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Commissioning and Performance of the LHCb Upstream Tracker

This paper presents an overview of the design, commissioning, and performance of the Upstream Tracker, a new high-precision silicon strip detector installed in the LHCb experiment as part of Upgrade I to support charged particle reconstruction in the fully software-based trigger.

Original author: D. Andreou, M. Artuso, J. Bartz, B. Batsukh, A. Beiter, H. Bernstein, S. Blusk, S. Ding, S. Ely, J. Freiler, D. Germann, S. Guerin, B. Khanji, W. Krupa, A. Kuhlman, Z. Li, X. Liang, B. Mack, L. M. Mac
Published 2026-11-06
📖 6 min read🧠 Deep dive

Original author: D. Andreou, M. Artuso, J. Bartz, B. Batsukh, A. Beiter, H. Bernstein, S. Blusk, S. Ding, S. Ely, J. Freiler, D. Germann, S. Guerin, B. Khanji, W. Krupa, A. Kuhlman, Z. Li, X. Liang, B. Mack, L. M. Mackey, P. Manning, E. Minucci, R. Mountain, H. Pham, I. Polyakov, M. Polyakov, M. S. Rudolph, R. S. Sharma, J. Shupperd, T. Skwarnicki, S. Stone, A. Venkateswaran, M. K. Wilkinson, H. Wu, J. Andrew, S. Braun, A. D. Fernez, M. Franco Sevilla, C. Hadjivasiliou, P. M. Hamilton, A. Jawahery, E. Jiang, L. Meyer Garcia, T. O'Bannon, W. Parker, Y. Sun, J. Wimberly, Z. Yang, A. Alessandro, A. Capsoni, A. Carbone, S. Cesare, M. Citterio, S. Coelli, N. Conti, F. DeBenedetti, P. Gandini, C. Mancuso, D. Marangotto, A. Merli, M. Monti, N. Neri, M. Petruzzo, E. Spadaro Norella, G. Tonani, D. Vigano, Z. Wang, F. Zangari, I. Carli, M. Feng, Y. Fu, P. Gorbounov, N. A. Grieser, X. Jiang, Y. Li, Y. Li, K. Liu, S. Liu, Y. Lu, S. Sheng, M. Tobin, J. Wang, X. Yuan, Y. Yuan, Q. Zou, M. Firlej, T. Fiutowski, M. Hubczak, M. Idzik, J. Moron, K. M. Sowa, K. Swientek, T. Szumlak, C. Abellan Beteta, V. Bellée, I. Bezshyiko, V. Denysenko, G. Hijano Mendizabal, M. Peco Regales, N. Serra, O. Steinkamp, L. Villardita, C. A. Aidala, K. R. Mattioli, M. Ramírez García, J. D. Roth, D. M. Shangase, M. Brodski, J. C. Lopes, B. Schmidt, M. Sokoloff, Z. Ren, D. Y. Tou, G. Vouters, Q. Han, G. Wang, J. Wu, X. Zhu, T. Li, X. Wang, Z. Chen, P. Li, F. Lazzari, A. Sergi, F. Zhang, M. van Veghel, A. Oyanguren, J. Zhuo Gao, V. Svintozelskyi, M. De Cian, L. Dufour, V. Kholoimov, P. Hoffmann, V. V. Gligorov

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the author. For technical accuracy, refer to the original paper. Read full disclaimer

Deep within the underground caverns of the Large Hadron Collider at CERN, protons race around a twenty-seven-kilometer ring at nearly the speed of light, colliding head-on to recreate the conditions of the early universe. These collisions are not gentle; they are violent events that shatter particles into showers of new, often short-lived, fragments. To understand the fundamental laws of nature, physicists must catch these fleeting fragments and trace their paths back to the moment of impact. This requires a detector that can see the invisible, recording the trajectory of every charged particle that flies out from the collision point. However, as the collider has become more powerful, the number of collisions happening at once has grown so large that the old ways of sorting this data have become overwhelmed. The challenge is no longer just seeing the particles, but distinguishing the genuine signals from the overwhelming noise of thousands of other particles passing through the same space at the same time.

