Level Trigger Research Articles

Performance of the CMS high-level trigger during LHC Run 2

The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1× 1034 cm-2s-1, twice the initial design value, at √(s)=13 TeV. The CMS experiment records a subset of the collisions for further processing as part of its online selection of data for physics analyses, using a two-level trigger system: the Level-1 trigger, implemented in custom-designed electronics, and the high-level trigger, a streamlined version of the offline reconstruction software running on a large computer farm. This paper presents the performance of the CMS high-level trigger system during LHC Run 2 for physics objects, such as leptons, jets, and missing transverse momentum, which meet the broad needs of the CMS physics program and the challenge of the evolving LHC and detector conditions. Sophisticated algorithms that were originally used in offline reconstruction were deployed online. Highlights include a machine-learning b tagging algorithm and a reconstruction algorithm for tau leptons that decay hadronically.

Beam test performance studies of CMS Phase-2 Outer Tracker module prototypes

A new tracking detector will be installed as part of the Phase-2 upgrade of the CMS detector for the high-luminosity LHC era. This tracking detector includes the Inner Tracker, equipped with silicon pixel sensor modules, and the Outer Tracker, consisting of modules with two parallel stacked silicon sensors. The Outer Tracker front-end ASICs will be able to correlate hits from charged particles in these two sensors to perform on-module discrimination of transverse momenta (p T). The p T information is generated at a frequency of 40 MHz and will be used in the Level-1 trigger decision of CMS. Prototypes of the so-called 2S modules were tested at the Test Beam Facility at DESY Hamburg between 2019 and 2020. These modules use the final front-end ASIC, the CMS Binary Chip (CBC), and for the first time the Concentrator Integrated Circuit (CIC), optical readout and on-module power conversion. In total, seven modules were tested, one of which was assembled with sensors irradiated with protons. An important aspect was to show that it is possible to read out modules synchronously. A cluster hit efficiency of about 99.75 % was achieved for all modules. The CBC p T discrimination mechanism has been verified to work together with the CIC and optical readout. The measured module performance meets the requirements for operation in the upgraded CMS tracking detector.

ATLAS Level-0 Muon Barrel Trigger system status and integration tests for Phase-II

In preparation for the High-Luminosity Large Hadron Collider (HL-LHC), essential upgrades are underway for the ATLAS Level-0 Barrel Muon Trigger system in order to cope with the higher data rates and radiation level. These enhancements involve incorporating a new inner layer of Resistive Plate Chambers detectors (RPCs), and replacing the trigger and readout electronics, using a novel Data Collector and Transmitter (DCT) and new Sector Logic (SL) boards. DCT boards collect and process RPC data, while SL boards execute the trigger algorithm and transmit the muon candidates to the Central Trigger Processor.This paper presents the current status of the Phase-II Muon Barrel Level-0 Trigger system, focusing on the DCT and SL hardware and firmware developments. We detail the design and testing processes. Results from data communication tests and ongoing developments are also discussed.

The Effect of Bystander Features on Displaced Aggression in Provocative Situations among Male Juvenile Delinquents.

Two studies were conducted to explore the influence of bystander features of displaced aggression in provocative situations among male juvenile delinquents. Study 1 examined the differences in displaced aggression between provoked male juvenile delinquents in the presence or absence of bystanders. The results revealed that provoked male juvenile delinquents exhibited significantly higher levels of displaced aggression when bystanders were present compared to when they were not. Study 2 further manipulated the bystanders' trigger level and investigated the differences in displaced aggression exhibited by provoked male juvenile delinquents towards highly versus lowly triggered bystanders. The results indicated that after low provocation, male juvenile delinquents exhibited significantly higher levels of displaced aggression towards highly triggered bystanders compared to lowly triggered bystanders. These findings demonstrated that male juvenile delinquents exhibited a high level of displaced aggression towards bystanders in provocative situations, particularly with highly triggered bystanders. This study supported the personality and social model of displaced aggression, emphasizing that bystanders, especially those with high triggers, were more likely to become targets of displaced aggression. The current study provides references for subsequent criminal rehabilitation and crime prevention.

