Descriptor: "3105 Instrumentation" - Searchworks@Jio Institute Digital Library Search Results

401 results on '"3105 Instrumentation"'

1. Neuromorphic Edge Computing for Biomedical Applications: Gesture Classification Using EMG Signals

Author: Vitale, Antonio, Donati, Elisa, Germann, Roger, Magno, Michele, University of Zurich, and Vitale, Antonio
Subjects: 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 570 Life sciences, biology, Electrical and Electronic Engineering, Instrumentation, 10194 Institute of Neuroinformatics
Published: 2022
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2. Do We Get What We Need from Clinical Acoustic Voice Measurements?

Author: Brockmann-Bauser, Meike, de Paula Soares, Maria Francisca, University of Zurich, Brockmann-Bauser, Meike, and de Paula Soares, Maria Francisca
Subjects: Fluid Flow and Transfer Processes, 3105 Instrumentation, 1507 Fluid Flow and Transfer Processes, Process Chemistry and Technology, General Engineering, 610 Medicine & health, 10045 Clinic for Otorhinolaryngology, 2500 General Materials Science, Computer Science Applications, 2200 General Engineering, 1706 Computer Science Applications, General Materials Science, 1508 Process Chemistry and Technology, Instrumentation
Abstract: Instrumental acoustic measurements of the human voice have enormous potential to objectively describe pathology and, thereby, to assist clinical treatment decisions. Despite the increasing application and accessibility of technical knowledge and equipment, recent research has highlighted a lack of understanding of physiologic, speech/language-, and culture-related influencing factors. This article presents a critical review of the current state of the art in the clinical application of instrumental acoustic voice quality measurements and points out future directions for improving its applications and dissemination in less privileged populations. The main barriers to this research relate to (a) standardization and reporting of acoustic analysis techniques; (b) understanding of the relation between perceptual and instrumental acoustic results; (c) the necessity to account for natural speech-related covariables, such as differences in speaking voice sound pressure level (SPL) and fundamental frequency f0; (d) the need for a much larger database to understand normal variability within and between voice-disordered and vocally healthy individuals related to age, training, and physiologic factors; and (e) affordable equipment, including mobile communication devices, accessible in various settings. This calls for further research into technical developments and optimal assessment procedures for pathology-specific patient groups.
Published: 2023
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3. Performance of triple-GEM detectors for the CMS Phase-2 upgrade measured in test beam

Author: CMS Muon Group, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2023

4. Improved muon decay simulation with McMule and Geant4

Author: Gurgone, A, Papa, A, Schwendimann, P, Signer, A, Ulrich, Y, Baldini, A M, Cei, F, Chiappini, M, Francesconi, M, Galli, L, Grassi, M, Nicolò, D, Signorelli, G, University of Zurich, and Gurgone, A
Subjects: High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), Nuclear and High Energy Physics, High Energy Physics - Phenomenology (hep-ph), 530 Physics, 3105 Instrumentation, FOS: Physical sciences, 10192 Physics Institute, 3106 Nuclear and High Energy Physics, Instrumentation, High Energy Physics - Experiment
Abstract: The physics programme of the MEG II experiment can be extended with the search for new invisible particles produced in rare muon decays. The hunt for such elusive signals requires accurate simulations to characterise the detector response and estimate the experimental sensitivity. This work presents an improved simulation of muon decay in MEG II, based on McMule and Geant4., Comment: 4 pages, 5 figures, contribution to PM2021, version accepted for publication
Published: 2023
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5. Repeated and On-Demand Intracellular Recordings of Cardiomyocytes Derived from Human-Induced Pluripotent Stem Cells

Author: Jihyun Lee, Tobias Gänswein, Hasan Ulusan, Vishalini Emmenegger, Ardan M. Saguner, Firat Duru, Andreas Hierlemann, University of Zurich, Lee, Jihyun, and Hierlemann, Andreas
Subjects: Fluid Flow and Transfer Processes, 1502 Bioengineering, high-density microelectrode arrays, intracellular recordings, induced pluripotent stem cells, cardiomyocytes, electroporation, Process Chemistry and Technology, 3105 Instrumentation, 1507 Fluid Flow and Transfer Processes, Induced Pluripotent Stem Cells, Drug Evaluation, Preclinical, Bioengineering, 610 Medicine & health, Cardiotoxicity, 10209 Clinic for Cardiology, Humans, Myocytes, Cardiac, 1508 Process Chemistry and Technology, Instrumentation, Microelectrodes
Abstract: Pharmaceutical compounds may have cardiotoxic properties, triggering potentially life-threatening arrhythmias. To investigate proarrhythmic effects of drugs, the patch clamp technique has been used as the gold standard for characterizing the electrophysiology of cardiomyocytes in vitro. However, the applicability of this technology for drug screening is limited, as it is complex to use and features low throughput. Recent studies have demonstrated that 3D-nanostructured electrodes enable to obtain intracellular signals from many cardiomyocytes in parallel; however, the tedious electrode fabrication and limited measurement duration still remain major issues for cardiotoxicity testing. Here, we demonstrate how porous Pt-black electrodes, arranged in high-density microelectrode arrays, can be used to record intracellular-like signals of cardiomyocytes at large scale repeatedly over an extended period of time. The developed technique, which yields highly parallelized electroporations using stimulation voltages around 1 V peak-to-peak amplitude, enabled intracellular-like recordings at high success rates without causing significant alteration in key electrophysiological features. In a proof-of-concept study, we investigated electrophysiological modulations induced by two clinically applied drugs, nifedipine and quinidine. As the obtained results were in good agreement with previously published data, we are confident that the developed technique has the potential to be routinely used in in vitro platforms for cardiotoxicity screening. ISSN:2379-3694
Published: 2022

6. Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement

Author: Chen, Junren, Wu, Chenxi, Indiveri, Giacomo, Payvand, Melika, and University of Zurich
Subjects: 1707 Computer Vision and Pattern Recognition, 1708 Hardware and Architecture, 2208 Electrical and Electronic Engineering, 3105 Instrumentation, 1706 Computer Science Applications, 570 Life sciences, biology, 1702 Artificial Intelligence, 10194 Institute of Neuroinformatics
Published: 2022
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7. Oculomotoric Biometric Identification under the Influence of Alcohol and Fatigue

Author: Makowski, Silvia, Prasse, Paul, Jäger, Lena A, Scheffer, Tobias, and University of Zurich
Subjects: 1707 Computer Vision and Pattern Recognition, 1101 Agricultural and Biological Sciences (miscellaneous), 10105 Institute of Computational Linguistics, 3105 Instrumentation, 410 Linguistics, 000 Computer science, knowledge & systems, 2718 Health Informatics
Published: 2022
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8. Toward speed-of-sound anisotropy quantification in muscle with pulse-echo ultrasound

Author: Naiara Korta Martiartu, Saule Simute, Michael Jaeger, Thomas Frauenfelder, Marga B. Rominger, University of Zurich, and Korta Martiartu, Naiara
Subjects: Acoustics and Ultrasonics, Velocity measurement, muscle, uncertainty quantification, Bayesian inference, longitudinal waves, 610 Medicine & health, Receivers, Muscles, Anisotropic magnetoresistance, Ultrasonic imaging, Probes, Ultrasonic variables measurement, Anisotropy, speed of sound, transverse isotropy, ultrasound, 3102 Acoustics and Ultrasonics, Electrical and Electronic Engineering, Instrumentation, Ultrasonography, 10042 Clinic for Diagnostic and Interventional Radiology, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, Bayes Theorem, Elasticity Imaging Techniques
Abstract: The velocity of ultrasound longitudinal waves (speed of sound) is emerging as a valuable biomarker for a wide range of diseases, including musculoskeletal disorders. Muscles are fiber-rich tissues that exhibit anisotropic behavior, meaning that velocities vary with the wave-propagation direction. Therefore, quantifying anisotropy is essential to improve velocity estimates while providing a new metric related to muscle composition and architecture. For the first time, this work presents a method to estimate speed-of-sound anisotropy in transversely isotropic tissues using pulse-echo ultrasound. We assume elliptical anisotropy and consider an experimental setup with a flat reflector parallel to the linear probe, with the muscle in between. This setup allows us to measure first-arrival reflection traveltimes using multistatic operation. Unknown muscle parameters are the orientation angle of the anisotropy symmetry axis and the velocities along and across this axis. We derive analytical expressions for the nonlinear relationship between traveltimes and anisotropy parameters, including reflector inclinations. These equations are exact for homogeneous media and are useful to estimate the effective average anisotropy in muscles. To analyze the structure of this forward problem, we formulate the inversion statistically using the Bayesian framework. We demonstrate that anisotropy parameters can be uniquely constrained by combining traveltimes from different reflector inclinations. Numerical results from wide-ranging acquisition and anisotropy properties show that uncertainties in velocity estimates are substantially lower than expected velocity differences in the muscle. Thus, our approach could provide meaningful muscle anisotropy estimates in future clinical applications., IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69 (8), ISSN:0885-3010, ISSN:1525-8955
Published: 2022
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9. Neuromorphic implementation of ECG anomaly detection using delay chains

Author: Gerber, Stefan, Steiner, Marc, Maryada, Indiveri, Giacomo, Donati, Elisa, and University of Zurich
Subjects: Signal Processing (eess.SP), 2801 Neuroscience (miscellaneous), 2208 Electrical and Electronic Engineering, 3105 Instrumentation, FOS: Electrical engineering, electronic engineering, information engineering, 570 Life sciences, biology, 2204 Biomedical Engineering, 1702 Artificial Intelligence, 1711 Signal Processing, Electrical Engineering and Systems Science - Signal Processing, 10194 Institute of Neuroinformatics
Abstract: Real-time analysis and classification of bio-signals measured using wearable devices is computationally costly and requires dedicated low-power hardware. One promising approach is to use spiking neural networks implemented using in-memory computing architectures and neuromorphic electronic circuits. However, as these circuits process data in streaming mode without the possibility of storing it in external buffers, a major challenge lies in the processing of spatio-temporal signals that last longer than the time constants present in the network synapses and neurons. Here we propose to extend the memory capacity of a spiking neural network by using parallel delay chains. We show that it is possible to map temporal signals of multiple seconds into spiking activity distributed across multiple neurons which have time constants of few milliseconds. We validate this approach on an ECG anomaly detection task and present experimental results that demonstrate how temporal information is properly preserved in the network activity.
Published: 2022

10. Characterization of irradiated RD53A pixel modules with passive CMOS sensors

Author: Jofrehei, A., Backhaus, M., Baertschi, P., Canelli, F., Glessgen, F., Jin, W., Kilminster, B., Macchiolo, A., Reimers, A., Ristic, B., Wallny, R., University of Zurich, and Jofrehei, A
Subjects: Physics - Instrumentation and Detectors, Physics::Instrumentation and Detectors, 530 Physics, 3105 Instrumentation, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), 10192 Physics Institute, Detectors and Experimental Techniques, 2610 Mathematical Physics, Instrumentation, Mathematical Physics
Abstract: We are investigating the feasibility of using CMOS foundries to fabricate silicon detectors, both for pixels and for large-area strip sensors. The availability of multi-layer routing will provide the freedom to optimize the sensor geometry and the performance, with biasing structures in poly-silicon layers and MIM-capacitors allowing for AC coupling. A prototyping production of strip test-structures and RD53A compatible pixel sensors was recently completed at LFoundry in a 150 nm CMOS process. This paper will focus on the characterization of irradiated and non-irradiated pixel modules, composed by a CMOS passive sensor interconnected to a RD53A chip. The sensors are designed with a pixel cell of 25 × 100 μm2 in case of DC coupled devices and 50 × 50 μm2 for the AC coupled ones. Their performance in terms of charge collection, position resolution, and hit efficiency was studied with measurements performed in the laboratory and with beam tests. The RD53A modules with LFoundry silicon sensors were irradiated to fluences up to 1.0 × 1 0 16 n eq c m 2 ., Journal of Instrumentation, 17 (9), ISSN:1748-0221
Published: 2022

11. Toward a Collective Agenda on AI for Earth Science Data Analysis

Author: Jan Dirk Wegner, Xiao Xiang Zhu, Devis Tuia, Ribana Roscher, Gustau Camps-Valls, Nathan Jacobs, and University of Zurich
Subjects: Signal Processing (eess.SP), FOS: Computer and information sciences, 010504 meteorology & atmospheric sciences, General Computer Science, 530 Physics, Interface (Java), Computer Vision and Pattern Recognition (cs.CV), Earth science, data analysis, Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, earth observation, 02 engineering and technology, 01 natural sciences, Environmental science, Data modeling, FOS: Electrical engineering, electronic engineering, information engineering, Climate science, 1700 General Computer Science, Electrical Engineering and Systems Science - Signal Processing, Electrical and Electronic Engineering, Instrumentation, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, 11476 Digital Society Initiative, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 1900 General Earth and Planetary Sciences, Deep learning, interpretable AI, Remote sensing, artificial intelligence, hybrid models, Earth system science, AI, Remote sensing (archaeology), 10231 Institute for Computational Science, General Earth and Planetary Sciences, Potential game, Discipline
Abstract: In the last years we have witnessed the fields of geosciences and remote sensing and artificial intelligence to become closer. Thanks to both the massive availability of observational data, improved simulations, and algorithmic advances, these disciplines have found common objectives and challenges to advance the modeling and understanding of the Earth system. Despite such great opportunities, we also observed a worrying tendency to remain in disciplinary comfort zones applying recent advances from artificial intelligence on well resolved remote sensing problems. Here we take a position on research directions where we think the interface between these fields will have the most impact and become potential game changers. In our declared agenda for AI on Earth sciences, we aim to inspire researchers, especially the younger generations, to tackle these challenges for a real advance of remote sensing and the geosciences., Comment: In press at IEEE Geoscience and Remote Sensing Magazine
Published: 2021
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12. Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors

Author: Leite, Vanessa R C, Su, Zhe, Whatley, Adrian M, Indiveri, Giacomo, University of Zurich, and Leite, Vanessa R C
Subjects: FOS: Computer and information sciences, 2801 Neuroscience (miscellaneous), 2208 Electrical and Electronic Engineering, 3105 Instrumentation, 570 Life sciences, biology, 2204 Biomedical Engineering, Computer Science - Neural and Evolutionary Computing, 1702 Artificial Intelligence, 1711 Signal Processing, Neural and Evolutionary Computing (cs.NE), 10194 Institute of Neuroinformatics
Abstract: Brain-inspired event-based neuromorphic processing systems have emerged as a promising technology in particular for bio-medical circuits and systems. However, both neuromorphic and biological implementations of neural networks have critical energy and memory constraints. To minimize the use of memory resources in multi-core neuromorphic processors, we propose a network design approach inspired by biological neural networks. We use this approach to design a new routing scheme optimized for small-world networks and, at the same time, to present a hardware-aware placement algorithm that optimizes the allocation of resources for small-world network models. We validate the algorithm with a canonical small-world network and present preliminary results for other networks derived from it, arXiv admin note: substantial text overlap with arXiv:2203.00655
Published: 2022

13. Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery

Author: Tom, Manu, Wu, Tianyu, Baltsavias, Emmanuel, Schindler, Konrad, University of Zurich, and Tom, Manu
Subjects: FOS: Computer and information sciences, VIIRS, Geography, 3105 Instrumentation, 1901 Earth and Planetary Sciences (miscellaneous), Computer Vision and Pattern Recognition (cs.CV), Geography, Planning and Development, Computer Science - Computer Vision and Pattern Recognition, Lake ice monitoring, Semantic segmentation, Remote Sensing, Satellite Image Analysis, Lakes, 10122 Institute of Geography, Machine learning, Satellite image processing, MODIS, 3305 Geography, Planning and Development, Earth and Planetary Sciences (miscellaneous), Earth Observation, 910 Geography & travel, Instrumentation
Abstract: Depleting lake ice is a climate change indicator, just like sea-level rise or glacial retreat. Monitoring Lake Ice Phenology (LIP) is useful because long-term freezing and thawing patterns serve as sentinels to understand regional and global climate change. We report a study for the Oberengadin region of Switzerland, where several small- and medium-sized mountain lakes are located. We observe the LIP events, such as freeze-up, break-up and ice cover duration, across two decades (2000-2020) from optical satellite images. We analyse the time series of MODIS imagery by estimating spatially resolved maps of lake ice for these Alpine lakes with supervised machine learning. To train the classifier we rely on reference data annotated manually based on webcam images. From the ice maps, we derive long-term LIP trends. Since the webcam data are only available for two winters, we cross-check our results against the operational MODIS and VIIRS snow products. We find a change in complete freeze duration of - 0.76 and - 0.89 days per annum for lakes Sils and Silvaplana, respectively. Furthermore, we observe plausible correlations of the LIP trends with climate data measured at nearby meteorological stations. We notice that mean winter air temperature has a negative correlation with the freeze duration and break-up events and a positive correlation with the freeze-up events. Additionally, we observe a strong negative correlation of sunshine during the winter months with the freeze duration and break-up events., PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 90, ISSN:2512-2819, ISSN:2512-2789
Published: 2022

14. A Conditional GAN for Generating Time Series Data for Stress Detection in Wearable Physiological Sensor Data

Author: Clemens Havas, Bernd Resch, David Niederseer, Maximilian Ehrhart, University of Zurich, and Resch, Bernd
Subjects: 1602 Analytical Chemistry, 1303 Biochemistry, Time Factors, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 610 Medicine & health, 3107 Atomic and Molecular Physics, and Optics, 1710 Information Systems, Biochemistry, Atomic and Molecular Physics, and Optics, Analytical Chemistry, Machine Learning, Wearable Electronic Devices, time series GAN, generating measurement data, physiological sensor data, expert evaluation, machine learning, stress classification, 10209 Clinic for Cardiology, Humans, Electrical and Electronic Engineering, Instrumentation, Algorithms
Abstract: Human-centered applications using wearable sensors in combination with machine learning have received a great deal of attention in the last couple of years. At the same time, wearable sensors have also evolved and are now able to accurately measure physiological signals and are, therefore, suitable for detecting body reactions to stress. The field of machine learning, or more precisely, deep learning, has been able to produce outstanding results. However, in order to produce these good results, large amounts of labeled data are needed, which, in the context of physiological data related to stress detection, are a great challenge to collect, as they usually require costly experiments or expert knowledge. This usually results in an imbalanced and small dataset, which makes it difficult to train a deep learning algorithm. In recent studies, this problem is tackled with data augmentation via a Generative Adversarial Network (GAN). Conditional GANs (cGAN) are particularly suitable for this as they provide the opportunity to feed auxiliary information such as a class label into the training process to generate labeled data. However, it has been found that during the training process of GANs, different problems usually occur, such as mode collapse or vanishing gradients. To tackle the problems mentioned above, we propose a Long Short-Term Memory (LSTM) network, combined with a Fully Convolutional Network (FCN) cGAN architecture, with an additional diversity term to generate synthetic physiological data, which are used to augment the training dataset to improve the performance of a binary classifier for stress detection. We evaluated the methodology on our collected physiological measurement dataset, and we were able to show that using the method, the performance of an LSTM and an FCN classifier could be improved. Further, we showed that the generated data could not be distinguished from the real data any longer.
Published: 2022

15. Special issue on 'Sports performance and health'

Author: Jörg Spörri, Matej Supej, University of Zurich, and Supej, Matej
Subjects: telesna aktivnost, physical activity, 610 Medicine & health, 02 engineering and technology, lcsh:Technology, udc:796.01, lcsh:Chemistry, 0202 electrical engineering, electronic engineering, information engineering, 1706 Computer Science Applications, sport performance, General Materials Science, lcsh:QH301-705.5, Instrumentation, Fluid Flow and Transfer Processes, biology, lcsh:T, Athletes, Process Chemistry and Technology, 3105 Instrumentation, 1507 Fluid Flow and Transfer Processes, General Engineering, nastop, šport, Gender studies, health, 021001 nanoscience & nanotechnology, biology.organism_classification, zdravje, lcsh:QC1-999, 2500 General Materials Science, Computer Science Applications, n/a, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, Elite, 2200 General Engineering, 020201 artificial intelligence & image processing, 10046 Balgrist University Hospital, Swiss Spinal Cord Injury Center, lcsh:Engineering (General). Civil engineering (General), 0210 nano-technology, Psychology, 1508 Process Chemistry and Technology, sport, lcsh:Physics, Gold medal
Abstract: Sports performance is primarily perceived to be associated with elite sport, where athletes strive for a place on the podium, with the most prestigious result probably being an Olympic gold medal [...]
Published: 2022

16. Track reconstruction and matching between emulsion and silicon pixel detectors for the SHiP-charm experiment

Author: Ahdida, C, Buonaura, A, Datwyler, A, De Simone, D, Ferrillo, M, Lantwin, O, Owen, P H, Serra, N, Atkin, E, Azorskiy, N, Back, J J, Bagulya, A, Baaltasar Dos Santos, F, Baranov, A, Bardou, F, Barker, G J, Battistin, M, Bauche, J, Bay, A, Bayliss, V, Bencivenni, G, Berdnikov, A Y, Berdnikov, Y A, Bertani, M, Betancourt, C, Bezshyiko, I, Bezshyyko, O, Bick, D, Bieschke, S, Blanco, A, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 2610 Mathematical Physics, Instrumentation, Mathematical Physics
Published: 2022
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17. Joint optimization of radiotherapy treatments involving multiple radiation modalities

