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ApprovedPlotsTileSingleParticleResponse

Introduction

This page lists the public plots illustrating single particle response.

Single Particle Response

Collision muons

Truncated $\Delta E / \Delta x$ distribution for calorimeter cell D5 module 10 obtained using 2011 experimental and simulated $W\rightarrow\mu\nu$ collision data. For each muon the deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 DISTRIBUTION_EBC-D5_m10_2011.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the response $\Delta E / \Delta x$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2011 muon experimental data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. For each muon the deposited energy $\Delta E$ is reconstructed at EM scale using an non-iterative Optimal Filtering algorithm. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_response2011.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the response $\Delta E / \Delta x$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2012 muon experimental data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. For each muon the deposited energy $\Delta E$ is reconstructed at EM scale using an non-iterative Optimal Filtering algorithm. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_response2012.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the double ratio response $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2011 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_rato_response2011.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the double ratio response $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_rato_response2012.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the estimated dispersion of the relative cell response $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2011 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_rato_sigma2011.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the estimated dispersion of the relative cell response $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_rato_sigma2012.pdf
pdf version of the figure
Schematic overview of the Tile Calorimeter showing the double ratio response change between 2011 and 2012 $\tfrac{R_{2012} - R_{2011}}{R_{2011}}$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2011 and 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Numbers are in percentage.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 legend_time2.pdf
pdf version of the figure
Distribution of the the double ratio response changes between 2011 and 2012 $\tfrac{R_{2012} - R_{2011}}{R_{2011}}$ to $W\rightarrow\mu\nu$ muons from collisions for each cell type, obtained from the average in $\phi$ of the truncated means for each cell using 2011 and 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental data and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Shown are the mean and the statistical error on the mean of the distribution. Numbers are in percentage.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 hist_delta2.pdf
pdf version of the figure
Calorimeter cell responses $\left(\Delta E / \Delta x\right)_\mathrm{data}$ and $\left(\Delta E / \Delta x\right)_\mathrm{MC}$ and ratio $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ versus pseudorapidity $\eta$ for the ATLAS TileCal innermost layer, obtained from the average in $\phi$ of the truncated means for each cell using 2011 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Statistical errors are shown.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 LAYER_RATO_A_2011.pdf
pdf version of the figure
Calorimeter cell responses $\left(\Delta E / \Delta x\right)_\mathrm{data}$ and $\left(\Delta E / \Delta x\right)_\mathrm{MC}$ and ratio $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ versus pseudorapidity $\eta$ for the ATLAS TileCal innermost layer, obtained from the average in $\phi$ of the truncated means for each cell using 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Statistical errors are shown.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 LAYER_RATO_A_2012.pdf
pdf version of the figure
Calorimeter cell responses $\left(\Delta E / \Delta x\right)_\mathrm{data}$ and $\left(\Delta E / \Delta x\right)_\mathrm{MC}$ and ratio $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ versus pseudorapidity $\eta$ for the ATLAS TileCal middle layer, obtained from the average in $\phi$ of the truncated means for each cell using 2011 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Statistical errors are shown. The outliers at $\eta = \pm0.95$ represent the response of the calorimeter cells C10.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 LAYER_RATO_B_2011.pdf
pdf version of the figure
