515664 research outputs found
Sort by
Readout and testing procedures to characterize the CMS inner tracker pixel detector for HL-LHC
No full textThe LHC will be upgraded to the High Luminosity LHC in the coming years, aiming to reach an instantaneous luminosity of up to \,cms. The CMS Tracker detectors will be replaced and significantly upgraded to cope with the increased radiation fluence while ensuring excellent performance. In particular, a new hybrid pixel detector chip was developed for the Inner Tracker detector (ROC). The chip is capable of coping with extreme hit rates of up to 3\,GHz/cm (12\,GHz per chip), together with a trigger rate of \,MHz, and features an efficient readout rate of up to 5.12\,Gbits/s. The chip exhibits radiation tolerance of up to 1\,Grad and an induced single-event upset rate of up to 100 upsets per second. The new Inner Tracker will have six times smaller area pixels covering a surface close to 5\,m, thus resulting in approximately two billion pixels over about 3900 modules. The individual detector modules will need to be characterized and calibrated before being mounted on the final detector structure. To this extent, a dedicated data acquisition system (DAQ), based on minimal hardware featuring a custom FPGA board, was developed. A description of the DAQ, the testing procedures, and experience with the ROC is presented in this document
Grounding and shielding strategy, validation and testing for the ATLAS ITk Pixel Outer Barrel
No full textRobust grounding and shielding are critical to ensure the required detector performance of the upgraded tracking detector of the ATLAS experiment at the HL-LHC. This report presents the grounding and shielding strategy developed to avoid ground loops, enhance common-mode noise rejection, and maintain shielding integrity for the silicon pixel modules of the so-called Inner Tracker. Results from electromagnetic compatibility testing of the first multi-module structure are reported. Noise sensitivity to injected electric and magnetic fields under realistic conditions is quantified. Furthermore, the grounding and shielding verification method and overall strategy for detector integration, including the use of the so-called Ground Fault Monitor system, are discussed
n_ACT@BDF: A Neutron Activation Station at the SPS Beam Dump Facility (BDF)
No full textWe propose n_ACT@BDF, a high-flux neutron activation station integrated into the SPS Beam Dump Facility (BDF), which can be operated parasitically to the Search for Hidden Particles (SHiP) experiment. The high intensity neutron fields produced by spallation reactions of the 400 GeV/c, 4 × 10^13 p/pulse proton beam (average power ∼ 350 kW) with the tungsten target, can be exploited for accurate neutron- induced reaction cross section measurements on minute and radioactive samples, addressing pressing open questions in Nuclear Astrophysics and Nuclear Technologies. Three complementary stations are foreseen: BIAS (internal, highest flux), BEAS (external, collimated neutron beam), and BRIS (a high-flux rabbit station with pneumatic transfer to a Class A surface laboratory). The wide neutron energy spectrum available can be shaped by compact boron carbide B4C filters to produce quasi-Maxwellian spectra over a range of equivalent kT-values. The facility uniquely complements the neutron time-of-flight facility n TOF and leverages proximity to ISOLDE for production of radioactive targets, while taking advantage of available expertise and infrastructure available at CERN. The physics programme spans world-first measurements of key reactions relevant to the synthesis of the heavy elements in stars, measurements addressing the unexplained abundance of radioisotopes in our galaxy, and key reactions on reactor structural materials informing future fission and fusion reactor designs. A staged deployment fully aligned with the installation of SHiP is foreseen, with BIAS/BEAS starting operations in 2032, and full BRIS operation post-LS4 (2035+)
Low Voltage Power Supply Quality Control with Machine Learning for ATLAS Tile-Calorimeter
No full textThis study aimed to develop a machine-learning approach for early failure detection in custom low-voltage power supply (LVPS) electronic boards within a quality control process. Neural Networks (NNs) were applied as an anomaly detection model to classify the data between two distinct Quality Control (QC) tests, focusing on the performance metrics of the boards. The QC tests occur before and after the boards are subjected to a burn-in test and are referred to as initial and final testing, respectively. The experimental setup includes configuring both test stations, along with a burn-in station, to capture relevant measurement data. The proposed method effectively used measured parameter features to predict potential failures, by distinguishing the patterns in the test bench datasets, improving the reliability of the LVPS boards. The accuracy of the NNs demonstrates the impact of our approach on the quality control procedure, indicating its potential viability for use within quality control procedures
A fully GPU-based track reconstruction pipeline for HEP experiments
No full textThe Event Filter (EF) Tracking system allows real-time, online tracking for the ATLAS trigger in the upcoming HL-LHC era. Although still under development, this note highlights the impressive performance achieved so far by integrating GPU accelerators into the tracking workflow. Early results demonstrate tracking capabilities approaching those of full offline reconstruction with the new full-silicon tracker (ITk), showcasing the transformative potential of GPU-based processing. Preliminary system performance metrics are also presented, pointing toward a future where high-throughput, low-latency tracking becomes a practical reality
New Art Commission "Beyond the Standard Model" by Rohini Devasher
No full textIndian artist Rohini Devasher presents her artwork "Beyond the Standard Model" in CERN's new Community Support Centre in Building 62