Assembly and testing of 2S module prototypes for the CMS Phase-2 outer tracker upgrade

The HL-LHC necessitates a Phase-2 upgrade for the CMS detector, which includes the complete replacement of the existing tracker. The new Outer Tracker incorporates two types of silicon module, 2S and PS, based on an innovative transverse momentum (pT) discrimination idea. By using these modules, the information from the tracker will be sent to the Level-1 (L1) trigger for the first time. They will identify charged particles with pT > 2 GeV, helping to reduce the data sent to the L1 trigger. This paper offers a comprehensive overview of the 2S module prototyping process, which include the precise assembly and testing procedures to ensure their performance and quality before integration into the Outer Tracker. Additionally, to assess the performance of a 2S module in beam, the data from a DESY test beam is reconstructed and analyzed using the Corryvreckan offline reconstruction framework. The results demonstrate agreement to within 1% with those obtained using the EUTelescope framework.

Status of the MDT Trigger Processor for the ATLAS Level-0 Muon trigger at the HL-LHC

The MDT Trigger Processor (MDTTP) is a key ATLAS Level-0 Muon trigger upgrade component designed to meet High-Luminosity LHC requirements. The MDTTP will use MDT hits in the hardware level trigger for the first time in ATLAS to improve the momentum resolution of muon candidates provided by RPC and TGC detectors and reduce the fake muon trigger rate.The MDTTP hardware is based on the Apollo ATCA platform. The prototype includes a VU13P-FPGA, high-speed FireFly optical transceivers, peripherals, and other improvements learned from using the previous hardware demonstrator. We present the prototype status, firmware implementation, core algorithm, slow-control software, and first integration tests.

Pathogenesis of Medication-Related Osteonecrosis of the Jaw: Odontogenic Infection-Preceding Type and Osteonecrosis-Preceding Type.

Introduction Medication-related osteonecrosis of the jaw (MRONJ) develops from odontogenic infection. However, there are also some cases of MRONJ developing from sites with no teeth, no root canal lesions, or no periodontal disease. This study aimed to retrospectively review radiographic images of MRONJ cases and examine the differences in characteristics between MRONJ suspected to be related to dental infection (odontogenic MRONJ) and MRONJ that occurred without dental involvement or of unknown cause (non-odontogenic MRONJ). Materials and methods One hundred and forty-five patients were diagnosed with MRONJat Kansai Medical University Hospital and Kansai Medical University Medical Center. The following variables were investigated: sex, age, primary disease, MRONJ site, body mass index, smoking habit, diabetes, corticosteroids, type of antiresorptive agent, administration period, CT findings (separation of sequestrum, osteolysis, periosteal reaction, and osteosclerosis), trigger, leukocytes, neutrocytes, neutrophil-lymphocyte ratio, serum albumin, and serum creatinine levels. Results In the univariate analysis, significant differences between odontogenic and non-odontogenic MRONJs were found in patients whose primary disease was malignancy, receiving denosumab (DMB), and with short administration period of antiresorptive agent, no osteolysis, periosteal reaction, and serum creatinine level. In multivariate analysis, non-odontogenic MRONJ was significantly more common in patients with no osteolysis and with periosteal reaction. Conclusion Non-odontogenic MRONJ tends to occur more frequently in patients treated with high-dose DMB, and there were significantly more cases of non-osteolytic MRONJ without radiographic evidence of osteolysis or with periosteal reactions.

CMS Level-1 trigger Data Scouting firmware prototyping for LHC Run-3 and CMS Phase-2

A novel Data Acquisition (DAQ) system, known as Level-1 Data Scouting (L1DS), is being introduced as part of the Level-1 (L1) trigger of the CMS experiment. The L1DS system will receive the L1 intermediate primitives from the CMS Phase-2 L1 trigger on the DAQ-800 custom boards, designed for the Phase-2 central DAQ. Firmware is being developed for this purpose on the Xilinx VCU128 board, with features similar to one half of the DAQ-800, and validated in a demonstrator for LHC Run-3. This contribution describes the firmware development in view of the target design for the DAQ-800.

