An Automated Bandwidth Division for the LHCb Upgrade Trigger

TL;DR

This paper presents an automated method to optimally divide bandwidth among trigger algorithms in the LHCb upgrade, enhancing efficiency for physics signals while respecting bandwidth constraints.

Contribution

It introduces a novel automated bandwidth division tool that optimizes trigger selections for multiple physics channels in the LHCb upgrade.

Findings

Optimized trigger selections for 35 algorithms across 80 physics channels.

Achieved equitable bandwidth distribution while maximizing physics signal efficiency.

Demonstrated effectiveness of automation in trigger bandwidth management.

Abstract

The upgraded Large Hadron Collider beauty (LHCb) experiment is the first detector based at a hadron collider using a fully software based trigger. The first `High Level Trigger' stage (HLT1) reduces the event rate from 30 MHz to approximately 1 MHz based on reconstruction criteria from the tracking system, and consists of $\mathcal{O}(100)$ trigger selections implemented on Graphics Processing Units (GPUs). These selections are further refined following the full offline-quality reconstruction at the second stage (HLT2) prior to saving for analysis. An automated bandwidth division has been performed to equitably divide this 1 MHz HLT1 Output Rate (OR) between the signals of interest to the LHCb physics programme. This was achieved by optimising a set of trigger selections that maximise efficiency for signals of interest to LHCb while keeping the total HLT1 readout capped to a maximum. The bandwidth division tool has been used to determine the optimal selection for 35 selection algorithms over 80 characteristic physics channels.