Multi-Input And Gate for Physical Measurement and Triggering
Öz
In this study, a NodeMCU-based, web-controlled, and dynamic input number multi-port VE gate platform was developed and evaluated experimentally. The system consists of eight independent VE gates, each configurable between 2–128 inputs. Users can define entrances and connections between doors via the web interface; The AND operation and time measurement of the selected port are performed on the NodeMCU. In addition, microcontroller processing time (μs) and end-to-end total time (ms) were examined together. The results, based on a total of 1280 metric records, showed that the NodeMCU processing time steadily increased as the number of entries increased. The mean time was 149.71 μs in 2 entries and 15895.09 μs in 128 entries; linear harmony coefficient R² = 0.971. The findings demonstrate a small-scale experimental study of the physical measurement and data processing processes of the developed platform.
Anahtar Kelimeler
Kaynakça
- Ambrosi, G., Bartocci, S., Basara, L., Battiston, R., Burger, W. J., Campana, D. & Zuccon, P. (2021). The electronics of the High-Energy Particle Detector on board the CSES-01 satellite. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1013, 165639.
- ATLAS Collaboration. (2024). ATLAS trigger procedure and Run-3 context documentation. CERN.
- Bartos, I., Bork, R., Factourovich, M., Heefner, J., Márka, S., Márka, Z. & Sigg, D. (2010). The Advanced LIGO timing system. Classical and Quantum Gravity, 27(8), 084025.
- Bianchini, C., Browne, J., Kim, K. H. & Krejcik, P. (2018). LCLS-II timing pattern generator configuration GUIs. TUMPL04. SLAC National Accelerator Laboratory.
- Bui, T. Q. T., Elango, A. & Landry, R. J. (2022). FPGA-based autonomous GPS-disciplined oscillators for wireless sensor network nodes. Sensors, 22(9), 3135.
- Champion, C., Punch, M., Oger, R., Colonges, S. & Moudden, Y. (2017). TiCkS: A flexible White-Rabbit based time-stamping board. arXiv preprint arXiv:1710.07128.
- Chowdhury, S. R. & CMS Collaboration. (2020). The phase-2 upgrade of the CMS outer tracker. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 979, 164432.
- Duarte, J., Han, S., Harris, P., Jindariani, S., Kreinar, E., Kreis, B. & Wu, Z. (2018). Fast inference of deep neural networks in FPGAs for particle physics. Journal of Instrumentation, 13(07), P07027-P07027.
- Galli, L., Baldini, A. M., Cei, F., Chiappini, M., Francesconi, M., Grassi, M. & Signorelli, G. (2019). WaveDAQ: An highly integrated trigger and data acquisition system. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 936, 399-400.
- Harmand, M., Coffee, R., Bionta, M. R., Chollet, M., French, D., Zhu, D. & Cammarata, M. (2013). Achieving few-femtosecond time-sorting at hard X-ray free-electron lasers. Nature Photonics, 7(3), 215-218.