Author: Amit Ben Antony Bennan, Silvia Fabiano, Jan Unkelbach, Silvan Mueller, Mark Bangert, and University of Zurich
Subjects: medicine.medical_specialty, Modalities, business.industry, medicine.medical_treatment, 3105 Instrumentation, 610 Medicine & health, General Medicine, 3107 Atomic and Molecular Physics, and Optics, 10044 Clinic for Radiation Oncology, Atomic and Molecular Physics, and Optics, Radiation therapy, Medicine, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, Radiology, business, Instrumentation, Joint (geology)
Published: 2022
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18. Randomized Trial of Feasibility and Preliminary Effectiveness of PerioTabs® on Periodontal Diseases

Author: Alkan, Begum, Özcan, Mutlu, University of Zurich, and Alkan, Begum
Subjects: periodontology, Technology, root planing, non-invasive treatment, QH301-705.5, QC1-999, 610 Medicine & health, antimicrobials, 10068 Clinic of Reconstructive Dentistry, 1706 Computer Science Applications, General Materials Science, Biology (General), QD1-999, Instrumentation, Fluid Flow and Transfer Processes, adjunctive treatment, scaling, 3105 Instrumentation, 1507 Fluid Flow and Transfer Processes, Physics, Process Chemistry and Technology, General Engineering, Engineering (General). Civil engineering (General), 2500 General Materials Science, Computer Science Applications, Chemistry, 2200 General Engineering, TA1-2040, 1508 Process Chemistry and Technology
Abstract: This double-blinded and split-mouth design, randomized feasibility study aimed to assess the efficacy of prophylactic and therapeutic use of a new age NitrAdineTM-based brushing solution (PerioTabs®) on the clinical parameters before and after periodontal therapy. Four subjects were randomly assigned to two treatment groups according to periodontal infection: PerioTabs® and placebo. At the first appointment, a split-mouth scaling was performed in all participants. All oral care instructions concerning the use of effervescent tablets were explained to the participants in detail. The morning after the tablets were finished, a full-mouth scaling was completed in all participants. All parameters were recorded at 0, 11, and 40 days. According to the results, both the therapeutic and prophylactic interventions showed similar impacts on the gingival index and probing depth compared to the placebo in all patients. The bleeding on probing was further reduced at the PerioTabs® group at baseline until day 40 compared to the placebo in the gingivitis patients with both interventions; at both 11 and 40 days in the periodontitis patients receiving the therapeutic intervention; and at baseline to day 40 in the periodontitis group receiving the prophylactic intervention. While the preliminary results of this new-age brushing solution appear to be a promising approach for a future therapy of periodontal diseases, further research on a larger sample size is needed to draw firm conclusions.
Published: 2022
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19. Time Resolution of an Irradiated 3D Silicon Pixel Detector

Author: Christopher Betancourt, Dario De Simone, Gregor Kramberger, Maria Manna, Giulio Pellegrini, Nicola Serra, University of Zurich, and De Simone, Dario
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, silicon detectors, 3D, detector R&D; timing detectors, instrumentation, Instrumentation
Abstract: We report on the measurements of time resolution for double-sided 3D pixel sensors with a single cell of 50 μm × 50 μm and thickness of 285 μm, fabricated at IMB-CNM and irradiated with reactor neutrons from 8 ×1014 1MeV neq/cm2 to 1.0 ×1016 1MeV neq/cm2. The time resolution measurements were conducted using a radioactive source at a temperature of −20 and 20 °C in a bias voltage range of 50–250 V. The reference time was provided by a low gain avalanche detector produced by Hamamatsu. The results are compared to measurements conducted prior to irradiation where a temporal resolution of about 50 ps was measured. These are the first ever timing measurements on an irradiated 3D sensor and which serve as a basis for understanding their performance and to explore the possibility of performing 4D tracking in high radiation environments, such as the innermost tracking layers of future high energy physics experiments.
Published: 2022
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20. Cross-compensation of FET sensor drift and matrix effects in the industrial continuous monitoring of ion concentrations

Author: Josep Maria Margarit-Taule, Roger Escudé-Pujol, Cecilia Jiménez-Jorquera, Miquel Martín-Ezquerra, Shih-Chii Liu, European Commission, Marie Curie International Incoming Fellowship, Swiss National Science Foundation, University of Zurich, and Margarit-Taule, Josep Maria
Subjects: Materials science, 3104 Condensed Matter Physics, Microsensor array, 2506 Metals and Alloys, 02 engineering and technology, FET sensors, 01 natural sciences, law.invention, Compensation (engineering), Coatings and Films, Machine Learning, law, Deep neural networks, Calibration, Miniaturization, Materials Chemistry, Electronic, Continuous ion monitoring, Output impedance, Optical and Magnetic Materials, Electrical and Electronic Engineering, Instrumentation, 2505 Materials Chemistry, 10194 Institute of Neuroinformatics, Artificial neural network, business.industry, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 010401 analytical chemistry, Transistor, Continuous monitoring, 2508 Surfaces, Coatings and Films, Metals and Alloys, 2504 Electronic, Optical and Magnetic Materials, 021001 nanoscience & nanotechnology, Condensed Matter Physics, 6. Clean water, 0104 chemical sciences, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Surfaces, Machine learning, Water quality, Optoelectronics, 570 Life sciences, biology, ISFET, 0210 nano-technology, business
Abstract: Field-effect transistor (FET) sensors are attractive potentiometric (bio)chemical measurement devices because of their fast response, low output impedance, and potential for miniaturization in standard integrated circuit manufacturing technologies. Yet the wide adoption of these sensors for real-world applications is still limited, mainly due to temporal drift and cross-sensitivities that introduce considerable error in the measurements. In this paper, we demonstrate that such non-idealities can be corrected by joint use of an array of FET sensors – selective to target and major interfering ions – with machine learning (ML) methods in order to accurately predict ion concentrations continuously and in the field. We studied the predictive performance of linear regression (LR), support vector regression (SVR), and state-of-art deep neural networks (DNNs) when monitoring pH from combinatorial H+, Na+, and K+ion-sensitive FET (ISFET) sequences of readings collected over a period of 90 consecutive days in real water quality assessment conditions. The proposed ML algorithms were trained against reference online measurements obtained from a commercial pH sensor. Results show a greater capability of DNNs to provide precise pH monitoring for longer than a week, achieving a relative root-mean-square error reduction of 73% over standard two-point sensor calibration methods., The authors acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 747848 and the SNSF-Sinergia WeCare project (No.CRSII5_177255).
Published: 2022
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21. GPU-based optical simulation of the DARWIN detector

Author: Althueser, L, Antunović, B, Aprile, E, Bajpai, D, Baudis, L, Baur, D, Baxter, A L, Bellagamba, L, Biondi, R, Biondi, Y, Bismark, A, Brown, A, Ramírez García, D, Peres, R, Sanchez-Lucas, P, Cuenca-García, J J, Thieme, K, Volta, G, Wittweg, C, Diglio, S, Doerenkamp, M, Eitel, K, Farrell, S, Ferella, A D, Ferrari, C, Findley, C, Fischer, H, Galloway, M, Girard, F, Glade-Beucke, R, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 2610 Mathematical Physics, Instrumentation, Mathematical Physics
Published: 2022
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22. Using scientific-grade CCDs for the direct detection of dark matter with the DAMIC-M experiment

Author: Papadopoulos, Georgios, Kilminster, Ben, Robmann, Peter, Lee, Steven, University of Zurich, and Papadopoulos, Georgios
Subjects: Nuclear and High Energy Physics, 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics, Instrumentation
Published: 2022
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23. A new calibration method for charm jet identification validated with proton-proton collision events at $\sqrt{s}$ =13 TeV

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 2610 Mathematical Physics
Published: 2022

24. CMS ECAL upgrade for precision timing and energy measurements at the High-Luminosity LHC

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022

25. Characterization of timing and spacial resolution of novel TI-LGAD structures before and after irradiation

Author: Senger, Matias, Bisht, A, Borghi, Giacomo, Boscardin, Maurizio, Centis Vignali, Matteo, Ficorella, F, Ali, O Hammad, Kilminster, Ben, Macchiolo, A, Paternoster, Giovanni, University of Zurich, and Senger, Matias
Subjects: WP6, Nuclear and High Energy Physics, High Energy Physics - Experiment (hep-ex), Physics - Instrumentation and Detectors, 530 Physics, 3105 Instrumentation, FOS: Physical sciences, 10192 Physics Institute, Instrumentation and Detectors (physics.ins-det), 3106 Nuclear and High Energy Physics, Instrumentation, High Energy Physics - Experiment
Abstract: The characterization of spacial and timing resolution of the novel Trench Isolated LGAD (TI-LGAD) technology is presented. This technology has been developed at FBK with the goal of achieving 4D pixels, where an accurate position resolution is combined in a single device with the precise timing determination for Minimum Ionizing Particles (MIPs). In the TI-LGAD technology, the pixelated LGAD pads are separated by physical trenches etched in the silicon. This technology can reduce the interpixel dead area, mitigating the fill factor problem. The TI-RD50 production studied in this work is the first one of pixelated TI-LGADs. The characterization was performed using a scanning TCT setup with an infrared laser and a90Sr source setup.
Published: 2022
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26. High-precision luminosity instrumentation for the CMS detector at the HL-LHC

Author: CMS Collaboration, Auzinger, Georg, Canelli, Maria Florencia, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, De Wit, Adinda, Del Burgo, Riccardo, Heikkilä, Jaana K, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius Massami, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, University of Zurich, and Auzinger, Georg
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022
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27. Silicon sensors for the Phase-2 upgrade of the CMS Outer Tracker; status and early results from the production phase

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022
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28. FPGA Implementation of An Event-driven Saliency-based Selective Attention Model

Author: Asgari, Hajar, Risi, Nicoletta, Indiveri, Giacomo, and University of Zurich
Subjects: 2801 Neuroscience (miscellaneous), 2208 Electrical and Electronic Engineering, 3105 Instrumentation, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, 570 Life sciences, biology, 2204 Biomedical Engineering, 1702 Artificial Intelligence, 1711 Signal Processing, Electrical Engineering and Systems Science - Image and Video Processing, 10194 Institute of Neuroinformatics
Abstract: Artificial vision systems of autonomous agents face very difficult challenges, as their vision sensors are required to transmit vast amounts of information to the processing stages, and to process it in real-time. One first approach to reduce data transmission is to use event-based vision sensors, whose pixels produce events only when there are changes in the input. However, even for event-based vision, transmission and processing of visual data can be quite onerous. Currently, these challenges are solved by using high-speed communication links and powerful machine vision processing hardware. But if resources are limited, instead of processing all the sensory information in parallel, an effective strategy is to divide the visual field into several small sub-regions, choose the region of highest saliency, process it, and shift serially the focus of attention to regions of decreasing saliency. This strategy, commonly used also by the visual system of many animals, is typically referred to as ``selective attention''. Here we present a digital architecture implementing a saliency-based selective visual attention model for processing asynchronous event-based sensory information received from a DVS. For ease of prototyping, we use a standard digital design flow and map the architecture on an FPGA. We describe the architecture block diagram highlighting the efficient use of the available hardware resources demonstrated through experimental results exploiting a hardware setup where the FPGA interfaced with the DVS camera., Comment: 5 pages, 5 figures
Published: 2022
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29. Response of a CMS HGCAL silicon-pad electromagnetic calorimeter prototype to 20300 GeV positrons

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 2610 Mathematical Physics
Published: 2022
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30. Rapid Bacteria Detection from Patients' Blood Bypassing Classical Bacterial Culturing

Author: François Huber, Hans Peter Lang, Stefanie Heller, Julia Anna Bielicki, Christoph Gerber, Ernst Meyer, Adrian Egli, University of Zurich, and Huber, François
Subjects: 1602 Analytical Chemistry, Bacteria, 10179 Institute of Medical Microbiology, 3105 Instrumentation, Clinical Biochemistry, Biomedical Engineering, 2204 Biomedical Engineering, Bacteremia, 610 Medicine & health, General Medicine, 1308 Clinical Biochemistry, Analytical Chemistry, bacteremia, sepsis, nanomechanical biosensors, cantilevers, bacterial infections, total RNA, blood samples, rapid sensitive diagnostics, RNA, Ribosomal, 16S, Sepsis, Escherichia coli, 1305 Biotechnology, Humans, 570 Life sciences, biology, 2201 Engineering (miscellaneous), Instrumentation, Engineering (miscellaneous), Edetic Acid, Biotechnology
Abstract: Sepsis is a life-threatening condition mostly caused by a bacterial infection resulting in inflammatory reaction and organ dysfunction if not treated effectively. Rapid identification of the causing bacterial pathogen already in the early stage of bacteremia is therefore vital. Current technologies still rely on time-consuming procedures including bacterial culturing up to 72 h. Our approach is based on ultra-rapid and highly sensitive nanomechanical sensor arrays. In measurements we observe two clearly distinguishable distributions consisting of samples with bacteria and without bacteria respectively. Compressive surface stress indicates the presence of bacteria. For this proof-of-concept, we extracted total RNA from EDTA whole blood samples from patients with blood-culture-confirmed bacteremia, which is the reference standard in diagnostics. We determined the presence or absence of bacterial RNA in the sample through 16S-rRNA hybridization and species-specific probes using nanomechanical sensor arrays. Via both probes, we identified two clinically highly-relevant bacterial species i.e., Escherichia coli and Staphylococcus aureus down to an equivalent of 20 CFU per milliliter EDTA whole blood. The dynamic range of three orders of magnitude covers most clinical cases. We correctly identified all patient samples regarding the presence or absence of bacteria. We envision our technology as an important contribution to early and sensitive sepsis diagnosis directly from blood without requirement for cultivation. This would be a game changer in diagnostics, as no commercial PCR or POCT device currently exists who can do this.
Published: 2022
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31. Characterization of planar and 3D silicon pixel sensors for the high luminosity phase of the CMS experiment at LHC

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022
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32. The upgraded low-background germanium counting facility Gator for high-sensitivity $γ$-ray spectrometry

Author: Gabriela R. Araujo, Laura Baudis, Yanina Biondi, Alexander Bismark, Michelle Galloway, University of Zurich, Araujo, Gabriela R, and Bismark, Alexander
Subjects: Physics - Instrumentation and Detectors, 530 Physics, 3105 Instrumentation, FOS: Physical sciences, 10192 Physics Institute, Instrumentation and Detectors (physics.ins-det), 2610 Mathematical Physics, Instrumentation, Mathematical Physics
Abstract: We describe the upgrade and performance of the high-purity germanium counting facility Gator, which is dedicated to low-background γ-ray spectrometry. Gator is operated at the Gran Sasso Underground Laboratory in Italy, at an average depth of 3600 meter water equivalent, and employed for material screening and selection in ultra-low background, rare-event search experiments in astroparticle physics. The detector is equipped with a passive shield made of layers of copper, lead and polyethylene, and the sample cavity is purged with gaseous nitrogen maintained at positive pressure for radon suppression. After upgrading its enclosure, the background rate is (82.0 ± 0.7) counts/(kg·day) in the energy region 100 keV to 2700 keV, a 20% reduction compared to the previously reported rate. We show the stability of various operation parameters as a function of time. We also summarize the sample analysis procedure, and demonstrate Gator's sensitivity by examining one material sample, a candidate photosensor for the DARWIN experiment.
Published: 2022
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33. The CMS high granularity calorimeter for the High Luminosity LHC

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022

34. Phase 1 upgrade of the CMS Hadron Barrel Calorimeter

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022
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35. Fully automated breast segmentation on spiral breast computed tomography images

Author: Shim, Sojin, Cester, Davide, Ruby, Lisa, Bluethgen, Christian, Marcon, Magda, Berger, Nicole, Unkelbach, Jan, Boss, Andreas, University of Zurich, and Shim, Sojin
Subjects: Radiation, 10042 Clinic for Diagnostic and Interventional Radiology, 3105 Instrumentation, Breast Neoplasms, 610 Medicine & health, 10044 Clinic for Radiation Oncology, 3108 Radiation, Humans, 2741 Radiology, Nuclear Medicine and Imaging, Female, Radiology, Nuclear Medicine and imaging, Breast, Tomography, X-Ray Computed, Instrumentation, Algorithms, Breast Density
Abstract: The quantification of the amount of the glandular tissue and breast density is important to assess breast cancer risk. Novel photon-counting breast computed tomography (CT) technology has the potential to quantify them. For accurate analysis, a dedicated method to segment the breast components-the adipose and glandular tissue, skin, pectoralis muscle, skinfold section, rib, and implant-is required. We propose a fully automated breast segmentation method for breast CT images.The framework consists of four parts: (1) investigate, (2) segment the components excluding adipose and glandular tissue, (3) assess the breast density, and (4) iteratively segment the glandular tissue according to the estimated density. For the method, adapted seeded watershed and region growing algorithm were dedicatedly developed for the breast CT images and optimized on 68 breast images. The segmentation performance was qualitatively (five-point Likert scale) and quantitatively (Dice similarity coefficient [DSC] and difference coefficient [DC]) demonstrated according to human reading by experienced radiologists.The performance evaluation on each component and overall segmentation for 17 breast CT images resulted in DSCs ranging 0.90-0.97 and in DCs 0.01-0.08. The readers rated 4.5-4.8 (5 highest score) with an excellent inter-reader agreement. The breast density varied by 3.7%-7.1% when including mis-segmented muscle or skin.The automatic segmentation results coincided with the human expert's reading. The accurate segmentation is important to avoid the significant bias in breast density analysis. Our method enables accurate quantification of the breast density and amount of the glandular tissue that is directly related to breast cancer risk.
Published: 2022
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36. Validation of Non-Restrictive Inertial Gait Analysis of Individuals with Incomplete Spinal Cord Injury in Clinical Settings

Author: Haji Hassani, Roushanak, Willi, Romina, Rauter, Georg, Bolliger, Marc, Seel, Thomas, University of Zurich, and Seel, Thomas
Subjects: 1602 Analytical Chemistry, 1303 Biochemistry, Knee Joint, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 610 Medicine & health, 3107 Atomic and Molecular Physics, and Optics, 1710 Information Systems, Biochemistry, Atomic and Molecular Physics, and Optics, Biomechanical Phenomena, Analytical Chemistry, inertial measurement units, optical motion capture, range of motion, temporal gait parameters, inertial gait analysis, incomplete spinal cord injury, validation, clinical gait assessment, Humans, 10046 Balgrist University Hospital, Swiss Spinal Cord Injury Center, ddc:620, Electrical and Electronic Engineering, Gait Analysis, Gait, Instrumentation, Spinal Cord Injuries
Abstract: Inertial Measurement Units (IMUs) have gained popularity in gait analysis and human motion tracking, and they provide certain advantages over stationary line-of-sight-dependent Optical Motion Capture (OMC) systems. IMUs appear as an appropriate alternative solution to reduce dependency on bulky, room-based hardware and facilitate the analysis of walking patterns in clinical settings and daily life activities. However, most inertial gait analysis methods are unpractical in clinical settings due to the necessity of precise sensor placement, the need for well-performed calibration movements and poses, and due to distorted magnetometer data in indoor environments as well as nearby ferromagnetic material and electronic devices. To address these limitations, recent literature has proposed methods for self-calibrating magnetometer-free inertial motion tracking, and acceptable performance has been achieved in mechanical joints and in individuals without neurological disorders. However, the performance of such methods has not been validated in clinical settings for individuals with neurological disorders, specifically individuals with incomplete Spinal Cord Injury (iSCI). In the present study, we used recently proposed inertial motion-tracking methods, which avoid magnetometer data and leverage kinematic constraints for anatomical calibration. We used these methods to determine the range of motion of the Flexion/Extension (F/E) hip and Abduction/Adduction (A/A) angles, the F/E knee angles, and the Dorsi/Plantar (D/P) flexion ankle joint angles during walking. Data (IMU and OMC) of five individuals with no neurological disorders (control group) and five participants with iSCI walking for two minutes on a treadmill in a self-paced mode were analyzed. For validation purposes, the OMC system was considered as a reference. The mean absolute difference (MAD) between calculated range of motion of joint angles was 5.00°, 5.02°, 5.26°, and 3.72° for hip F/E, hip A/A, knee F/E, and ankle D/P flexion angles, respectively. In addition, relative stance, swing, double support phases, and cadence were calculated and validated. The MAD for the relative gait phases (stance, swing, and double support) was 1.7%, and the average cadence error was 0.09 steps/min. The MAD values for RoM and relative gait phases can be considered as clinically acceptable. Therefore, we conclude that the proposed methodology is promising, enabling non-restrictive inertial gait analysis in clinical settings.
Published: 2022
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37. Identification of hadronic tau lepton decays using a deep neural network

