# Noise

These plots validate the method of unfolding the correlated noise contribution from the Tile cell energy measurement. Checks are presented using a simulated sample with realistic correlations added and a collisions' data sample from Minimum Bias events. The information from the first out of seven digitized samples of a channel signal pulse (only sensitive to pedestal noise) is used to unfold the noise correlations in the presence of physics signals. The reconstructed cell energy for 10,000 simulated events generated at 7 TeV with MC@NLO is represented in the figure (top) for three different situations: without channel-to-channel correlations (black dotted line), with correlations before the noise correlations unfolding (red dashed line) and with correlations after noise correlations unfolding (blue full line). The reconstructed energy for Minimum Bias trigger data taken at a centre-of-mass energy of 900 GeV (10,000 events of run 141749 collected in December 2009) is shown in the figure (bottom). Red dashed line is before the noise correlations unfolding, blue full line is after the unfolding. All readout channels were included in the figure and the signal region is shown for both. No visible bias is introduced by the noise correlations unfolding method. The correlations seen in the pedestal region can be successfully unfolded with the method without affecting the signal distribution. (Link to CDS record)

The correlation matrices are presented in high-gain for the TileCal module LBA32 before (top) and after (bottom) applying the Tile Noise Filter (TNF) correction, in the presence of physical signals. The TNF is a method to remove the correlated noise component. Data from minimum bias run 179851 was used, at for an instantaneous luminosity of , in high-gain (HG) only. The typical correlated pattern of pedestal runs is still visible, although some stronger correlations seem to appear due the presence of pile up, at this luminosity. With the application of the method, the correlated noise is reduced. The mean correlation (0.042) is reduced to 0.021 after the TNF correction. 07/09/2011 (Link to CDS record)

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The correlation matrices are presented in high-gain for the TileCal module LBA32 before (top) and after (bottom) applying the Tile Noise Filter (TNF) correction, in high luminosity runs. The TNF is a method to remove the correlated noise component. Data from minimum bias run 182454 was used, at for an instantaneous luminosity of , in high-gain (HG) only. The typical correlated pattern of pedestal runs is still visible, although some stronger correlations seem to appear due the presence of pile up, at this luminosity. The correlated noise component is reduced after applying the method. The mean correlation (0.039) is reduced to 0.013 after the TNF correction. 07/09/2011 (Link to CDS record)

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\phi -averaged RMS of electronic cell noise as a function of \eta of the cell, with both readout channels in High Gain. For each cell the average value over all modules is taken. Values have been extracted using all the calibration runs used for the 2011 RUN I reprocessing. The different cell types are shown separately, A, BC, D, and E (gap/crack). The transition between the longand extended barrels can be seen in the range 0.7 < |\eta| < 1.0 . HGHG combination is relevant when the energy deposition in the cell is \lesssim 15 GeV .

Contact: G. Bertoli gbertoli@cernSPAMNOTNOSPAMPLEASE.ch
Reference: ATLAS-PLOTS-TILECAL-2014-001
Date: 06 Feb 2014

[EPS]

\phi -averaged RMS of electronic cell noise as a function of |\eta| of the cell, with both readout channels in High Gain. For each cell the average value over all modules is taken. Values have been extracted using all the calibration runs used for the 2011 RUN I reprocessing. The different cell types are shown separately, A, BC, D, and E (gap/crack). The transition between the long and extended barrels can be seen in the range 0.7 < \eta < 1.0 . HGHG combination is relevant when the energy deposition in the cell is \lesssim 15 GeV .

Contact: G. Bertoli gbertoli@cernSPAMNOTNOSPAMPLEASE.ch
Reference: ATLAS-PLOTS-TILECAL-2014-001
Date: 06 Feb 2014

[EPS]

### Simulated Noise for Phase II

Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 1.09 x 1034 cm-2s-1 corresponding to μ = 30 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 1.45 x 1034 cm-2s-1 corresponding to μ = 40 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 2.17 x 1034 cm-2s-1 corresponding to μ = 60 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 2.90 x 1034 cm-2s-1 corresponding to μ = 80 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 3.62 x 1034 cm-2s-1 corresponding to μ = 100 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 5.07 x 1034 cm-2s-1 corresponding to μ = 140 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 25 ns and luminosity of L = 7.25 x 1034 cm-2s-1 corresponding to μ = 200 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 0.54 x 1034 cm-2s-1 corresponding to μ = 30 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 0.73 x 1034 cm-2s-1 corresponding to μ = 40 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 1.09 x 1034 cm-2s-1 corresponding to μ = 60 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 1.45 x 1034 cm-2s-1 corresponding to μ = 80 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 1.81 x 1034 cm-2s-1 corresponding to μ = 100 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 2.54 x 1034 cm-2s-1 corresponding to μ = 140 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure
Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events. The overlay takes into account the full sensitive time of the detector (500 ns for the LAr) and the bunch train structure. For proton-proton collisions at sqrt(s) = 14 TeV, with a bunch spacing of dt = 50 ns and luminosity of L = 3.62 x 1034 cm-2s-1 corresponding to μ = 200 overlaying interactions (pile-up events) per bunch crossing. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for μ = 0 and μ = 14 can be found for the LAr here and data plots for μ = 0 for the Tile are available here.
eps version of the figure

-- PawelKlimek - 2016-08-23

Responsible: PawelKlimek
Subject: public

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Topic revision: r2 - 2016-08-24 - PawelKlimek

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