# Introduction

This twiki has been superseded by this page.

This wiki provides links to all of the figures used in the ATLAS detector paper. Note: for chapter 10, the figures suitable for showing at conferences (will have the ATLAS logo on them) are still to come.

# Chapter 1 (Overview)

 Fig. 1.1 (eps,pdf) Cut-away view of the ATLAS detector. The dimensions of the detector are 25~m in height and 44~m in length. The overall weight of the detector is approximately 7000~tonnes. Fig. 1.2 (eps,pdf) Cut-away view of the ATLAS Inner Detector. Fig. 1.3 (eps,pdf) Cut-away view of the ATLAS calorimeter system. Fig. 1.4 (eps,pdf) Cut-away view of the ATLAS muon system.

# Chapter 2 (Magnet system and magnetic field)

 Fig. 2.1 (eps,pdf) Geometry of magnet windings and tile calorimeter steel. The eight barrel toroid coils, with the end-cap coils interleaved are visible. The solenoid winding lies inside the calorimeter volume. The tile calorimeter is modelled by four layers with different magnetic properties, plus an outside return yoke. For the sake of clarity the forward shielding disk is not displayed. Fig. 2.2 (eps,pdf) Bare central solenoid in the factory after completion of the coil winding. Fig. 2.3 (eps,pdf) Barrel toroid as installed in the underground cavern; note the symmetry of the supporting structure. The temporary scaffolding and green platforms were removed once the installation was complete. The scale is indicated by the person standing in between the two bottom coils. Also visible are the stainless-steel rails carrying the barrel calorimeter with its embedded solenoid, which await translation towards their final position in the centre of the detector. Fig. 2.4 (eps,pdf) Time history of the barrel toroid current during an excitation test up to 102percent of the nominal value. The current drops back to zero within two minutes of the deliberately-provoked quench. Fig. 2.5 (eps,pdf) End-cap toroid cold mass inserted into the cryostat. The eight flat, square coil units and eight keystone wedges (with the circular holes) are visible. Fig. 2.6 (eps,pdf) Layout of the magnet cryogenics system in the surface hall (compressors) and service cavern (shield refrigerator and helium liquefier). They deliver cold gas and liquid to the distribution valve box in the experimental cavern, from which the solenoid and the toroid proximity cryogenics are fed Fig. 2.7 (left:eps,pdf) (right:eps,pdf) Left: Layout of underground service connections to the solenoid and toroid systems. The two large helium dewars can be seen on the side of the main cavern. Also shown are the fixed cryogenic lines supplying the solenoid and the cryo-ring for the barrel toroid coils at the top. The cryogenics lines in the flexible chains supply the two end-cap toroids and follow them whenever they move for detector access and maintenance. Right: schematic of the liquid-helium supply in the barrel toroid. The cryo-ring contains six standard sectors; a bottom sector with a valve box where the input flow per coil is measured and controlled; and the top sector where all lines come together and which is connected to the current lead cryostat. Fig. 2.8 (eps,pdf) Electrical circuit showing the barrel (BT) and end-cap (ECT) toroids connected in series, fed by a 20.5~kA power converter and protected by a voltage-limiting diode/resistor ramp-down unit~(left). Electrical circuit of the central solenoid (CS), fed by a 8~kA~power converter~(right). Fig. 2.9 (eps,pdf) R- and z dependence of the radial (Br) and axial (Bz) magnetic field components in the inner detector cavity, at fixed azimuth. The symbols denote the measured axial and radial field components and the lines are the result of the fit described in X Fig. 2.10 (eps,pdf) Predicted field integral as a function of abseta from the innermost to the outermost MDT layer in one toroid octant, for infinite-momentum muons. The curves correspond to the azimuthal angles phi=0 (red) and phi=pi/8 (black). Fig. 2.11 (eps,pdf) Sources of magnetic perturbations induced by metallic structures in or near the muon spectrometer. Fig. 2.12 (eps,pdf) Schematic representation of the magnetic-sensor layout and coil deformation model, used to reconstruct the magnetic fieldinside a barrel octant. Fig. 2.13 (eps,pdf) Fractional sagitta error due to uncertainties in the solenoid field vs. abseta. Fig. 2.14 (eps,pdf) Field reconstruction residual Delta B_phi for one middle (green, solid), outer (blue, dashed) and inner (red, dot-dashed) MDT layer.

# Chapter 3 (Background radiation and shielding)

 Fig. 3.1 (eps,pdf) Schematic view of major ATLAS detector systems and of the main shielding components. Fig. 3.2 (eps,pdf) Details of the shielding components as described in the text: a) moderator, b) LAr calorimeter plugs, c) disk, d) toroid, e) forward, and f) nose shielding. Fig. 3.3 (eps,pdf) The total ionising dose per year calculated by GCALOR in one quarter of the central part of the detector. The locations of the inner detector sub-systems, of the different calorimeters and of the inner end-cap muon stations are indicated. The scale on the left gives the integrated dose per year corresponding to the various iso-lines. Fig. 3.4 (eps,pdf) Particle fluxes in the various muon spectrometer stations at high luminosity (10^34 cm^-2s^-1 ) as predicted by GCALOR. The neutron and photon fluxes are in units of~kHz/cm^2 and the muon and proton fluxes in~Hz/cm^2 Fig. 3.5 (eps,pdf) Average expected single-plane counting rates in~Hz/cm^2 at 10^34 cm^-2s^-1 and for various regions in the muon spectrometer. Fig. 3.6 (left:eps,pdf) (right:eps,pdf) Left: Top view of a BCM module, showing the diamond sensors (left side of picture), the HV~supply and signal-transmission lines, the two amplification stages and the signal connector (right side of picture). Right: Close-up view of one BCM station installed at~184~cm from the centre of the pixel detector, which can be seen at the far end of the picture. Each one of the four modules can be seen in position at a radius of~5.5~cm, very close to the beam-pipe. Fig. 3.7 (eps,pdf) Picture of one set of background monitors, to be installed in the TGC layer of the middle end-cap muon station. The eight different types of detectors are described in the text. Fig. 3.8 (eps,pdf) The inner region of the detector during one of the short access scenarios. The predicted dose rates have been calculated for 10~years of operation at~\highL\ and for five days of cooling off. The short access scenario (a) has the beam-pipe in place. Fig. 3.9 (eps,pdf) The inner region of the detector during one of the main long access scenarios. The predicted dose rates have been calculated for 10~years of operation at 10^34 cm^-2s^-1 and and for five days of cooling off. The long access scenario (b) has only the inner detector section of the beam-pipe in place. The expected dose rates are greatly reduced in the this access scenario.