Event-Triggered confidentiality fusion estimation against eavesdroppers in cyber-physical systems

System state plays an important role in cyber-physical systems (CPSs). Ensuring the security of the CPSs is a key issue that can be widely applied. The confidentiality of system state is a fundamental feature of the CPSs security. This paper studies the distributed fusion estimation problem in the presence of eavesdropper, where local sensors send their estimates to a remote fusion center (FC). To prevent eavesdropping, the event triggered scheduling strategy was adopted on each sensor. Some sufficient conditions on the triggers’ threshold were derived to make the eavesdropping expected covariance unbounded while the expected error covariance for the user remains bounded. Moreover, the distributed confidentiality fusion estimation algorithm is provided to achieve perfect expected secrecy. Finally, simulations of different trigger levels for two local systems are employed to show the effectiveness of the proposed methods.

An audit of patient radiation doses during interventional cardiology procedures in Uttarakhand, India, and establishment of local diagnostic reference levels.

The objective of this study was to investigate patient radiation doses by a dose audit of three common interventional cardiology (IC) procedures: coronary angiography (CA), percutaneous transluminal coronary angioplasty (PTCA) and CA-PTCA procedures performed in IC centres in the Uttarakhand state of India, for the establishment of local diagnostic reference levels (DRLs) and the estimation of average effective dose (Eav) for these procedures. For each procedure, the values of kerma-area product (PKA), reference air kerma (Ka,r), fluoroscopy time (FT) and the number of cine images were recorded from 1233 CA, 458 PTCA and 736 CA-PTCA procedures performed over a 12-month period at 13 IC centres of the state. From the recorded dose data, 0.6%, 1.53% and 7.9% patients were identified to have exceeded the PKA trigger level of 500 Gy cm2 for possible skin injury for CA, PTCA and CA-PTCA procedures, respectively. The 3rd quartile of the distribution of the recorded PKA values for each type of procedure was calculated to estimate local DRL values. The estimated values of DRLs and Eav were 37, 153 and 224 Gy cm2, and 6.72, 23.97 and 34.79 mSv for CA, PTCA and CA-PTCA procedures, respectively. For about 77% of the surveyed centres, the recorded patient doses were in agreement with the international standards. The local DRLs proposed in this study may be used to achieve patient dose optimization during IC procedures and the obtained patient dose data may also be archived into national dose database for the establishment of national DRLs.

GOCI operation during the 10 years of sun interference in COMS

A practical approach has been studied to cope with the sun interference of Earth observation geostationary satellite and the results of 10-year satellite operation for preventing sun outage are presented with detailed analysis in this paper. The Communication Ocean Meteorological Satellite (COMS) is equipped with the Geostationary Ocean Color Imager (GOCI), which performs ocean observation mission in the geostationary orbit. After the launch of the COMS, this study was initiated to prevent image data loss due to sun interference in receiving GOCI image data at the ground station of the principle user site under the operation configuration of single satellite and single ground station. This paper fully covers the entire research and the operation process which have been conducted over the 10 years from 2011 to 2021, including unexpected changes of operational environment such as ground station antenna change and satellite longitude position change. The specific characteristics of sun interference on the COMS operation is analysed through the theoretical simulation on the strength and the occurrence time of sun interference affecting the GOCI image data reception. The simulation outcomes are used to specify trigger level, date and time of sun outage in the COMS operation. From the concept that the sun outage could be prevented by adjusting the GOCI imaging time in advance, a GOCI special operation plan was established for the practical way of the sun outage prevention that was optimized for the COMS mission and could be applied to actual satellite operation. The approach of this study is verified by confirming the success of the sun outage prevention after the execution of the GOCI special operation plan. The verification is based on the operation results of the satellite link Radio Frequency (RF) signal performance and the image reception success status which has been obtained during the 10 years of the COMS operation. And, this study shows good consistency between the simulation outcomes and the operational measurements as well as the operational flexibility that it is possible to cope with the sun outage successfully even in the unexpected operational changes during the 10 years.

A survey on perioperative red blood cell transfusion trigger strategies for pediatric patients in the Nordic countries.