Calorimeter cell responses $\left(\Delta E / \Delta x\right)_\mathrm{data}$ and $\left(\Delta E / \Delta x\right)_\mathrm{MC}$ and ratio $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ versus pseudorapidity $\eta$ for the ATLAS TileCal middle layer, obtained from the average in $\phi$ of the truncated means for each cell using 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Statistical errors are shown. The outliers at $\eta = \pm0.95$ represent the response of the calorimeter cells C10.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 LAYER_RATO_B_2012.pdf
pdf version of the figure
Calorimeter cell responses $\left(\Delta E / \Delta x\right)_\mathrm{data}$ and $\left(\Delta E / \Delta x\right)_\mathrm{MC}$ and ratio $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ versus pseudorapidity $\eta$ for the ATLAS TileCal outermost layer, obtained from the average in $\phi$ of the truncated means for each cell using 2011 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Statistical errors are shown.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 LAYER_RATO_D_2011.pdf
pdf version of the figure
Calorimeter cell responses $\left(\Delta E / \Delta x\right)_\mathrm{data}$ and $\left(\Delta E / \Delta x\right)_\mathrm{MC}$ and ratio $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ versus pseudorapidity $\eta$ for the ATLAS TileCal outermost layer, obtained from the average in $\phi$ of the truncated means for each cell using 2012 experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points. Statistical errors are shown.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 LAYER_RATO_D_2012.pdf
pdf version of the figure
The ATLAS Tile Calorimeter double ratio response $\left(\Delta E / \Delta x\right)_\mathrm{data} / \left(\Delta E / \Delta x\right)_\mathrm{MC}$ to $W\rightarrow\mu\nu$ muons from collisions for each radial layer, obtained from the weighted average in $\eta$ for each cell type using experimental and simulated data. Cell types with $\eta<0.1$ and the gap/crack scintillators are not taken into account in the analysis. The deposited energy $\Delta E$ is reconstructed at EM scale using a non-iterative Optimal Filtering algorithm for experimental and simulated data. The path length $\Delta x$ of the muon through a calorimeter cell was evaluated as the distance between the entrance and exit points.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 2nd September 2015		 timeBarrels.pdf
pdf version of the figure
Ratios of the D5+D6 cells muon signals over the noise (SNR), as a function of the muon track η, for standard offline readout of 2012 data and for LVL1 readout as measured in 2011 during pp collisions, zoomed in the region of interest in η.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 22nd June 2013		 SNRmuons4bins3.pdf
pdf version of the figure
Ratios of the D5+D6 cells muon signals over the noise (SNR), as a function of the muon track η, for standard offline readout of 2012 data and for LVL1 readout as measured in 2011 during pp collisions, zoomed in the region of interest in η.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch

Date: 22nd June 2013		 SNRmuons3bins3.pdf
pdf version of the figure
Average energy response versus η in TileCal D5 and D6 cells (η>0), using collision muons in 2012 data. Shown is the average response measured by summing the contributions of both PMTs from the double readout event-by-event, between 200 MeV (lower cut) and 20 GeV (upper cut). The sum D5+D6 is shown in full circles, the individual cells D5 and D6 in open circles. The error bars represent the standard error on the mean. η of the muon is obtained by extrapolating the muon track from the Inner Track through Tile Calorimeter to the Muon Spectrometer. W → μν events are selected using cuts in missing transverse energy ET > 40 GeV and transverse mass MT > 25 GeV. Events are required to have a single reconstructed muon track.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-009
Date: 22nd June 2013		 Scan in &eta of the Tile Calorimeter using muons from collisions
Average energy response versus η in TileCal D5 and D6 cells (η<0), using collision muons in 2012 data. Shown is the average response measured by summing the contributions of both PMTs from the double readout event-by-event, between 200 MeV (lower cut) and 20 GeV (upper cut). The sum D5+D6 is shown in full circles, the individual cells D5 and D6 in open circles. The error bars represent the standard error on the mean. η of the muon is obtained by extrapolating the muon track from the Inner Track through Tile Calorimeter to the Muon Spectrometer. W → μν events are selected using cuts in missing transverse energy ET > 40 GeV and transverse mass MT > 25 GeV. Events are required to have a single reconstructed muon track.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-009
Date: 22nd June 2013		 Scan in &eta of the Tile Calorimeter using muons from collisions