Author: CMS Collaboration, Amsler, Claude, Canelli, Maria Florencia, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Brzhechko, Danyyl, Cormier, Kyle, De Wit, Adinda, Del Burgo, Riccardo, Heikkilä, Jaana K, Huwiler, Marc, Jin, Weijie, Leontsinis, Stefanos, Jofrehei, Arash, Liechti, Sascha P, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius Massami, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 2610 Mathematical Physics
Published: 2022
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38. Wafer-level testing of the readout chip of the CMS Inner Tracker for HL-LHC

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022

39. Eigenbehaviour as an Indicator of Cognitive Abilities

Author: Botros, Angela A, Schuetz, Narayan, Röcke, Christina, Weibel, Robert, Martin, Mike, Müri, René M, Nef, Tobias, University of Zurich, and Nef, Tobias
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, 1602 Analytical Chemistry, 1303 Biochemistry, 10093 Institute of Psychology, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 610 Medicine & health, UFSP13-4 Dynamics of Healthy Aging, 3107 Atomic and Molecular Physics, and Optics, 1710 Information Systems, Biochemistry, Machine Learning (cs.LG), Analytical Chemistry, 10122 Institute of Geography, Atomic and Molecular Physics, 910 Geography & travel, Electrical and Electronic Engineering, and Optics, 150 Psychology, Instrumentation
Abstract: With growing use of machine learning algorithms and big data in health applications, digital measures, such as digital biomarkers, have become highly relevant in digital health. In this paper, we focus on one important use case, the long-term continuous monitoring of cognitive ability in older adults. Cognitive ability is a factor both for long-term monitoring of people living alone as well as a relevant outcome in clinical studies. In this work, we propose a new potential digital biomarker for cognitive abilities based on location eigenbehaviour obtained from contactless ambient sensors. Indoor location information obtained from passive infrared sensors is used to build a location matrix covering several weeks of measurement. Based on the eigenvectors of this matrix, the reconstruction error is calculated for various numbers of used eigenvectors. The reconstruction error in turn is used to predict cognitive ability scores collected at baseline, using linear regression. Additionally, classification of normal versus pathological cognition level is performed using a support-vector machine. Prediction performance is strong for high levels of cognitive ability but grows weaker for low levels of cognitive ability. Classification into normal and older adults with mild cognitive impairment, using age and the reconstruction error, shows high discriminative performance with an ROC AUC of 0.94. This is an improvement of 0.08 as compared with a classification with age only. Due to the unobtrusive method of measurement, this potential digital biomarker of cognitive ability can be obtained entirely unobtrusively-it does not impose any patient burden. In conclusion, the usage of the reconstruction error is a strong potential digital biomarker for binary classification and, to a lesser extent, for more detailed prediction of inter-individual differences in cognition.
Published: 2022
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40. Beam test performance of a prototype module with Short Strip ASICs for the CMS HL-LHC tracker upgrade

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 2610 Mathematical Physics
Published: 2022
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41. Multi-Modal X-ray Imaging and Analysis for Characterization of Urinary Stones

Author: Saghamanesh, Somayeh, Richter, Henning, Neels, Antonia, Zboray, Robert, University of Zurich, Saghamanesh, Somayeh, and Zboray, Robert
Subjects: Fluid Flow and Transfer Processes, 3105 Instrumentation, 1507 Fluid Flow and Transfer Processes, Process Chemistry and Technology, General Engineering, 610 Medicine & health, 2500 General Materials Science, Computer Science Applications, 11404 Department of Clinical Diagnostics and Services, 2200 General Engineering, 1706 Computer Science Applications, General Materials Science, 1508 Process Chemistry and Technology, Instrumentation
Published: 2022
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42. Topographic mapping with back-projection tomography and geocoded polarimetric SAR images

Author: Méndez-Domínguez, Elías, Small, David, Henke, Daniel, University of Zurich, and VDE ITG
Subjects: 10122 Institute of Geography, 3105 Instrumentation, 1711 Signal Processing, 910 Geography & travel
Published: 2022
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43. An Umbrella Review on Low-Abrasive Air Powder Water Jet Technology in Periodontitis and Peri-Implantitis Patients

Author: Christian R. Hatz, Tobias M. Janson, Alex Solderer, Klaus-Dieter Bastendorf, Patrick R. Schmidlin, Chun Ching Liu, University of Zurich, and Schmidlin, Patrick R
Subjects: Fluid Flow and Transfer Processes, 3105 Instrumentation, 1507 Fluid Flow and Transfer Processes, Process Chemistry and Technology, General Engineering, 610 Medicine & health, 2500 General Materials Science, Computer Science Applications, 10066 Clinic of Conservative and Preventive Dentistry, 2200 General Engineering, 1706 Computer Science Applications, General Materials Science, 1508 Process Chemistry and Technology, Instrumentation
Abstract: This umbrella review was conducted to assess the existing literature and scientific evidence on air powder water jet technology (APWJT) in periodontal and peri-implantitis therapy. A systematic literature search for systematic reviews and meta-analyses of the last decade on the use of APWJT in periodontitis and implant patients was performed in the databases of MEDLINE/Ovid, Embase, Cochrane library and Scopus. An additional hand search on PubMed and Google Scholar was conducted. Ten articles that fit the inclusion criteria were selected after the full-text screening. Two systematic reviews, including one with a meta-analysis, investigated the use of APWJT in active periodontal therapy. The use of APWJT as an adjunct to conventional scaling and root planing (SRP) in active periodontal treatment showed improved results in the test group. Six articles, including two with a meta-analysis, reported on the use of APWJT as a stand-alone therapy or as an adjunct in supportive periodontal therapy. Similarly significant improved results were reported for the use of APWJT. Regarding the active treatment of peri-implant mucositis and peri-implantitis, four systematic reviews could not show an improved clinical outcome when APWJT was used as an adjunct to conventional treatment measures. Furthermore, one article investigated APWJT as a stand-alone therapy or as an adjunct in supportive peri-implant mucositis and peri-implantitis therapy. In systematic reviews that also investigated patient perception, APWJT was generally well-tolerated by the patient. Within the limitations of this umbrella review, it can be concluded that the use of APWJT with low-abrasive powders such as glycine, erythritol or trehalose as an adjunct in active periodontitis therapy shows similar clinical results compared to conventional SRP alone. In surgical peri-implantitis treatment, APWJT can be used adjunctively. It could be considered that the use of APWJT in supportive periodontal treatment results in a comparable clinical outcome and an enhanced patient perception, as well as a shorter clinical time.
Published: 2022
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44. Strategies and performance of the CMS silicon tracker alignment during LHC Run 2

