Report from RAMP challenge on fast vertexing

TL;DR

This paper discusses the RAMP challenge on fast primary vertex reconstruction at LHCb, exploring new techniques to handle higher luminosities and data rates for real-time particle physics experiments.

Contribution

It presents the outcomes of a challenge aimed at developing rapid vertexing algorithms suitable for high-luminosity conditions at LHCb.

Findings

Evaluation of various vertexing algorithms under simulated high-luminosity conditions

Identification of promising techniques for real-time vertex reconstruction

Benchmarking of algorithm performance in the RAMP challenge

Abstract

Reconstructing the vertices of primary interactions at the LHCb experiment is an essential part of its online data acquisition sequence. The quest for ever higher rates and luminosities gives raise to new challenges for such algorithms. The LHCb Upgrade detector will start taking data in 2021 at an instantaneous luminosity of $\mathcal{L} = 2 \times 10^{33} cm^{-2} s^{-1}$. A RAMP challenge on fast primary vertex reconstruction using simulated data under such conditions was performed at the RAPID2018 workshop held in November 2018 in Dortmund with the aim of exploring new techniques and ideas to solve this problem.