Transfusion of red blood cells (RBC) to rapidly increase hemoglobin levels have been associated with increased risks and worse outcomes in critically ill children. The international TAXI consensus from 2018 (pediatric critical care transfusion and anemia expertise initiative) recommended restrictive RBC transfusion strategies in pediatric patients. To elucidate physicians perioperative RBC transfusion trigger strategies for pediatric patients in the Nordic countries and to investigate what factors influence the decision to transfuse this group of patients. An electronic web-based survey designed by the TransfUsion triggers in Pediatric perioperAtive Care (TUPAC) initiative including six different clinical scenarios was sent to anesthesiologist treating pediatric patients at university hospitals in the Nordic countries on February 1, 2023 and closed May 1, 2023. The study had a response rate of 67.7% (180 responders out of 266 contacted). Median hemoglobin thresholds triggering RBC transfusions were 7.0 [IQR, 7.0-7.3] g/dL in a stable young child (1-year-old), 7.0 [IQR, 7.0-7.0] g/dL in the stable older child (5-year-old), 8.5 [IQR, 8.0-9.0] g/dL in the older child with cardiac disease, 9.0 [IQR, 8.0-10.0] g/dL the older child with traumatic brain injury, 8.0 [IQR, 7.3-9.0] g/dL in stabilized older child with septic shock and 8.0 [IQR, 7.0-9.0] g/dL in the older child with active but non-life-threatening bleeding. Apart from specific hemoglobin level, RBC transfusions were mostly triggered by high lactate level (74.2%), increasing heart rate (68.0%), prolonged capillary refill time (48.3%), and lowered blood pressure (47.8%). No statistical difference was found between the Nordic countries, work experience, or enrollment in a pediatric anesthesia fellowship program regarding RBC transfusion strategies. Anesthesiologists in the Nordic countries report restrictive perioperative RBC transfusion strategies for children that are mostly in agreement with the international TAXI recommendations. However, RBC transfusions strategies were modified to be guided by more liberal trigger levels when pediatric patients presented with severe comorbidity such as severe sepsis, septic shock, and non-life-threatening bleeding.

Adherence to a restrictive red blood cell transfusion strategy in critically ill patients: An observational study.

Randomized controlled trials relatively consistently show that restrictive red blood cell (RBC) transfusion strategies are safe and associated with similar outcomes compared to liberal transfusion strategies in critically ill patients. Based on these data, the general threshold for RBC transfusion was changed to 70 g/L at a 9-bed tertiary level intensive care unit in September 2020. Implementation measures included lectures, webinars and feedback during clinical practice. The aim of this study was to investigate how implementation of a restrictive transfusion strategy influenced RBC usage, haemoglobin trigger levels and adherence to prescribed trigger levels. In this registry-based, observational study, critically ill adult patients without massive bleeding were included and divided into a pre-cohort, with admissions prior to the change of transfusion strategy, and a post-cohort, with admissions following the change of transfusion strategy. These cohorts were compared regarding key RBC transfusion-related variables. In total 5626 admissions were included in the analyses (pre-cohort n = 4373, post-cohort n = 1253). The median volume (interquartile range, IQR) of RBC transfusions per 100 admission days, in the pre-cohort was 6120 (4110-8110) mL versus 3010 (2890-4970) mL in the post-cohort (p < .001). This corresponds to an estimated median saving of 1128 € per 100 admission days after a restrictive RBC transfusion strategy was implemented. In total, 26% of the admissions in the pre-cohort and 19% in the post-cohort (p < .001) received RBC transfusion(s) during days 0-10. Both median (IQR) prescribed trigger levels (determined by intensivist) and actual haemoglobin trigger levels (i.e., levels prior to actual administration of transfusion) were higher in the pre- versus post-cohort (90 [80-100] vs. 80 [72-90] g/L, p < .001 and 89 [82-96] g/L vs. 83 [79-94], p < .001, respectively). Percentage of days without compliance with the prescribed transfusion trigger was higher in the pre-cohort than in the post-cohort (23% vs. 14%, p < .001). Sensitivity analyses, excluding patients with traumatic brain injury, ischemic heart disease and COVID-19 demonstrated similar results. Implementation of a restrictive transfusion trigger in a critical care setting resulted in lasting decreased RBC transfusion use and costs, decreased prescribed and actual haemoglobin trigger levels and improved adherence to prescribed haemoglobin trigger levels.