Author: Yerevan Physics Institute, Yerevan, Tumasyan Institut für Hochenergiephysik, Armenia A., Vienna, Adam, Austria W., Andrejkovic, J. W., Bergauer, T., Blöch, D., Chatterjee, S., Dragicevic, M., Escalante Del Valle, A., Frühwirth1, R., Hinger, V., Jeitler1, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck1, J., Schöfbeck, R., Schwarz, D., Steininger, H., Templ, S., Waltenberger, W., Wulz1 Institute for Nuclear Problems, C. -E., Minsk, Chekhovsky, Belarus V., Litomin, A., Makarenko Universiteit Antwerpen, V., Antwerpen, Beaumont, Belgium W., Darwish2, M. R., De Wolf, E. A., Janssen, T., Kello3, T., Lelek, A., Rejeb Sfar, H., Van Mechelen, P., Van Putte, S., Van Remortel Vrije Universiteit Brussel, N., Brussel, Blekman, Belgium F., Bols, E. S., D’Hondt, J., Delcourt, M., El Faham, H., Lowette, S., Moortgat, S., Morton, A., Muller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Van Mulders Université Libre de Bruxelles, P., Bruxelles, Allard, Belgium Y., Beghin, D., Bilin, B., Clerbaux, B., De Lentdecker, G., Deng, W., Favart, L., Grebenyuk, A., Hohov, D., Kalsi, A. K., Khalilzadeh, A., Lee, K., Mahdavikhorrami, M., Makarenko, I., Moureaux, L., Pétré, L., Popov, A., Postiau, N., Robert, F., Song, Z., Starling, E., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Vannerom, D., Wezenbeek, L., Yang Ghent University, Y., Ghent, Cornelis, Belgium T., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Niedziela, M., Roskas, C., Samalan, A., Skovpen, K., Tytgat, M., Ver- massen, B., Vit Université Catholique de Louvain, M., Louvain-la-Neuve, Benecke, Belgium A., Bethani, A., Bruno, G., Bury, F., Caputo, C., David, P., Deblaere, A., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Mondal, K., Prisciandaro, J., Szilasi, N., Taliercio, A., Teklishyn, M., Tran, T. T., Vischia, P., Wertz Centro Brasileiro de Pesquisas Fisicas, S., Rio de Janeiro, Alves, Brazil G. A., Hensel, C., Moraes Universidade do Estado do Rio de Janeiro, A., Aldá Júnior, Brazil W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato4, J., Da Costa, E. M., Da Silveira5, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Matos Figueiredo, D., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Rebello Teles, P., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Torres Da Silva De Araujo6, F., Vilela Pereira Universidade Estadual Paulista (a), A., Universidade Federal do ABC (b), São, Paulo, Bernardes5, Brazil C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gre- gores, E. M., Lemos, D. S., Mercadante, P. G., Novaes, S. F., and Methods in Physics Research, Sandra S. Padula 36 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Aleksandrov, Bulgaria A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov University of Sofia, G., Dimitrov, Bulgaria A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov Beihang University, A., Beijing, Cheng, China T., Javaid7, T., Mittal, M., Wang3, H., Yuan Department of Physics, L., Tsinghua, University, Ahmad, China M., Bauer, G., Dozen8, C., Hu, Z., Martins9, J., Wang, Y., Yi10, K., 11 Institute of High Energy Physics, Chapon, China E., Chen7, G. M., Chen7, H. S., Chen, M., Iemmi, F., Kapoor, A., Leggat, D., Liao, H., Liu7, Z. -A., Milosevic, V., Monti, F., Sharma, R., Tao, J., Thomas-Wilsker, J., Wang, J., Zhang, H., Zhao State Key Laboratory of Nuclear Physics and Technology, J., Peking Uni- versity, Agapitos, China A., An, Y., Ban, Y., Chen, C., Levin, A., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Wang, D., Xiao Sun Yat-Sen University, Q. Wang12 J., Guangzhou, China M., Lu, You Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University, Z., Shanghai, Gao3, China X., Okawa Zhejiang University, H., Hangzhou, China, Zhejiang, Lin, China Z., Xiao Universidad de Los Andes, M., Bogota, Avila, Colombia C., Cabrera, A., Florez, C., Fraga Universidad de Antioquia, J., Medellin, Mejia Guisao, Colombia J., Ramirez, F., Ruiz Alvarez, J. D., Salazar González University of Split, C. A., Faculty of Electrical Engineering, Mechanical Engi- neering and Naval Architecture, Split, Giljanovic, Croatia D., Godinovic, N., Lelas, D., Puljak University of Split, I., Faculty of Science, Antunovic, Croatia Z., Kovac, M., Sculac Institute Rudjer Boskovic, T., Zagreb, Brigljevic, Croatia V., Ferencek, D., Majumder, D., Mishra, S., Roguljic, M., Starodumov13, A., Susa University of Cyprus, T., Nicosia, Attikis, Cyprus A., Christoforou, K., Erodotou, E., Ioannou, A., Kole, G., Kolosova, M., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka Charles University, H., Prague, Finger14, Czech Republic M., M. Finger Jr., 14, Kveton Escuela Politecnica Nacional, A., Quito, Ayala Universidad San Francisco de Quito, Ecuador E., Carrera Jarrin Academy of Scientific Research and Technology of the Arab Republic of Egypt, Ecuador E., Egyptian Network of High Energy Physics, Cairo, Abdalla15, Egypt H., Assran16, Y., 17 Center for High Energy Physics (CHEP-FU), Fayoum, University, El-, Fayoum, Mahmoud, Egypt M. A., Mohammed National Institute of Chemical Physics and Biophysics, Y., Tallinn, Ahmed18, Estonia I., Bhowmik, S., Dewanjee, R. K., Ehataht, K., Kadastik, M., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken Department of Physics, C., University of Helsinki, Helsinki, Eerola, Finland P., Forthomme, L., Kirschenmann, H., Osterberg, K., Vouti- lainen Helsinki Institute of Physics, M., Bharthuar, Finland S., Brücken, E., Garcia, F., Havukainen, J., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Ott, J., Siikonen, H., Tuominen, E., Tuominiemi Lappeenranta University of Technology, J., Lappeenranta, Luukka, Finland P., Petrow, H., Tuuva IRFU, T., Cea, Université, Paris-Saclay, Gif-sur-Yvette, Amendola, France C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Givernaud, A., Gras, P., Hamel de Monchenault, G., Jarry, P., Lenzi, B., Locci, E., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro19, A., Titov, M., Yu Laboratoire Leprince-Ringuet, G. B., Cnrs/in2p3, Ecole, Polytechnique, Insti- tut Polytechnique de Paris, Palaiseau, Ahuja, France S., Beaudette, F., Bonanomi, M., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Davignon, O., Diab, B., Falmagne, G., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Kucher, I., Motta, J., Nguyen, M., Ochando, C., Paganini, P., Rembser, J., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Zabi, A., Zghiche Université de Strasbourg, A., Cnrs, IPHC UMR 7178, Strasbourg, Agram20, France J. -L., Andrea, J., Apparu, D., Bloch, D., Bonnin, C., Bourgatte, G., Brom, J. -M., Chabert, E. C., Charles, L., Collard, C., Dangelser, E., Darej, D., Fontaine20, J. -C., Goerlach, U., Grimault, C., Gross, L., Haas, C., Krauth, M., Le Bihan, A. -C., Nibigira, E., Ollivier-henry, N., Silva Jiménez, E., Van Hove Institut de Physique des 2 Infinis de Lyon (IP2I ), P., Villeurbanne, Asilar, France E., Baulieu, G., Beauceron, S., Bernet, C., Boudoul, G., Camen, C., Caponetto, L., Carle, A., Chanon, N., Contardo, D., Dené, P., Depasse, P., Dupasquier, T., El Mamouni, H., Fay, J., Galbit, G., Gascon, S., Gouze- vitch, M., Ille, B., Laktineh, I. B., Lattaud, H., Lesauvage, A., Lethuillier, M., Lumb, N., Mirabito, L., Nodari, B., Perries, S., Shchablo, K., Sordini, V., Torterotot, L., Touquet, G., Vander Donckt, M., Viret Georgian Technical University, S., Tbilisi, Lomidze, Georgia I., Toriashvili21, T., Tsamalaidze14 RWTH Aachen University, Z., Physikalisches Institut, I., Aachen, Autermann, Germany C., Botta, V., Feld, L., Karpinski, W., Kiesel, M. K., Klein, K., Lipinski, M., Louis, D., Meuser, D., Pauls, A., Pierschel, G., Rauch, M. P., Röwert, N., Schomakers, C., Schulz, J., Teroerde, M., Wlochal RWTH Aachen University, M., Physikalisches Institut A, Iii., Dodonova, Ger- many A., Eliseev, D., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Mastrolorenzo, L., and Methods in Physics Research, M. 37 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 Merschmeyer, Meyer, A., Mocellin, G., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Pook, T., Pozdnyakov, A., Rath, Y., Reithler, H., Roemer, J., Schmidt, A., Schuler, S. C., Sharma, A., Vigilante, L., Wiedenbeck, S., Zaleski RWTH Aachen University, S., Physikalisches Institut B, Iii., Dziwok, Ger- many C., Flügge, G., Haj Ahmad22, W., Hlushchenko, O., Kress, T., Nowack, A., Pistone, C., Pooth, O., Roy, D., Sert, H., Stahl18, A., Ziemons, T., Zotz Deutsches Elektronen-Synchrotron, A., Hamburg, Aarup Petersen, Germany H., Aldaya Martin, M., Asmuss, P., Baxter, S., Bayat- makou, M., Behnke, O., Bermúdez Martínez, A., Bertsche, D., Bhattacharya, S., Bin Anuar, A. A., Borras23, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Consuegra Rodríguez, S., Correia Silva, G., Danilov, V., De Silva, M., Didukh, L., Domínguez Damiani, D., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo24, E., Geiser, A., Giraldi, A., Grados Luyando, J. M., Grohsjean, A., Guthoff, M., Jafari25, A., Jomhari, N. Z., Jung, H., Kasem23, A., Kasemann, M., Kaveh, H., Kleinwort, C., Krücker, D., Lange, W., Lidrych, J., Lipka, K., Lohmann26, W., Mankel, R., Maser, H., Melzer-Pellmann, I. -A., Mendizabal Morentin, M., Metwally, J., Meyer, A. B., Meyer, M., Mittag, G., Mnich, J., Muhl, C., Mussgiller, A., Otarid, Y., Pérez Adán, D., Pitzl, D., Raspereza, A., Reichelt, O., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Saibel, A., Savitskyi, M., Scham27, M., Scheurer, V., Schütze, P., Schwanenberger24, C., Shchedrolosiev, M., Shevchenko, R., Sosa Ricardo, R. E., Stafford, D., Stever, R., Tonon, N., Van De Klundert, M., Velyka, A., Walsh, R., Walter, D., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Zuber University of Hamburg, A., Aggleton, Germany R., Albrecht, S., Bein, S., Benato, L., Biskop, H., Buhmann, P., Connor, P., De Leo, K., Eich, M., Feindt, F., Fröhlich, A., Garbers, C., Garutti, E., Gunnellini, P., Hajheidari, M., Haller, J., Hinzmann, A., Jabusch, H. R., Kasieczka, G., Klanner, R., Kogler, R., Kramer, T., Kutzner, V., Lange, J., Lange, T., Lobanov, A., Malara, A., Martens, S., Mrowietz, M., Niemeyer, C. E. N., Nigamova, A., Nissan, Y., Pena Rodriguez, K. J., Rieger, O., Schleper, P., Schröder, M., Schwandt, J., Sonneveld, J., Stadie, H., Steinbrück, G., Tews, A., Vormwald, B., Wellhausen, J., Zoi Karlsruher Institut fuer Technologie, I., Karlsruhe, Ardila-Perez, Germany L. E., Balzer, M., Barvich, T., Bechtel, J., Blank, T., Brom- mer, S., Burkart, M., Butz, E., Caselle, M., Caspart, R., Chwalek, T., De Boer†, W., Dierlamm, A., Droll, A., El Morabit, K., Faltermann, N., Giffels, M., Gosewisch, J. o., Gottmann, A., Hartmann18, F., Heidecker, C., Husemann, U., Keicher, P., Koppenhofer, R., Maier, S., Metzler, M., Mitra, S., Müller, Th., Neufeld, M., Neukum, M., Nürnberg, A., Quast, G., Rabbertz, K., Rauser, J., Sander, O., Savoiu, D., Schell, D., Schnepf, M., Seith, D., Shvetsov, I., Simonis, H. J., Stanulla, J., Steck, P., Ulrich, R., Van Der Linden, J., Von Cube, R. F., Wassmer, M., Weber, M., Weddigen, A., Wieland, S., Wittig, F., Wolf, R., Wozniewski, S., Wunsch Institute of Nuclear and Particle Physics (INPP), S., Ncsr, Demokritos, Aghia, Paraskevi, Anagnostou, Greece G., Assiouras, P., Daskalakis, G., Geralis, T., Kazas, I., Kyriakis, A., Loukas, D., Papadopoulos, A., Stakia National and Kapodistrian University of Athens, A., Athens, Diamantopoulou, Greece M., Karasavvas, D., Karathanasis, G., Kontaxakis, P., Koraka, C. K., Manousakis-Katsikakis, A., Panagiotou, A., Papavergou, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Vourliotis National Technical University of Athens, E., Bakas, Greece G., Kousouris, K., Papakrivopoulos, I., Tsipolitis, G., Zacharopoulou, A., Zografos University of Ioánnina, A., Ioánnina, Adamidis, Greece K., Bestintzanos, I., Evangelou, I., Foudas, C., Gianneios, P., Katsoulis, P., Kokkas, P., Manthos, N., Papadopoulos, I., Strologas MTA-ELTE Lendület CMS Particle and Nuclear Physics Group, J., Eötvös Loránd University, Budapest, Csanad, Hungary M., Farkas, K., Gadallah28, M. M. A., Lökös29, S., Major, P., Mandal, K., Mehta, A., Pasztor, G., Rd ́l, A. J., Surányi, O., Veres Wigner Research Centre for Physics, G. I., Balazs, Hungary T., Bartók30, M., Bencze, G., Hajdu, C., Horvath31, D., Márton, K., Sikler, F., Veszpremi Institute of Nuclear Research ATOMKI, V., Debrecen, Czellar, Hungary S., Karancsi30, J., Molnar, J., Szillasi, Z., Teyssier Institute of Physics, D., University of Debrecen, Raics, Hungary P., Trocsanyi32, Z. L., Ujvari Karoly Robert Campus, B., MATE Institute of Technology, Gyongyos, Csorgo33, Hun- gary T., Nemes33, F., Novak Indian Institute of Science (IISc), T., Bangalore, Choudhury, India S., Komaragiri, J. R., Kumar, D., Panwar, L., Tiwari National Institute of Science Education and Research, P. C., Hbni, Bhubaneswar, Bahinipati34, India S., Das, A. K., Kar, C., Mal, P., Mishra, T., Mohanty, R., Muraleedharan Nair Bindhu35, V. K., Nayak35, A., Saha, P., Sur, N., Swain, S. K., Vats35 Punjab University, D., Chandigarh, Bansal, India S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra36, N., Gupta, R., Kaur, A., Kaur, M., Kaur, S., Kumari, P., Meena, M., Sandeep, K., Singh, J. B., Virdi University of Delhi, A. K., Delhi, Ahmed, India A., Bhardwaj, A., Choudhary, B. C., Gola, M., Jain, C., Jain, G., Keshri, S., Kumar, A., Naimuddin, M., Priyanka, P., Ranjan, K., Saumya, S., Shah Saha Institute of Nuclear Physics, A., Hbni, Kolkata, Bharti37, India M., Bhattacharya, R., Bhowmik, D., Dutta, S., Gomber38, B., Maity39, M., Palit, P., Rout, P. K., Saha, G., Sahu, B., Sarkar, S., Sharan, M., Singh37, B., Thakur37 Indian Institute of Technology Madras, S., Madras, Behera, India P. K., Behera, S. C., Kalbhor, P., Muhammad, A., Pradhan, R., Pujahari, P. R., Sikdar Bhabha Atomic Research Centre, A. K., Mumbai, Dutta, India D., Jha, V., Kumar, V., Mishra, D. K., Naskar40, K., Netrakanti, P. K., Pant, L. M., Shukla Tata Institute of Fundamental Research-A, P., Aziz, India T., Dugad, S., Kumar Tata Institute of Fundamental Research-B, M., Banerjee, India S., Chudasama, R., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee Indian Institute of Science Education and Research (IISER), S., Pune, Alpana, India K., Dube, S., Kansal, B., Laha, A., Pandey, S., Rane, A., Rastogi, A., and Methods in Physics Research, S. Sharma 38 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 Isfahan University of Technology, Isfahan, Bakhshiansohi12, Iran H., Khazaie, E., Zeinali41 Institute for Research in Fundamental Sciences (IPM), M., Tehran, Abbas, Iran S. M., Chenarani42, S., Etesami, S. M., Khakzad, M., Mohammadi Najafabadi University College Dublin, M., Dublin, Bari, Italy, Bari, Ramos, D., Bologna, Italy, Bologna, Lo Meoa, S., Grosso, G., Lusiani, E., Pavia, Italy, Pavia, Perugia, Italy, Peru-, Gia, Baldinelli, G., Bianchi, F., Magherinib, M., Pisa, Italy, Italy, Albergo, S., Costa, S., Di Mattia, A., Saizu, M. A., Tricomi, A., Tuve, C., Potenza, R., Catania, Italy, Manca, Mandorli, G., Massa, M., Mazzoni, E., Messineo, A., Scrib- anoa, A., Firenze, Italy, Firenze, Frascati, Benussi, Italy L., Bianco, S., Genova, Italy, Gen-, Ova, Milano, Italy, Milano, Boldrini, G., Pinolini, B. S., Napoli, Italy, Potenza, Italy, Padova, Italy, Trento, Beccherle, R., Rome, Italy, Rome, Torino, Italy, Novara, Coli, S., Rivettia, A., Trieste, Italy, Trieste, Daegu, Dogra, Korea S., Huh, C., Kim, B., Kim, D. H., Kim, G. N., Kim, J., Lee, J., Lee, S. W., Moon, C. S., Y. D., Oh, Pak, S. I., Radburn-Smith, B. C., Sekmen, S., Yang Chonnam National University, Y. C., Institute for Universe and Elementary Particles, Kwangju, Kim, Korea H., D’Amantea, V., Di Domenicoa, M. R., D, A 1037 (2022) 166795 Hanyang University, Seoul, Francois, Korea B., Kim, T. J., Park Korea University, J., Cho, Korea S., Choi, S., Go, Y., Hong, B., Lee, K. S., Lim, J., Park, J., Park, S. K., Yoo Kyung Hee University, J., Department of Physics, Republic of Korea, Goh, Korea J., Gurtu Sejong University, A., Kim, Korea H. S., Kim Seoul National University, Y., Almond, Korea J., Bhyun, J. H., Choi, J., Jeon, S., Kim, J. S., Ko, S., Kwon, H., Lee, H., Lee, S., B. H., Oh, Oh, M., S. B., Oh, Seo, H., Yang, U. K., Yoon University of Seoul, I., Jang, Korea W., Kang, D. Y., Kang, Y., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Park, I. C., Roh, Y., Ryu, M. S., Song, D., Watson, I. J., Yang Yonsei University, S., Korea S., Ha, Yoo Sungkyunkwan University, H. D., Suwon, Choi, Korea M., Yu College of Engineering and Technology, I., American University of the Middle East (AUM), Egaila, Kuwait, Dasman, Beyrouthy, Kuwait T., Maghrbi Riga Technical University, Y., Riga, Veckalns49 Vilnius University, Latvia V., Vilnius, Ambrozas, Lithuania M., Carvalho Antunes De Oliveira, A., Juodagalvis, A., Rinkevicius, A., Tamulaitis National Centre for Particle Physics, G., Universiti, Malaya, Kuala, Lumpur, Bin Norjoharuddeen, Malaysia N., Wan Abdullah, W. A. T., Yusli, M. N., Zolkapli Universidad de Sonora (UNISON), Z., Hermosillo, Benitez, Mexico J. F., Castaneda Hernandez, A., Coello, M. León., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo Centro de Investigacion y de Estudios Avanzados del IPN, L., Mexico, City, Ayala, Mexico G., Castilla-Valdez, H., De La Cruz-Burelo, E., Heredia-De La Cruz50, I., Lopezfernandez, R., Mondragon Herrera, C. A., Perez Navarro, D. A., Sánchez Hernández Universidad Iberoamericana, A., Carrillo Moreno, Mexico S., Oropeza Barrera, C., Vazquez Valencia Benemerita Universidad Autonoma de Puebla, F., Puebla, Pedraza, Mexico I., Salazar Ibarguen, H. A., Uribe Estrada University of Montenegro, C., Podgorica, Mijuskovic51, Montenegro J., Raicevic University of Auckland, N., Auckland, Krofcheck University of Canterbury, New Zealand D., Christchurch, Butler National Centre for Physics, New Zealand P. H., Quaid-I-Azam, University, Islamabad, Ahmad, Pak- istan A., Asghar, M. I., Awais, A., Awan, M. I. M., Hoorani, H. R., Khan, W. A., Shah, M. A., Shoaib, M., Waqas AGH University of Science and Technology Faculty of Computer Sci- ence, M., Electronics and Telecommunications, Krakow, Avati, Poland V., Grzanka, L., Malawski National Centre for Nuclear Research, M., Swierk, Bialkowska, Poland H., Bluj, M., Boimska, B., Górski, M., Kazana, M., Szleper, M., Zalewski Institute of Experimental Physics, P., Faculty of Physics, University of Warsaw, Warsaw, Bunkowski, Poland K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski Laboratório de Instrumentção e Física Experimental de Partículas, J., Lisboa, Araujo, Portugal M., Bargassa, P., Bastos, D., Boletti, A., Faccioli, P., Gallinaro, M., Hollar, J., Leonardo, N., Niknejad, T., Pisano, M., Seixas, J., Toldaiev, O., Varela Joint Institute for Nuclear Research, J., Dubna, Afanasiev, Russia S., Budkouski, D., Golutvin, I., Gorbunov, I., Karjavine, V., Korenkov, V., Lanev, A., Malakhov, A., Matveev52, V., Palichik, V., Perelygin, V., Savina, M., Seitova, D., Shalaev, V., Shmatov, S., Shulha, S., Smirnov, V., Teryaev, O., Voytishin, N., Yuldashev54, B. S., Zarubin, A., Zhizhin Petersburg Nuclear Physics Institute, I., Petersburg), Gatchina (St., Gavrilov, Russia G., Golovtcov, V., Ivanov, Y., Kim55, V., Kuznetsova56, E., Murzin, V., Oreshkin, V., Smirnov, I., Sosnov, D., Sulimov, V., Uvarov, L., Volkov, S., Vorobyev Institute for Nuclear Research, A., Moscow, Andreev, Russia Yu., Dermenev, A., Gninenko, S., Golubev, N., Karneyeu, A., Kirpichnikov, D., Kirsanov, M., Krasnikov, N., Pashenkov, A., Pivovarov, G., Alikhanov of NRC ‘Kurchatov Institute’, A. Toropin Institute for Theoretical and Experimental Physics named by A. I., Epshteyn, Russia V., Gavrilov, V., Lychkovskaya, N., Nikitenko57, A., Popov, V., Stepennov, A., Toms, M., Vlasov, E., Zhokin Moscow Institute of Physics and Technology, A., Aushev National Research Nuclear University ’Moscow Engineering Physics Institute’ (MEPhI), Russia T., Bychkova, Russia O., Chadeeva58, M., Parygin, P., Popova, E., Rusinov, V., Lebedev Physical Institute, D. Selivanova P. N., Andreev, Russia V., Azarkin, M., Dremin, I., Kirakosyan, M., Terkulov Skobeltsyn Institute of Nuclear Physics, A., Lomonosov Moscow State University, Belyaev, Russia A., Boos, E., Dubinin59, M., Dudko, L., Ershov, A., Gribushin, A., Kaminskiy60, A., Klyukhin, V., Kodolova, O., Lokhtin, I., Obraztsov, S., Petrushanko, S., Savrin Novosibirsk State University (NSU), V., Novosibirsk, Blinov61, Russia V., Dimova61, T., Kardapoltsev61, L., Kozyrev61, A., Ovtin61, I., and Methods in Physics Research, O. 40 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 Radchenko61, Skovpen61 Institute for High Energy Physics of National Research Centre ’Kurcha- tov Institute’, Y., Protvino, Azhgirey, Russia I., Bayshev, I., Elumakhov, D., Kachanov, V., Konstantinov, D., Mandrik, P., Petrov, V., Ryutin, R., Slabospitskii, S., Sobol, A., Troshin, S., Tyurin, N., Uzunian, A., Volkov National Research Tomsk Polytechnic University, A., Tomsk, Babaev, Russia A., Okhotnikov Tomsk State University, V., Borshch, Russia V., Ivanchenko, V., Tcherniaev University of Belgrade: Faculty of Physics and VINCA Institute of Nuclear Sciences, E., Belgrade, Adzic62, Serbia P., Dordevic, M., Milenovic, P., Milosevic Centro de Investigaciones Energéticas Medioambientales y Tecnológi- cas (CIEMAT), J., Madrid, Aguilar-Benitez, Spain M., Alcaraz Maestre, J., Álvarez Fernández, A., Bachiller, I., Barrio Luna, M., Bedoya, Cristina F., Carrillo Montoya, C. A., Cepeda, M., Cerrada, M., Colino, N., De La Cruz, B., Delgado Peris, A., Fernández Ramos, J. P., Flix, J., Fouz, M. C., Gonzalez Lopez, O., Goy Lopez, S., Hernandez, J. M., Josa, M. I., Holgado, J. León., Moran, D., Navarro Tobar, Á., Perez Dengra, C., Pérez-Calero Yzquierdo, A., Puerta Pelayo, J., Redondo, I., Romero, L., Sánchez Navas, S., Urda Gómez, L., Willmott Universidad Autónoma de Madrid, C., de Trocóniz, Spain J. F., Reyes-Almanza Universidad de Oviedo, R., Instituto Universitario de Ciencias, y Tec- nologías Espaciales de Asturias (ICTEA), Oviedo, Alvarez Gonzalez, Spain B., Cuevas, J., Erice, C., Fernandez Menendez, J., Folgueras, S., Gonzalez Caballero, I., González Fernández, J. R., Palencia Cortezon, E., Álvarez, C. Ramón., Rodríguez Bouza, V., Soto Rodríguez, A., Trapote, A., Trevisani, N., Vico Villalba Instituto de Física de Cantabria (IFCA), C., CSIC-Universidad de Cantabria, Santander, Brochero Cifuentes, Spain J. A., Cabrillo, I. J., Calderon, A., Curras, E., Duarte Campderros, J., Fernandez, M., Fernandez Madrazo, C., Fernández Manteca, P. J., Alonso, A. García., Gomez, G., Gonzalez Sanchez, J., Jaramillo Echeverria, R. W., Martinez Rivero, C., Martinez Ruiz del Arbol, P., Matorras, F., Matorras Cuevas, P., Moya, D., Piedra Gomez, J., Prieels, C., Rodrigo, T., Ruiz-Jimeno, A., Scodellaro, L., Vila, I., Virto, A. L., Vizan Garcia University of Colombo, J. M., Colombo, Jayananda, Sri Lanka M. K., Kailasapathy63, B., Sonnadara, D. U. J., Wickra- marathna University of Ruhuna, D. D. C., Matara, Dharmaratna, Sri Lanka W. G. D., Liyanage, K., Perera, N., Wickramage CERN, N., European Organization for Nuclear Research, Geneva, Aarrestad, Switzer- land T. K., Abbaneo, D., Albert, E., Alimena, J., Auffray, E., Auzinger, G., Baechler, J., Baillon†, P., Barinoff, M., Barney, D., Batista Lopes, J., Bendavid, J., Bergamin, G., Bianco, M., Blanchot, G., Bocci, A., Boyer, F., Camporesi, T., Capeans Garrido, M., Caratelli, A., Carnesecchi, R., Ceresa, D., Cerminara, G., Chernyavskaya, N., Chhibra, S. S., Chris- tiansen, J., Cichy, K., Cipriani, M., Cristella, L., D’Enterria, D., Dabrowski, A., Daguin, J., David, A., De Roeck, A., Defranchis, M. M., Deile, M., Detraz, S., Dobson, M., Dudek, M., Dunser, M., Dupont, N., Elliott-Peisert, A., Emriskova, N., Fallavollita64, F., Fasanella, D., Figueiredo De Sá Sousa De Almeida, J. P., Filenius, A., Florent, A., Frank, N., Franzoni, G., French, T., Funk, W., Giani, S., Gigi, D., Gill, K., Glege, F., Gouskos, L., Haranko, M., Hegeman, J., Hollos, A. E., Hugo, G., Innocente, V., James, T., Janot, P., Kaplon, J., Kaspar, J., Kerekes, Z., Kieseler, J., Kloukinas, K., Komm, M., Koss, N., Kottelat, L. J., Kovács, M. I., Kratochwil, N., La Rosa, A., Lange, C., Laurila, S., Lecoq, P., Lenoir, P., Lintuluoto, A., Long, K., Loos, R., Lourenço, C., Maier, B., Malgeri, L., Mallios, S., Mannelli, M., Marchioro, A., Marini, A. C., Mateos Domínguez, I., Meijers, F., Mersi, S., Meschi, E., Michelis, S., Millet, A., Moortgat, F., Mulders, M., Onnela, A., Orfanelli, S., Orsini, L., Pakulski, T., Pantaleo, F., Pape, L., Perez, A., Perez, E., Perez Gomez, F., Pernot, J. F., Peruzzi, M., Petagna, P., Petrilli, A., Petrucciani, G., Pfeiffer, A., Piazza, Q., Pierini, M., Piparo, D., Pitt, M., Postema, H., Qu, H., Quast, T., Rabady, D., Racz, A., Reales Gutiérrez, G., Rieger, M., Rose, P., Rovere, M., Sakulin, H., Salfeld-Nebgen, J., Scarfi, S., Schäfer, C., Schwick, C., Selvaggi, M., Silva, P., Sinani, M., Snoeys, W., Sphicas65, P., Summers, S., Tatar, K., Tavares Rego, R., Tavolaro, V. R., Treille, D., Tropea, P., Troska, J., Tsirou, A., Van Onsem, G. P., Vasey, F., Vichoudis, P., Wanczyk66, J., Wozniak, K. A., Zeuner Paul Scherrer Institut, W. D., Villigen, Bertl†, Switzerland W., Caminada67, L., Ebrahimi, A., Erdmann, W., Horisberger, R., Ingram, Q., Kaestli, H. C., Kotlinski, D., Langenegger, U., Meier, B., Missiroli67, M., Noehte67, L., Rohe, T., Streuli ETH Zurich - Institute for Particle Physics and Astrophysics (IPA), S., Zurich, Androsov66, Switzerland K., Backhaus, M., Becker, R., Berger, P., Calandri, A., Da Silva Di Calafiori, D. R., De Cosa, A., Dissertori, G., Dittmar, M., Djambazov, L., Donegà, M., Dorfer, C., Eble, F., Gedia, K., Glessgen, F., Gómez Espinosa, T. A., Grab, C., Hits, D., Lustermann, W., Lyon, A. -M., Manzoni, R. A., Marchese, L., Martin Perez, C., Meinhard, M. T., Nessi-Tedaldi, F., Niedziela, J., Pauss, F., Perovic, V., Pigazzini, S., Ratti, M. G., Reichmann, M., Reissel, C., Reitenspiess, T., Ristic, B., Roser, U., Ruini, D., Sanz Becerra, D. A., Soerensen, J., Stampf, V., Steggemann66, J., Wallny, R., Zhu Universität Zürich, D. H., Amsler68, Switzerland C., Bärtschi, P., Bösiger, K., Botta, C., Brzhechko, D., Canelli, M. F., Cormier, K., De Wit, A., Del Burgo, R., Heikkilä, J. K., Huwiler, M., Jin, W., Jofrehei, A., Kilminster, B., Leontsinis, S., Liechti, S. P., Macchi- olo, A., Maier, R., Meiring, P., Mikuni, V. M., Molinatti, U., Neutelings, I., Reimers, A., Robmann, P., Sanchez Cruz, S., Schweiger, K., Takahashi, Y., Wolf National Central University, D., Chung-Li, Adloff69, Taiwan C., Kuo, C. M., Lin, W., Roy, A., Sarkar39, T., Yu National Taiwan University (NTU), S. S., Taipei, Ceard, Taiwan L., Chao, Y., Chen, K. F., Chen, P. H., Hou, W. -S., Y. y., Li, R. -S., Lu, Paganis, E., Psallidas, A., Steen, A., H. y., Wu, Yazgan, E., Yu Chulalongkorn University, P. r., Bangkok, Asavapibhop, Thailand B., Asawatangtrakuldee, C., Srimanobhas Çukurova University, N., Physics, Department, Science and Art Faculty, Adana, Boran, Turkey F., Damarseckin70, S., Demiroglu, Z. S., Dolek, F., Dumanoglu71, I., Eskut, E., Guler72, Y., Gurpinar