# Chapter 4 (Inner detector)

 Fig. 4.1 (eps,pdf) Plan view of a quarter-section of the ATLAS inner detector showing each of the major detector elements with its active dimensions and envelopes. The labels PP1, PPB1 and PPF1 indicate the patch-panels for the ID services. Fig. 4.2 (eps,pdf) Drawing showing the sensors and structural elements traversed by a charged track of 10GeV pT in the barrel inner detector (eta=0.3). The track traverses successively the beryllium beampipe, the three cylindrical silicon-pixel layers with individual sensor elements of 50X400 microm^2, the four cylindrical double layers (one axial and one with a stereo angle of 40mrad) of barrel silicon-microstrip sensors(SCT) of pitch 80microm, and approximatey 36axial straws of 4mm diameter contained in the barrel transition-radiation tracker modules within their support structure. Fig. 4.3 (eps,pdf) Drawing showing the sensors and structural elements traversed by two charged tracks of 10GeV pT in the end-cap inner detector (eta=1.4 and 2.2). The end-cap track at eta=1.4 traverses successively the beryllium beam-pipe, the three cylindrical silicon-pixel layers with individual sensor elements of 50X400 microm^2, four of the disks with double layers (one radial and one with a stereo angle of~40~mrad) of end-cap silicon-microstrip sensors (SCT) of pitch ~80 microm, and approximately 40 straws of 4mm diameter contained in the end-cap transition radiation tracker wheels. In contrast, the end-cap track at eta=2.2 traverses successively the beryllium beam-pipe, only the first of the cylindrical silicon-pixel layers, two end-cap pixel disks and the last four disks of the end-cap SCT. The coverage of the end-cap TRT does not extend beyond abseta=2. Fig. 4.4 (eps,pdf) Schematic view of a barrel pixel module (top) illustrating the major pixel hybrid and sensor elements, including the MCC (module-control chip), the front-end (FE) chips, the NTC thermistors, the high-voltage (HV)elements and the Type0 signal connector. Also shown (middle) is a plan view showing the bump-bonding of the silicon pixel sensors to the polyimide electronics substrate. The photograph at the bottom shows a barrel pixel module. Fig. 4.5 (eps,pdf) Close up of a bi-stave loaded with modules. The insert shows the U-link cooling connection between staves. Fig. 4.6 (eps,pdf) Pixel disk sector during the attachment of modules. There are also three modules on the back of the sector. Fig. 4.7 (left:eps,pdf) (right:eps,pdf) Photograph (left) and drawing (right) of a barrel module, showing its components. The thermal pyrolytic graphite (TPG) base-board provides a high thermal conductivity path between the coolant and the sensors. Fig. 4.8 (top:eps,pdf) (bot:eps,pdf) The upper photograph shows the three SCT end-cap module types (outer, middle and inner from left to right). The lower schematic shows an exploded view of the different components for a middle module, including the high thermal conductivity spine, the polyimide hybrid and the ABCD readout ASIC's. Fig. 4.9 (eps,pdf) Photograph of one quarter of the barrel TRT during integration. The shapes of one outer, one middle and one inner TRT module are highlighted. The barrel support structure space-frame can be seen with its triangular sub-structure. Fig. 4.10 (eps,pdf) Photograph of a four-plane TRT end-cap wheel during assembly. The inner and outer C-fibre rings can be seen, as well as the first layer of straws and the first stack of polypropylene radiator foils beneath it. Also visible are the plastic end-plugs which are used to position and fix the straws to the C-fibre outer ring. The high-voltage petals used to connect the straws to the high-voltage lines (see text) are laid back at this stage of the assembly and will only be folded vertically to push the petals into the straws at the next stage. Fig. 4.11 (eps,pdf) Detailed view of the end of the TRT barrel modules, showing the connection of the straw ends to high voltage through the high-voltage~(HV) plate, of the wires to the front-end boards through the tension-plate and of the gas inlet to the individual straws through the active-gas manifold. Fig. 4.12 (eps,pdf) Schematic view of the inner and outer ends of the TRT end-cap wheels, showing the plastic end-plugs used to position and fix the straws in the inner and outer C-fibre rings, the crimping pins holding and positioning the wires, the inner and outer active-gas manifolds, and the flex-rigid printed-circuit board used to connect the straws to high voltage and the wires to the front-end electronics. Fig. 4.13 (eps,pdf) Layout and schematic description of the front-end readout ASIC for the pixel detector. Fig. 4.14 (eps,pdf) Noise distribution for normal pixels of a non-irradiated module (upper left) and of a module irradiated with 24 GeV protons to a fluence~F_neq of 10^15 cm^-2 (lower left), measured after retuning at an operating temperature of -4C. The measured efficiency as a function of the incident beam particle arrival time is also shown for the non-irradiated (upper right) and irradiated modules(lower right). The arrows indicate the efficiency at the timing plateau. Fig. 4.15 (eps,pdf) Schematic of the readout ASIC for the SCT detector, showing the successive signal processing steps. Fig. 4.16 (left:eps,pdf) (right:eps,pdf) The efficiency (circles) and noise occupancy (triangles) for SCT barrel modules measured in a test-beam before irradiation (left) and after exposure to a dose of ~3X10^14 p/cm^2 in a 24 GeV proton test-beam (right). The nominal operating threshold is 1fC. The dashed horizontal lines represent the nominal module performance specifications in terms of efficiency and noise. The vertical lines represent the range of thresholds over which these specifications are met after irradiation. Fig. 4.17 (eps,pdf) Schematic of the front-end readout of the TRT detector, showing the input signal shape and the signal shape after the amplification and shaping, the baseline restoration (BLR) and the dual-threshold discrimination which provides the ternary output corresponding to the low threshold set or both low and high thresholds set. Fig. 4.18 (eps,pdf) The routing of data links and power supply cables from each side of the pixel detector to respectively the off-detector electronics and power supplies in the service caverns, together with the number, type and utilisation of the cables and optical links. Fig. 4.19 (eps,pdf) The routing of data links and power supply cables from each side of the SCT to respectively the off-detector electronics and power supplies in the service caverns, together with the number, type and utilisation of the cables and optical links. Fig. 4.20 (eps,pdf) The routing of data links and power supply cables from each side of the TRT to respectively the off-detector electronics and power supplies in the service caverns, together with the number, type and utilisation of the cables and optical links. Fig. 4.21 (eps,pdf) Detailed schematic of the pixel optical link architecture. For each pixel module, one (layer-1, layer-2 and the disks) or two (layer-0) optical fibres transfer data to the ROD's, and one fibre transfers the control and clock signals to the module (see text). The SCT optical links have a similar design. Fig. 4.22 (eps,pdf) Schematic top view of the inner-detector sub-systems with their vertical support points. All supports are on the plane of the detector axis and symmetric with respect to this axis. Fig. 4.23 (eps,pdf) The barrel support structure of the TRT, which serves as the support for the full barrel ID, shown during initial assembly and measurements. The SCT detector is supported on carbon-fibre rails inside the carbon-fibre inner cylinder. The two-piece outer carbon-fibre cylinder is not assembled yet at this stage of the integration. The space-frame geometry at each end was designed to support individual TRT barrel modules. A number of mirrors, visible as bright spots, are photo-grammetry targets used for survey measurements. Fig. 4.24 (eps,pdf) A perspective cut-away view of the pixel detector. The view shows individual barrel and end-cap modules, supported with their associated services on staves and disks within an octagonal support frame. Fig. 4.25 (eps,pdf) A pixel barrel half-shell, with its cutouts, being loaded with barrel bi-staves and services. Fig. 4.26 (eps,pdf) A pixel end-cap at the last stage of assembly, after connection of its cooling circuits. Fig. 4.27 (eps,pdf) Barrel pixel layer-2, loaded with bi-staves, viewed along the axis after the joining of the half-shells. Fig. 4.28 (eps,pdf) The pixel detector during integration of the barrel, end-caps and their services: (a) the end-cap region; (b) the barrel detector region; (c) Patch Panel 1 (PP1) region; (d) Patch Panel 0 (PP0) region and (e) region of the optical transceivers on the service quarter-panels. See text for details. Fig. 4.29 (top:eps,pdf) (left:eps,pdf) (right:eps,pdf) The upper photograph shows a complete SCT barrel with all its modules mounted. A blown-up detail of some of these barrel SCT modules mounted on the support cylinder, together with the module services including the polyimide signal and power cables, and the cooling tubes is also shown (bottom left). A drawing of the mounting brackets, which are attached to the barrel SCT cylinders (in this case, the innermost barrel cylinder), and of the attachment of the module and cooling pipes to the bracket, is also shown (bottom right). Fig. 4.30 (left:eps,pdf) (right:eps,pdf) End-cap SCT modules mounted on end-cap SCT disk with outer and inner modules (left) and middle modules (right) Fig. 4.31 (eps,pdf) End-view of the TRT barrel structure, during the final attachment of cooling and electrical services. Fig. 4.32 (eps,pdf) A completed TRT end-cap during the final service integration, showing (from the left) twelve type-A wheels and eight type-B wheels surrounded by their services and supporting rings. Fig. 4.33 (eps,pdf) Insertion of SCT barrel into the TRT barrel. The three module types of the TRT barrel are clearly identified. The SCT outer thermal enclosure is visible, together with the barrel services extending on support frames from each end. Fig. 4.34 (eps,pdf) Cross-section of the beryllium vacuum pipe with its various layers for bake-out in situ. Dimensions are in mm. Fig. 4.35 (eps,pdf) Schematic breakdown of the environmental conditions inside the inner-detector volume: in yellow are shown the TRT volumes, in light blue the SCT volumes, and in green the pixel volume inside the pixel support tube. Also shown is the routing of the cold tubes bringing C_3F_8 coolant to the pixel and SCT volumes, as well as the points where CO_2 gas is flushed into the ID~volume. Fig. 4.36 (eps,pdf) Details of the inner detector end-plate. Fig. 4.37 (eps,pdf) Schematic of the evaporative cooling for the barrel SCT. The heaters are located just outside the ID~volume and the pressure regulators are located in the cooling racks at the periphery of the ATLAS detector. Fig. 4.38 (eps,pdf) Photograph of the ID barrel set-up for cosmic-ray studies (left) and the highlighted configuration of module groups chosen for this test (right). Fig. 4.39 (eps,pdf) Distribution of average noise occupancy for all active module sides of the barrel and end-cap SCT (outer or middle end-cap modules on side C), as obtained at 1 fC threshold. Fig. 4.40 (eps,pdf) Distribution of the noise in electrons, normalised to a temperature of 0degC, for all active modules (or front-end chips) in the barrel and end-cap SCT (side C). Fig. 4.41 (eps,pdf) Average noise in electrons for each active module in the pixel end-cap cosmic ray test. Fig. 4.42 (eps,pdf) Pixel occupancy for active modules in one end-cap disk during the pixel end-cap cosmic ray test as described in the text. The value BCID=5 corresponds to the peak of the cosmic-ray timing distribution and the value BCID=4,6 corresponds to adjacent time bins. The occupancy for other BCID values represents a measurement of the random pixel noise occupancy. Fig. 4.43 (eps,pdf) The mean and RMS (indicated by error bars) of all hybrid temperatures for a given module position (from the cooling inlet to the cooling outlet), averaged over all cooling loops in the combined SCT-TRT run. The exhaust cooling pipe temperature was ~10degC. Fig. 4.44 (eps,pdf) Mapping of photon conversions as a function of z and radius, integrated over phi, for the ID. The mapping has been made from 500,000 minimum bias events (~40 minutes of data-taking at 200 Hz), using ~90,000 conversion electrons of pT>0.5GeV originating from photons from pi^0/eta decays. Fig. 4.45 (left:eps,pdf) (right:eps,pdf) Material distribution (X_0, lambda) at the exit of the ID envelope, including the services and thermal enclosures. The distribution is shown as a function of abs eta and averaged over phi. The breakdown indicates the contributions of external services and of individual sub-detectors, including services in their active volume. Fig. 4.46 (left:eps,pdf) (right:eps,pdf) Material distribution (X_0, lambda) at the exit of the ID envelope, including the services and thermal enclosures. The distribution is shown as a function of abs eta and averaged over phi. The breakdown shows the contributions of different ID components, independent of the sub-detector.