Average energy response in TileCal D5 (η>0) versus Δφ, using collision muons in 2012 data. Δφ represents the angle from the center of a Tile Calorimeter module to the center of the adjacent module, ranging from 0 to 2π/64 rad. Shown is the average response measured by summing the contributions of both PMTs from the double readout, between 200 MeV (lower cut) and 20 GeV (upper cut), integrated over the entire η ranges of the cell. The error bars represent the standard error on the mean. The decrease in response in the interface between two adjacent modules is 5% due to the gap of a few millimeters that allows for the WLS fibres to run to the outer radius of the calorimeter between two modules. W → μν events are selected using cuts in missing transverse energy ET > 40 GeV and transverse mass MT > 25 GeV. Events are required to have a single reconstructed muon track.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-009
Date: 22nd June 2013		 Scan in η of the Tile Calorimeter using muons from collisions
Average energy response in TileCal D5 (η<0) versus Δφ, using collision muons in 2012 data. Δφ represents the angle from the center of a Tile Calorimeter module to the center of the adjacent module, ranging from 0 to 2π/64 rad. Shown is the average response measured by summing the contributions of both PMTs from the double readout, between 200 MeV (lower cut) and 20 GeV (upper cut), integrated over the entire η ranges of the cell. The error bars represent the standard error on the mean. The decrease in response in the interface between two adjacent modules is 5% due to the gap of a few millimeters that allows for the WLS fibres to run to the outer radius of the calorimeter between two modules. W → μν events are selected using cuts in missing transverse energy ET > 40 GeV and transverse mass MT > 25 GeV. Events are required to have a single reconstructed muon track.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-009
Date: 22nd June 2013		 Scan in η of the Tile Calorimeter using muons from collisions
Average energy response in TileCal D6 (η>0) versus Δφ, using collision muons in 2012 data. Δφ represents the angle from the center of a Tile Calorimeter module to the center of the adjacent module, ranging from 0 to 2π/64 rad. Shown is the average response measured by summing the contributions of both PMTs from the double readout, between 200 MeV (lower cut) and 20 GeV (upper cut), integrated over the entire η ranges of the cell. The error bars represent the standard error on the mean. The decrease in response in the interface between two adjacent modules is 5% due to the gap of a few millimeters that allows for the WLS fibres to run to the outer radius of the calorimeter between two modules. W → μν events are selected using cuts in missing transverse energy ET > 40 GeV and transverse mass MT > 25 GeV. Events are required to have a single reconstructed muon track.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-009
Date: 22nd June 2013		 Scan in η of the Tile Calorimeter using muons from collisions
Average energy response in TileCal D6 (η<0) versus Δφ, using collision muons in 2012 data. Δφ represents the angle from the center of a Tile Calorimeter module to the center of the adjacent module, ranging from 0 to 2π/64 rad. Shown is the average response measured by summing the contributions of both PMTs from the double readout, between 200 MeV (lower cut) and 20 GeV (upper cut), integrated over the entire η ranges of the cell. The error bars represent the standard error on the mean. The decrease in response in the interface between two adjacent modules is 5% due to the gap of a few millimeters that allows for the WLS fibres to run to the outer radius of the calorimeter between two modules. W → μν events are selected using cuts in missing transverse energy ET > 40 GeV and transverse mass MT > 25 GeV. Events are required to have a single reconstructed muon track.
Contact: Marco van Woerden Marius.Cornelis.van.Woerden@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-009
Date: 22nd June 2013		 Scan in η of the Tile Calorimeter using muons from collisions

Single hadrons

Mean value of the $E/p$ variable as a function of $\eta$, integrated over all $p$ ranges for 2010 Data and Monte Carlo simulation. $E$ refers to the energy deposited in the Tile Calorimeter ($|\eta| < 1.7$) by the isolated charged particles with momentum $p$ and pseudorapidity $\eta$ (excluding the energy deposited in the scintillators). Charged particles have been selected applying a MIP-like signal requirement for the energy deposition in the LAr calorimeter. Bottom plot: Data/MC ratio of the mean value of the $E/p$ variable, fitted with a constant function. The error shown is only statistical. Bins with low statistics with track $|\eta| > 1.6$ have been removed.
