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Abstract <p>The large-scale electromagnetic calorimeter (ECal) of the MPD experiment is being developed in the NICA complex to precisely measure spatial and energy parameters for photons and electrons. To increase the accuracy of signal measurements, the ADC64ECal analog-to-digital converter waveforms were approximated using two functions: the Novosibirsk function, also used in the BM@N experiment, and the sum of three exponents having parameters calculated through fast ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) method. We compare the approximation accuracy for the two functions using the <i>R</i><sup>2</sup> criterion and energy resolution in the low-energy domain.</p>

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Digital Signal Processing Models for the ECAL of the MPD/NICA Experiment

  • 期刊论文

  • 发表日期：

    2025年6月27日

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  • R. Adhikary,
  • V. M. Baryshnikov

摘要

Abstract

The large-scale electromagnetic calorimeter (ECal) of the MPD experiment is being developed in the NICA complex to precisely measure spatial and energy parameters for photons and electrons. To increase the accuracy of signal measurements, the ADC64ECal analog-to-digital converter waveforms were approximated using two functions: the Novosibirsk function, also used in the BM@N experiment, and the sum of three exponents having parameters calculated through fast ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) method. We compare the approximation accuracy for the two functions using the R2 criterion and energy resolution in the low-energy domain.