Upgrade of ASACUSA's Antihydrogen Detector

TL;DR

This paper describes upgrades to the ASACUSA antihydrogen detector at CERN, improving its timing resolution and readout speed to enhance particle detection and discrimination capabilities in antihydrogen experiments.

Contribution

The paper presents a novel upgrade to the detector's readout system, replacing waveform digitisers with TDCs for faster, more efficient data acquisition.

Findings

Achieved improved timing resolution for particle discrimination.

Enhanced readout speed by two orders of magnitude.

Successfully used the upgraded detector in CERN data taking.

Abstract

The goal of the ASACUSA (Atomic Spectroscopy And Collisions Using Slow Antiprotons) CUSP experiment at CERN's Antiproton Decelerator is to measure the ground state hyperfine splitting of antihydrogen in order to test whether CPT invariance is broken. The ASACUSA hodoscope is a detector consisting of two layers of 32 plastic scintillator bars individually read out by two serially connected silicon photo multipliers (SiPMs) on each end. Two additional layers for position resolution along the beam axis were scintillator fibres, which will now be replaced by scintillating tiles placed onto the existing bars and also read out by SiPMs. If the antiproton of antihydrogen annihilates in the center of the hodoscope, particles (mostly pions) are produced and travel through the various layers of the detector and produce signals. The hodoscope was successfully used during the last data taking period at CERN. The necessary time resolution to discriminate between particles travelling through the detector from outside and particles produced in the center of the detector was achieved by the use of waveform digitisers and software constant fraction discrimination. The disadvantage of this readout scheme was the slow readout speed, which was improved by two orders of magnitude. This was done by omitting the digitisers and replacing them with TDCs reading out the digital time-over-threshold (ToT) signal using leading edge discrimination.