Contact: Antonella Sucurro Antonella.Sucurro@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2011-001
Date: 24 March 2011
eop_eta_mean_PCorr0_Tile_pInt0.png
eps version of the figure
Mean value of the $E/p$ variable as a function of $\phi$, integrated over all $p$ and $\eta$ ranges for 2010 Data and Monte Carlo simulation. $E$ refers to the energy deposited in the Tile Calorimeter ($|\eta| < 1.7$) by the isolated charged particles with momentum $p$ and pseudorapidity $\eta$ (excluding the energy deposited in the scintillators). Charged particles have been selected applying a MIP-like signal requirement for the energy deposition in the LAr calorimeter. Bottom plot: Data/MC ratio of the mean value of the $E/p$ variable, fitted with a constant function. The error shown is only statistical. Each bin cover a dphi range of ~0.4
Contact: Antonella Sucurro Antonella.Sucurro@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2011-001
Date: 24 March 2011
 eop_phi_mean_PCorr0_Tile_pInt0.png
eps version of the figure
Mean value of the $E/p$ variable as a function of $p$, integrated over all $\eta$ ranges for 2010 Data and Monte Carlo simulation. $E$ refers to the energy deposited in the Tile Calorimeter ($|\eta| < 1.7$) by the isolated charged particles with momentum $p$ and pseudorapidity $\eta$ (excluding the energy deposited in the scintillators). Charged particles have been selected applying a MIP-like signal requirement for the energy deposition in the LAr calorimeter. Bottom plot: Data/MC ratio of the mean value of the $E/p$ variable, fitted with a constant function. The error shown is only statistical. Bins after 20 GeV due to the lack of statistics.
Contact: Antonella Sucurro Antonella.Sucurro@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2011-001
Date: 24 March 2011
 eop_p_mean_PCorr0_Tile.png
eps version of the figure
RMS value of the $E/p$ variable as a function of $\eta$, integrated over all $p$ ranges for 2010 Data and Monte Carlo simulation. $E$ refers to the energy deposited in the Tile Calorimeter ($|\eta| < 1.7$) by the isolated charged particles with momentum $p$ and pseudorapidity $\eta$ (excluding the energy deposited in the scintillators). Charged particles have been selected applying a MIP-like signal requirement for the energy deposition in the LAr calorimeter. Bottom plot: Data/MC ratio of the RMS value of the $E/p$ variable, fitted with a constant function. The error shown is only statistical. Bins with low statistics in the range $|\eta| > 1.6$ have been removed.
Contact: Antonella Sucurro Antonella.Sucurro@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2011-001
Date: 24 March 2011
 eop_eta_rms_PCorr0_Tile_pInt0.png
eps version of the figure
RMS value of the $E/p$ variable as a function of $\phi$, integrated over all $p$ and $\eta$ ranges for 2010 Data and Monte Carlo simulation. $E$ refers to the energy deposited in the Tile Calorimeter ($|\eta| < 1.7$) by the isolated charged particles with momentum $p$ and pseudorapidity $\eta$ (excluding the energy deposited in the scintillators). Charged particles have been selected applying a MIP-like signal requirement for the energy deposition in the LAr calorimeter. Bottom plot: Data/MC ratio of the RMS value of the $E/p$ variable, fitted with a constant function. The error shown is only statistical. Each bin cover a dphi range of ~0.4.
Contact: Antonella Sucurro Antonella.Sucurro@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2011-001
Date: 24 March 2011
 eop_phi_rms_PCorr0_Tile_pInt0.png
eps version of the figure
RMS value of the $E/p$ variable as a function of $p$, integrated over all $\eta$ ranges for 2010 Data and Monte Carlo simulation. $E$ refers to the energy deposited in the Tile Calorimeter ($|\eta| < 1.7$) by the isolated charged particles with momentum $p$ and pseudorapidity $\eta$ (excluding the energy deposited in the scintillators). Charged particles have been selected applying a MIP-like signal requirement for the energy deposition in the LAr calorimeter. Bottom plot: Data/MC ratio of the RMS value of the $E/p$ variable, fitted with a constant function. The error shown is only statistical. Bins after 20 GeV are removed due to the lack of statistics.