Design and implementation of neural network based conditions for the CMS Level-1 Global Trigger upgrade for the HL-LHC

Abstract The CMS detector will be upgraded to maintain, or even improve, the physics acceptance under the harsh data taking conditions foreseen during the High-Luminosity LHC operations. In particular, the trigger system (Level-1 and High Level Triggers) will be completely redesigned to utilize detailed information from sub-detectors at the bunch crossing rate: the upgraded Global Trigger will use high-precision trigger objects to provide the Level-1 decision. Besides cut-based algorithms, novel machine-learning-based algorithms will also be included in the Global Trigger to achieve a higher selection efficiency and detect unexpected signals. Implementation of these novel algorithms is presented, focusing on how the neural network models can be optimized to ensure a feasible hardware implementation. The performance and resource usage of the optimized neural network models are discussed in detail.

System design and prototyping of the CMS Level-1 Trigger at the High-Luminosity LHC

Abstract For the High-Luminosity LHC (HL-LHC) era, the trigger and data acquisition system of the CMS experiment will be entirely replaced. The HL-LHC CMS Level-1 Trigger system will consist of approximately 200 ATCA boards featuring Xilinx UltraScale+ FPGAs connected by 25 Gb/s optical links. These boards will process over 60 Tb/s of detector data within 9.5 μs of the collision to select up to 750 kHz of events for readout. In this paper, we summarise the current status of hardware tests, our progress on system integration tests, and the online software designed to control and monitor these boards.

Predictive Role of Progesterone Levels for IVF Outcome in Different Phases of Controlled Ovarian Stimulation for Patients With and Without Endometriosis: Expert View.

The study aimed to review the role of basal, trigger, and aspiration day progesterone levels (PLs) as predictors of in vitro fertilization (IVF) success for patients with and without endometriosis. A non-systematic review was conducted by searching papers published in English during the period of 1990-2023 in MEDLINE and PubMed, Embase, The Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register), and Web of Science. The most widely used IVF predictor success was the trigger day progesterone serum level. Many studies utilize the threshold level of 1.5-2.0ng/ml. However, the predictive power of only progesterone level failed to show high sensitivity and specificity. Contrary, progesterone level on the trigger day combined with the number of mature retrieved oocytes had the highest predictive power. High baseline progesterone level was associated with poor IVF outcomes. Research on progesterone and IVF success in patients with endometriosis is limited but indicates that endometriosis patients seem to benefit from higher progesterone concentrations (≥ 37.1ng/ml) in IVF cycles. Currently, there is limited data for a definitive insight into the mportance of progesterone in the estimation of IVF success. Nonetheless, this summarized evidence could serve as up-to-date guidance for the role of progesterone in the prediction of IVF outcomes, both in patients with and without endometriosis.

Towards Real-Time Machine Learning-Based Signal/Background Selection in the CMS Detector Using Quantized Neural Networks and Input Data Reduction

The Large Hadron Collider (LHC) is being prepared for an extensive upgrade to boost its particle discovery potential. The new phase, High Luminosity LHC, will operate at a factor-of-five-increased luminosity (the number proportional to the rate of collisions). Consequently, such an increase in luminosity will result in enormous quantities of generated data that cannot be transmitted or stored with the currently available resources and time. However, the vast majority of the generated data consist of uninteresting data or pile-up data containing few interesting events or electromagnetic showers. High-Luminosity LHC detectors, including the Compact Muon Solenoid (CMS), will thus have to rely on innovative approaches like the proposed one to select interesting collision data. In charge of data reduction/selection at the early stages of data streaming is a level 1 trigger (L1T), a real-time event selection system. The final step of the L1T is a global trigger, which uses sub-system algorithms to make a final decision about signal acceptance/rejection within a decision time of around 12 microseconds. For one of these sub-system L1T algorithms, we propose using quantized neural network models deployed in targeted L1T devices, namely, field-programmable gate arrays (FPGA), as a classifier between electromagnetic and pile-up/quantum chromodynamics showers. The developed quantized neural network operates in an end-to-end manner using raw detector data to speed up the classification process. The proposed data reduction methods further decrease model size while retaining accuracy. The proposed approach was tested with simulated data (since the detector is still in the production stage) and took less than 1 microsecond, achieving real-time signal–background classification with a classification accuracy of 97.37% for 2-bit-only quantization and 97.44% for quantization augmented with the data reduction approach (compared to 98.61% for the full-precision, standard network).