Guler72, E., Isik, C., Kara, O., Kayis Topaksu, A., Kiminsu, U., Onengut, G., Ozdemir73, K., Polatoz, A., Simsek, A. E., Tali74, B., Tok, U. G., Turkcapar, S., Zorbakir Middle East Technical University, I. S., Ankara, Isildak75, Turkey B., Karapinar76, G., Ocalan77, K., Yalvac78 Bogazici University, M., Istanbul, Akgun, Turkey B., Atakisi, I. O., Gülmez, E., Kaya78, M., Kaya80, O., Özçelik, Ö., Tekten81, S., and Methods in Physics Research, E. A. Yetkin82 41 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 Istanbul Technical University, Cakir, Turkey A., Cankocak71, K., Komurcu, Y., Sen83 Istanbul University, S., Cerci74, Turkey S., Hos84, I., Kaynak, B., Ozkorucuklu, S., Sunar Cerci74, Zorbilmez D., Cannaert, C. E., Chertok, M., Conway, J., Cox, P. T., Erbacher, R., Haza, G., Hemer, D., Jensen, F., Kukral, O., Lander, R., Mulhearn, M., Pellett, D., Regnery, B., Taylor, D., Thomson, J., Wei, W., Welton, T., Yao, Y., Zhang University of California, F., Los, Angeles, California, Bachtis, USA M., Cousins, R., Datta, A., Hamilton, D., Hauser, J., Ignatenko, M., Iqbal, M. A., Lam, T., Nash, W. A., Regnard, S., Saltzberg, D., Stone, B., Valuev University of California, V., Riverside, Riverside, Burt, USA K., Chen, Y., Clare, R., Gary, J. W., Gordon, M., Hanson, G., Karapostoli, G., Long, O. R., Manganelli, N., Olmedo Negrete, M., Si, W., Wimpenny, S., Zhang University of California, Y., San, Diego, Jolla, La, Branson, USA J. G., Chang, P., Cittolin, S., Cooperstein, S., Deelen, N., Diaz, D., Duarte, J., Gerosa, R., Giannini, L., Gilbert, D., Guiang, J., Kansal, R., Krutelyov, V., Lee, R., Letts, J., Masciovecchio, M., Pieri, M., Sathia Narayanan, B. V., Sharma, V., Tadel, M., Vartak, A., Wurthwein, F., Xiang, Y., Yagil University of California, A., Santa Barbara, - Department of Physics, Santa, Barbara, Amin, USA N., Campagnari, C., Citron, M., Dorsett, A., Dutta, V., Incandela, J., Kilpatrick, M., Kyre, S., Marsh, B., Mei, H., Oshiro, M., Quinnan, M., Richman, J., Sarica, U., Setti, F., Sheplock, J., Stuart, D., Wang California Institute of Technology, S., Pasadena, California, Bornheim, USA A., Cerri, O., Dutta, I., Lawhorn, J. M., Lu, N., Mao, J., Newman, H. B., Nguyen, T. Q., Spiropulu, M., Vlimant, J. R., Wang, C., Xie, S., Zhang, Z., Zhu Carnegie Mellon University, R. Y., Pittsburgh, Pennsylvania, Alison, USA J., An, S., Andrews, M. B., Bryant, P., Ferguson, T., Harilal, A., Liu, C., Mudholkar, T., Paulini, M., Sanchez, A., Terrill University of Colorado Boulder, W., Boulder, Colorado, Cumalat, USA J. P., Ford, W. T., Hassani, A., Macdonald, E., Patel, R., Perloff, A., Savard, C., Stenson, K., Ulmer, K. A., Wagner Cornell University, S. R., Ithaca, New, York, Alexander, USA J., Bright-Thonney, S., Cheng, Y., Cranshaw, D. J., Fan, J., Hogan, S., Lantz, S., Monroy, J., Padilla Fuentes, Y., Patterson, J. R., Quach, D., Reichert, J., Reid, M., Riley, D., Ryd, A., Smolenski, K., Strohman, C., Sun, W., Thom, J., Wittich, P., Zou Fermi National Accelerator Laboratory, R., Batavia, Illinois, Albrow, USA M., Alyari, M., Apollinari, G., Apresyan, A., Apyan, A., Bakshi, A., Banerjee, S., Bauerdick, L. A. T., Berry, D., Berryhill, J., Bhat, P. C., Burkett, K., Butler, D., Butler, J. N., Canepa, A., Cerati, G. B., Cheung, H. W. K., Chlebana, F., Cremonesi, M., Derylo, G., Di Petrillo, K. F., Dickinson, J., Elvira, V. D., Feng, Y., Freeman, J., Gecse, Z., Ghosh, A., Gingu, C., Gonzalez, H., Gray, L., Green, D., Grunendahl, S., Gutsche, O., Harris, R. M., Heller, R., Herwig, T. C., Hirschauer, J., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klabbers, P., Klijnsma, T., Klima, B., Kwok, K. H. M., Lammel, S., Lei, C. M., Lincoln, D., Lipton, R., Liu, T., Madrid, C., Maeshima, K., Mantilla, C., Mason, D., Mcbride, P., Merkel, P., Mrenna, S., Nahn, S., Ngadiuba, J., O’Dell, V., Papadimitriou, V., Pedro, K., Pena59, C., Prokofyev, O., Ravera, F., Reinsvold Hall, A., Ristori, L., Sexton-Kennedy, E., Smith, N., Soha, A., Spalding, W. J., Spiegel, L., Stoynev, S., Strait, J., Taylor, L., Tkaczyk, S., Tran, N. V., Uplegger, L., Vaandering, E. W., Voirin, E., Weber University of Florida, H. A., Gainesville, Florida, Acosta, USA D., Avery, P., Bourilkov, D., Cadamuro, L., Cherepanov, V., Errico, F., Field, R. D., Guerrero, D., Joshi, B. M., Kim, M., Koenig, E., Konigs- berg, J., Korytov, A., K. H., Lo, Matchev, K., Menendez, N., Mitselmakher, G., Institute for Scintillation Materials of National Academy of Science of Ukraine, Kharkov, Grynyov National Scientific Center, Ukraine B., Kharkov Institute of Physics and Technology, Levchuk University of Bristol, Ukraine L., Bristol, Anthony, United Kingdom D., Bhal, E., Bologna, S., Brooke, J. J., Bundock, A., Clement, E., Cussans, D., Flacher, H., Goldstein, J., Heath, G. P., Heath, H. F., Kreczko, L., Krikler, B., Paramesvaran, S., Seif El Nasr-Storey, S., Smith, V. J., Stylianou85, N., Walkingshaw Pass, K., White Rutherford Appleton Laboratory, R., Didcot, Bell, United Kingdom K. W., Belyaev86, A., Brew, C., Brown, R. M., Cockerill, D. J. A., Cooke, C., Coughlan, J. A., Ellis, K. V., Harder, K., Harper, S., Holmberg87, M. -L., Linacre, J., Manolopoulos, K., Newbold, D. M., Olaiya, E., Petyt, D., Reis, T., Schuh, T., Shepherd-Themistocleous, C. H., Tomalin, I. R., Williams Imperial College, T., London, Bainbridge, United Kingdom R., Bloch, P., Bonomally, S., Borg, J., Breeze, S., Brown, C. E., Buchmuller, O., Cepaitis, V., Chahal88, G. S., Colling, D., Dauncey, P., Davies, G., Della Negra, M., Fayer, S., Fedi, G., Hall, G., Hassanshahi, M. H., Iles, G., Langford, J., Lyons, L., Magnan, A. - M., Malik, S., Martelli, A., Monk, D. G., Nash89, J., Pesaresi, M., Raymond, D. M., Richards, A., Rose, A., Scott, E., Seez, C., Shtipliyski, A., Tapper, A., Uchida, K., Virdee18, T., Vojinovic, M., Wardle, N., Webb, S. N., Winterbottom Brunel University, D., Uxbridge, Coldham, United Kingdom K., Cole, J. E., Ghorbani, M., Khan, A., Kyberd, P., Reid, I. D., Teodorescu, L., Zahid Baylor University, S., Waco, Texas, Abdullin, USA S., Brinkerhoff, A., Caraway, B., Dittmann, J., Hatakeyama, K., Kanuganti, A. R., Mcmaster, B., Pastika, N., Saunders, M., Sawant, S., Sutantawibul, C., Wilson Catholic University of America, J., Washington, Dc, Bartek, USA R., Dominguez, A., Uniyal, R., Vargas Hernandez The University of Alabama, A. M., Tuscaloosa, Alabama, Buccilli, USA A., Cooper, S. I., Di Croce, D., Gleyzer, S. V., Henderson, C., Perez, C. U., Rumerio90, P., West Boston University, C., Boston, Massachusetts, Akpinar, USA A., Albert, A., Arcaro, D., Cosby, C., Demiragli, Z., Fontanesi, E., Gastler, D., Hazen, E., May, S., Peck, A., Rohlf, J., Salyer, K., Sperka, D., Spitzbart, D., Suarez, I., Tsatsos, A., Yuan, S., Zou Brown University, D., Providence, Rhode, Island, Benelli, USA G., Burkle, B., Coubez23, X., Cutts, D., Hadley, M., Heintz, U., Hinton, N., Hogan91, J. M., Honma, A., Korotkov, A., Kwon, T., Landsberg, G., Lau, K. T., Li, D., Lukasik, M., Luo, J., Narain, M., Pervan, N., Sagir92, S., Simpson, F., Spencer, E., Usai, E., Wong, W. Y., Yan, X., Yu, D., Zhang University of California, W., Davis, Davis, Bonilla, USA J., Brainerd, C., Breedon, R., Calderon De La Barca Sanchez, M., and Methods in Physics Research, 42 The CMS Collaboration Nuclear Inst., Muthirakalayil Madhu, A 1037 (2022) 166795 A., Rawal, N., Rosenzweig, D., Rosenzweig, S., Rotter, J., Shi, K., Sturdy, J., Yigitbasi, E., Zuo Florida State University, X., Tallahassee, Florida, Adams, USA T., Askew, A., Habibullah, R., Hagopian, V., Johnson, K. F., Khurana, R., Kolberg, T., Martinez, G., Prosper, H., Schiber, C., Viazlo, O., Yohay, R., Zhang Florida Institute of Technology, J., Melbourne, Florida, Baarmand, USA M. M., Butalla, S., Elkafrawy93, T., Hohlmann, M., Kumar Verma, R., Noonan, D., Rahmani, M., Yumiceva University of Illinois at Chicago (UIC), F., Chicago, Illinois, Adams, USA M. R., Becerril Gonzalez, H., Cavanaugh, R., Chen, X., Dittmer, S., Evdokimov, A., Evdokimov, O., Gerber, C. E., Hangal, D. A., Hofman, D. J., Merrit, A. H., Mills, C., Oh, G., Roy, T., Rudrabhatla, S., Tonjes, M. B., Varelas, N., Viinikainen, J., Wang, X., Wu, Z., Ye, Z., Yoo The University of Iowa, J., Iowa, City, Iowa, Alhusseini, USA M., Dilsiz94, K., Durgut, S., Gandrajula, R. P., Koseyan, O. K., Merlo, J. -P., Mestvirishvili95, A., Nachtman, J., Ogul96, H., Onel, Y., Penzo, A., Rude, C., Snyder, C., Tiras97 Johns Hopkins University, E., Baltimore, Maryland, Amram, USA O., Blumenfeld, B., Corcodilos, L., Davis, J., De Havenon, V., Eminizer, M., Feingold, J., Gritsan, A. V., Kang, L., Kyriacou, S., Maksi- movic, P., Martin, C., Roskes, J., Sullivan, K., Swartz, M., Vámi, T. Á., You The University of Kansas, C., Lawrence, Kansas, Abreu, USA A., Anguiano, J., Baldenegro Barrera, C., Baringer, P., Bean, A., Bylinkin, A., Flowers, Z., Isidori, T., Khalil, S., King, J., Krintiras, G., Kropivnitskaya, A., Lazarovits, M., Lindsey, C., Marquez, J., Minafra, N., Murray, M., Nickel, M., Rogan, C., Royon, C., Salvatico, R., Sanders, S., Schmitz, E., Smith, C., Tapia Takaki, J. D., Wang, Q., Warner, Z., Williams, J., Wilson Kansas State University, G., Manhattan, Kansas, Duric, USA S., Ivanov, A., Kaadze, K., Kim, D., Maravin, Y., Mitchell, T., Modak, A., Nam, K., Taylor Lawrence Livermore National Laboratory, R., Livermore, California, Rebassoo, USA F., Wright University of Maryland, D., College, Park, Maryland, Adams, USA E., Baden, A., Baron, O., Belloni, A., Eno, S. C., Hadley, N. J., Jabeen, S., Kellogg, R. G., Koeth, T., Mignerey, A. C., Nabili, S., Palmer, C., Seidel, M., Skuja, A., Wang, L., Wong Massachusetts Institute of Technology, K., Cambridge, Massachusetts, Abercrombie, USA D., Andreassi, G., Bi, R., Brandt, S., Busza, W., Cali, I. A., D’Alfonso, M., Eysermans, J., Freer, C., Gomez Ceballos, G., Goncharov, M., Harris, P., Hu, M., Klute, M., Kovalskyi, D., Krupa, J., Lee, Y. -J., Mironov, C., Paus, C., Rankin, D., Roland, C., Roland, G., Shi, Z., Stephans, G. S. F., Wang, Z., Wyslouch University of Minnesota, B., Minneapolis, Minnesota, Chatterjee, USA R. M., Evans, A., Hansen, P., Hiltbrand, J., Jain, Sh., Krohn, M., Kubota, Y., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Strobbe, N., Wadud University of Mississippi, M. A., Oxford, Mississippi, Acosta, USA J. G., Cremaldi, L. M., Oliveros, S., Perera, L., Summers† University of Nebraska-Lincoln, D., Lincoln, Nebraska, Avdeeva, USA E., Bloom, K., Bryson, M., Claes, D. R., Fangmeier, C., Finco, L., Golf, F., Joo, C., Kravchenko, I., Meier, F., Musich, M., Reed, I., Siado, J. E., Snow†, G. R., Tabb, W., Yan, F., Zecchinelli State University of New York at Buffalo, A. G., Buffalo, Agarwal, USA G., Bandyopadhyay, H., Hay, L., Iashvili, I., Kharchilava, A., Mclean, C., Nguyen, D., Pekkanen, J., Rappoccio, S., Williams Northeastern University, A., Alverson, USA G., Barberis, E., Haddad, Y., Hortiangtham, A., Li, J., Madi- gan, G., Marzocchi, B., Morse, D. M., Nguyen, V., Orimoto, T., Parker, A., Skinnari, L., Tishelman-Charny, A., Wamorkar, T., Wang, B., Wisecarver, A., Wood Northwestern University, D., Evanston, Illinois, Bhattacharya, USA S., Bueghly, J., Chen, Z., Gilbert, A., Gunter, T., Hahn, K. A., Liu, Y., Odell, N., Schmitt, M. H., Sung, K., Velasco University of Notre Dame, M., Notre, Dame, Indiana, Band, USA R., Bucci, R., Das, A., Dev, N., Goldouzian, R., Hildreth, M., Hurtado Anampa, K., Jessop, C., Lannon, K., Lawrence, J., Loukas, N., Lut- ton, D., Marinelli, N., Mcalister, I., Mccauley, T., Mcgrady, C., Mohrman, K., Musienko52, Y., Ruchti, R., Siddireddy, P., Townsend, A., Wayne, M., Wightman, A., Zarucki, M., Zygala The Ohio State University, L., Columbus, Ohio, Bylsma, USA B., Cardwell, B., Durkin, L. S., Francis, B., Hill, C., Nunez Ornelas, M., Wei, K., Winer, B. L., Yates Princeton University, B. R., Princeton, New, Jersey, Addesa, USA F. M., Bonham, B., Das, P., Dezoort, G., Elmer, P., Frankenthal, A., Greenberg, B., Haubrich, N., Higginbotham, S., Kalogeropoulos, A., Kopp, G., Kwan, S., Lange, D., Marlow, D., Mei, K., Ojalvo, I., Olsen, J., Stickland, D., Tully University of Puerto Rico, C., Mayaguez, Puerto, Rico, Malik, USA S., Norberg, S., Ramirez Vargas Purdue University, J. E., West, Lafayette, Bakshi, USA A. S., Barnes, V. E., Chawla, R., Das, S., Gutay, L., Jones, M., Jung, A. W., Karmarkar, S., Kondratyev, D., Koshy, A. M., Liu, M., Negro, G., Neumeister, N., Paspalaki, G., Piperov, S., Purohit, A., Schulte, J. F., Stojanovic19, M., Thieman, J., Wang, F., Xiao, R., Xie Purdue University Northwest, W., Hammond, Indiana, Dolen, USA J., Parashar Rice University, N., Houston, Texas, Baty, USA A., Decaro, M., Dildick, S., Ecklund, K. M., Freed, S., Gardner, P., Geurts, F. J. M., Li, W., Liu, H., Nussbaum, T., Padley, B. P., Redjimi, R., Shi, W., Stahl Leiton, A. G., Yang, S., Zhang, L., Zhang University of Rochester, Y., Rochester, Bodek, USA A., de Barbaro, P., Demina, R., Dulemba, J. L., Fallon, C., Ferbel, T., Galanti, M., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Ranken, E., Taus Rutgers, R., The State University of New Jersey, Piscataway, Bartz, USA E., Chiarito, B., Chou, J. P., Gandrakota, A., Gershtein, Y., Halki- adakis, E., Hart, A., Heindl, M., Karacheban26, O., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Osherson, M., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Wang University of Tennessee, H., Knoxville, Tennessee, Acharya, USA H., Delannoy, A. G., Fiorendi, S., Spanier Texas A&, S., University, M, College, Station, Texas, Bouhali98, USA O., Dalchenko, M., Delgado, A., Eusebi, R., Gilmore, J., and Methods in Physics Research, T. 43 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 Huang, Kamon99, T., Kim, H., Luo, S., Malhotra, S., Mueller, R., Overton, D., Rathjens, D., Safonov Texas Tech University, A., Lubbock, Texas, Akchurin, USA N., Damgov, J., Hegde, V., Kunori, S., Lamichhane, K., Mengke, T., Muthumuni, S., Peltola, T., Volobouev, I., Whitbeck Vanderbilt University, A., Nashville, Tennessee, Appelt, USA E., D’Angelo, P., Greene, S., Gurrola, A., Johns, W., Melo, A., Ni, H., Padeken, K., Romeo, F., Sheldon, P., Tuo, S., Velkovska University of Virginia, J., Charlottesville, Virginia, Arenton, USA M. W., Cox, B., Cummings, G., Hakala, J., Hirosky, R., Joyce, M., Ledovskoy, A., Li, A., Neu, C., Perez Lara, C. E., Tannenwald, B., White, S., Wolfe Wayne State University, E., Detroit, Michigan, Poudyal University of Wisconsin - Madison, USA N., Madison, Wi, Wisconsin, Black, USA K., Bose, T., Caillol, C., Dasu, S., De Bruyn, I., Everaerts, P., Fienga, F., Galloni, C., He, H., Herndon, M., Hervé, A., Hussain, U., Lanaro, A., Loeliger, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Pinna, D., Savin, A., Shang, V., Smith, W. H., Teague, D., Trembath-Reichert, S., Vetens 30 Also at Institute of Physics, W., Hungary 31 Also at Institute of Nuclear Research ATOMKI, Hungary 32 Also at MTA-ELTE Lendület CMS Particle and Nuclear Physics Group, Hungary 33 Also at Wigner Research Centre for Physics, Hungary 34 Also at IIT Bhubaneswar, Bhubaneswar, India 35 Also at Institute of Physics, Khalsa College, India 36 Also at G. H. G., Punjab, India 37 Also at Shoolini University, Solan, India 38 Also at University of Hyderabad, Hyderabad, India 39 Also at University of Visva-Bharati, Santiniketan, India 40 Also at Indian Institute of Technology (IIT), India 41 Also at Sharif University of Technology, Iran 42 Also at Department of Physics, University of Science and Technology of Mazandaran, Behshahr, Iran 43 Now at INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Italy 44 Also at Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Italy 45 Also at Centro Siciliano di Fisica Nucleare, e di Struttura Della Materia, Catania, Italy 46 Also at Horia Hulubei National Institute of Physics and Nuclear Engineering (IFIN-HH), Bucharest, Romania 47 Also at Universita di Napoli ‘Federico II’, Napoli, Italy 48 Also at Consiglio Nazionale delle Ricerche, - Istituto Officina dei Materiali, Perugia, Italy 49 Also at Riga Technical University, Latvia 50 Also at Consejo Nacional de Ciencia, y Tecnología, Mexico 51 Also at IRFU, France 52 Also at Institute for Nuclear Research, Russia 53 Now at National Research Nuclear University ‘Moscow Engineering Physics Institute’ (MEPhI), Russia 54 Also at Institute of Nuclear Physics of the Uzbekistan Academy of Sciences, Tashkent, Petersburg Polytechnic University, Uzbekistan 55 Also at St., Petersburg, St., Russia 56 Also at University of Florida, USA 57 Also at Imperial College, Lebedev Physical Institute, United Kingdom 58 Also at P. N., Russia 59 Also at California Institute of Technology, USA 60 Also at INFN Sezione di Padova, Università di Padova, Università di Trento, Trento, Italy, Padova, Italy 61 Also at Budker Institute of Nuclear Physics, Russia 62 Also at Faculty of Physics, University of Belgrade, Serbia 63 Also at Trincomalee Campus, Eastern, University, Sri, Lanka, Nilaveli, Sri Lanka 64 Also at INFN Sezione di Pavia, Università di Pavia, Italy 65 Also at National and Kapodistrian University of Athens, Greece 66 Also at Ecole Polytechnique Fédérale Lausanne, Lausanne, Switzer- land 67 Also at Universität Zürich, Switzerland 68 Also at Stefan Meyer Institute for Subatomic Physics, Austria 69 Also at Laboratoire d’Annecy-le-Vieux de Physique des Particules, IN2P3-CNRS, Annecyle-Vieux, France 70 Also at Şırnak University, Sirnak, Turkey 71 Also at Near East University, Research Center of Experimental Health Science, Turkey 72 Also at Konya Technical University, Konya, Turkey 73 Also at Piri Reis University, Turkey 74 Also at Adiyaman University, Adiyaman, Turkey 75 Also at Ozyegin University, Turkey 76 Also at Izmir Institute of Technology, Izmir, Turkey 77 Also at Necmettin Erbakan University, Turkey 78 Also at Bozok Universitetesi Rektörlügü, Yozgat, Turkey † Deceased, 1 Also at TU Wien, Wien, Austria, 2 Also at Institute of Basic and Applied Sciences, Faculty of Engineering, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt 3 Also 4 Also 5 Also 6 Also 7 Also 8 Also, 9 Also 10 Also at Nanjing Normal University Department of Physics, Nanjing, China 11 Now at The University of Iowa, USA 12 Also at Deutsches Elektronen-Synchrotron, Alikhanov of NRC ‘Kurchatov Institute’, Germany 13 Also at Institute for Theoretical and Experimental Physics named by A. I., Russia 14 Also at Joint Institute for Nuclear Research, Russia 15 Also at Cairo University, Egypt 16 Also at Suez University, Suez, Egypt 17 Now at British University in Egypt, Egypt 18 Also at CERN, Switzerland 19 Also at Purdue University, USA 20 Also at Université de Haute Alsace, Mulhouse, France 21 Also at Tbilisi State University, Georgia 22 Also at Erzincan Binali Yildirim University, Erzincan, Turkey 23 Also at RWTH Aachen University, Germany 24 Also at University of Hamburg, Germany 25 Also at Isfahan University of Technology, Iran 26 Also at Brandenburg University of Technology, Cottbus, Germany 27 Also at Forschungszentrum Julich, Juelich, Germany 28 Also at Physics Department, Assiut, University, Assiut, Egypt 29 Also at Karoly Robert Campus, Hungary at Université Libre de Bruxelles, Belgium at Universidade Estadual de Campinas, Campinas, Brazil at Federal University of Rio Grande do Sul, Porto, Alegre, Brazil at The University of the State of Amazonas, Manaus, Brazil at University of Chinese Academy of Sciences, China at Department of Physics, China at UFMS, Nova, Andradina, and Methods in Physics Research, Brazil 44 The CMS Collaboration Nuclear Inst., A 1037 (2022) 166795 79 Also at Marmara University, Turkey 80 Also at Milli Savunma University, Turkey 81 Also at Kafkas University, Kars, Turkey 82 Also at Istanbul Bilgi University, Turkey 83 Also at Hacettepe University, Turkey 84 Also at Istanbul University, - Cerrahpasa, Turkey 85 Also at Vrije Universiteit Brussel, Belgium 86 Also at School of Physics and Astronomy, University of Southampton, Southampton, United Kingdom 87 Also at Rutherford Appleton Laboratory, United Kingdom 88 Also at IPPP Durham University, Durham, United Kingdom 89 Also at Monash University, Clayton, Australia 90 Also at Universitá di Torino, Torino, Italy 91 Also at Bethel University, Paul, St., Minneapolis, USA 92 Also at Karamanoğlu Mehmetbey University, Karaman, Turkey 93 Also at Ain Shams University, Egypt 94 Also at Bingol University, Bingol, Turkey 95 Also at Georgian Technical University, Georgia 96 Also at Sinop University, Sinop, Turkey 97 Also at Erciyes University, Kayseri, Turkey 98 Also at Texas A, M University at Qatar, Doha, Qatar 99 Also at Kyungpook National University, Daegu, Korea, Universidad de Cantabria, CMS Collaboration, The CMS Collaboration, Department of Physics, Helsinki Institute of Physics, University of Zurich, Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., DA ROLD, A., DELLA RICCA, G., Sorrentino, G., Vazzoler, F., ET AL (the CMS, Collaboration), Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Bloch, D, Chatterjee, S, Dragicevic, M, Del Valle, AE, Fruwirth, R, Hinger, V, Jeitler, M, Krammer, N, Lechner, L, Liko, D, Mikulec, I, Paulitsch, P, Pitters, FM, Schieck, J, Schofbeck, R, Schwarz, D, Steininger, H, Templ, S, Waltenberger, W, Wulz, E, Chekhovsky, V, Litomin, A, Makarenko, V, Beaumont, W, Darwish, MR, De Wolf, EA, Janssen, T, Kello, T, Lelek, A, Sfar, HR, Van Mechelen, P, Van Putte, S, Van Remortel, N, Blekman, F, Bols, ES, D'Hondt, J, Delcourt, M, El Faham, H, Lowette, S, Moortgat, S, Morton, A, Muller, D, Sahasransu, AR, Tavernier, S, Van Doninck, W, Van Mulders, P, Allard, Y, Beghin, D, Bilin, B, Clerbaux, B, De Lentdecker, G, Deng, W, Favart, L, Grebenyuk, A, Hohov, D, Kalsi, AK, Khalilzadeh, A, Lee, K, Mahdavikhorrami, M, Makarenko, I, Moureaux, L, Petre, L, Popov, A, Postiau, N, Robert, F, Song, Z, Starling, E, Thomas, L, Vanden Bemden, M, Vander Velde, C, Vanlaer, P, Vannerom, D, Wezenbeek, L, Yang, Y, Cornelis, T, Dobur, D, Knolle, J, Lambrecht, L, Mestdach, G, Niedziela, M, Roskas, C, Samalan, A, Skovpen, K, Tytgat, M, Vermassen, B, Vit, M, Benecke, A, Bethani, A, Bruno, G, Bury, F, Caputo, C, David, P, Deblaere, A, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, S, Lemaitre, V, Mondal, K, Prisciandaro, J, Szilasi, N, Taliercio, A, Teklishyn, M, Tran, TT, Vischia, P, Wertz, S, Alves, GA, Hensel, C, Moraes, A, Alda, WL, Pereira, MAG, Ferreira, MB, Malbouisson, HB, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, Damiao, DD, De Souza, SF, Figueiredo, DM, Herrera, CM, Amarilo, KM, Mundim, L, Nogima, H, Teles, PR, Santoro, A, Do Amaral, SMS, Sznajder, A, Thiel, M, De Araujo, FTD, Pereira, AV, Bernardes, CA, Calligaris, L, Tomei, TRFP, Gregores, EM, Lemos, DS, Mercadante, PG, Novaes, SF, Padula, SS, Aleksandrov, A, Antchev, G, Hadjiiska, R, Iaydjiev, P, Misheva, M, Rodozov, M, Shopova, M, Sultanov, G, Dimitrov, A, Ivanov, T, Litov, L, Pavlov, B, Petkov, P, Petrov, A, Cheng, T, Javaid, T, Mittal, M, Wang, H, Yuan, L, Ahmad, M, Bauer, G, Dozen, C, Hu, Z, Martins, J, Wang, Y, Yi, K, Chapon, E, Chen, GM, Chen, HS, Chen, M, Iemmi, F, Kapoor, A, Leggat, D, Liao, H, Liu, A, Milosevic, V, Monti, F, Sharma, R, Tao, J, Thomas-Wilsker, J, Wang, J, Zhang, H, Zhao, J, Agapitos, A, An, Y, Ban, Y, Chen, C, Levin, A, Li, Q, Lyu, X, Mao, Y, Qian, SJ, Wang, D, Wang, Q, Lu, M, You, Z, Gao, X, Okawa, H, Lin, Z, Xiao, M, Avila, C, Cabrera, A, Florez, C, Fraga, J, Guisao, JM, Ramirez, F, Alvarez, JDR, Gonzalez, CAS, Giljanovic, D, Godinovic, N, Lelas, D, Puljak, I, Antunovic, Z, Kovac, M, Sculac, T, Brigljevic, V, Ferencek, D, Majumder, D, Mishra, S, Roguljic, M, Starodumov, A, Susa, T, Attikis, A, Christoforou, K, Erodotou, E, Ioannou, A, Kole, G, Kolosova, M, Konstantinou, S, Mousa, J, Nicolaou, C, Ptochos, F, Razis, PA, Rykaczewski, H, Saka, H, Finger, M, Kveton, A, Ayala, E, Jarrin, EC, Abdalla, H, Assran, Y, Mahmoud, MA, Mohammed, Y, Ahmed, I, Bhowmik, S, Dewanjee, RK, Ehataht, K, Kadastik, M, Nandan, S, Nielsen, C, Pata, J, Raidal, M, Tani, L, Veelken, C, Eerola, P, Forthomme, L, Kirschenmann, H, Osterberg, K, Voutilainen, M, Bharthuar, S, Brucken, E, Garcia, F, Havukainen, J, Kim, MS, Kinnunen, R, Lampen, T, Lassila-Perini, K, Lehti, S, Linden, T, Lotti, M, Martikainen, L, Myllymaki, M, Ott, J, Siikonen, H, Tuominen, E, Tuominiemi, J, Luukka, P, Petrow, H, Tuuva, T, Amendola, C, Besancon, M, Couderc, F, Dejardin, M, Denegri, D, Faure, JL, Ferri, F, Ganjour, S, Givernaud, A, Gras, P, de Monchenault, GH, Jarry, P, Lenzi, B, Locci, E, Malcles, J, Rander, J, Rosowsky, A, Sahin, MO, Savoy-Navarro, A, Titov, M, Yu, GB, Ahuja, S, Beaudette, F, Bonanomi, M, Perraguin, AB, Busson, P, Cappati, A, Charlot, C, Davignon, O, Diab, B, Falmagne, G, Ghosh, S, de Cassagnac, RG, Hakimi, A, Kucher, I, Motta, J, Nguyen, M, Ochando, C, Paganini, P, Rembser, J, Salerno, R, Sarkar, U, Sauvan, JB, Sirois, Y, Tarabini, A, Zabi, A, Zghiche, A, Agram, L, Andrea, J, Apparu, D, Bonnin, C, Bourgatte, G, Brom, JM, Chabert, EC, Charles, L, Collard, C, Dangelser, E, Darej, D, Fontaine, C, Goerlach, U, Grimault, C, Gross, L, Haas, C, Krauth, M, Le Bihan, AC, Nibigira, E, Ollivier-henry, N, Jimenez, ES, Van Hove, P, Asilar, E, Baulieu, G, Beauceron, S, Bernet, C, Boudoul, G, Camen, C, Caponetto, L, Carle, A, Chanon, N, Contardo, D, Dene, P, Depasse, P, Dupasquier, T, El Mamouni, H, Fay, J, Galbit, G, Gascon, S, Gouzevitch, M, Ille, B, Laktineh, IB, Lattaud, H, Lesauvage, A, Lethuillier, M, Lumb, N, Mirabito, L, Nodari, B, Perries, S, Shchablo, K, Sordini, V, Torterotot, L, Touquet, G, Vander Donckt, M, Viret, S, Lomidze, I, Toriashvili, T, Tsamalaidze, Z, Autermann, C, Botta, V, Feld, L, Karpinski, W, Kiesel, MK, Klein, K, Lipinski, M, Louis, D, Meuser, D, Pauls, A, Pierschel, G, Rauch, MP, Rowert, N, Schomakers, C, Schulz, J, Teroerde, M, Wlochal, M, Dodonova, A, Eliseev, D, Erdmann, M, Fackeldey, P, Fischer, B, Hebbeker, T, Hoepfner, K, Ivone, F, Mastrolorenzo, L, Merschmeyer, M, Meyer, A, Mocellin, G, Mondal, S, Mukherjee, S, Noll, D, Novak, A, Pook, T, Pozdnyakov, A, Rath, Y, Reithler, H, Roemer, J, Schmidt, A, Schuler, SC, Sharma, A, Vigilante, L, Wiedenbeck, S, Zaleski, S, Dziwok, C, Flugge, G, Ahmad, WH, Hlushchenko, O, Kress, T, Nowack, A, Pistone, C, Pooth, O, Roy, D, Sert, H, Stahl, A, Ziemons, T, Zotz, A, Petersen, HA, Martin, MA, Asmuss, P, Baxter, S, Bayatmakou, M, Behnke, O, Martinez, AB, Bertsche, D, Bhattacharya, S, Bin Anuar, AA, Borras, K, Brunner, D, Campbell, A, Cardini, A, Cheng, C, Colombina, F, Rodriguez, SC, Silva, GC, Danilov, V, De Silva, M, Didukh, L, Damiani, DD, Eckerlin, G, Eckstein, D, Banos, LIE, Filatov, O, Gallo, E, Geiser, A, Giraldi, A, Luyando, JMG, Grohsjean, A, Guthoff, M, Jafari, A, Jomhari, NZ, Jung, H, Kasem, A, Kasemann, M, Kaveh, H, Kleinwort, C, Krucker, D, Lange, W, Lidrych, J, Lipka, K, Lohmann, W, Mankel, R, Maser, H, Melzer-Pellmann, IA, Morentin, MM, Metwally, J, Meyer, AB, Meyer, M, Mittag, G, Mnich, J, Muhl, C, Mussgiller, A, Otarid, Y, Adan, DP, Pitzl, D, Raspereza, A, Reichelt, O, Lopes, BR, Rubenach, J, Saggio, A, Saibel, A, Savitskyi, M, Scham, M, Scheurer, V, Schutze, P, Schwanenberger, C, Shchedrolosiev, M, Shevchenko, R, Ricardo, RES, Stafford, D, Stever, R, Tonon, N, Van