# Performance of missing transverse momentum reconstruction in proton-proton collisions at $\sqrt{s} =$ 13 TeV using the CMS detector

## TL;DR

This paper evaluates the performance of missing transverse momentum reconstruction algorithms in proton-proton collisions at 13 TeV using CMS data, focusing on resolution, scale, and anomalous event studies, with improvements for pileup mitigation.

## Contribution

It introduces and assesses a ${f p}_{
m T}^{
m miss}$ reconstruction algorithm that reduces pileup effects using the pileup per particle identification method.

## Key findings

- The ${f p}_{
m T}^{
m miss}$ resolution and scale are characterized.
- The pileup mitigation algorithm improves ${f p}_{
m T}^{
m miss}$ performance.
- Anomalous ${f p}_{
m T}^{
m miss}$ events are effectively identified.

## Abstract

The performance of missing transverse momentum (${\vec p}_{\mathrm{T}}^\mathrm{miss}$) reconstruction algorithms for the CMS experiment is presented, using proton-proton collisions at a center-of-mass energy of 13 TeV, collected at the CERN LHC in 2016. The data sample corresponds to an integrated luminosity of 35.9 fb$^{-1}$. The results include measurements of the scale and resolution of ${\vec p}_{\mathrm{T}}^\mathrm{miss}$, and detailed studies of events identified with anomalous ${\vec p}_{\mathrm{T}}^\mathrm{miss}$. The performance is presented of a ${\vec p}_{\mathrm{T}}^\mathrm{miss}$ reconstruction algorithm that mitigates the effects of multiple proton-proton interactions, using the "pileup per particle identification" method. The performance is shown of an algorithm used to estimate the compatibility of the reconstructed ${\vec p}_{\mathrm{T}}^\mathrm{miss}$ with the hypothesis that it originates from resolution effects.