Contact: Antonella Sucurro Antonella.Sucurro@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2011-001
Date: 24 March 2011
 eop_p_rms_PCorr0_Tile.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2011 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 7 bins in pseudo-rapidity and 16 bins in transverse momentum. The energy of the track is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of pseudo-rapidity, integrated over the phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same pseudo-rapidity bins. The largest disagreement is 10% for 0.9 < |η| < 1.1.
Contact: David Jennens David.Jennens@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-011 ATL-COM-TILECAL-2013-034
Date: 10 July 2013
 2011_EoP_Tilevseta.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2011 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 7 bins in pseudo-rapidity and 16 bins in transverse momentum. The energy of the track is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks, showering predominantly in Layer A, as a function of pseudo-rapidity, integrated over the phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same pseudo-rapidity bins. The largest disagreement is 10% for 0.9 < η < 1.1.
Contact: David Jennens David.Jennens@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-011 ATL-COM-TILECAL-2013-034
Date: 10 July 2013
 2011_EoP_Tilevseta_LayerA.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2011 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 7 bins in pseudo-rapidity and 16 bins in transverse momentum. The energy of the track is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks, showering predominantly in Layer BC, as a function of pseudo-rapidity, integrated over the phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same pseudo-rapidity bins. The largest disagreement is 12% for -1.1 < η < -0.9.
Contact: David Jennens David.Jennens@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-011 ATL-COM-TILECAL-2013-034
Date: 10 July 2013
 2011_EoP_Tilevseta_LayerB.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2011 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 7 bins in pseudo-rapidity and 16 bins in transverse momentum. The energy of the track is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of momentum, integrated over the pseudo-rapidity and phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same momentum bins. The largest disagreement is 12% for 11 < p < 12 GeV.
Contact: David Jennens David.Jennens@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-011 ATL-COM-TILECAL-2013-034
Date: 10 July 2013
 2011_EoP_Tilevsp.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2011 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 7 bins in pseudo-rapidity and 16 bins in transverse momentum. The energy of the track is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks, showering predominantly in Layer A, as a function of momentum, integrated over the pseudo-rapidity and phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same pseudo-rapidity bins. The largest disagreement is 14% for 11 < p < 12 GeV.
Contact: David Jennens David.Jennens@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-011 ATL-COM-TILECAL-2013-034
Date: 10 July 2013
 2011_EoP_Tilevsp_LayerA.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2011 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 7 bins in pseudo-rapidity and 16 bins in transverse momentum. The energy of the track is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of phi, integrated over the |η| < 0.7. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same phi bins. The largest disagreement is 10% for 0.9 < Φ < 1.1.
Contact: David Jennens David.Jennens@cernNOSPAMPLEASE.ch
Reference: ATLAS-PLOT-TILECAL-2013-011 ATL-COM-TILECAL-2013-034
Date: 10 July 2013
 2011_EoP_TilevsCaloPhi_LongBarrel.png
eps version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2012 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 8 bins in pseudo-rapidity and 16 bins in momentum. The energy of the isolated hadron is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of pseudo-rapidity, integrated over the phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same pseudo-rapidity bins. The largest disagreement is 9% for η < -1.5.
Contact: Leonor Cerda Alberich and Carlos Solans
Reference: ATLAS-PLOT-TILECAL-2015-014
Date: 2nd March 2015
 E/p vs eta
pdf version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2012 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 8 bins in pseudo-rapidity and 16 bins in momentum. The energy of the isolated hadron is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of momentum, integrated over the pseudo-rapidity and phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same momentum bins. The largest disagreement is 18% for 9 < p < 10 GeV.