In response to this challenge, the LHCb experiment, which specializes in studying the subtle differences between matter and antimatter, underwent a major transformation. The team replaced much of their tracking system with a new, highly sensitive device called the Upstream Tracker. This paper details the commissioning and performance of this new detector, which acts as a crucial filter in the experiment's new, fully digital brain. The detector is a massive grid of silicon strips, positioned just before a powerful magnet that bends the paths of charged particles. Its job is to record where these particles pass with extreme precision, allowing computers to reconstruct their paths and calculate their momentum. The success of the entire experiment now depends on this device's ability to operate flawlessly in an environment of intense radiation and high particle density, ensuring that the rare, interesting decays are not lost in a sea of background noise.

The Upstream Tracker is a sophisticated assembly of silicon sensors, arranged in four layers around the beam pipe. Imagine a series of thin, flat panels, each covered in thousands of microscopic strips of silicon, all working together to catch the passage of charged particles. As a particle moves through these layers, it leaves a tiny electrical signal on the strips it crosses. The detector is designed with a specific geometry: some layers have strips running straight up and down, while others are tilted at a slight angle. This arrangement allows the system to pinpoint the exact location of a particle in three-dimensional space. The device is built to withstand the harsh conditions of the collider, where the radiation levels are high enough to damage ordinary electronics. To survive, the sensors are made from special materials and are kept at a very cold temperature, around minus fifteen degrees Celsius, to reduce electrical noise and prevent damage from the constant bombardment of particles.

One of the most critical achievements reported in this study is the detector's ability to handle the sheer volume of data. In the upgraded experiment, the collider produces about thirty million events per second that the first level of the trigger system must analyze, and the detector must process information from every single one of them. The Upstream Tracker is so finely divided that even in the busiest moments, the chance of two particles hitting the same tiny strip at the same time is extremely low. This low level of "clutter" is vital. It allows the computer systems to quickly and accurately match the hits from the new tracker with hits from other parts of the detector, forming a complete picture of a particle's journey. Without this clarity, the computers would be overwhelmed by false connections, creating "ghost" tracks that look real but are actually just random combinations of unrelated signals. The data shows that the detector successfully keeps the noise down, with an average of less than one percent of its strips being hit at any given moment, even during the most intense collisions.

The researchers also spent considerable time ensuring the electronics were perfectly tuned. The silicon strips are read out by custom-made computer chips that convert the tiny electrical signals into digital numbers. These chips needed to be calibrated with extreme care to ensure that the baseline noise was removed and that the timing of the signals was synchronized to the billionth of a second. The team found that by adjusting the temperature and the electrical settings, they could minimize the background noise, making the signals from real particles stand out clearly. They also developed a system to automatically detect and fix errors caused by radiation, which can occasionally flip a bit of data in the computer chips. This self-correcting system works so well that the detector remains stable and reliable, even after months of continuous operation in a high-radiation environment.

When the team tested the detector's performance using real collision data, the results were impressive. The tracker successfully identified the paths of particles with an efficiency of about ninety-nine percent. This means that for almost every particle that passed through the detector, the system correctly recorded its presence. This high level of performance is essential for the experiment's goal of studying rare decays. The paper demonstrates that the new tracker is particularly effective at helping to identify "downstream" tracks, which are particles that decay before reaching the innermost part of the detector. In the past, these particles were difficult to study because the system could not easily connect their fragments. Now, with the help of the Upstream Tracker, the experiment can reconstruct these decays with much greater precision. The data shows that the number of successfully identified decays involving certain strange particles has increased significantly compared to previous runs, opening up new possibilities for discovery.

The success of the Upstream Tracker has allowed the LHCb experiment to reach its design goals. By providing a clear and accurate map of particle paths, the detector enables the computer systems to filter out the vast majority of uninteresting events in real-time, focusing only on the rare and valuable collisions. This capability is what allows the experiment to run at such high speeds without being bogged down by data overload. The paper concludes that the detector is performing exactly as intended, with minimal loss of signal and a high degree of reliability. It has proven to be a robust and essential component of the upgraded system, enabling physicists to explore the frontiers of particle physics with a clarity that was not possible before. The work described here confirms that the new technology is ready to support the next phase of discovery, helping scientists to uncover the secrets of the universe hidden within the collisions of protons.

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