De Klundert, M, Velyka, A, Walsh, R, Walter, D, Wen, Y, Wichmann, K, Wiens, L, Wissing, C, Wuchterl, S, Zuber, A, Aggleton, R, Albrecht, S, Bein, S, Benato, L, Biskop, H, Buhmann, P, Connor, P, De Leo, K, Eich, M, Feindt, F, Frohlich, A, Garbers, C, Garutti, E, Gunnellini, P, Hajheidari, M, Haller, J, Hinzmann, A, Jabusch, HR, Kasieczka, G, Klanner, R, Kogler, R, Kramer, T, Kutzner, V, Lange, J, Lange, T, Lobanov, A, Malara, A, Martens, S, Mrowietz, M, Niemeyer, CEN, Nigamova, A, Nissan, Y, Rodriguez, KJP, Rieger, O, Schleper, P, Schroder, M, Schwandt, J, Sonneveld, J, Stadie, H, Steinbruck, G, Tews, A, Vormwald, B, Wellhausen, J, Zoi, I, Ardila-Perez, LE, Balzer, M, Barvich, T, Bechtel, J, Blank, T, Brommer, S, Burkart, M, Butz, E, Caselle, M, Caspart, R, Chwalek, T, De Boer, W, Dierlamm, A, Droll, A, El Morabit, K, Faltermann, N, Giffels, M, Gosewisch, JO, Gottmann, A, Hartmann, F, Heidecker, C, Husemann, U, Keicher, P, Koppenhofer, R, Maier, S, Metzler, M, Mitra, S, Muller, T, Neufeld, M, Neukum, M, Nurnberg, A, Quast, G, Rabbertz, K, Rauser, J, Sander, O, Savoiu, D, Schell, D, Schnepf, M, Seith, D, Shvetsov, I, Simonis, HJ, Stanulla, J, Steck, P, Ulrich, R, Van der Linden, J, Von Cube, RF, Wassmer, M, Weber, M, Weddigen, A, Wieland, S, Wittig, F, Wolf, R, Wozniewski, S, Wunsch, S, Anagnostou, G, Assiouras, P, Daskalakis, G, Geralis, T, Kazas, I, Kyriakis, A, Loukas, D, Papadopoulos, A, Stakia, A, Diamantopoulou, M, Karasavvas, D, Karathanasis, G, Kontaxakis, P, Koraka, CK, Manousakis-Katsikakis, A, Panagiotou, A, Papavergou, I, Saoulidou, N, Theofilatos, K, Tziaferi, E, Vellidis, K, Vourliotis, E, Bakas, G, Kousouris, K, Papakrivopoulos, I, Tsipolitis, G, Zacharopoulou, A, Zografos, A, Adamidis, K, Bestintzanos, I, Evangelou, I, Foudas, C, Gianneios, P, Katsoulis, P, Kokkas, P, Manthos, N, Papadopoulos, I, Strologas, J, Csanad, M, Farkas, K, Gadallah, MMA, Major, P, Mandal, K, Mehta, A, Pasztor, G, Suranyi, O, Veres, GI, Balazs, T, Bencze, G, Hajdu, C, Horvath, D, Marton, K, Sikler, F, Veszpremi, V, Czellar, S, Karancsi, J, Molnar, J, Szillasi, Z, Teyssier, D, Raics, P, Trocsanyi, ZL, Ujvari, B, Csorgo, T, Nemes, F, Novak, T, Choudhury, S, Komaragiri, JR, Kumar, D, Panwar, L, Tiwari, PC, Bahinipati, S, Das, AK, Kar, C, Mal, P, Mishra, T, Mohanty, R, Bindhu, VKMN, Nayak, A, Saha, P, Sur, N, Swain, SK, Vats, D, Bansal, S, Beri, SB, Bhatnagar, V, Chaudhary, G, Chauhan, S, Dhingra, N, Gupta, R, Kaur, A, Kaur, M, Kaur, S, Kumari, P, Meena, M, Sandeep, K, Singh, JB, Virdi, AK, Ahmed, A, Bhardwaj, A, Choudhary, BC, Gola, M, Jain, C, Jain, G, Keshri, S, Kumar, A, Naimuddin, M, Priyanka, P, Ranjan, K, Saumya, S, Shah, A, Bharti, M, Bhattacharya, R, Bhowmik, D, Dutta, S, Gomber, B, Maity, M, Palit, P, Rout, PK, Saha, G, Sahu, B, Sarkar, S, Sharan, M, Singh, B, Thakur, S, Behera, PK, Behera, SC, Kalbhor, P, Muhammad, A, Pradhan, R, Pujahari, PR, Sikdar, AK, Dutta, D, Jha, V, Kumar, V, Mishra, DK, Naskar, K, Netrakanti, PK, Pant, LM, Shukla, P, Aziz, T, Dugad, S, Kumar, M, Banerjee, S, Chudasama, R, Guchait, M, Karmakar, S, Kumar, S, Majumder, G, Mazumdar, K, Alpana, K, Dube, S, Kansal, B, Laha, A, Pandey, S, Rane, A, Rastogi, A, Sharma, S, Bakhshiansohi, H, Khazaie, E, Zeinali, M, Abbas, SM, Chenarani, S, Etesami, SM, Khakzad, M, Najafabadi, MM, Grunewald, M, Abbrescia, M, Aly, R, Aruta, C, Cariola, P, Colaleo, A, Creanza, D, De Filippis, N, De Palma, M, De Robertis, G, Di Florio, A, Di Pilato, A, Elmetenawee, W, Fiore, L, Gelmi, A, Gul, M, Iaselli, G, Ince, M, Lezki, S, Loddo, F, Maggi, G, Maggi, M, Margjeka, I, Martiradonna, S, Mastrapasqua, V, Merlin, JA, Mongelli, A, My, S, Nuzzo, S, Pellecchia, A, Pompili, A, Pugliese, G, Ramos, D, Ranieri, A, Selvaggi, G, Silvestris, L, Simone, FM, Venditti, R, Verwilligen, P, Abbiendi, G, Battilana, C, Bonacorsi, D, Borgonovi, L, Brigliadori, L, Campanini, R, Capiluppi, P, Castro, A, Cavallo, FR, Cuffiani, M, Dallavalle, GM, Diotalevi, T, Fabbri, F, Fanfani, A, Giacomelli, P, Giommi, L, Grandi, C, Guiducci, L, Lo Meoa, S, Lunerti, L, Marcellini, S, Masetti, G, Navarria, FL, Perrotta, A, Primavera, F, Rossi, AM, Rovelli, T, Siroli, GP, Albergo, S, Costa, S, Di Mattia, A, Potenza, R, Saizu, MA, Tricomi, A, Tuve, C, Barbagli, G, Brianzi, M, Cassese, A, Ceccarelli, R, Ciaranfi, R, Ciulli, V, Civinini, C, D'Alessandro, R, Fiori, F, Focardi, E, Latino, G, Lenzi, P, Lizzo, M, Meschini, M, Paoletti, S, Seidita, R, Sguazzoni, G, Viliani, L, Benussi, L, Bianco, S, Piccolo, D, Bozzo, M, Ferro, F, Mulargia, R, Robutti, E, Tosi, S, Benaglia, A, Boldrini, G, Brivio, F, Cetorelli, F, De Guio, F, Dinardo, ME, Dini, P, Gennai, S, Ghezzi, A, Govoni, P, Guzzi, L, Lucchini, MT, Malberti, M, Malvezzi, S, Massironi, A, Menasce, D, Moroni, L, Paganoni, M, Pedrini, D, Pinolini, BS, Ragazzi, S, Redaelli, N, de Fatis, TT, Valsecchi, D, Zuolo, D, Marconi, G, Buontempo, S, Carnevali, F, Cavallo, N, De Iorio, A, Fabozzi, F, Iorio, AOM, Lista, L, Meola, S, Paolucci, P, Rossi, B, Sciacca, C, Azzi, P, Bacchetta, N, Bisello, D, Bortignon, P, Bragagnolo, A, Carlin, R, Checchia, P, Dorigo, T, Dosselli, U, Gasparini, F, Gasparini, U, Grosso, G, Hoh, SY, Layer, L, Lusiani, E, Margoni, M, Meneguzzo, AT, Pazzini, J, Ronchese, P, Rossin, R, Simonetto, F, Strong, G, Tosi, M, Yarar, H, Zanetti, M, Zotto, P, Zucchetta, A, Zumerle, G, Aime, C, Braghieri, A, Calzaferri, S, Fiorina, D, Gaioni, L, Manghisoni, M, Montagna, P, Ratti, L, Ratti, SP, Re, V, Riccardi, C, Riceputi, E, Salvini, P, Traversi, G, Vai, I, Vitulo, P, Asenov, P, Baldinelli, G, Bianchi, F, Bilei, GM, Bizzaglia, S, Checcucci, B, Ciangottini, D, Fano, L, Farnesini, L, Ionica, M, Lariccia, P, Magherini, M, Mantovani, G, Mariani, V, Menichelli, M, Morozzi, A, Moscatelli, F, Passeri, D, Piccinelli, A, Placidi, P, Presilla, M, Rossi, A, Santocchia, A, Spiga, D, Storchi, L, Tedeschi, T, Turrioni, C, Azzurri, P, Bagliesi, G, Basti, A, Beccherle, R, Bertacchi, V, Bianchini, L, Boccali, T, Bosi, F, Bossini, E, Castaldi, R, Ciocci, MA, D'Amante, V, Dell'Orso, R, Di Domenico, MR, Donato, S, Giassi, A, Grippo, MT, Ligabue, F, Magazzu, G, Manca, E, Mandorli, G, Massa, M, Mazzoni, E, Messineo, A, Moggi, A, Morsani, F, Palla, F, Parolia, S, Raffaelli, F, Ramirez-Sanchez, G, Rizzi, A, Rolandi, G, Chowdhury, SR, Scribano, A, Shafiei, N, Spagnolo, P, Tenchini, R, Tonelli, G, Turini, N, Venturi, A, Verdini, PG, Barria, P, Campana, M, Cavallari, F, Del Re, D, Di Marco, E, Diemoz, M, Longo, E, Meridiani, P, Organtini, G, Pandolfi, F, Paramatti, R, Quaranta, C, Rahatlou, S, Rovelli, C, Santanastasio, F, Soffi, L, Tramontano, R, Amapane, N, Arcidiacono, R, Argiro, S, Arneodo, M, Bartosik, N, Bellan, R, Bellora, A, Antequera, JB, Biino, C, Cartiglia, N, Coli, S, Cometti, S, Costa, M, Covarelli, R, Dellacasa, G, Demaria, N, Garbolino, S, Grippo, M, Kiani, B, Legger, F, Mariotti, C, Maselli, S, Migliore, E, Monteil, E, Monteno, M, Obertino, MM, Ortona, G, Pacher, L, Pastrone, N, Pelliccioni, M, Angioni, GLP, Rivetti, A, Ruspa, M, Shchelina, K, Siviero, F, Sola, V, Solano, A, Soldi, D, Staiano, A, Tornago, M, Trocino, D, Vagnerini, A, Belforte, S, Candelise, V, Casarsa, M, Cossutti, F, Da Rold, A, Della Ricca, G, Sorrentino, G, Vazzoler, F, Dogra, S, Huh, C, Kim, B, Kim, DH, Kim, GN, Kim, J, Lee, J, Lee, SW, Moon, CS, Oh, YD, Pak, SI, Radburn-Smith, BC, Sekmen, S, Yang, YC, Kim, H, Moon, DH, Francois, B, Kim, TJ, Park, J, Cho, S, Choi, S, Go, Y, Hong, B, Lee, KS, Lim, J, Park, SK, Yoo, J, Goh, J, Gurtu, A, Kim, HS, Kim, Y, Almond, J, Bhyun, JH, Choi, J, Jeon, S, Kim, JS, Ko, S, Kwon, H, Lee, H, Lee, S, Oh, BH, Oh, M, Oh, SB, Seo, H, Yang, UK, Yoon, I, Jang, W, Kang, DY, Kang, Y, Kim, S, Ko, B, Lee, JSH, Lee, Y, Park, IC, Roh, Y, Ryu, MS, Song, D, Watson, IJ, Yang, S, Ha, S, Yoo, HD, Choi, M, Yu, I, Beyrouthy, T, Maghrbi, Y, Veckalns, V, Ambrozas, M, De Oliveira, ACA, Juodagalvis, A, Rinkevicius, A, Tamulaitis, G, Bin Norjoharuddeen, N, Abdullah, WATW, Yusli, MN, Zolkapli, Z, Benitez, JF, Hernandez, AC, Coello, ML, Quijada, JAM, Sehrawat, A, Palomo, LV, Ayala, G, Castilla-Valdez, H, De la Cruz-Burelo, E, Heredia-De la Cruz, I, LopezFernandez, R, Herrera, CAM, Navarro, DAP, Hernandez, AS, Moreno, SC, Barrera, CO, Valencia, FV, Pedraza, I, Ibarguen, HAS, Estrada, CU, Mijuskovic, J, Raicevic, N, Krofcheck, D, Butler, PH, Ahmad, A, Asghar, MI, Awais, A, Awan, MIM, Hoorani, HR, Khan, WA, Shah, MA, Shoaib, M, Waqas, M, Avati, V, Grzanka, L, Malawski, M, Bialkowska, H, Bluj, M, Boimska, B, Gorski, M, Kazana, M, Szleper, M, Zalewski, P, Bunkowski, K, Doroba, K, Kalinowski, A, Konecki, M, Krolikowski, J, Araujo, M, Bargassa, P, Bastos, D, Boletti, A, Faccioli, P, Gallinaro, M, Hollar, J, Leonardo, N, Niknejad, T, Pisano, M, Seixas, J, Toldaiev, O, Varela, J, Afanasiev, S, Budkouski, D, Golutvin, I, Gorbunov, I, Karjavine, V, Korenkov, V, Lanev, A, Malakhov, A, Matveev, V, Palichik, V, Perelygin, V, Savina, M, Seitova, D, Shalaev, V, Shmatov, S, Shulha, S, Smirnov, V, Teryaev, O, Voytishin, N, Yuldashev, BS, Zarubin, A, Zhizhin, I, Gavrilov, G, Golovtcov, V, Ivanov, Y, Kim, V, Kuznetsova, E, Murzin, V, Oreshkin, V, Smirnov, I, Sosnov, D, Sulimov, V, Uvarov, L, Volkov, S, Vorobyev, A, Andreev, U, Dermenev, A, Gninenko, S, Golubev, N, Karneyeu, A, Kirpichnikov, D, Kirsanov, M, Krasnikov, N, Pashenkov, A, Pivovarov, G, Toropin, A, Epshteyn, V, Gavrilov, V, Lychkovskaya, N, Nikitenko, A, Popov, V, Stepennov, A, Toms, M, Vlasov, E, Zhokin, A, Aushev, T, Bychkova, O, Chadeeva, M, Parygin, P, Popova, E, Rusinov, V, Selivanova, D, Andreev, V, Azarkin, M, Dremin, I, Kirakosyan, M, Terkulov, A, Belyaev, A, Boos, E, Dubinin, M, Dudko, L, Ershov, A, Gribushin, A, Kaminskiy, A, Klyukhin, V, Kodolova, O, Lokhtin, I, Obraztsov, S, Petrushanko, S, Savrin, V, Blinov, V, Dimova, T, Kardapoltsev, L, Kozyrev, A, Ovtin, I, Radchenko, O, Skovpen, Y, Azhgirey, I, Bayshev, I, Elumakhov, D, Kachanov, V, Konstantinov, D, Mandrik, P, Petrov, V, Ryutin, R, Slabospitskii, S, Sobol, A, Troshin, S, Tyurin, N, Uzunian, A, Volkov, A, Babaev, A, Okhotnikov, V, Borshch, V, Ivanchenko, V, Tcherniaev, E, Adzic, P, Dordevic, M, Milenovic, P, Milosevic, J, Aguilar-Benitez, M, Maestre, JA, Fernandez, AA, Bachiller, I, Luna, MB, Bedoya, CF, Montoya, CAC, Cepeda, M, Cerrada, M, Colino, N, De la Cruz, B, Peris, AD, Ramos, JPF, Flix, J, Fouz, MC, Lopez, OG, Lopez, SG, Hernandez, JM, Josa, MI, Holgado, JL, Moran, D, Tobar, AN, Dengra, CP, Yzquierdo, APC, Pelayo, JP, Redondo, I, Romero, L, Navas, SS, Gomez, LU, Willmott, C, de Troconiz, JF, Reyes-Almanza, R, Gonzalez, BA, Cuevas, J, Erice, C, Menendez, JF, Folgueras, S, Caballero, IG, Fernandez, JRG, Cortezon, EP, Alvarez, CR, Bouza, VR, Rodriguez, AS, Trapote, A, Trevisani, N, Villalba, CV, Cifuentes, JAB, Cabrillo, IJ, Calderon, A, Curras, E, Campderros, JD, Fernandez, M, Madrazo, CF, Manteca, PJF, Alonso, AG, Gomez, G, Sanchez, JG, Echeverria, RWJ, Rivero, CM, del Arbol, PMR, Matorras, F, Cuevas, PM, Moya, D, Gomez, JP, Prieels, C, Rodrigo, T, Ruiz-Jimeno, A, Scodellaro, L, Vila, I, Virto, AL, Garcia, JMV, Jayananda, MK, Kailasapathy, B, Sonnadara, DUJ, Wickramarathna, DDC, Dharmaratna, WGD, Liyanage, K, Perera, N, Wickramage, N, Aarrestad, TK, Abbaneo, D, Albert, E, Alimena, J, Auffray, E, Auzinger, G, Baechler, J, Baillon, P, Barinoff, M, Barney, D, Lopes, JB, Bendavid, J, Bergamin, G, Bianco, M, Blanchot, G, Bocci, A, Boyer, F, Camporesi, T, Garrido, MC, Caratelli, A, Carnesecchi, R, Ceresa, D, Cerminara, G, Chernyavskaya, N, Chhibra, SS, Christiansen, J, Cichy, K, Cipriani, M, Cristella, L, D'Enterria, D, Dabrowski, A, Daguin, J, David, A, De Roeck, A, Defranchis, MM, Deile, M, Detraz, S, Dobson, M, Dudek, M, Dunser, M, Dupont, N, Elliott-Peisert, A, Emriskova, N, Fallavollita, F, Fasanella, D, De Almeida, JPFDS, Filenius, A, Florent, A, Frank, N, Franzoni, G, French, T, Funk, W, Giani, S, Gigi, D, Gill, K, Glege, F, Gouskos, L, Haranko, M, Hegeman, J, Hollos, AE, Hugo, G, Innocente, V, James, T, Janot, P, Kaplon, J, Kaspar, J, Kerekes, Z, Kieseler, J, Kloukinas, K, Komm, M, Koss, N, Kottelat, LJ, Kovacs, MI, Kratochwil, N, La Rosa, A, Lange, C, Laurila, S, Lecoq, P, Lenoir, P, Lintuluoto, A, Long, K, Loos, R, Lourenco, C, Maier, B, Malgeri, L, Mallios, S, Mannelli, M, Marchioro, A, Marini, AC, Dominguez, IM, Meijers, F, Mersi, S, Meschi, E, Michelis, S, Millet, A, Moortgat, F, Mulders, M, Onnela, A, Orfanelli, S, Orsini, L, Pakulski, T, Pantaleo, F, Pape, L, Perez, A, Perez, E, Gomez, FP, Pernot, JF, Peruzzi, M, Petagna, P, Petrilli, A, Petrucciani, G, Pfeiffer, A, Piazza, Q, Pierini, M, Piparo, D, Pitt, M, Postema, H, Qu, H, Quast, T, Rabady, D, Racz, A, Gutierrez, GR, Rieger, M, Rose, P, Rovere, M, Sakulin, H, Salfeld-Nebgen, J, Scarfi, S, Schafer, C, Schwick, C, Selvaggi, M, Silva, P, Sinani, M, Snoeys, W, Sphicas, P, Summers, S, Tatar, K, Rego, RT, Tavolaro, VR, Treille, D, Tropea, P, Troska, J, Tsirou, A, Van Onsem, GP, Vasey, F, Vichoudis, P, Wanczyk, J, Wozniak, KA, Zeuner, WD, Bertl, W, Caminada, L, Ebrahimi, A, Erdmann, W, Horisberger, R, Ingram, Q, Kaestli, HC, Kotlinski, D, Langenegger, U, Meier, B, Missiroli, M, Noehte, L, Rohe, T, Streuli, S, Androsov, K, Backhaus, M, Becker, R, Berger, P, Calandri, A, Di Calafiori, DRD, De Cosa, A, Dissertori, G, Dittmar, M, Djambazov, L, Donega, M, Dorfer, C, Eble, F, Gedia, K, Glessgen, F, Espinosa, TAG, Grab, C, Hits, D, Lustermann, W, Lyon, AM, Manzoni, RA, Marchese, L, Perez, CM, Meinhard, MT, Nessi-Tedaldi, F, Niedziela, J, Pauss, F, Perovic, V, Pigazzini, S, Ratti, MG, Reichmann, M, Reissel, C, Reitenspiess, T, Ristic, B, Roser, U, Ruini, D, Becerra, DAS, Soerensen, J, Stampf, V, Steggemann, J, Wallny, R, Zhu, DH, Amsler, C, Bartschi, P, Bosiger, K, Botta, C, Brzhechko, D, Canelli, MF, Cormier, K, De Wit, A, Del Burgo, R, Heikkila, JK, Huwiler, M, Jin, W, Jofrehei, A, Kilminster, B, Leontsinis, S, Liechti, SP, Macchiolo, A, Maier, R, Meiring, P, Mikuni, VM, Molinatti, U, Neutelings, I, Reimers, A, Robmann, P, Cruz, SS, Schweiger, K, Takahashi, Y, Wolf, D, Adloff, C, Kuo, CM, Lin, W, Roy, A, Sarkar, T, Yu, SS, Ceard, L, Chao, Y, Chen, KF, Chen, PH, Hou, WS, Li, YY, Lu, RS, Paganis, E, Psallidas, A, Steen, A, Wu, HY, Yazgan, E, Yu, PR, Asavapibhop, B, Asawatangtrakuldee, C, Srimanobhas, N, Boran, F, Damarseckin, S, Demiroglu, ZS, Dolek, F, Dumanoglu, I, Eskut, E, Guler, Y, Guler, EG, Isik, C, Kara, O, Topaksu, AK, Kiminsu, U, Onengut, G, Ozdemir, K, Polatoz, A, Simsek, AE, Tali, B, Tok, UG, Turkcapar, S, Zorbakir, IS, Isildak, B, Karapinar, G, Ocalan, K, Yalvac, M, Akgun, B, Atakisi, IO, Gulmez, E, Kaya, M, Kaya, O, Tekten, S, Yetkin, EA, Cakir, A, Cankocak, K, Komurcu, Y, Sen, S, Cerci, S, Hos, I, Kaynak, B, Ozkorucuklu, S, Cerci, DS, Zorbilmez, C, Grynyov, B, Levchuk, L, Anthony, D, Bhal, E, Bologna, S, Brooke, JJ, Bundock, A, Clement, E, Cussans, D, Flacher, H, Goldstein, J, Heath, GP, Heath, HF, Kreczko, L, Krikler, B, Paramesvaran, S, El Nasr-Storey, SS, Smith, VJ, Stylianou, N, Pass, KW, White, R, Bell, KW, Brew, C, Brown, RM, Cockerill, DJA, Cooke, C, Coughlan, JA, Ellis, KV, Harder, K, Harper, S, Holmberg, L, Linacre, J, Manolopoulos, K, Newbold, DM, Olaiya, E, Petyt, D, Reis, T, Schuh, T, Shepherd-Themistocleous, CH, Tomalin, IR, Williams, T, Bainbridge, R, Bloch, P, Bonomally, S, Borg, J, Breeze, S, Brown, CE, Buchmuller, O, Cepaitis, V, Chahal, GS, Colling, D, Dauncey, P, Davies, G, Della Negra, M, Fayer, S, Fedi, G, Hall, G, Hassanshahi, MH, Iles, G, Langford, J, Lyons, L, Magnan, M, Malik, S, Martelli, A, Monk, DG, Nash, J, Pesaresi, M, Raymond, DM, Richards, A, Rose, A, Scott, E, Seez, C, Shtipliyski, A, Tapper, A, Uchida, K, Virdee, T, Vojinovic, M, Wardle, N, Webb, SN, Winterbottom, D, Coldham, K, Cole, JE, Ghorbani, M, Khan, A, Kyberd, P, Reid, ID, Teodorescu, L, Zahid, S, Abdullin, S, Brinkerhoff, A, Caraway, B, Dittmann, J, Hatakeyama, K, Kanuganti, AR, McMaster, B, Pastika, N, Saunders, M, Sawant, S, Sutantawibul, C, Wilson, J, Bartek, R, Dominguez, A, Uniyal, R, Hernandez, AMV, Buccilli, A, Cooper, SI, Di Croce, D, Gleyzer, SV, Henderson, C, Perez, CU, Rumerio, P, West, C, Akpinar, A, Albert, A, Arcaro, D, Cosby, C, Demiragli, Z, Fontanesi, E, Gastler, D, Hazen, E, May, S, Peck, A, Rohlf, J, Salyer, K, Sperka, D, Spitzbart, D, Suarez, I, Tsatsos, A, Yuan, S, Zou, D, Benelli, G, Burkle, B, Coubez, X, Cutts, D, Hadley, M, Heintz, U, Hinton, N, Hogan, JM, Honma, A, Korotkov, A, Kwon, T, Landsberg, G, Lau, KT, Li, D, Lukasik, M, Luo, J, Narain, M, Pervan, N, Sagir, S, Simpson, F, Spencer, E, Usai, E, Wong, WY, Yan, X, Yu, D, Zhang, W, Bonilla, J, Brainerd, C, Breedon, R, Sanchez, MCD, Cannaert, E, Chertok, M, Conway, J, Cox, PT, Erbacher, R, Haza, G, Hemer, D, Jensen, F, Kukral, O, Lander, R, Mulhearn, M, Pellett, D, Regnery, B, Taylor, D, Thomson, J, Wei, W, Welton, T, Yao, Y, Zhang, F, Bachtis, M, Cousins, R, Datta, A, Hamilton, D, Hauser, J, Ignatenko, M, Iqbal, MA, Lam, T, Nash, WA, Regnard, S, Saltzberg, D, Stone, B, Valuev, V, Burt, K, Chen, Y, Clare, R, Gary, JW, Gordon, M, Hanson, G, Karapostoli, G, Long, OR, Manganelli, N, Negrete, MO, Si, W, Wimpenny, S, Zhang, Y, Branson, JG, Chang, P, Cittolin, S, Cooperstein, S, Deelen, N, Diaz, D, Duarte, J, Gerosa, R, Giannini, L, Gilbert, D, Guiang, J, Kansal, R, Krutelyov, V, Lee, R, Letts, J, Masciovecchio, M, Pieri, M, Narayanan, BVS, Sharma, V, Tadel, M, Vartak, A, Wurthwein, F, Xiang, Y, Yagil, A, Amin, N, Campagnari, C, Citron, M, Dorsett, A, Dutta, V, Incandela, J, Kilpatrick, M, Kyre, S, Marsh, B, Mei, H, Oshiro, M, Quinnan, M, Richman, J, Sarica, U, Setti, F, Sheplock, J, Stuart, D, Wang, S, Bornheim, A, Cerri, O, Dutta, I, Lawhorn, JM, Lu, N, Mao, J, Newman, HB, Nguyen, TQ, Spiropulu, M, Vlimant, JR, Wang, C, Xie, S, Zhang, Z, Zhu, RY, Alison, J, An, S, Andrews, MB, Bryant, P, Ferguson, T, Harilal, A, Liu, C, Mudholkar, T, Paulini, M, Sanchez, A, Terrill, W, Cumalat, JP, Ford, WT, Hassani, A, MacDonald, E, Patel, R, Perloff, A, Savard, C, Stenson, K, Ulmer, KA, Wagner, SR, Alexander, J, Bright-Thonney, S, Cheng, Y, Cranshaw, DJ, Fan, J, Hogan, S, Lantz, S, Monroy, J, Fuentes, YP, Patterson, JR, Quach, D, Reichert, J, Reid, M, Riley, D, Ryd, A, Smolenski, K, Strohman, C, Sun, W, Thom, J, Wittich, P, Zou, R, Albrow, M, Alyari, M, Apollinari, G, Apresyan, A, Apyan, A, Bakshi, A, Bauerdick, LAT, Berry, D, Berryhill, J, Bhat, PC, Burkett, K, Butler, D, Butler, JN, Canepa, A, Cerati, GB, Cheung, HWK, Chlebana, F, Cremonesi, M, Derylo, G, Di Petrillo, KF, Dickinson, J, Elvira, VD, Feng, Y, Freeman, J, Gecse, Z, Ghosh, A, Gingu, C, Gonzalez, H, Gray, L, Green, D, Grunendahl, S, Gutsche, O, Harris, RM, Heller, R, Herwig, TC, Hirschauer, J, Jayatilaka, B, Jindariani, S, Johnson, M, Joshi, U, Klabbers, P, Klijnsma, T, Klima, B, Kwok, KHM, Lammel, S, Lei, CM, Lincoln, D, Lipton, R, Liu, T, Madrid, C, Maeshima, K, Mantilla, C, Mason, D, McBride, P, Merkel, P, Mrenna, S, Nahn, S, Ngadiuba, J, O'Dell, V, Papadimitriou, V, Pedro, K, Pena, C, Prokofyev, O, Ravera, F, Hall, AR, Ristori, L, Sexton-Kennedy, E, Smith, N, Soha, A, Spalding, WJ, Spiegel, L, Stoynev, S, Strait, J, Taylor, L, Tkaczyk, S, Tran, NV, Uplegger, L, Vaandering, EW, Voirin, E, Weber, HA, Acosta, D, Avery, P, Bourilkov, D, Cadamuro, L, Cherepanov, V, Errico, F, Field, RD, Guerrero, D, Joshi, BM, Kim, M, Koenig, E, Konigsberg, J, Korytov, A, Lo, KH, Matchev, K, Menendez, N, Mitselmakher, G, Madhu, AM, Rawal, N, Rosenzweig, D, Rosenzweig, S, Rotter, J, Shi, K, Sturdy, J, Yigitbasi, E, Zuo, X, Adams, T, Askew, A, Habibullah, R, Hagopian, V, Johnson, KF, Khurana, R, Kolberg, T, Martinez, G, Prosper, H, Schiber, C, Viazlo, O, Yohay, R, Zhang, J, Baarmand, MM, Butalla, S, Elkafrawy, T, Hohlmann, M, Verma, RK, Noonan, D, Rahmani, M, Yumiceva, F, Adams, MR, Gonzalez, HB, Cavanaugh, R, Chen, X, Dittmer, S, Evdokimov, A, Evdokimov, O, Gerber, CE, Hangal, DA, Hofman, DJ, Merrit, AH, Mills, C, Oh, G, Roy, T, Rudrabhatla, S, Tonjes, MB, Varelas, N, Viinikainen, J, Wang, X, Wu, Z, Ye, Z, Alhusseini, M, Dilsiz, K, Durgut, S, Gandrajula, RP, Koseyan, OK, Merlo, JP, Mestvirishvili, A, Nachtman, J, Ogul, H, Onel, Y, Penzo, A, Rude, C, Snyder, C, Tiras, E, Amram, O, Blumenfeld, B, Corcodilos, L, Davis, J, De Havenon, V, Eminizer, M, Feingold, J, Gritsan, AV, Kang, L, Kyriacou, S, Maksimovic, P, Martin, C, Roskes, J, Sullivan, K, Swartz, M, Vami, TA, You, C, Abreu, A, Anguiano, J, Barrera, CB, Baringer, P, Bean, A, Bylinkin, A, Flowers, Z, Isidori, T, Khalil, S, King, J, Krintiras, G, Kropivnitskaya, A, Lazarovits, M, Lindsey, C, Marquez, J, Minafra, N, Murray, M, Nickel, M, Rogan, C, Royon, C, Salvatico, R, Sanders, S, Schmitz, E, Smith, C, Takaki, JDT, Warner, Z, Williams, J, Wilson, G, Duric, S, Ivanov, A, Kaadze, K, Kim, D, Maravin, Y, Mitchell, T, Modak, A, Nam, K, Taylor, R, Rebassoo, F, Wright, D, Adams, E, Baden, A, Baron, O, Belloni, A, Eno, SC, Hadley, NJ, Jabeen, S, Kellogg, RG, Koeth, T, Mignerey, AC, Nabili, S, Palmer, C, Seidel, M, Skuja, A, Wang, L, Wong, K, Abercrombie, D, Andreassi, G, Bi, R, Brandt, S, Busza, W, Cali, IA, D'Alfonso, M, Eysermans, J, Freer, C, Ceballos, GG, Goncharov, M, Harris, P, Hu, M, Klute, M, Kovalskyi, D, Krupa, J, Lee, YJ, Mironov, C, Paus, C, Rankin, D, Roland, C, Roland, G, Shi, Z, Stephans, GSF, Wang, Z, Wyslouch, B, Chatterjee, RM, Evans, A, Hansen, P, Hiltbrand, J, Krohn, M, Kubota, Y, Mans, J, Revering, M, Rusack, R, Saradhy, R, Schroeder, N, Strobbe, N, Wadud, MA, Acosta, JG, Cremaldi, LM, Oliveros, S, Perera, L, Summers, D, Avdeeva, E, Bloom, K, Bryson, M, Claes, DR, Fangmeier, C, Finco, L, Golf, F, Joo, C, Kravchenko, I, Meier, F, Musich, M, Reed, I, Siado, JE, Snow, GR, Tabb, W, Yan, F, Zecchinelli, AG, Agarwal, G, Bandyopadhyay, H, Hay, L, Iashvili, I, Kharchilava, A, McLean, C, Nguyen, D, Pekkanen, J, Rappoccio, S, Williams, A, Alverson, G, Barberis, E, Haddad, Y, Hortiangtham, A, Li, J, Madigan, G, Marzocchi, B, Morse, DM, Nguyen, V, Orimoto, T, Parker, A, Skinnari, L, Tishelman-Charny, A, Wamorkar, T, Wang, B, Wisecarver, A, Wood, D, Bueghly, J, Chen, Z, Gilbert, A, Gunter, T, Hahn, KA, Liu, Y, Odell, N, Schmitt, MH, Sung, K, Velasco, M, Band, R, Bucci, R, Das, A, Dev, N, Goldouzian, R, Hildreth, M, Anampa, KH, Jessop, C, Lannon, K, Lawrence, J, Loukas, N, Lutton, D, Marinelli, N, Mcalister, I, McCauley, T, Mcgrady, C, Mohrman, K, Musienko, Y, Ruchti, R, Siddireddy, P, Townsend, A, Wayne, M, Wightman, A, Zarucki, M, Zygala, L, Bylsma, B, Cardwell, B, Durkin, LS, Francis, B, Hill, C, Ornelas, MN, Wei, K, Winer, BL, Yates, BR, Addesa, FM, Bonham, B, Das, P, Dezoort, G, Elmer, P, Frankenthal, A, Greenberg, B, Haubrich, N, Higginbotham, S, Kalogeropoulos, A, Kopp, G, Kwan, S, Lange, D, Marlow, D, Mei, K, Ojalvo, I, Olsen, J, Stickland, D, Tully, C, Norberg, S, Vargas, JER, Bakshi, AS, Barnes, VE, Chawla, R, Das, S, Gutay, L, Jones, M, Jung, AW, Karmarkar, S, Kondratyev, D, Koshy, AM, Liu, M, Negro, G, Neumeister, N, Paspalaki, G, Piperov, S, Purohit, A, Schulte, JF, Stojanovic, M, Thieman, J, Wang, F, Xiao, R, Xie, W, Dolen, J, Parashar, N, Baty, A, Decaro, M, Dildick, S, Ecklund, KM, Freed, S, Gardner, P, Geurts, FJM, Li, W, Liu, H, Nussbaum, T, Padley, BP, Redjimi, R, Shi, W, Leiton, AGS, Zhang, L, Bodek, A, de Barbaro, P, Demina, R, Dulemba, JL, Fallon, C, Ferbel, T, Galanti, M, Garcia-Bellido, A, Hindrichs, O, Khukhunaishvili, A, Ranken, E, Taus, R, Bartz, E, Chiarito, B, Chou, JP, Gandrakota, A, Gershtein, Y, Halkiadakis, E, Hart, A, Heindl, M, Karacheban, O, Laflotte, I, Lath, A, Montalvo, R, Nash, K, Osherson, M, Salur, S, Schnetzer, S, Somalwar, S, Stone, R, Thayil, SA, Thomas, S, Acharya, H, Delannoy, AG, Fiorendi, S, Spanier, S, Bouhali, O, Dalchenko, M, Delgado, A, Eusebi, R, Gilmore, J, Huang, T, Kamon, T, Luo, S, Malhotra, S, Mueller, R, Overton, D, Rathjens, D, Safonov, A, Akchurin, N, Damgov, J, Hegde, V, Kunori, S, Lamichhane, K, Mengke, T, Muthumuni, S, Peltola, T, Volobouev, I, Whitbeck, A, Appelt, E, D'Angelo, P, Greene, S, Gurrola, A, Johns, W, Melo, A, Ni, H, Padeken, K, Romeo, F, Sheldon, P, Tuo, S, Velkovska, J, Arenton, MW, Cox, B, Cummings, G, Hakala, J, Hirosky, R, Joyce, M, Ledovskoy, A, Li, A, Neu, C, Lara, CEP, Tannenwald, B, White, S, Wolfe, E, Poudyal, N, Black, K, Bose, T, Caillol, C, Dasu, S, De Bruyn, I, Everaerts, P, Fienga, F, Galloni, C, He, H, Herndon, M, Herve, A, Hussain, U, Lanaro, A, Loeliger, A, Loveless, R, Sreekala, JM, Mallampalli, A, Mohammadi, A, Pinna, D, Savin, A, Shang, V, Smith, WH, Teague, D, Trembath-Reichert, S, Vetens, W, Damarseçkin, Serdal, Physics, Elementary Particle Physics, Faculty of Sciences and Bioengineering Sciences, Vriendenkring VUB, and Sağır, Sinan
Subjects: Technology, Physics - Instrumentation and Detectors, Physics::Instrumentation and Detectors, Tracker, Legacy reprocessing, measurement methods, tracking detector, alignment, Settore ING-INF/01 - Elettronica, Physics, Particles & Fields, PARTICLE PHYSICS, LARGE HADRON COLLIDER, CMS, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), tracking detector: alignment, Detector, Alignment, MillePede-II, HipPy, VERTEX, High energy physics, Experimental particle physics, LHC, p p: scattering, p p: colliding beams, B: decay, tau: hadronic decay, interaction: gauge, interaction: model, transverse momentum: missing-energy, new physics: search for, mass spectrum: transverse, black hole: quantum, vector boson: mass, W': leptonic decay, sensitivity, leptoquark: coupling, CERN LHC Coll, leptoquark: mass: lower limit, anomaly, channel cross section: upper limit, effective field theory, Higgs, Detectors and Experimental Techniques, Instruments & Instrumentation, physics.ins-det, Instrumentation, detector, alignment, Physics, Instrumentation and Detectors (physics.ins-det), Nuclear & Particles Physics, Physics, Nuclear, Physical Sciences, 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics, Engineering sciences. Technology, Particle Physics - Experiment, performance, Nuclear and High Energy Physics, 530 Physics, 0299 Other Physical Sciences, FOS: Physical sciences, 10192 Physics Institute, 114 Physical sciences, 0201 Astronomical and Space Sciences, ddc:530, 3106 Nuclear and High Energy Physics, CMS, performance, Nuclear Science & Technology, numerical calculations, Science & Technology, hep-ex, 3105 Instrumentation, silicon, Physics and Astronomy, alignment [tracking detector], semiconductor detector
Abstract: The strategies for and the performance of the CMS silicon tracking system alignment during the 2015-2018 data-taking period of the LHC are described. The alignment procedures during and after data taking are explained. Alignment scenarios are also derived for use in the simulation of the detector response. Systematic effects, related to intrinsic symmetries of the alignment task or to external constraints, are discussed and illustrated for different scenarios., Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1037, ISSN:0168-9002, ISSN:1872-9576
Published: 2022
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45. TEMPus VoLA: The timed Epstein multi-pressure vessel at low accelerations