Contact: Leonor Cerda Alberich and Carlos Solans
Reference: ATLAS-PLOT-TILECAL-2015-014
Date: 2nd March 2015
 E/p vs p
pdf version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2012 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 8 bins in pseudo-rapidity and 16 bins in momentum. The energy of the isolated hadron is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of phi, integrated over the η coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same phi bins. The largest disagreement is 11% for -0.6 < φ < -0.4.
Contact: Leonor Cerda Alberich and Carlos Solans
Reference: ATLAS-PLOT-TILECAL-2015-014
Date: 2nd March 2015
 E/p vs φ
pdf version of the figure
Calorimeter Response characterised by energy over momentum (E/p) for isolated tracks, as measured with the Tile Calorimeter, using proton-proton collision data from 2012 in the Minimum Bias stream. Minimum Bias monte carlo is generated using Pythia 6 and simulated using Geant4, with the QGSP_Bertini physics list. Simulation is normalized to data using 8 bins in pseudo-rapidity and 16 bins in momentum. The energy of the isolated hadron is reconstructed using all nearby clusters in a cone of ΔR < 0.2. Selected tracks pass minimum quality criteria, have pT > 2 GeV and deposit less than 1 GeV in the electromagnetic calorimeter. The plot shows the mean of the E/p ratio for hadronic tracks as a function of μ, integrated over the pseudo-rapidity and phi coverage of Tile Calorimeter. Black dots represent data and red dots represent simulation. The lower plot shows the ratio of data to simulation in the same μ bins. The largest disagreement is 4% for 6 < μ < 9.
Contact: Leonor Cerda Alberich and Carlos Solans
Reference: ATLAS-PLOT-TILECAL-2015-014
Date: 2nd March 2015
 E/p vs mu
pdf version of the figure

Major updates:
-- PawelKlimek - 2016-08-17

Responsible: PawelKlimek
Subject: public

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Unknown file formateps 2011_EoP_TilevsCaloPhi_LongBarrel.eps r1 manage 24.7 K 2016-08-17 - 19:28 PawelKlimek  
PNGpng 2011_EoP_TilevsCaloPhi_LongBarrel.png r1 manage 24.0 K 2016-08-17 - 19:28 PawelKlimek  
Unknown file formateps 2011_EoP_Tilevseta.eps r1 manage 16.3 K 2016-08-17 - 19:28 PawelKlimek  
PNGpng 2011_EoP_Tilevseta.png r1 manage 17.2 K 2016-08-17 - 19:28 PawelKlimek  
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Unknown file formateps 2011_EoP_Tilevsp_LayerA.eps r1 manage 18.5 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng 2011_EoP_Tilevsp_LayerA.png r1 manage 20.7 K 2016-08-17 - 19:28 PawelKlimek  
PNGpng D5A_side.png r1 manage 47.7 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng D5C_side.png r1 manage 47.5 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng D6A_side.png r1 manage 49.1 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng D6C_side.png r1 manage 49.9 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng DETA_Aside.png r1 manage 59.8 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng DETA_Cside.png r1 manage 60.8 K 2016-08-17 - 19:29 PawelKlimek  
PDFpdf DISTRIBUTION_EBC-D5_m10_2011.pdf r1 manage 16.6 K 2016-08-17 - 19:29 PawelKlimek  
PDFpdf Eopvseta2012.pdf r2 r1 manage 19.2 K 2016-09-22 - 15:56 CarlosSolans  
PNGpng Eopvseta2012.png r2 r1 manage 252.2 K 2016-09-22 - 15:58 CarlosSolans  
