Abstract

The Compact Muon Solenoid (CMS) detector is one of two general-purpose detectors that reconstruct the products of high energy particle interactions in the Large Hadron Collider (LHC) at CERN. The silicon pixel detector is the innermost component of the CMS tracking system. The detector which was in operation between 2009 and 2016 has now been replaced with an upgraded one in the beginning of 2017. During the previous shutdown period of the LHC, a prototype readout system and a third disk was inserted into the old forward pixel detector with eight prototype blades constructed using the new digital read-out chips. Testing the performance of these pilot modules enabled us to gain operational experience with the upgraded detector. In this paper, the reconstruction and analysis of the data taken with the new modules are presented including information on the calibration of the reconstruction software. The hit finding efficiency and residual measured with new modules are also shown.

Highlights

  • The Compact Muon Solenoid (CMS) pixel detector [1] was replaced in March 2017 with the ”Phase-1 upgrade” [2] pixel detector

  • The pilot blade modules are made of 2×8 Read-Out Chips (ROCs) arranged in rectangular shapes situated above the silicon sensors

  • Hits are retrieved upon receiving a read-out trigger signal generated by the real-time event-selection system of the CMS detector

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Summary

Introduction

The CMS pixel detector [1] was replaced in March 2017 with the ”Phase-1 upgrade” [2] pixel detector. A prototype system, eight pilot blades (PB) with a new Phase-1 digital read-out scheme, was installed in 2014. The new blades are located in a third disk, next to the existing two disks of the forward pixel detector. These modules enabled us to gain commissioning and operational experience with the Phase-1 detector. Studies verified the concepts of the new read-out and DAQ electronics, as well as, the data-reconstruction with the new sensors. Monte Carlo simulation was used to verify the software [3], while the results of the data reconstruction process are presented in this paper [4]

Cluster and hit positions
Residual and efficiency
Conclusions
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