# Chapter 5 (Calorimetry)

 Fig. 5.1 (top/left:eps,pdf) (top/right:eps,pdf) (bot/left:eps,pdf) (bot/right:eps,pdf) Cumulative amounts of material, in units of radiation length X_0 and as a function of abs eta, in front of and in the electromagnetic calorimeters. The top left-hand plot shows separately the total amount of material in front of the presampler layer and in front of the accordion itself over the full eta-coverage. The top right-hand plot shows the details of the crack region between the barrel and endcap cryostats, both in terms of material in front of the active layers (including the crack scintillator) and of the total thickness of the active calorimeter. The two bottom figures show, in contrast, separately for the barrel (left) and end-cap (right), the thicknesses of each accordion layer as well as the amount of material in front of the accordion. Fig. 5.2 (eps,pdf) Cumulative amount of material, in units of interaction length, as a function of abs eta, in front of the electromagnetic calorimeters, in the electromagnetic calorimeters themselves, in each hadronic compartment, and the total amount at the end of the active calorimetry. Also shown for completeness is the total amount of material in front of the first active layer of the muon spectrometer (up to abs eta<3.0). Fig. 5.3 (eps,pdf) Layout of the signal layer for the four different types of electrodes before folding. The two top electrodes are for the barrel and the two bottom electrodes are for the end-cap inner (left) and outer (right) wheels. Dimensions are in millimetres. The drawings are all at the same scale. The two or three different layers in depth are clearly visible. Fig. 5.4 (eps,pdf) Sketch of a barrel module where the different layers are clearly visible with the ganging of electrodes in phi. The granularity in eta and phi of the cells of each of the three layers and of the trigger towers is also shown. Fig. 5.5 (eps,pdf) Photograph of a partly stacked barrel electromagnetic LAr module. A total of six out of seven outer support rings into which the absorbers can be seen. The backbone behind the outer support rings and the assembly bench below the stacked modules are also visible. Fig. 5.6 (eps,pdf) Photograph showing a side view of an electromagnetic end-cap LAr module (the beam axis is vertical). The first acccordion absorber of each wheel is clearly visible, as well as the summing boards, the mother-boards and the cables. Fig. 5.7 (left:eps,pdf) (right:eps,pdf) Measured electromagnetic cluster energy as a function of the applied high voltage. The results are shown for a barrel module (left), for 245GeV electrons (open circles), 100GeV electrons (open diamonds) and for the 100GeV results at the nominal voltage of 2kV scaled to the corresponding result at 245GeV (stars). The results obtained with an end-cap module (right) are shown for 193GeV electrons. The curves correspond to fits with a functional form E_tot=a x V^b. Fig. 5.8 (eps,pdf) High-voltage distribution as a function of abs eta for the EMEC. A uniform calorimeter response requires a high voltage which varies continuously as a function of abs eta, as shown by the open circles. This has been approximated by a set of discrete values shown as full triangles. Fig. 5.9 (eps,pdf) Schematic showing how the mechanical assembly and the optical readout of the tile calorimeter are integrated together. The various components of the optical readout, namely the tiles, the fibres and the photomultipliers, are shown. Fig. 5.10 (eps,pdf) Azimuthal view of the tile-calorimeter module-to-module interface showing the bearing locations at the inner and outer radii, and the azimuthal gap with a nominal width at the inner radius of 1.5mm, in which the readout fibres are routed to the photomultipliers inside the girder. Fig. 5.11 (eps,pdf) Radial view, looking inwards towards the interaction point, showing the fibre routing in the barrel modules. The fibre shown outside the channel accepts light for the tile onto which it is pressed. Further along the channel, this fibre is routed through a slot in the channel, into the interior region, while one of the other fibres is routed outside to view the next series of scintillator tiles in depth. Fig. 5.12 (eps,pdf) Segmentation in depth and eta of the tile-calorimeter modules in the central (left) and extended (right) barrels. The bottom of the picture corresponds to the inner radius of the tile calorimeter. The tile calorimeter is symmetric about the interaction point at the origin. Fig. 5.13 (left:eps,pdf) (right:eps,pdf) Glued fibre bundle in girder insertion tube (left) and fibre routing (right) for tile-calorimeter module. Fig. 5.14 (eps,pdf) Average cell response uniformity, measured using the cesium calibration system for the barrel and the two extended barrel tile calorimeters. Fig. 5.15 (eps,pdf) Schematic R-phi (left) and R-z (right) views of the hadronic end-cap calorimeter. The semi-pointing layout of the readout electrodes is indicated by the dashed lines. Dimensions are in mm. Fig. 5.16 (eps,pdf) Schematic view of a HEC module, with a cut-away showing the readout structure and the active-pad electronics. Fig. 5.17 (eps,pdf) Schematic of the arrangement of the HEC readout structure in the 8.5mm inter-plate gap. All dimensions are in mm. Fig. 5.18 (eps,pdf) Photograph of a fully assembled HEC wheel on the assembly table. The active-pad electronic boards located on the outer circumference are clearly visible. Fig. 5.19 (eps,pdf) Schematic diagram showing the three FCal modules located in the end-cap cryostat. The material in front of the FCal and the shielding plug behind it are also shown. The black regions are structural parts of the cryostat. The diagram has a larger vertical scale for clarity. Fig. 5.20 (eps,pdf) Electrode structure of FCal1 with the matrix of copper plates and the copper tubes and rods with the LAr gap for the electrodes. The Moliere radius, R_M, is represented by the solid disk. Fig. 5.21 (eps,pdf) View of the FCal hadronic module absorber matrix, including a set of tungsten rods and copper tubes surrounded by 1cm long tungsten slugs. Fig. 5.22 (eps,pdf) Schematic of the FCal1 module cabling from the electrodes to the cryogenic feed-through. The other modules differ only by the number of rods grouped together on the interconnect board (six for FCal2 and nine for FCal3). Fig. 5.23 (eps,pdf) Assembly of FCal modules: from left to right, the three modules plus the copper alloy plug can be seen on the support mandrel with most of the cabling in place. Fig. 5.24 (eps,pdf) Completed FCal assembly with its bulkhead and cone attached, just before insertion into the end-cap cryostat. Fig. 5.25 (eps,pdf) Cut-away view of an end-cap cryostat showing the positions of the three end-cap calorimeters. The outer radius of the cylindrical cryostat vessel is 2.25m and the length of the cryostat is 3.17m. Fig. 5.26 (eps,pdf) Schematic of the transition region between the barrel and end-cap cryostats, where additional scintillator elements are installed to provide corrections for energy lost in inactive material (not shown), such as the liquid-argon cryostats and the inner-detector services. The plug tile calorimeter is fully integrated into the extended barrel tile calorimeter. The gap and cryostat scintillators are read out together with the other tile-calorimeter channels Fig. 5.27 (eps,pdf,eps_colour,pdf_colour) Expected electronic noise in individual cells of the various sampling layers of the calorimeters as a function of abs eta. Note that the presampler noise is corrected for by the appropriate sampling fractions as discussed in Section X Fig. 5.28 (eps,pdf) Block diagram of the LAr readout electronics. The cold electrical circuit is depicted at the bottom, followed above by the on-detector front-end electronics crate and at the top (left) by a schematic view of the readout crate with its ROD boards and TTC modules. Also indicated at the middle and top (right) are the LAr front-end tower builder electronics and the interfaces to the L1 trigger system with its central trigger processor (CTP). Fig. 5.29 (eps,pdf) Block diagram of the FEB architecture, depicting the dataflow for four of the 128 channels. Fig. 5.30 (eps,pdf) Amplitude versus time for triangular pulse of the current in a LAr barrel electromagnetic cell and of the FEB output signal after bi-polar shaping. Also indicated are the sampling points every 25ns. Fig. 5.31 (eps,pdf) Block diagram of tile-calorimeter readout electronics. Fig. 5.32 (eps,pdf) Plot of the electronic noise in the electromagnetic barrel as a function of the number of readout samples. The circles correspond to a middle-layer cell and the triangles to a strip-layer cell. For the case of five readout samples, as planned for normal data-taking, the electronic noise is reduced by a factor of ~1.7 compared to the case of only one readout sample. Fig. 5.33 (eps,pdf) Schematic diagram of the calibration system for the LAr electromagnetic calorimeters. The components in the left part of the diagram are located on the calibration board itself at ambient temperature in the front-end crates, whereas the right part of the diagram depicts the distribution of the calibration signal into the calorimeter cells. This is achieved through the precision resistors (Rinj), which are located on printed-circuit boards in the liquid argon. The impedance of the cable between the calibration board and the printed-circuit boards in the liquid argon is denoted Z_c Fig. 5.34 (eps,pdf) Initial ionisation current per deposited energy from electromagnetic showers in the barrel and end-cap electromagnetic calorimeters. These values have been derived from electron test-beam data. Fig. 5.35 (eps,pdf) Linearity of response as a function of the electron beam energy, E_beam, for a barrel LAr electromagnetic module at abs eta=0.687. All points are normalised to the value measured at E_beam=100GeV. The band represents the total uncertainty on the beam energy measurement. Fig. 5.36 (eps,pdf) Fractional energy resolution as a function of the electron beam energy, E_beam, for a barrel LAr electromagnetic module at abs eta=0.687. Electronic noise was subtracted from the data before plotting the results. The curve represents the results of a fit to the data using Eq. X Fig. 5.37 (eps,pdf) Distribution of the average energies measured in all cells of all tested modules as a function of the cell eta, normalised to the mean energy measured in the modules. In the barrel, this mean energy was ~245GeV, while it was ~120GeV in the EMEC. For each bin in eta, the distribution is normalised to the number of middle cells in that bin (design value). This normalisation is only used to define the colour of each bin in the plot. Fig. 5.38 (eps,pdf) Linearity of response as a function of the beam energy, E_beam, at abs eta=0.687, for a barrel LAr electromagnetic module in the combined test-beam set-up exposed to electron beams with different amounts of material placed upstream of the active calorimeter. Fig. 5.39 (eps,pdf) Fractional energy resolution as a function of the electron beam energy, E_beam, for a barrel LAr electromagnetic module in the combined test-beam. Electronic noise has been subtracted from the data. The results are shown for an amount of upstream material of 2.4X_0, which is that expected in ATLAS at eta=0.4. The curves represent the results of fits to the data and the simulation using~Eq. X Fig. 5.40 (eps,pdf) Fractional energy resolution as a function of reconstructed energy for pi^- and pi^+ data taken during the 2002 EMEC/HEC combined test-beam period compared to different predictions from simulation using GEANT4. The analysis employs the signal-weighting technique described in the text. The data are plotted after noise subtraction and the curve represents as an example a fit to the pi^+ data using Eq. X. Fig. 5.41 (eps,pdf) Energy response on the electromagnetic scale for 200GeV pions when performing a vertical scan across the transition region between the EMEC/HEC and FCal calorimeters. Shown is the total energy response together with the individual responses in the different electromagnetic and hadronic components of the calorimetry. The data (full symbols) are compared to GEANT4 predictions (open symbols). Fig. 5.42 (eps,pdf) Fractional energy resolution obtained for electrons measured in the first module of the forward calorimeter as a function of the beam energy, E_beam. The curve corresponds to the result of a fit to the data points using Eq. X. Fig. 5.43 (eps,pdf) Fractional energy resolution obtained for pions, measured in all three modules of the forward calorimeter, as a function of the beam energy, E_beam. The data are shown for two cell-weighting schemes and the curves correspond to the result of a fit to the data points using Eq. X. Fig. 5.44 (eps,pdf) Fractional energy resolution obtained for pions as a function of the inverse square root of the beam energy at an angle of incidence equivalent to abs eta=0.35. Fig. 5.45 (eps,pdf) Linearity of response as a function of the pion beam energy, E_beam, for combined LAr and tile calorimetry at abs eta= 0.25. Fig. 5.46 (eps,pdf) Fractional energy resolution obtained for pions as a function of the inverse square root of the beam energy, E_beam, for combined LAr and tile calorimetry at abs eta=0.25. The curve corresponds to the result of a fit to the data points with the functional form as shown.