PDFpdf Eopvsmu2012.pdf r1 manage 17.0 K 2016-08-17 - 19:30 PawelKlimek  
PNGpng Eopvsmu2012.png r1 manage 103.0 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf Eopvsp2012.pdf r2 r1 manage 18.9 K 2016-09-22 - 16:00 CarlosSolans  
PNGpng Eopvsp2012.png r2 r1 manage 244.6 K 2016-09-22 - 16:00 CarlosSolans  
PDFpdf Eopvsphi2012.pdf r2 r1 manage 21.4 K 2016-09-22 - 16:00 CarlosSolans  
PNGpng Eopvsphi2012.png r2 r1 manage 267.0 K 2016-09-22 - 16:01 CarlosSolans  
PDFpdf LAYER_RATO_A_2011.pdf r1 manage 22.7 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf LAYER_RATO_A_2012.pdf r1 manage 22.6 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf LAYER_RATO_B_2011.pdf r1 manage 22.8 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf LAYER_RATO_B_2012.pdf r1 manage 21.8 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf LAYER_RATO_D_2011.pdf r1 manage 18.2 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf LAYER_RATO_D_2012.pdf r1 manage 17.8 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf SNRmuons3bins3.pdf r1 manage 37.8 K 2016-08-17 - 19:31 PawelKlimek  
PNGpng SNRmuons3bins3.png r1 manage 192.9 K 2016-08-17 - 19:31 PawelKlimek  
PDFpdf SNRmuons4bins3.pdf r1 manage 38.3 K 2016-08-17 - 19:31 PawelKlimek  
PNGpng SNRmuons4bins3.png r1 manage 36.5 K 2016-08-17 - 19:31 PawelKlimek  
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PNGpng eop_eta_mean_PCorr0_Tile_pInt0.png r1 manage 15.4 K 2016-08-17 - 19:29 PawelKlimek  
Unknown file formateps eop_eta_rms_PCorr0_Tile_pInt0.eps r1 manage 17.6 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng eop_eta_rms_PCorr0_Tile_pInt0.png r1 manage 14.8 K 2016-08-17 - 19:29 PawelKlimek  
Unknown file formateps eop_p_mean_PCorr0_Tile.eps r1 manage 16.9 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng eop_p_mean_PCorr0_Tile.png r1 manage 15.2 K 2016-08-17 - 19:29 PawelKlimek  
Unknown file formateps eop_p_rms_PCorr0_Tile.eps r1 manage 17.2 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng eop_p_rms_PCorr0_Tile.png r1 manage 15.7 K 2016-08-17 - 19:29 PawelKlimek  
Unknown file formateps eop_phi_mean_PCorr0_Tile_pInt0.eps r1 manage 18.3 K 2016-08-17 - 19:29 PawelKlimek  
PNGpng eop_phi_mean_PCorr0_Tile_pInt0.png r1 manage 15.3 K 2016-08-17 - 19:29 PawelKlimek  
Unknown file formateps eop_phi_rms_PCorr0_Tile_pInt0.eps r1 manage 17.6 K 2016-08-17 - 19:30 PawelKlimek  
PNGpng eop_phi_rms_PCorr0_Tile_pInt0.png r1 manage 14.7 K 2016-08-17 - 19:29 PawelKlimek  
PDFpdf hist_delta2.pdf r1 manage 13.2 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf legend_rato_response2011.pdf r1 manage 19.4 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf legend_rato_response2012.pdf r1 manage 19.4 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf legend_rato_sigma2011.pdf r1 manage 19.4 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf legend_rato_sigma2012.pdf r1 manage 19.3 K 2016-08-17 - 19:30 PawelKlimek  
PDFpdf legend_response2011.pdf r1 manage 19.5 K 2016-08-17 - 19:31 PawelKlimek  
PDFpdf legend_response2012.pdf r1 manage 19.5 K 2016-08-17 - 19:31 PawelKlimek  
PDFpdf legend_time2.pdf r1 manage 20.4 K 2016-08-17 - 19:31 PawelKlimek  
PDFpdf timeBarrels.pdf r1 manage 15.1 K 2016-08-17 - 19:31 PawelKlimek  
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