Author: Capelo, H L, Kühn, J, Pommerol, A, Piazza, D, Brändli, M, Cerubini, R, Jost, B, Bodénan, Jean-David, Planchet, T, Spadaccia, S, Schräpler, R, Blum, J, Schönbächler, M, Mayer, L, Thomas, N, University of Zurich, and Capelo, H L
Subjects: Earth and Planetary Astrophysics (astro-ph.EP), 530 Physics, 520 Astronomy, 3105 Instrumentation, 620 Ingenieurwissenschaften, Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, 520 Astronomie, Physics - Fluid Dynamics, 000 Computer science, knowledge & systems, 620 Engineering, 530 Physik, 10231 Institute for Computational Science, 000 Informatik, Wissen, Systeme, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Instrumentation, Astrophysics - Earth and Planetary Astrophysics
Abstract: The field of planetary system formation relies extensively on our understanding of the aerodynamic interaction between gas and dust in protoplanetary disks. Of particular importance are the mechanisms triggering fluid instabilities and clumping of dust particles into aggregates, and their subsequent inclusion into planetesimals. We introduce the timed Epstein multi-pressure vessel at low accelerations, which is an experimental apparatus for the study of particle dynamics and rarefied gas under micro-gravity conditions. This facility contains three experiments dedicated to studying aerodynamic processes: (i) the development of pressure gradients due to collective particle-gas interaction, (ii) the drag coefficients of dust aggregates with variable particle-gas velocity, and (iii) the effect of dust on the profile of a shear flow and resultant onset of turbulence. The approach is innovative with respect to previous experiments because we access an untouched parameter space in terms of dust particle packing fraction, and Knudsen, Stokes, and Reynolds numbers. The mechanisms investigated are also relevant for our understanding of the emission of dust from active surfaces, such as cometary nuclei, and new experimental data will help interpreting previous datasets (Rosetta) and prepare future spacecraft observations (Comet Interceptor). We report on the performance of the experiments, which has been tested over the course of multiple flight campaigns. The project is now ready to benefit from additional flight campaigns, to cover a wide parameter space. The outcome will be a comprehensive framework to test models and numerical recipes for studying collective dust particle aerodynamics under space-like conditions., Review of Scientific Instruments, 93 (10), ISSN:0034-6748, ISSN:1089-7623
Published: 2022
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46. The CMS MTD Endcap Timing Layer: Precision timing with Low Gain Avalanche Diodes