# Chapter 6 (Muon spectrometer)

 Fig. 6.1 (eps,pdf) Cross-section of the barrel muon system perpendicular to the beam axis (non-bending plane), showing three concentric cylindrical layers of eight large and eight small chambers. The outer diameter is about 20m. Fig. 6.2 (eps,pdf) Cross-section of the muon system in a plane containing the beam axis (bending plane). Infinite-momentum muons would propagate along straight trajectories which are illustrated by the dashed lines and typically traverse three muon stations. Fig. 6.3 (eps,pdf) Initial configuration of the muon spectrometer with its four chamber sub-systems: the precision-measurement tracking chambers (MDT's and CSC's) and the trigger chambers (RPC's and TGC's). In the end-cap, the first TGC layer (I) is located in front of the innermost tracking layer; the next three layers stand in front (M1) and behind (M2 and M3) the second MDT wheel. The first letter (B and E) of the MDT naming scheme refers to barrel and end-cap chambers, respectively. The second and third letters refer to layer (inner, middle, and outer) and sector (large and small) types, respectively. Fig. 6.4 (eps,pdf) Trajectories of muons with momenta of 4GeV and 20GeV in the bending plane of the barrel muon spectrometer. In general, the tracks cross 2x4 inner, 2x3 middle, and 2x3 outer layers of MDT tubes. The cyan and dark blue areas in each MDT layer illustrate the granularity of the mezzanine cards. Fig. 6.5 (eps,pdf) Structure of the barrel and end-cap regions with a track at large eta, passing through a CSC in the inner wheel and through MDT's in the middle and outer wheels. For abs eta>2.0, the 2x4 hits in the inner MDT, asexplained in Fig. X, are replaced by four CSC hits. Fig. 6.6 (eps,pdf) Overall three-dimensional view of the passive material in the muon system, which consists of such items as the barrel and end-cap toroid coils and vacuum vessels, as well as the support structures of the calorimeters, muon chambers, and toroid magnets. Fig. 6.7 (eps,pdf) Amount of material in units of radiation lengths (X_0) traversed by muons after exiting the calorimeters, as a function of eta and phi. Fig. 6.8 (eps,pdf) Cross-section of a MDT tube. Fig. 6.9 (eps,pdf) Longitudinal cut through a MDT tube. Fig. 6.10 (eps,pdf) Mechanical structure of a MDT chamber. Three spacer bars connected by longitudinal beams form an aluminium space frame, carrying two multi-layers of three or four drift tube layers. Four optical alignment rays, two parallel and two diagonal, allow for monitoring of the internal geometry of the chamber. RO and HV designate the location of the readout electronics and high voltage supplies, respectively. Fig. 6.11 (eps,pdf) Schematic diagram of the MDT readout electronics. Fig. 6.12 (eps,pdf) Resolution as a function of the impact parameter of the track with respect to the tube wire at various levels of $\gamma$-irradiation with a threshold of 16 photoelectrons (p.e.). The maximum rate expected for the MDT's is <= 150 hits/cm^2s. Fig. 6.13 (eps,pdf) Layout of a CSC end-cap with eight small and eight large chambers. Fig. 6.14 (eps,pdf) Left: structure of the CSC cells looking down the wires. The wire pitch s is equal to the anode-cathode spacing d=2.5mm. Right: view in the perpendicular direction (bending plane), down the readout and intermediate strips. The induction of the avalanche is spread out over 3--5 readout strips. Fig. 6.15 (eps,pdf) Charge distribution on the CSC cathode induced by the avalanche on the wire. Fig. 6.16 (eps,pdf) The segmentation of the CSC cathodes. The individual strip widths for the large and small chambers are b=1.519mm and 1.602mm, respectively. The interstrip gap is 0.25mm, resulting in readout pitches of a=5.308mm and 5.567mm. The intermediate strips contribute an additional charge interpolation, improving the linearity of the reconstructed position. The intermediate strips are not connected to readout electronics. Fig. 6.17 (eps,pdf) The inclination of the CSC's towards the interaction point. Dimensions are given in mm. Fig. 6.18 (eps,pdf) Shapes of large and small CSC's. Dimensions are given in mm. Fig. 6.19 (eps,pdf) Structure of the CSC. Fig. 6.20 (eps,pdf) Model of a CSC chamber with four planes showing the location of the readout electronics. Fig. 6.21 (eps,pdf) Schematics of the CSC front-end electronics. Fig. 6.22 (eps,pdf) CSC resolution and efficiency in a high rate test. Fig. 6.23 (eps,pdf) Principle of the alignment of the ATLAS muon spectrometer. Fig. 6.24 (eps,pdf) The RASNIK alignment system. The image sensor (RasCam) is a CMOS sensor in the barrel and a CCD sensor in the end-cap. An infrared filter is placed in front of the sensors to avoid stray light. A RasMux multiplexer is installed on each chamber, servicing up to eight RasCam sensors. A MasterMux can multiplex up to 16 RasMux's, sending the data to the USA15 hall for processing. Fig. 6.25 (eps,pdf) Layout of the optical-alignment lines (red) for three adjacent barrel sectors. The Chamber-to-Chamber Connector sensors (CCC) connect chambers in a small sector to those in an adjacent large sector. Fig. 6.26 (eps,pdf) Layout of the alignment of two MDT's and CSC's in the end-cap. Only alignment sensors belonging to these sectors are shown, and the EE chambers and bars have been omitted. Fig. 6.27 (eps,pdf) Schematics of the muon trigger system. RPC2 and TGC3 are the reference (pivot) planes for barrel and end-cap, respectively. Fig. 6.28 (eps,pdf) Cross-section through the upper part of the barrel with the RPC's marked in colour. In the middle chamber layer, RPC1 and RPC2 are below and above their respective MDT partner. In the outer layer, the RPC3 is above the MDT in the large and below the MDT in the small sectors. All dimensions are in mm. Fig. 6.29 (eps,pdf) Cross-section through a RPC, where two units are joined to form a chamber. Each unit has two gas volumes supported by spacers (the distance between successive spacers is 100mm), four resistive electrodes and four readout planes, reading the transverse and longitudinal direction. The sandwich structure (hashed) is made of paper honeycomb. The phi-strips are in the plane of the figure and the eta-strips are perpendicular to it. Dimensions are given in mm. Fig. 6.30 (eps,pdf) Layout of a RPC readout strip plane. Fig. 6.31 (eps,pdf) TGC structure showing anode wires, graphite cathodes, G-10 layers and a pick-up strip, orthogonal to the wires. Fig. 6.32 (eps,pdf) Cross-section of a TGC triplet and doublet module. The triplet has three wire layers but only two strip layers. The dimensions of the gas gaps are enlarged with respect to the other elements.

# Chapter 7 (Forward detectors)

 Fig. 7.1 (eps,pdf) Placement of the forward detectors along the beam-line around the ATLAS interaction point (IP). Fig. 7.2 (eps,pdf) a) Picture of the two LUCID vessels fully assembled and ready to be installed in ATLAS. b) Sketch of LUCID integrated in the cone supporting the beam-pipe. c) Design of the gas vessel. d) Expanded view of the readout area showing the coupling between the 15mm diameter Cerenkov tubes and the photomultiplier tubes. Also shown is the coupling between the Cerenkov tubes and the readout fibre bundle through a Winston cone. Fig. 7.3 (left:eps,pdf) (right:eps,pdf) Left: distribution of the number of photoelectrons for an aluminised mylar Cerenkov tube as obtained at the electron test facility at DESY. The peak coming from the Cerenkov light in the radiator gas alone (left peak) and the one produced by the radiator gas and the quartz window of the readout PMT (right peak) are clearly visible. The curves superimposed on the experimental data represent the results of the fit with two gaussian distributions for the signal plus a linearly decreasing shape for the background. Right: comparison of the photoelectron yield from the Cerenkov light in the radiator gas as a function of the radiator gas pressure for the test-beam data (red circles) and Monte Carlo data (blue squares). Fig. 7.4 (left:eps,pdf) (right:eps,pdf) Schematic view of the support mechanics for one of the ALFA detectors and of its location at a distance of +/-240m from the ATLAS interaction point (left). One of the as-built structures, which will house the scintillating-fibre trackers (right). Fig. 7.5 (eps,pdf) Schematic layout of the ALFA detector in the Roman pot, showing the scintillating-fibre stack, the fibre connectors, the multi-anode photomultipliers, and the front-end boards. The Roman pots(labelled as upper and lower) approach the beam-line from above and below (left). Details of the scintillating-fibre stack (right). Fig. 7.6 (eps,pdf) The spatial resolution as function of the beam energy compared to GEANT4 simulations with and without the contributions from multiple scattering. Fig. 7.7 (eps,pdf) Comparison between the edges of ALFA and a reference trigger counter of the y coordinates measured with the silicon detector. Dotted lines represent edge fits smeared by detector resolution for 6GeV electrons. Fig. 7.8 (eps,pdf) a) The electromagnetic ZDC module. The incident particles impinge on tungsten plates at the bottom of the module and produces showers of particles. The quartz rods pick up the Cerenkov light generated by the shower and transmit it to multi-anode phototubes at the top of the module. The phototubes measure light from the quartz strips through four air light-guides. b) Details showing the placement of the quartz strips.

