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Enhancing Energy Resolution through Noise Constraint in Particle Detection Systems

This study explores adding constraints to energy resolution to optimize performance. By fixing the noise term, the study analyzes the impact on other parameters, RMS noise, and energy scaling factors. Results show improved fit values and potential error underestimation. The paper discusses strategies for determining noise terms for different particles.

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Enhancing Energy Resolution through Noise Constraint in Particle Detection Systems

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Presentation Transcript

  1. Contents Motivation Strategy Results Summary

  2. Motivation • Adding a constraint to the energy resolution leaves less freedom for the other parameters • Current values for the noise term when left free to fit:

  3. Strategy Determine the average RMS of noise events Convert the average RMS from MIP to GeV Fit the energy resolution with a fixed noise term

  4. Average Noise RMS • Retrieve the noise events for every energy point • Determine the RMSs of the energy sum distributions • Calculate the average noise RMS:

  5. MIP to GeV • Determine the energy scaling factor: fit the detector response with the function • Convert MIP to GeV

  6. Energy resolution After fixing the noise term • Fit values are more similar between and • might indicate underestimation of errors Before After

  7. Summary RMS noise using electromagnetic energy scale: Energy resolution with fixed noise term • Fit values are more similar between and • Increase in might indicate underestimation of errors Outlook How to determine the noise term for pions and protons?

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