Author: CMS Collaboration, Canelli, Maria, Kilminster, Benjamin, Caminada, Lea, Botta, Cristina, Baertschi, Pascal, Bevilacqua, Tiziano, Brzhechko, Danyyl, Cormier, Kyle, Wit, Adinda, Del Burgo, Riccardo, Heikkilae, Jaana, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Leontsinis, Stefanos, Liechti, Sascha, Macchiolo, Anna, Meiring, Peter, Missiroli, Marino, Mikuni, Vinicius, Molinatti, Umberto, Neutelings, Izaak, Noehte, Lars, Rauco, Giorgia, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Takahashi, Yuta, et al, and University of Zurich
Subjects: 530 Physics, 3105 Instrumentation, 10192 Physics Institute, 3106 Nuclear and High Energy Physics
Published: 2022

47. Calibration sources for the LEGEND-200 experiment

Author: Baudis, L, Benato, G, Bond, E M, Chiu, P J, Elliott, S R, Massarczyk, R, Meijer, S J, Müller, Y, and University of Zurich
Subjects: Physics - Instrumentation and Detectors, 530 Physics, 3105 Instrumentation, FOS: Physical sciences, 10192 Physics Institute, Instrumentation and Detectors (physics.ins-det), Nuclear Experiment (nucl-ex), 2610 Mathematical Physics, Nuclear Experiment, Instrumentation, Mathematical Physics
Abstract: In the search for a monochromatic peak as the signature of neutrinoless double beta decay an excellent energy resolution and an ultra-low background around the $Q$-value of the decay are essential. The LEGEND-200 experiment performs such a search with high-purity germanium detectors enriched in $^{76}$Ge immersed in liquid argon. To determine and monitor the stability of the energy scale and resolution of the germanium diodes, custom-made, low-neutron emission $^{228}$Th sources are regularly deployed in the vicinity of the crystals. Here we describe the production process of the 17 sources available for installation in the experiment, the measurements of their alpha- and gamma-activities, as well as the determination of the neutron emission rates with a low-background LiI(Eu) detector operated deep underground. With a flux of $\left( 4.27 \pm 0.60_{\rm stat} \pm 0.92_{\rm syst} \right) \times 10^{-4} ~\text{n / (kBq$\cdot$s)}$, approximately one order of magnitude below that of commercial sources, the neutron-induced background rate, mainly from the activation of $^{76}$Ge, is negligible compared to other background sources in LEGEND-200., Comment: 13 pages + references; typos corrected, comments from journal referee's implemented
Published: 2023
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48. The SALT—Readout ASIC for Silicon Strip Sensors of Upstream Tracker in the Upgraded LHCb Experiment

Author: Abellan Beteta, Carlos, Andreou, Dimitra, Artuso, Marina, et al, Swientek, Krzysztof, University of Zurich, and Swientek, Krzysztof
Subjects: 1602 Analytical Chemistry, 1303 Biochemistry, 530 Physics, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, 10192 Physics Institute, 3107 Atomic and Molecular Physics, and Optics, 1710 Information Systems, Biochemistry, Analytical Chemistry, Atomic and Molecular Physics, Electrical and Electronic Engineering, and Optics, Instrumentation
Published: 2021
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49. Ibrutinib Could Suppress CA-125 in Ovarian Cancer: A Hypothesis

Author: Patrick Imesch, Julian Matthias Metzler, Daniel Fink, University of Zurich, and Metzler, Julian Matthias
Subjects: Chronic lymphocytic leukemia, gynecological oncology, lcsh:Technology, lcsh:Chemistry, chemistry.chemical_compound, 0302 clinical medicine, General Materials Science, Instrumentation, lcsh:QH301-705.5, Fluid Flow and Transfer Processes, 0303 health sciences, biology, Kinase, 1507 Fluid Flow and Transfer Processes, General Engineering, 10174 Clinic for Gynecology, lcsh:QC1-999, Computer Science Applications, medicine.anatomical_structure, ovarian cancer, Btk, 030220 oncology & carcinogenesis, Ibrutinib, Tyrosine kinase, kinase inhibitor, 610 Medicine & health, 03 medical and health sciences, ibrutinib, Bruton’s tyrosine kinase, medicine, 1706 Computer Science Applications, Bruton's tyrosine kinase, B cell, 030304 developmental biology, Tumor marker, business.industry, lcsh:T, Process Chemistry and Technology, 3105 Instrumentation, medicine.disease, 2500 General Materials Science, chemistry, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, biology.protein, Cancer research, 2200 General Engineering, Ovarian cancer, business, 1508 Process Chemistry and Technology, lcsh:Engineering (General). Civil engineering (General), lcsh:Physics
Abstract: Ibrutinib is a small-molecule inhibitor of Bruton’s tyrosine kinase, an enzyme central in B cell development. It is indicated as a therapy for certain hematological diseases such as chronic lymphocytic leukemia (CLL), but also exerts off-target effects on several receptors and kinases. In this paper, we hypothesize that ibrutinib may suppress the tumor marker CA-125 in ovarian cancer. The hypothesis is based on an observation of CA-125 normalization in a patient with low-grade serous ovarian cancer who received ibrutinib for concurrent CLL. We propose a mechanistic model explaining this possible drug effect as a foundation for further research.
Published: 2021

50. Diagnostic Accuracy of Cystic Lesions Using a Pre-Programmed Low-Dose and Standard-Dose Dental Cone-Beam Computed Tomography Protocol: An Ex Vivo Comparison Study

Author: Adib Al-Haj Husain, Quirin Döbelin, Bernd Stadlinger, Silvio Valdec, Barbara Giacomelli-Hiestand, Daniel B. Wiedemeier, University of Zurich, and Valdec, Silvio
Subjects: Cone beam computed tomography, 1303 Biochemistry, Dental anatomy, cone-beam computed tomography, Swine, Radiography, Computed tomography, 610 Medicine & health, TP1-1185, 3107 Atomic and Molecular Physics, and Optics, Radiation Dosage, 1710 Information Systems, Biochemistry, Article, Analytical Chemistry, Lesion, Cystic lesion, Germany, Atomic and Molecular Physics, low-dose cone-beam computed tomography, medicine, Animals, Electrical and Electronic Engineering, Instrumentation, Protocol (science), 1602 Analytical Chemistry, medicine.diagnostic_test, business.industry, Chemical technology, 3105 Instrumentation, 2208 Electrical and Electronic Engineering, Reproducibility of Results, Atomic and Molecular Physics, and Optics, Radiological weapon, low dose protocols, oral anatomy, cystic lesion, medicine.symptom, 10069 Clinic of Cranio-Maxillofacial Surgery, and Optics, business, Nuclear medicine, Software, oral surgery
Abstract: Background: This study aimed to analyze the diagnostic reliability of radiographic assessment of cystic lesions using a pre-set, manufacturer-specific, low-dose mode compared to a standard-dose dental cone-beam computed tomography (CBCT) imaging protocol. Methods: Forty pig mandible models were prepared with cystic lesions and underwent both CBCT protocols on an Orthophos SL Unit (Dentsply-Sirona, Bensheim, Germany). Qualitative and quantitative analysis of CBCT data was performed by twelve investigators independently in SIDEXIS 4 (Dentsply-Sirona) using a trial-specific digital examination software tool. Thereby, the effect of the two dose types on overall detectability rate, the visibility on a scale of 1 (very low) to 10 (very high) and the difference between measured radiographic and actual lesion size was assessed. Results: Low-dose CBCT imaging showed no significant differences considering detectability (78.8% vs. 81.6%) and visibility (9.16 vs. 9.19) of cystic lesions compared to the standard protocol. Both imaging protocols performed very similarly in lesion size assessment, with an apparent underestimation of the actual size. Conclusion: Low-dose protocols providing confidential diagnostic evaluation with an improved benefit–risk ratio according to the ALADA principle could become a promising alternative as a primary diagnostic tool as well as for radiological follow-up in the treatment of cystic lesions.
Published: 2021
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