# Chapter 8 (Trigger, data acquisition, and controls)

 Fig. 8.1 (eps,pdf) Block diagram of the ATLAS trigger and data acquisition systems. Fig. 8.2 (eps,pdf) Block diagram of the L1 trigger. The overall L1 accept decision is made by the central trigger processor, taking input from calorimeter and muon trigger results. The paths to the detector front-ends, L2 trigger, and data acquisition system are shown from left to right in red, blue and black, respectively. Fig. 8.3 (eps,pdf) Architecture of the L1 calorimeter trigger. Analogue data from the calorimeters are digitised and associated with the correct bunch-crossing in the pre-processor and then sent to two algorithmic processors, the jet/energy-sum processor and the cluster processor. The resulting hit counts and energy sums are sent to the central trigger processor. Fig. 8.4 (eps,pdf) Electron/photon and tau trigger algorithms. Fig. 8.5 (eps,pdf) ET local-maximum test for a cluster/RoI candidate. The eta-axis runs from left to right, and the phi-axis from bottom to top. The symbol R refers to the candidate 2x2 region being tested. Fig. 8.6 (eps,pdf) Jet trigger algorithms, based on 0.2x0.2 jet elements and showing RoI's (shaded). In the 0.6x0.6 case there are four possible windows containing a given RoI. In the 0.8x0.8 case the RoI is required to be in the centre position, in order to avoid the possibility of two jets per window. Fig. 8.7 (left:eps,pdf) (right:eps,pdf) Schema (left) and segmentation (right) of the L1 muon barrel trigger. Left: The RPC's are arranged in three stations: RPC1, RPC2, and RPC3. Also shown are the low-pT and high-pT roads. Right: areas covered by eta and phi coincidence-matrix (CM) boards, by an RoI, by a Pad logic board, and by sector logic boards. Fig. 8.8 (eps,pdf) Schema of the trigger signal and readout chain of the L1 barrel muon trigger. Fig. 8.9 (left:eps,pdf) (right:eps,pdf) Schema (left) and segmentation (right) of the L1 muon end-cap trigger. Fig. 8.10 (eps,pdf) Schema of the trigger signal and readout chain of the L1 muon end-cap trigger. Fig. 8.11 (eps,pdf) Layout of the VMEbus crate for the central trigger processor of the L1 trigger. The calibration module has the further function of receiving additional trigger signals, which are transmitted to one of the input module connectors via a front panel cable. The LTP links are the connection to the individual sub-detector systems. Fig. 8.12 (eps,pdf) Schema of the distribution of timing signals from the LHC radio-frequency system to ATLAS and within the experiment. Here ROD (Readout Driver) more generally denotes the readout electronics in the counting rooms which receive the timing signals, while front-end denotes electronics mounted on the detector components in the main cavern. Fig. 8.13 (eps,pdf) Expected average RoI request rate per ROS for a luminosity of 10^33 cm^-2s^-1. Fig. 8.14 (eps,pdf) The maximum sustainable L1 trigger accept rate as a function of the L2 trigger acceptance for the ROS which is most solicited for RoI data by the L2 trigger. Also shown is the expected operating point at high luminosity. Fig. 8.15 (eps,pdf) Architecture of the DCS.

# Chapter 9 (Integration and installation)

 Fig. 9.1 (eps,pdf) Vertical displacements of the ATLAS cavern floor, measured as a function of time in various reference points since August 2003. The beam interaction point is at the origin (x=0, z=0). The labels used for the reference points are the following: C23-7 represents a point on side C at a distance of 23m longitudinally from the interaction point and of 7m radially opposite to the centre of the LHC ring. In contrast, A23+10 represents a point on side A at the same longitudinal distance from the interaction point, but at a distance of 10m radially towards the centre of the LHC ring. The points labelled B are located right in the middle of the cavern, nominally at z=0. Fig. 9.2 (eps,pdf) Deviations of geometrical axes of main components of the ATLAS barrel from nominal. Shown are the deviations in mm in the x-z plane. Fig. 9.3 (eps,pdf) Deviations of geometrical axes of main components of the ATLAS barrel from nominal. Shown are the deviations in mm in the y-z plane. Fig. 9.4 (eps,pdf) Layout of surface buildings and of access shafts to the ATLAS cavern at point 1. The main areas of underground activity are the main cavern (UX15) and the main counting room and service cavern(USA15). The main control room is in building SCX1 on the surface. Fig. 9.5 (eps,pdf) Air ducts installed for ventilation in the shaft and main cavern. Fig. 9.6 (eps,pdf) Layout of the underground external and proximity cryogenics lines for the LAr calorimeters. Fig. 9.7 (eps,pdf) Quantities of cable and flexible-pipe bundles installed by the cabling team. Fig. 9.8 (eps,pdf) Detailed three-dimensional layout and routing of cables and services for the ATLAS barrel system. The three flexible chains for the end-cap calorimeters can be seen in the horizontal plane (right) on the side where the end-cap calorimeter trigger cables can reach the main service cavern (USA15) along the shortest possible path, and at 45degC below the horizontal plane. One also sees the cryogenic lines for liquid argon at the top and bottom of the drawing. The inner barrel muon chambers in the central region are shown. One clearly sees the holes in the acceptance caused by the considerable volume of services exiting the detector at z~0. Fig. 9.9 (eps,pdf) The end-cap calorimeter on side A in its fully open position with all three drag-chains and the flexible LAr fill-line connected. Fig. 9.10 (eps,pdf) The ATLAS feet and rail system after installation and prior to the installation of the first barrel toroid coil. Also shown are the blue steel surrounding structures (HS and HO), and, in the background, one of the orange HF trucks. Fig. 9.11 (eps,pdf) The blue support structures (HS on the sides and HO at the ends of the main cavern) at the beginning of ATLAS installation. The arches which now connect the two sides of HS at the top of the main cavern were left out at the time for the installation of the barrel toroid. A barrel toroid coil is in the process of being lowered onto its temporary supports. Fig. 9.12 (eps,pdf) One of the assembled TGC big wheels in the ATLAS cavern. The chambers are fixed to an aluminium structure, which was pre-assembled into sectors on the surface and then assembled as a complete wheel in the cavern itself. Fig. 9.13 (eps,pdf) Lowering of the barrel LAr calorimeter down to the cavern in October 2004. The first barrel toroid coil can also be seen on a temporary support platform before it is installed in the cradles of the feet. Fig. 9.14 (eps,pdf) View of installed barrel muon spectrometer stations and end-cap calorimeter on side A. Fig. 9.15 (left:eps,pdf) (right:eps,pdf) View of barrel calorimeter and inner-detector end-flange after installation of the first inner-detector end-cap in early June 2007 (left). This was followed shortly thereafter by the installation of the second inner-detector end-cap and of the pixel detector with the central VI section of the vacuum pipe (right). Fig. 9.16 (eps,pdf) Lowering of the first end-cap toroid magnet onto the truck on side A in June 2007. One of the TGC big wheels can be seen on the right of the picture.

# Chapter 10 (Expected performance of the ATLAS detector)

## Section 10.1 (Introduction)

 Fig nb Figs in paper Figs for conferences Caption 10.1 (eps,pdf) (eps,pdf) Sketch of the ATLAS combined test-beam set-up. 10.2 (eps,pdf) (eps,pdf) Picture of the combined test-beam set-up for the inner detector and the calorimeters. The beam particles come from the left of the picture, traverse the magnet and then hit the calorimeters on the right side of the picture. On the left, just behind the pole tips of the magnet in which the pixel and SCT modules were installed, are the barrel TRT modules. On the yellow rotating support table is the cryostat housing the LAr electromagnetic calorimeter modules and behind it (right side of the picture) are the tile calorimeter barrel (not visible) and extended barrel modules. 10.3 (eps,pdf) (eps,pdf) Picture of the combined test-beam set-up for the end-cap muon chamber system. The beam particles come from the right side of the picture, traverse the barrel muon chamber set-up, which is mostly hidden by the concrete blocks, and then go through three stations of end-cap MDT and TGC chambers.

