Noise in a Calorimeter Readout System Using Periodic Sampling

TL;DR

This paper uses Fourier transform analysis to quantitatively examine noise characteristics in a calorimeter readout system, focusing on correlations, background effects, sampling frequency, and quantization error.

Contribution

It provides a detailed Fourier-based analysis of noise in calorimeter systems, highlighting the impact of sampling and background on signal quality.

Findings

Quantitative analysis of time-height correlation

Effect of background on optimal shaping and ENC

Sampling frequency and quantization error relations

Abstract

Fourier transform analysis of the calorimeter noise problem gives quantitative results on a) the time-height correlation, b) the effect of background on optimal shaping and on the ENC, c) sampling frequency requirements, and d) the relation between sampling frequency and the required quantization error.