We present a method for diagnostics analysis for pixelated particle detectors. The method is based on extracting information from the detector in the form of model parameters by using a representative mathematical model. To illustrate the procedure we analyzed real experimental data obtained with the electromagnetic calorimeter ECAL2 of the COMPASS experiment at CERN. Having observed the data, the typical pulses were fitted with a mathematical model. Heat maps were drawn to visualize the distribution of the mean values of each of the fitted parameters. This data visualization technique is useful for highlighting areas with similar behavior and detecting abnormal responses in single cells. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG
Diagnostic Analytics for Pixelated Particle Detectors: A Case Study
Florian Samayoa W.;Valinoti B.;Molina R.;Garcia L. G.;Carrato S.;
2023-01-01
Abstract
We present a method for diagnostics analysis for pixelated particle detectors. The method is based on extracting information from the detector in the form of model parameters by using a representative mathematical model. To illustrate the procedure we analyzed real experimental data obtained with the electromagnetic calorimeter ECAL2 of the COMPASS experiment at CERN. Having observed the data, the typical pulses were fitted with a mathematical model. Heat maps were drawn to visualize the distribution of the mean values of each of the fitted parameters. This data visualization technique is useful for highlighting areas with similar behavior and detecting abnormal responses in single cells. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AGPubblicazioni consigliate
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