## Section 10.2 (Reconstruction and identification of charged particles in the inner detector)

 Fig nb Figs in paper Figs for conferences Caption 10.4 (eps,pdf) (eps,pdf) Distributions of pixel (left) and SCT (right) residuals for the most accurate measurement coordinate, as obtained for charged pions with an energy of 100GeV in the combined test-beam data. The results are shown for tracks reconstructed in the pixel and SCT detectors before (dashed histogram) and after (full histogram) alignment. The curves represent Gaussian fits to the residuals after alignment. Because of the large misalignments of certain modules, most of the entries before alignment lie outside the boundaries of the plots. 10.5 (eps,pdf) (eps,pdf) Fractional momentum resolution for pions as a function of pion momentum. The results are compared between data after alignment and simulation. 10.6 (eps,pdf) (eps,pdf) Difference between the reconstructed and true mass of dimuon pairs from Z to mu mu decay. The results are shown in the case of an ideal (perfectly aligned) inner detector (open circles) and for the inner detector after a first-pass alignment (full circles), based on high-pT muon tracks and cosmic rays. 10.7 (eps,pdf) (eps,pdf) Asymmetry between negative and positive muons as a function of pT, as obtained for the sample of Z to mu mu decays reconstructed in the inner detector and described in the text. The results are shown in the case of an ideal (perfectly aligned) inner detector (open circles) and for the inner detector after a first-pass alignment (full circles). 10.8 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Relative transverse momentum resolution (left) as a function of abs eta for muons with pT=1GeV (open circles), 5GeV (full triangles) and 100~GeV (full squares). Transverse momentum, at which the multiple-scattering contribution equals the intrinsic resolution, as a function of abs eta (right). 10.9 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Transverse impact parameter, d_0, resolution (left) as a function of abs eta for pions with pT=1GeV (open circles), 5GeV (full triangles) and 100GeV (full squares). Transverse momentum, at which the multiple-scattering contribution equals the intrinsic resolution, as a function of abs eta (right). 10.10 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Modified longitudinal impact parameter, z_0 x sin theta, resolution (left) as a function of abs eta for pions with pT=1GeV (open circles), 5GeV (full triangles) and 100GeV (full squares). Transverse momentum, at which the multiple-scattering contribution equals the intrinsic resolution, as a function of abs eta (right). 10.11 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Charge misidentification probability for high energy muons and electrons as a function of pT for particles with abs eta leq 2.5 (left) and as a function of abs eta for pT=2TeV (right). 10.12 (eps,pdf) (eps,pdf) Track reconstruction efficiencies as a function of abs eta for muons, pions and electrons with pT=5GeV. The inefficiencies for pions and electrons reflect the shape of the amount of material in the inner detector as a function of abs eta. 10.13 (eps,pdf) (eps,pdf) Track reconstruction efficiencies as a function of abs eta for pions with pT=1, 5 and 100GeV. 10.14 (eps,pdf) (eps,pdf) Track reconstruction efficiencies and fake rates as a function of abs eta, for charged pions in jets in ttbar events and for different quality cuts. "Reconstruction" refers to the basic reconstruction before additional quality cuts. 10.15 (eps,pdf) (eps,pdf) Track reconstruction efficiencies and fake rates as a function of the distance Delta R (defined as Delta R = sqrt{Delta eta^2 + Delta phi^2}) of the track to the jet axis, using the standard quality cuts and integrated over abs eta<2.5. 10.16 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Primary vertex residual along x, in the transverse plane (left), and along z, parallel to the beam (right), for events containing top-quark pairs and H to gg decays with m_H=110GeV. The results are shown without pile-up and without any beam constraint. 10.17 (eps,pdf) (eps,pdf) Resolution for the reconstruction of the radial position of the secondary vertex for three-prong hadronic tau-decays in Z to tautau events, as a function of the pseudorapidity of the tau. The tau-leptons have an average transverse momentum of 36GeV. The distributions are fitted to a Gaussian core with width sigma(fit). The fractions of events found within +/-1 sigma (68.3% coverage) and +/-2 sigma (95% coverage) are also shown. 10.18 (eps,pdf) (eps,pdf) Resolution for the reconstruction of the radial position of the secondary vertex for j/psi to mu mu decays in events containing B-hadron decays, as a function of the pseudorapidity of the j/psi. The j/psi have an average transverse momentum of 15GeV. 10.19 (eps,pdf) (eps,pdf) Resolution for reconstruction of radial position of secondary vertex for K^0_s to pi^+pi^- decays in events containing B-hadron decays, as a function of the K^0_s decay radius. 10.20 (eps,pdf) (eps,pdf) Resolution for reconstruction of the invariant mass of the charged-pion pair for K^0_s to pi^+pi^- decays in events containing B-hadron decays, as a function of the K^0_s decay radius. 10.21 (eps,pdf) (eps,pdf) Fraction of energy lost on average by electrons with pT=25GeV as a function of abs eta, when exiting the pixel, the SCT and the inner-detector tracking volumes. The fraction of energy lost is not a strong function of the electron energy. For abs eta>2.2, there is no TRT material, hence the SCT and TRT lines merge. 10.22 (eps,pdf) (eps,pdf) Probability for a photon to have converted as a function of radius for different values of abs eta, shown for photons with pT>1GeV in minimum-bias events. The probability is not a strong function of the photon energy. 10.23 (eps,pdf) (eps,pdf) Probability distribution for the ratio of the true to reconstructed momentum for electrons with pT=25GeV and abs eta>1.5. The results are shown as probabilities per bin for the default Kalman fitter and for two bremsstrahlung recovery algorithms. 10.24 (eps,pdf) (eps,pdf) Probability for reconstructed invariant mass of electron pairs from j/psi to ee decays in events with B_d to j/psi(ee) K^0_s. The results are shown for the default Kalman fitter and for two bremsstrahlung recovery algorithms. The true j/psi mass is shown by the dotted line. 10.25 (eps,pdf) (eps,pdf) Average probability of a high-threshold hit in the barrel TRT as a function of the Lorentz gamma-factor for electrons (open squares), muons (full triangles) and pions (open circles) in the energy range 2-350GeV, as measured in the combined test-beam. 10.26 (eps,pdf) (eps,pdf) Pion efficiency shown as a function of the pion energy for 90% electron efficiency, using high-threshold hits (open circles), time-over-threshold (open triangles) and their combination (full squares), as measured in the combined test-beam. 10.27 (eps,pdf) (eps,pdf) Expected pion efficiency as a function of abs eta for an efficiency of 90% for electrons with pT= 25GeV. 10.28 (eps,pdf) (eps,pdf) Efficiency to reconstruct conversions of photons with pT=20GeV and abs eta<2.1, as a function of the conversion radius. Shown are the efficiencies to reconstruct single tracks from conversions, the pair of tracks from the conversion and the conversion vertex. The errors are statistical. 10.29 (eps,pdf) (eps,pdf) Efficiency to identify conversions of photons with pT=20GeV and abs eta<2.1, as a function of the conversion radius. The overall efficiency is a combination of the efficiency to reconstruct the conversion vertex, as shown also in Fig. X, and of that to identify single-track conversions. The errors are statistical.

## Section 10.3 (Muon reconstruction and identification)

 Fig nb Figs in paper Figs for conferences Caption 10.30 (eps,pdf) (eps,pdf) Sagitta measurement in the muon combined test-beam barrel sector set-up as a function of the value of systematic displacements of the middle barrel chamber in the direction indicated by the sketch. 10.31 (eps,pdf) (eps,pdf) Sagitta measurement in the muon combined test-beam barrel sector set-up as a function of the value of systematic rotations of the inner barrel chamber around the axis indicated by the sketch (x-axis parallel to the drift tubes). 10.32 (eps,pdf) (eps,pdf) For muons with pT=100GeV, expected fractional momentum resolution as a function of abs eta for stand-alone and combined reconstruction. The degradation in the region with 1.11.7. 10.37 (eps,pdf) (eps,pdf) Efficiency for reconstructing muons with pT=100GeV as a function of abs eta. The results are shown for stand-alone reconstruction, combined reconstruction and for the combination of these with the segment tags discussed in the text. 10.38 (eps,pdf) (eps,pdf) Efficiency for reconstructing muons as a function of pT. The results are shown for stand-alone reconstruction, combined reconstruction and for the combination of these with the segment tags discussed in the text. 10.39 (eps,pdf) (eps,pdf) For stand-alone muon reconstruction, reconstructed invariant mass distribution of dimuons from Z to mu mudecays for an aligned layout of the chambers and for a misaligned layout, where all chambers are displaced and rotated randomly by typically 1mm and 1mrad. 10.40 (eps,pdf) (eps,pdf) For H to mu mu mu mu decays with m_H=130GeV, reconstructed mass of the four muons using stand-alone reconstruction. The results do not include a Z-mass constraint. 10.41 (eps,pdf) (eps,pdf) For H to mu mu mu mu decays with m_H=130GeV, reconstructed mass of the four muons using combined reconstruction. The results do not include a Z-mass constraint.

## Section 10.4 (Electrons and photons)

 Fig nb Figs in paper Figs for conferences Caption 10.42 (eps,pdf) (eps,pdf) Average energy loss in GeV as a function of abs eta for electrons with an energy of 100GeV. The results are shown before the presampler (open circles) and the strip layer (crosses). 10.43 (eps,pdf) (eps,pdf) Fraction of photons converting at a radius of below 80cm (115cm) in open (full) circles as a function of abs eta. 10.44 (eps,pdf) (eps,pdf) Electron energy response modulation as a function of the eta offset within the cell. The curve represents a fit to the points used to parametrise the correction. 10.45 (eps,pdf) (eps,pdf) Electron energy response modulation as a function of the phi offset from the absorber. The curve represents a fit to the points used to parametrise the correction. 10.46 (eps,pdf) (eps,pdf) Difference between measured and true energy normalised to true energy for electrons with an energy of 100GeV at eta=0.325. 10.47 (eps,pdf) (eps,pdf) Difference between measured and true energy normalised to true energy for electrons with an energy of 100GeV at eta=1.075. 10.48 (eps,pdf) (eps,pdf) Difference between measured and true energy normalised to true energy for all photons with an energy of 100GeV at eta=1.075. 10.49 (eps,pdf) (eps,pdf) Difference between measured and true energy normalised to true energy for unconverted photons with an energy of 100GeV at eta=1.075. 10.50 (eps,pdf) (eps,pdf) Expected relative energy resolution as a function of energy for electrons at abs eta=0.3, 1.1, and 2.0. The curves represent fits to the points at the same abs eta by a function containing a stochastic term, a constant term and a noise term. 10.51 (eps,pdf) (eps,pdf) Expected relative energy resolution as a function of energy for photons at abs eta=0.3, 1.1, and 2.0. The curves represent fits to the points at the same eta by a function containing a stochastic term, a constant term and a noise term. 10.52 (eps,pdf) (eps,pdf) Expected relative energy resolution as a function of abs eta for electrons with an energy of 100GeV. 10.53 (eps,pdf) (eps,pdf) Expected relative energy resolution as a function of abs eta for photons with an energy of 100GeV. 10.54 (eps,pdf) (eps,pdf) Expected eta-position resolution as a function of abs eta for photon showers with an energy of 100GeV and for the two main layers of the barrel and end-cap electromagnetic calorimeters. 10.55 (eps,pdf) (eps,pdf) Expected precision on the polar angle theta of photons from H to gamma gamma decays as a function of abs eta, expressed in units of mrad sqrt{E}, where E is the measured energy of the photon shower in GeV. 10.56 (eps,pdf) (eps,pdf) Overall reconstruction and identification efficiency of various levels of electron cuts: loose, medium, and tight isol. as a function of ET for single electrons (open symbols) and for isolated electrons in a sample of physics events with a busy environment (full symbols). 10.57 (eps,pdf) (eps,pdf) Jet rejection as a function of overall reconstruction and identification efficiency for electrons, as obtained using a likelihood method (full circles). The results obtained with the standard cut-based method are also shown in the case of tight TRT (open triangle) and tight isol. (open square) cuts. 10.58 (eps,pdf) (eps,pdf) For electrons with pT=25GeV and abs eta>1.5, integral probability for ratio of true to reconstructed transverse momentum to exceed a given value. The various symbols represent different track-fitting algorithms (see Section X) and the bremsstrahlung recovery algorithm, which uses the accurate measurement of the shower position in phi in the electromagnetic calorimeter. 10.59 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) For reconstructed photon candidates with ET>25GeV (left) and with ET>40GeV (right), jet rejection as a function of photon efficiency, as obtained using a likelihood method. The results obtained with the standard cut-based method are also shown for reference. 10.60 (eps,pdf) (eps,pdf) Expected distribution for the invariant mass of the four electrons from Higgs-boson decays with m_H=130GeV. The energies of the electrons are determined only from the electromagnetic calorimeter measurements. The results do not include a Z-mass constraint. 10.61 (eps,pdf) (eps,pdf) Expected distribution for the invariant mass of the two photons from Higgs-boson decays with m_H=120GeV. The shaded plot corresponds to events in which at least one of the two photons converted at a radius below 80cm. 10.62 (eps,pdf) (eps,pdf) Distribution of the transverse energy accumulated in Delta eta x Delta phi = 0.1 x 0.025 middle-layer regions with a few hours of minimum bias events. The full histogram corresponds to the hemisphere with a nominal amount of inner-detector material in the simulation for 1.8

