CERN Accelerating science

 
The reconstructed energy resolutions with the standard and Full SC methods for the Si/Scint and the all-Scint setups in comparison with the energy resolution fits published in \protect\cite{Frank}. The fit parameters are given in the legend, where the noise term is fixed to $c$ = 0.18\,GeV, as was determined from noise measurements in dedicated runs without beam particles as well as in random trigger events in the CERN test beam setup \cite{Frank}.
Distribution of the hits of 25 GeV $\pi^-$ of CERN TB in the Si-W ECAL (left) and AHCAL (right). The different colors show the different bins and the track energy depositions.
The optimized bin weights of the Si-W ECAL (left) and AHCAL (right) for 4\,GeV, 40\,GeV and 80\,GeV $\pi^-$ beams. The use of a constant value rather than the individual amplitude of each hit in the first two bins yields energy dependent weights in these bins.
Distribution of the hits of 25 GeV $\pi^-$ of CERN TB in the Si-W ECAL (left) and AHCAL (right). The different colors show the different bins and the track energy depositions.
Distribution of the hits of 25 GeV $\pi^-$ of CERN TB in the Si-W ECAL (left) and AHCAL (right). The different colors show the different bins and the track energy depositions.
The optimized bin weights of the Si-W ECAL (left) and AHCAL (right) for 4\,GeV, 40\,GeV and 80\,GeV $\pi^-$ beams. The use of a constant value rather than the individual amplitude of each hit in the first two bins yields energy dependent weights in these bins.
Distribution of the hits of 25 GeV $\pi^-$ of CERN TB in the Si-W ECAL (left) and AHCAL (right). The different colors show the different bins and the track energy depositions.
The optimized bin weights of the Si-W ECAL (left) and AHCAL (right) for 4\,GeV, 40\,GeV and 80\,GeV $\pi^-$ beams. The use of a constant value rather than the individual amplitude of each hit in the first two bins yields energy dependent weights in these bins.
Reconstructed energy resolutions using SC weights optimized for the respective dataset (black) and SC weights trained for a different dataset (red) and the relative deviations between them. The total (statistical and systematic) uncertainties are marked with '[]'.
The reconstructed energy resolutions with the standard and Full SC methods for the Si/Scint and the all-Scint setups in comparison with the energy resolution fits published in \protect\cite{Frank}. The fit parameters are given in the legend, where the noise term is fixed to $c$ = 0.18\,GeV, as was determined from noise measurements in dedicated runs without beam particles as well as in random trigger events in the CERN test beam setup \cite{Frank}.
Reconstructed energy resolutions( left) and relative improvement of the resolutions (right) with standard, ECAL SC, AHCAL SC and Full SC reconstruction methods for the Si/Scint setup. The fit parameters are given in the legend. The total (statistical and systematic) uncertainties are marked with '[]'.
Reconstructed energy resolutions( left) and relative improvement of the resolutions (right) with standard, ECAL SC, AHCAL SC and Full SC reconstruction methods for the Si/Scint setup. The fit parameters are given in the legend. The total (statistical and systematic) uncertainties are marked with '[]'.
Reconstructed energy resolutions( left) and relative improvement of the resolutions (right) with standard, ECAL SC, AHCAL SC and Full SC reconstruction methods for the Si/Scint setup. The fit parameters are given in the legend. The total (statistical and systematic) uncertainties are marked with '[]'.
The optimized bin weights of the Si-W ECAL (left) and AHCAL (right) for 4\,GeV, 40\,GeV and 80\,GeV $\pi^-$ beams. The use of a constant value rather than the individual amplitude of each hit in the first two bins yields energy dependent weights in these bins.
Reconstructed energy resolutions( left) and relative improvement of the resolutions (right) with standard, ECAL SC, AHCAL SC and Full SC reconstruction methods for the Si/Scint setup. The fit parameters are given in the legend. The total (statistical and systematic) uncertainties are marked with '[]'.
Reconstructed energy resolutions using SC weights optimized for the respective dataset (black) and SC weights trained for a different dataset (red) and the relative deviations between them. The total (statistical and systematic) uncertainties are marked with '[]'.
Reconstructed energy resolutions using SC weights optimized for the respective dataset (black) and SC weights trained for a different dataset (red) and the relative deviations between them. The total (statistical and systematic) uncertainties are marked with '[]'.
Reconstructed energy resolutions using SC weights optimized for the respective dataset (black) and SC weights trained for a different dataset (red) and the relative deviations between them. The total (statistical and systematic) uncertainties are marked with '[]'.