TMD evolution and non-perturbative effects.

## Key findings

- Reduced hadronization effects in groomed jets facilitate TMD studies.
- Derived a NNLL resummed factorization theorem for groomed jet transverse momentum.
- Comparison with simulations validates the theoretical framework.

## Abstract

We present the transverse momentum spectrum of groomed jets in di-jet events for $e^+e^-$ collisions and semi-inclusive deep inelastic scattering (SIDIS). The jets are groomed using a soft-drop grooming algorithm which helps in mitigating effects of non-global logarithms and underlying event. At the same time, by reducing the final state hadronization effects, it provides a clean access to the non-perturbative part of the evolution of transverse momentum dependent (TMD) distributions. In SIDIS experiments we look at the transverse momentum of the groomed jet measured w.r.t. the incoming hadron in the Breit frame. Because the final state hadronization effects are significantly reduced, the SIDIS case allows to probe the TMD parton distribution functions. We discuss the sources of non-perturbative effects in the low transverse momentum region including novel (but small) effects that arise due to grooming. We derive a factorization theorem within SCET and resum any large logarithm in the measured transverse momentum up to NNLL accuracy using the $\zeta$-prescription as implemented in the artemide package and provide a comparison with simulations.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/1907.05896/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/1907.05896/full.md

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Source: https://tomesphere.com/paper/1907.05896