## Section 10.5 (Jet reconstruction)

 Fig nb Figs in paper Figs for conferences Caption 10.66 (eps,pdf) (eps,pdf) Jet reconstruction flow for calorimeter jets from towers or clusters. 10.67 (eps,pdf) (eps,pdf) Expected noise from the electronics and pile-up at 2x10^33cm^-2s^-1 in individual cells of the various compartments of the calorimeters as a function of abs eta. See Fig. X for the pure electronic noise expected from the various compartments of the calorimeters. Note that the presampler noise is corrected for by the appropriate sampling fractions as discussed in Section X. 10.68 (eps,pdf) (eps,pdf) Average electronic noise contribution to cone jets with R_cone=0.7 in QCD di-jet events, reconstructed from towers (open circles) and topological cell clusters (full circles), as a function of abs eta. 10.69 (eps,pdf) (eps,pdf) Average total number of cells contributing to cone jets with R_cone=0.7 in QCD di-jet events, reconstructed from towers (open circles) and topological cell clusters (full circles), as a function of the jet energy. 10.70 (eps,pdf) (eps,pdf) Signal linearity for cone-tower jets with R_cone=0.7, as expressed by the ratio of reconstructed tower jet energy to the matching truth-jet energy E_rec/E_truth, in two different regions of abs eta and as a function of E_truth. Jet signals calibrated at the electromagnetic energy scale are compared to the fully calibrated jets. 10.71 (eps,pdf) (eps,pdf) Fractional energy resolution for calibrated cone-tower jets reconstructed with R_cone=0.7 and R_cone=0.4 in two different regions of abs eta and as a function of E_truth 10.72 (eps,pdf) (eps,pdf) For cone-tower jets reconstructed with R_cone=0.7, distribution of Delta R between reconstructed and matched particle jet axes for two different transverse energy and eta-ranges. 10.73 (eps,pdf) (eps,pdf) For cone-cluster jets reconstructed with R_cone=0.7, distribution of Delta R between reconstructed and matched particle jet axes for two different transverse energy and eta-ranges. 10.74 (eps,pdf) (eps,pdf) Signal uniformity for QCD di-jets in two different ET ranges, as a function of abs eta of the matched truth-particle jet. The results are shown for cone-tower jets with Rcone=0.7 and R_cone=0.4. 10.75 (eps,pdf) (eps,pdf) Jet energy resolution for QCD di-jets in two different ET ranges, as a function of abs eta of the matched truth-particle jet. The results are shown for cone-tower jets with R_cone=0.7 and R_cone=0.4. 10.76 (eps,pdf) (eps,pdf) Efficiency of jet reconstruction in VBF-produced Higgs-boson events as a function of pT of the truth-particle jet for cone-tower and cone-cluster jets with R_cone=0.7. 10.77 (eps,pdf) (eps,pdf) Purity of jet reconstruction in VBF-produced Higgs-boson events as a function of pT of the reconstructed jet for cone-tower and cone-cluster jets with R_cone=0.7. 10.78 (eps,pdf) (eps,pdf) Efficiency of jet reconstruction in VBF-produced Higgs-boson events as a function of the rapidity y of the truth-particle jet for pT^jet > 10GeV and pT^jet > 20GeV and for cone-tower and cone-cluster jets with R_cone=0.7. 10.79 (eps,pdf) (eps,pdf) Purity of jet reconstruction in VBF-produced Higgs-boson events as a function of the rapidity y of the reconstructed jet for pT^jet > 10GeV and pT^jet > 20GeV and for cone-tower and cone-cluster jets with R_cone=0.7. 10.80 (eps,pdf) (eps,pdf) Jet response for seeded cone-tower jets (R_cone=0.4) in gamma+jet events, averaged over eta and calculated by the missing transverse momentum fraction method, as a function of the jet energy. The calorimeter signals are reconstructed at the electromagnetic energy scale. 10.81 (eps,pdf) (eps,pdf) Jet response for seeded cone-tower jets (R_cone=0.4) from the same events and again calculated by the missing transverse momentum fraction method, as a function of the jet direction, abs eta_jet. The degraded response in the calorimeter crack regions is clearly visible. 10.82 (eps,pdf) (eps,pdf) Ratio of the reconstructed di-jet mass from W to jj decays in ttbar events to the nominal mass as a function of the transverse momentum of the W-boson, p_T^W, for globally calibrated cone-tower jets with R_cone=0.7. Shown are the results for the nominal jet-selection cuts, pT > 40GeV (open circles), for jets reconstructed with pT > 10GeV (open squares) and for jets re-scaled to obtain a more uniform response as a function of abs eta (full triangles).

## Section 10.6 (Missing transverse energy)

 Fig nb Figs in paper Figs for conferences Caption 10.83 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Linearity of response for reconstructed ET^miss as a function of the average true ET^miss for different physics processes covering a wide range of true ET^miss and for the different steps of ET^miss reconstruction. The points at average true ET^miss of 20GeV are from Z to tau tau events, those at 35GeV are from W to e nu and W to mu nu events, those at 68GeV are from semi-leptonic ttbar events, those at 124GeV are from A to tau tau events with m_A=800GeV, and those at 280GeV are from events containing supersymmetric particles at a mass scale of 1TeV (left). Linearity of response for reconstructed ET^miss as a function of the true ET^miss for A to tau tau events with m_A=800GeV (right). 10.84 (left:eps,pdf) (right:eps,pdf) (left:eps,pdf) (right:eps,pdf) Resolution sigma of the two components of the ET^miss vector after refined calibration as a function of the total transverse energy, Sum ET, measured in the calorimeters for different physics processes corresponding to low to medium values of Sum ET (left) and to higher values of Sum ET(right). The curves correspond respectively to the best fit, sigma= 0.53 \sqrt{Sum ET}, through the points from Z to tau tau events (left) and to the best fit, sigma=0.57 sqrt{Sum ET}, through the points from A to tau tau events (right). The points from A to tau tau events are for masses m_A ranging from 150 to 800GeV and the points from QCD jets correspond to di-jet events with 560

## Section 10.7 (Hadronic tau-decays)

 Fig nb Figs in paper Figs for conferences Caption 10.89 (eps,pdf) (eps,pdf) Reconstruction efficiency for charged-pion tracks as a function of the pion transverse momentum for single- and three-prong hadronic tau-decays from W to tau nu and Z to tau tau signal samples. 10.90 (eps,pdf) (eps,pdf) Reconstruction efficiency for the charged-pion track as a function of abs eta for three different ranges of pion pT, for single-prong hadronic tau-decays from W to tau nu and Z to tau tau signal samples. 10.91 (eps,pdf) (eps,pdf) Energy response, expressed as the ratio (Erec-Etruth)/Etruth, where Erec (resp. Etruth) are the reconstructed (resp. true) visible energies, for single-prong hadronic tau-decays from a W to tau nu signal sample with one reconstructed electromagnetic cluster. 10.92 (eps,pdf) (eps,pdf) Distribution of reconstructed invariant mass of visible decay products, for single-prong hadronic tau-decays from a W to tau nu signal sample with at least one reconstructed electromagnetic cluster. 10.93 (eps,pdf) (eps,pdf) Expected rejection against hadronic jets as a function of the efficiency for hadronic tau-decays for the track-based algorithm using a neural-network selection. The results are shown separately for single- and three-prong decays and for two ranges of visible transverse energy. 10.94 (eps,pdf) (eps,pdf) Expected rejection against hadronic jets as a function of the efficiency for hadronic tau-decays for the calorimeter-based algorithm using a likelihood selection. The results are shown separately for single- and three-prong decays and for two ranges of visible transverse energy. 10.95 (eps,pdf) (eps,pdf) Track multiplicity distributions obtained for hadronic tau-decays with visible transverse energy above 20GeV using the track-based tau-identification algorithm. The distributions are shown after reconstruction, after cut-based identification and finally after applying the neural network (NN) discrimination technique for an efficiency of 30% for the signal. 10.96 (eps,pdf) (eps,pdf) Track multiplicity distributions obtained for the background from QCD jets with visible transverse energy above 20GeV using the track-based tau-identification algorithm. The distributions are shown after reconstruction, after cut-based identification and finally after applying the neural network (NN) discrimination technique for an efficiency of 30% for the signal.

## Section 10.8 (Flavour tagging)

 Fig nb Figs in paper Figs for conferences Caption 10.97 (eps,pdf) (eps,pdf) Signed transverse impact parameter, d_0, distribution for b-jets, c-jets and light jets. 10.98 (eps,pdf) (eps,pdf) Signed transverse impact parameter significance, d_0/sigma_{d_0}, distribution for b-jets, c-jets and light jets. 10.99 (left:eps,pdf) (center:eps,pdf) (right:eps,pdf) (left:eps,pdf) (center:eps,pdf) (right:eps,pdf) Properties of secondary vertices reconstructed in b-jets and light jets: invariant mass of all tracks originating from the vertex (left), the ratio of the sum of the energies of the tracks originating from the vertex to the sum of the energies of all tracks in the jet (middle) and number of two-track vertices (right). 10.100 (eps,pdf) (eps,pdf) Jet b-tagging weight distribution for b-jets, c-jets and purified light jets (see Section X). The b-tagging algorithm is based on the transverse impact parameter significance of tracks. 10.101 (eps,pdf) (eps,pdf) Jet b-tagging weight distribution for b-jets, c-jets and purified light jets (see Section X). The b-tagging algorithm uses the transverse and longitudinal impact parameter significances of tracks as well as the properties of the secondary vertex found in the jet. 10.102 (eps,pdf) (eps,pdf) Rejection of light jets and c-jets with and without purification versus b-jet efficiency for WH events with m_H=120GeV, using the b-tagging algorithm based on the 3D impact parameter and secondary vertices. 10.103 (eps,pdf) (eps,pdf) Rejection of light jets and c-jets with and without purification versus b-jet efficiency for ttbar events, using the b-tagging algorithm based on the 3D impact parameter and secondary vertices. 10.104 (eps,pdf) (eps,pdf) Rejection of purified light jets as a function of the jet transverse momentum for two different b-tagging algorithms operating at a fixed b-tagging efficiency of 60% in each bin. 10.105 (eps,pdf) (eps,pdf) Rejection of purified light jets as a function of the jet pseudorapidity for two different b-tagging algorithms operating at a fixed b-tagging efficiency of 60% in each bin. 10.106 (eps,pdf) (eps,pdf) Rejection of light jets versus b-tagging efficiency in ttbar events (branching ratios to lepton and lepton identification efficiency included) for the soft-muon b-tagging algorithm. The results are shown without and with the pile-up and cavern background expected at a luminosity of 10^33cm^-2s^-1. 10.107 (eps,pdf) (eps,pdf) Rejection of light jets versus b-tagging efficiency in WH events (branching ratios to lepton and lepton identification efficiency included) for the soft-electron b-tagging algorithm.

