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https://hdl.handle.net/123456789/986
Τύπος: | Άρθρο σε επιστημονικό περιοδικό |
Τίτλος: | Signal processing techniques for picosecond-order timing with novel gaseous detectors |
Συγγραφέας: | [EL] Μάνθος, Ιωάννης[EN] Manthos, Ioannis [EL] Τσοπούλου, Μαρία-Ευανθία[EN] Tsopoulou, Maria-Evanthia [EL] Κορδάς, Κωνσταντίνος[EN] Kordas, Konstantinos [EL] Τζαμαρίας, Σπύρος[EN] Tzamarias, Spyros |
Ημερομηνία: | 17/08/2021 |
Περίληψη: | The experimental requirements in existing and envisaged accelerators and experiments have stimulated a great interest in R&D for detectors with high precision timing capabilities; thus, novel instrumentation has emerged. During the R&D phase the timing information is usually extracted from the signal using the full waveform, which is collected with fast oscilloscopes. This is fine for the R&D devices which have a small number of channels, but this method becomes impractical when the detector has many channels because it would produce a large amount of data. In practical applications, the detectors much have a data acquisition implemented in dedicated front-end-electronics which should retain enough information about the signal timing characteristics to allow the arrival time of a particle to be measured with a resolution comparable to the R&D devices. In this work we use novel gaseous detectors and we investigate how we can achieve a timing precision in the of order of 10-ths of picosecond with the use of the leading-edge discrimination timing technique. Even though this method introduces a “time-walk”, which normally affects greatly the timing resolution, we demonstrate how to mitigate the effect of time-walk using two different approaches. The first approach is based on several Time-over-Threshold measurements; the second is based on multiple Charge-over-Threshold information. In this work we prove that these methods are not only feasibility, but they are actually giving a timing resolution which is comparable to that obtained using the full waveforms. In addition, we investigate a one-step estimation of the corrected signal arrival time using artificial Neural Networks with promising results |
Γλώσσα: | Αγγλικά |
Τόπος δημοσίευσης: | India |
Σελίδες: | 7 |
DOI: | 10.1088/1742-6596/2105/1/012015 |
EISSN: | 2319-6734 |
Θεματική κατηγορία: | [EL] Σωματιδιακή φυσική και Φυσική πεδίων[EN] Particles and Fields Physics [EL] Φυσική, άλλοι τομείς[EN] Physics, miscellaneous |
Λέξεις-κλειδιά: | Precise timing; multi Time-over-Threshold; Artificial Neural Networks; Leading edge; multi Charge-over-Threshold |
Κάτοχος πνευματικών δικαιωμάτων: | © The Author(s) 2021 |
Όροι και προϋποθέσεις δικαιωμάτων: | CC BY-NC 4.0 |
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://www.ijesi.org/papers/Vol(10)i8/Ser-1/D1008012834.pdf |
Ηλεκτρονική διεύθυνση περιοδικού: | https://www.ijesi.org |
Τίτλος πηγής δημοσίευσης: | International Journal of Engineering Science Invention (IJESI) |
Τεύχος: | 8 |
Τόμος: | 10 |
Σελίδες τεκμηρίου (στην πηγή): | 28-34 |
Σημειώσεις: | This research was co-funded by the Greek government and the European Union (European Social Fund-ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning 2014 – 2020» in the context of the project «Ανάπτυξη φαινομενολογικών προτύπων, μεθόδων επεξεργασίας σήματος και αξιολόγηση οργανολογικών επιλογών για καινοτόμους ανιχνευτές τύπου PICOSECMicromegas, υψηλής ακρίβειας χρονισμού. » (MIS 5047908). |
Εμφανίζεται στις συλλογές: | Ερευνητικές ομάδες |
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