Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Electron identification and hadron discrimination using Cherenkov radiation in air and SiPMs

A. Alici, F. Carnesecchi, B. R. Achari, N. Agrawal, P. Antonioli, S. Arcelli, F. Bellini, S. Bufalino, D. Cavazza, L. Cifarelli, F. Cindolo, G. Clai, M. Colocci, F. Ercolessi, G. Fabbri, D. Falchieri, C. Ferrero, A. Ficorella, U. Follo, M. Garbini, S. Geminiani, G. Gioachin, A. Gola, D. Hatzifotiadou, A. Khuntia, A. Margotti, G. Malfattore, R. Nania, F. Noferini, L. Parellada-Monreal, M. Penna, O. Pinazza, R. Preghenella, M. Razza, R. Ricci, L. Rignanese, A. Rivetti, G. Romanenko, N. Rubini, E. Rovati, B. Sabiu, E. Scapparone, G. Scioli, S. Strazzi, S. Tomassini, A. Zichichi

Abstract

This paper presents a method to identify electrons using the Cherenkov light emitted when a charged particle travels in air and photons are detected with a Silicon PhotoMultiplier (SiPM). The analysis is based on a photon-counting approach using SPAD cells and uses data collected during a test beam at CERN PS. The results are well described by a simple Monte Carlo simulation, which further demonstrates that a very good electron identification and a strong pion/hadron rejection could be obtained over a wide momentum range.

Electron identification and hadron discrimination using Cherenkov radiation in air and SiPMs

Abstract

This paper presents a method to identify electrons using the Cherenkov light emitted when a charged particle travels in air and photons are detected with a Silicon PhotoMultiplier (SiPM). The analysis is based on a photon-counting approach using SPAD cells and uses data collected during a test beam at CERN PS. The results are well described by a simple Monte Carlo simulation, which further demonstrates that a very good electron identification and a strong pion/hadron rejection could be obtained over a wide momentum range.
Paper Structure (9 sections, 6 figures, 1 table)

This paper contains 9 sections, 6 figures, 1 table.

Table of Contents

  1. Introduction
  2. Experimental setup and analysis method
  3. Detectors
  4. Beam test setup
  5. Analysis method
  6. Results
  7. Comparison with simulation
  8. A simple optimization of the key parameters
  9. Conclusions

Figures (6)

  • Figure 1: Left panel: time of flight of the beam particles computed as the time difference between the two LGADs in the telescope at 1.5 GeV/$c$. The fits are performed with two q-Gaussian, the right one relative to the proton content and the left one relative to pions/electrons. Right panel: LGAD time sum versus time difference distribution with the box cut for protons (red) and electron/pions (green).
  • Figure 2: Real data at 1.5 GeV/c. Top left: signal amplitude for the proton sample selected. Top right: amplitude for pions and electrons with the estimated fraction of pions (green dotted area) and electrons (orange dashed area). Bottom: the estimated signal amplitude for electrons once the pion contribution (distribution expected to be identical to the protons one) is subtracted. NUV-HD-LFv2, 3.20$\times$3.12 mm$^2$, OV = 2V, thickness$_\text{air}$ = 7 cm.
  • Figure 3: Amplitude distribution of data (full line) and MC simulation (red area) for protons at 1.5 GeV/$c$ (left) and protons/pions at 10 GeV/$c$ (right).NUV-HD-LFv2, 3.20$\times$3.12 mm$^2$, OV = 2V, thickness$_\text{air}$= 7 cm.
  • Figure 4: Amplitude distribution of data (full line) and MC simulation (red area) for electrons at 1.5 GeV/$c$. NUV-HD-LFv2, 3.20$\times$3.12 mm$^2$, OV = 2V, thickness$_\text{air}$= 7 cm.
  • Figure 5: Electron detection efficiency versus the distance in air traversed by the particle. Electrons of 1.5 GeV/$c$ and two different SiPMs surfaces are considered. The toy Monte Carlo parameters used are: NUV-HD-MT, OV = 6 V, Thr = 3 SPAD.
  • ...and 1 more figures