## Section 10.9 (Trigger performance)

 Fig nb Figs in paper Figs for conferences Caption 10.108 (eps,pdf) (eps,pdf) Trigger efficiencies at L1, L2 and EF as a function of the true electron ET for the e10 menu item. The efficiencies are obtained for single electrons and are normalised with respect to the medium set of offline electron cuts discussed in Section X. 10.109 (eps,pdf) (eps,pdf) Relative rates versus abs eta for jets passing the L1, L2 and EF trigger selections for the e10 menu item. The relative rates are shown for each of the seven eta-ranges used to optimise the offline selection of isolated electrons and are normalised as described in the text. 10.110 (eps,pdf) (eps,pdf) Trigger efficiencies at L1, L2 and EF as a function of the true photon ET for the gamma20i menu item. The efficiencies are obtained for single photons and normalised with respect to loose offline photon identification cuts. 10.111 (eps,pdf) (eps,pdf) Normalised relative rates versus abs eta for jets passing the L1, L2 and EF trigger selections for the gamma20i menu item. The relative rates are shown for each of the six eta-ranges used to optimise the offline selection of isolated photons and are normalised as described in the text. The bin corresponding to the barrel/end-cap transition region is not shown because the offline selection excludes it. 10.112 (eps,pdf) (eps,pdf) Trigger efficiencies at L1, L2 and EF as a function of the true visible ET of the hadronic tau-decays for the tau20i menu item. 10.113 (eps,pdf) (eps,pdf) Efficiency after EF for tau-trigger items with different thresholds as a function of the true visible ET of the hadronic tau-decay. 10.114 (eps,pdf) (eps,pdf) Expected differential spectrum for single jets as a function of the reconstructed ET of the leading jet. The solid line shows the distribution after applying the L1 trigger thresholds and pre-scale factors presented in Table X, while the dashed line represents the distribution expected without any trigger requirements. 10.115 (eps,pdf) (eps,pdf) Efficiency as a function of the true jet ET (as defined for a cone of size Delta R=0.4) for each of the single-jet L1 menu items shown in Table X. 10.116 (eps,pdf) (eps,pdf) Acceptance map in eta-phi space for the L1 muon trigger, which covers the eta-range abs eta<2.4. The black points represent regions not instrumented with L1 trigger detectors because of the presence of various supports and services. 10.117 (eps,pdf) (eps,pdf) Estimated EF output rates for muons as a function of pT-threshold at a luminosity of 10^31 cm^-2 s^-1, integrated over the full eta-range covered by the L1 trigger, abs eta<2.4. 10.118 (eps,pdf) (eps,pdf) Trigger efficiency for B_s to D^-_s a_1^+ events passing the offline selection as a function of the pT of the B-meson. The results are shown for two HLT scenarios, the most performant one, based on a full scan of the inner detector which can be used at low luminosity, and a RoI-based scan which can be used at higher luminosities. 10.119 (eps,pdf) (eps,pdf) Light-jet rejection factor as a function of b-jet efficiency at L2 and EF. 10.120 (eps,pdf) (eps,pdf) Rate reduction after L2 and EF as a function of ET, using b-jet signatures with an efficiency of 70% per b-jet. Specific examples are shown, e.g. 3b(HLT) 4J(L1) which uses the combination of four jets at L1 and of three b-jets at the HLT. 10.121 (eps,pdf) (eps,pdf) Trigger efficiencies as expected to be measured from data using the tag-and-probe method for electrons from approximately 25,000 Z to ee decays corresponding to an integrated luminosity of 100pb^-1. The efficiencies are normalised with respect to a reference loose offline selection. The points with error bars show the measured efficiencies after L1 (full circles), L2 (open triangles) and the EF (full squares). Also shown as histograms are the corresponding distributions obtained using as a reference the Monte-Carlo truth information. 10.122 (eps,pdf) (eps,pdf) Difference between trigger efficiency as expected to be measured from data (using the tag-and-probe method for muons from Z to mu mu decays) and true efficiency (obtained using as a reference the Monte-Carlo truth information) normalised to true efficiency as a function of eta. The efficiencies are normalised with respect to a reference loose offline selection. The results are shown after L1 (top), L2 (middle) and EF (bottom), and correspond to a sample of approximately 50,000 Z to mu mu decays for an integrated luminosity of 100pb^-1.

 yyy (eps,pdf) (eps,pdf)

Major updates:
-- ManuellaVincter - 16 Jan 2008

Responsible: ManuellaVincter
Last reviewed by: Never reviewed

Topic attachments
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pdf LARG8b-feb_schematics.pdf r1 manage 9.9 K 2008-01-28 - 04:10 DanielFroidevaux
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pdf activation_standard_access.pdf r1 manage 64.7 K 2008-01-25 - 05:50 DanielFroidevaux
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pdf allPhotEresol_vs_Energy_b35_e55.pdf r1 manage 12.2 K 2008-01-29 - 04:49 DanielFroidevaux
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pdf allg100gev_eta105_35.pdf r1 manage 10.7 K 2008-01-29 - 04:48 DanielFroidevaux
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pdf convPlot2.pdf r1 manage 11.3 K 2008-01-29 - 06:02 DanielFroidevaux
eps convPlot_r.eps r1 manage 16.6 K 2008-01-29 - 06:00 DanielFroidevaux
pdf convPlot_r.pdf r1 manage 10.9 K 2008-01-29 - 06:01 DanielFroidevaux
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eps ctp-schema.eps r1 manage 279.7 K 2008-01-28 - 07:06 DanielFroidevaux
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eps desc1011.eps r1 manage 35.7 K 2008-01-25 - 05:45 DanielFroidevaux
pdf desc1011.pdf r1 manage 37.1 K 2008-01-25 - 05:45 DanielFroidevaux
eps desc2.eps r1 manage 773.9 K 2008-01-25 - 05:41 DanielFroidevaux
pdf desc2.pdf r1 manage 15.9 K 2008-01-25 - 05:42 DanielFroidevaux
eps desc5.eps r1 manage 2274.7 K 2008-01-25 - 05:42 DanielFroidevaux
pdf desc5.pdf r1 manage 52.7 K 2008-01-25 - 05:42 DanielFroidevaux
eps desc6.eps r1 manage 5951.2 K 2008-01-25 - 05:42 DanielFroidevaux
pdf desc6.pdf r1 manage 185.6 K 2008-01-25 - 05:43 DanielFroidevaux
eps desc7.eps r1 manage 302.3 K 2008-01-25 - 05:43 DanielFroidevaux
pdf desc7.pdf r1 manage 45.0 K 2008-01-25 - 05:44 DanielFroidevaux
eps desc9.eps r1 manage 135.8 K 2008-01-25 - 05:44 DanielFroidevaux
pdf desc9.pdf r1 manage 35.1 K 2008-01-25 - 05:44 DanielFroidevaux
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pdf detpaper_rejplot_eveto.pdf r1 manage 36.6 K 2008-01-29 - 05:50 DanielFroidevaux
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eps dsovers.eps r1 manage 9.4 K 2008-01-25 - 05:45 DanielFroidevaux
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pdf e10-Rate-Final-r13.pdf r1 manage 9.0 K 2008-02-05 - 06:04 DanielFroidevaux
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pdf e100gev_eta035_37.pdf r1 manage 10.3 K 2008-01-29 - 04:51 DanielFroidevaux
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pdf e100gev_eta105_37.pdf r1 manage 10.6 K 2008-01-29 - 04:52 DanielFroidevaux
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pdf eff_vs_eta.pdf r1 manage 17.7 K 2008-01-29 - 05:36 DanielFroidevaux
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pdf eff_vs_pt.pdf r1 manage 10.8 K 2008-01-29 - 05:37 DanielFroidevaux
eps effi_eta.eps r1 manage 32.8 K 2008-01-29 - 05:21 DanielFroidevaux
pdf effi_eta.pdf r1 manage 20.1 K 2008-01-29 - 05:21 DanielFroidevaux
eps effi_pt.eps r1 manage 16.4 K 2008-01-29 - 05:21 DanielFroidevaux
pdf effi_pt.pdf r1 manage 12.0 K 2008-01-29 - 05:22 DanielFroidevaux
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pdf efficiency_vs_pt.pdf r1 manage 11.6 K 2008-01-29 - 05:51 DanielFroidevaux
eps elecEresol_vs_Energy_b37_e55.eps r1 manage 14.9 K 2008-01-29 - 04:53 DanielFroidevaux
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eps electron-likelihood.eps r1 manage 10.6 K 2008-01-29 - 04:54 DanielFroidevaux
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eps energyloss.eps r1 manage 20.0 K 2008-01-29 - 06:09 DanielFroidevaux
pdf energyloss.pdf r1 manage 13.5 K 2008-01-29 - 06:09 DanielFroidevaux
eps enescan.eps r1 manage 11.4 K 2008-01-28 - 06:48 DanielFroidevaux
pdf enescan.pdf r1 manage 9.7 K 2008-01-28 - 06:49 DanielFroidevaux
eps etamod.eps r1 manage 12.0 K 2008-01-29 - 04:57 DanielFroidevaux