In front of bars: the occurrence of burnout syndrome in female police officers

Burnout results from chronic workplace stress that has not been successfully managed. The objective of this study was to investigate the presence of Burnout Syndrome (BS) in female criminal police officers who work in the prison system of Mato Grosso do Sul, in order to understand its triggering factors and levels of manifestation. A quantitative exploratory research was carried out, with a cross-sectional design. The data demonstrated the presence of BS in 14.7% (IC95%: 7.6% to 24.7%) of the participants, especially in younger women, those without children and those who work in the care sector. Among others, there was an association between a high level of emotional exhaustion and working in the care sector, drinking alcohol and not practicing physical activity; the results highlighted the need for attention to the mental health of these professionals and the development of strategies that minimize the harmful effects of prison work.

A full-function Global Common Module prototype for ATLAS Phase-II upgrade

The High Luminosity Large Hadron Collider (HL-LHC [1]), an upgrade of the LHC, is set to become operational in 2029, aiming to achieve instantaneous luminosities 5–7.5 times larger than the nominal value of the LHC. However, unlocking the full physics potential at this much higher luminosity level necessitates a tenfold increase in the data bandwidth processed by ATLAS. This poses significant challenges to the design of the Trigger and Data Acquisition systems. To address these challenges, a baseline architecture has been chosen for the ATLAS Phase-II upgrade, relying on a single-level hardware trigger known as the Level-0 Trigger. This trigger has a maximum rate of 1 MHz and a latency of 10 μs. Central to this upgrade is the inclusion of a new subsystem — the Global Trigger [2]. This component performs complex algorithms, akin to those currently used in Phase-I high-level trigger software (such as Topoclustering), on full-granularity calorimeter data. The Global Trigger is divided into three sublayers: the Multiplexer Processor (MUX) layer, the Global Event Processor (GEP) layer, and the Global to Central Trigger Processor [3] interface (gCTPi). A full-function Global Common Module (GCM) hardware prototype has been designed to fulfill the requirements of all three sublayers of the Global Trigger, featuring different firmware loads. This GCM prototype, based on the ATCA [4] front board form factor, incorporates two of the latest AMD (Xilinx) Versal Premium devices VP1802 [5]. These devices boast double the density of the Virtex UltraScale+ FPGA VU13P used in the previous design [6] and include an integrated SoC with a completely new architecture. To handle high-speed I/Os, this GCM prototype employs twenty 12-channel 25.7 Gb/s FireFly [7] optical engines. The estimated maximum power consumption of this GCM prototype is 400 W, which falls within the cooling capabilities of the ATLAS ATCA shelf. To ensure power integrity, signal integrity, and thermal performance, extensive PCB simulations and thermal simulations have been done to guide the layout design of the GCM prototype. This paper provides an in-depth overview of the design process for this full-function GCM prototype hardware, with a particular focus on technology choices and simulation results.

Current and future challenges when operating the ATLAS Liquid Argon Calorimeter

The Liquid Argon (LAr) Calorimeters are employed by ATLAS for precision electromagnetic calorimetry and for hadronic and forward calorimetry. They also provide inputs to the first level of the ATLAS trigger system.The LAr Calorimeters have been operated during regular ATLAS data taking since 2008. All critical parameters, like LAr purity and temperature, have been kept at stable values resulting in reliable signal pulses. In 2022, the LHC collider has increased the luminosity leading to a pile-up of up to 70 interactions per bunch crossing. In the high luminosity phase, HL-LHC, planned to be fully functional in 2029, the pile-up will increase up to 200 interactions per bunch crossing.This contribution will highlight the present and future challenges in the operation of such a detector.