Position resolution and particle identification with the ATLAS EM calorimeter

Colás, J.; Ciaccio, L. Di; Kacimi, M. El; Gaumer, O.; Gouanère, M.; Goujdami, D.; Lafaye, R.; Maner, C. Le; Neukermans, L.; Perrodo, P.; Poggioli, L.; Prieur, D.; Przysiezniak, H.; Sauvage, G.; Wingerter-Seez, I.; Zitoun, R.; Lanni, F.; Ma, H.; Rajagopalan, S.; Rescia, S.; Takai, H.; Belymam, A.; Benchekroun, D.; Hakimi, M.; Hoummada, A.; Barberio, E. L.; Gao, Y.; Lu, Liang; Stroynowski, R.; Aleksa, M.; Hansen, J. B.; Carli, T.; Fassnacht, P.; Gianotti, F.; Hervás, L.; Lampl, W.; Belhorma, B.; Collot, J.; Gallin-Martel, M.-L.; Hostachy, J-Y.; Ledroit-Guillon, F.; Martin, Ph.; Ohlsson-Malek, F.; Saboumazrag, S.; Viret, S.; Leltchouk, M.; Parsons, J. A.; Seman, M.; Barreiro, F.; Peso, J. Del; Labarga, L.; Oliver, C.; Rodier, S.; Barrillon, P.; Benchouk, C.; Djama, F.; Duval, P.Y.; Henry‐Couannier, F.; Hubaut, F.; Monnier, E.; Pralavorio, P.; Sauvage, D.; Serfon, C.; Tisserant, S.; Töth, J.; Bànfi, D.; Carminati, L.; Cavalli, D.; Costa, G.; Delmastro, M.; Fanti, M.; Mandelli, L.; Mazzanti, M.; Tartarelli, G. F.; Kotov, K.; Maslennikov, A. L.; Поспелов, Г. Е.; Tikhonov, Yu. A.; Bourdarios, C.; Taille, C. De La; Fayard, L.; Fournier, D.; Iconomidou-Fayard, L.; Kado, M.; Lechowski, M.; Parrour, G.; Puzo, P.; Rousseau, D.; Sacco, R.; Seguin-Moreau, N.; Serin, L.; Unal, G.; Zerwas, D.; Dekhissi, B.; Derkaoui, J. E.; Kharrim, A. El; Maaroufi, F.; Camard, A.; Lacour, D.; Laforge, B.; Nikolic-Audit, I.; Schwemling, Ph.; Ghazlane, H.; Moursli, R. Cherkaoui El; Fakhr-Eddine, A. Idrissi; Boonekamp, M.; Mansoulié, B.; Meyer, P.; Schwindling, J.; Lund‐Jensen, B.; Tayalati, Y.

doi:10.1016/j.nima.2005.05.041

Cited by 30 publications

(17 citation statements)

References 7 publications

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“…The agreement between the Monte Carlo simulation and the cosmic ray data is very good in Within the statistics available from data, important calorimeter variables used in the electron/photon identification in ATLAS illustrate the good agreement between the Monte Carlo simulation and electromagnetic showers from radiative cosmic events in the calorimeter. These results, as well as the numerous comparisons done with beam test data [2][3][4][5][6], give confidence that robust photon and electron identification will be available for early data at the LHC.…”

Section: Shower Shape Validationmentioning

confidence: 62%

“…As a cross check, the gain was also extracted using LHC beam splash event data which covers the full detector. In both cases, the L1 transverse energy is computed as in (2).…”

Section: Check Of the First Level Tower Trigger Energy Computationmentioning

confidence: 99%

“…Until recently, the expected performance of the LAr calorimeter was extrapolated from intensive testing of a few modules with electron and pion beams from 1998 to 2003 [2][3][4][5][6][7][8][9][10], and in 2004 of a complete ATLAS detector slice [11][12][13]. The 20 months separating the completion of the installation from the first LHC collisions have been used to commission the LAr calorimeter.…”

Section: Introductionmentioning

confidence: 99%

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Readiness of the ATLAS liquid argon calorimeter for LHC collisions

Aad¹,

Abbott²,

Abdallah³

et al. 2010

Eur. Phys. J. C

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The ATLAS liquid argon calorimeter has been operating continuously since August 2006. At this time, only part of the calorimeter was readout, but since the beginning of 2008, all calorimeter cells have been connected to the ATLAS readout system in preparation for LHC collisions. This paper gives an overview of the liquid argon calorimeter performance measured in situ with random triggers, calibration data, cosmic muons, and LHC beam splash events. Results on the detector operation, timing perfore-mail: atlas.secretariat@cern.ch mance, electronics noise, and gain stability are presented. High energy deposits from radiative cosmic muons and beam splash events allow to check the intrinsic constant term of the energy resolution. The uniformity of the electromagnetic barrel calorimeter response along η (averaged over φ) is measured at the percent level using minimum ionizing cosmic muons. Finally, studies of electromagnetic showers from radiative muons have been used to cross-check the Monte Carlo simulation. The performance results obtained using the ATLAS readout, data acquisition, and reconstruction software indicate that the liquid argon calorimeter is well-prepared for collisions at the dawn of the LHC era.

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Section: Shower Shape Validationmentioning

confidence: 62%

“…As a cross check, the gain was also extracted using LHC beam splash event data which covers the full detector. In both cases, the L1 transverse energy is computed as in (2).…”

Section: Check Of the First Level Tower Trigger Energy Computationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Readiness of the ATLAS liquid argon calorimeter for LHC collisions

Aad¹,

Abbott²,

Abdallah³

et al. 2010

Eur. Phys. J. C

Self Cite

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show abstract

“…It has been measured in the barrel [5] and end-cap modules. Figure 1 shows the measured  resolution for a barrel module as function  for both the first and second compartments, compared with the simulation predictions.…”

Section: Position and Angular Resolutionmentioning

confidence: 99%

“…This analysis has been checked on specific testbeam data [5], obtained by inserting some material in the beam line upstream of a bending magnet, to cause the incoming electron to emit hard bremsstrahlung photons. By selecting events with the appropriate kinematics, it was possible to mimick a  0 into to two photons.…”

Section: Photon/neutral Pion Separationmentioning

confidence: 99%

Particle identification with the ATLAS electromagnetic calorimeter

Tisserant

2006

Nuclear Instruments and Methods in Physics Research Section A:

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The design constraints and the target performances of the ATLAS electromagnetic calorimeter are reviewed. The construction and installation status is summarized. Some test-beam results, covering a large part of the final detector, are summarized. Some recent updates concerning the use of the electromagnetic calorimeter for particle identification (/ 0 , e/ and jet/ separation) are summarized.

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Integration of Detectors into a Large Experiment: Examples from ATLAS and CMS

Froidevaux

2020

Particle Physics Reference Library

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The Large Hadron Collider (LHC) is the proton-proton accelerator which began operation in 2010 in the existing LEP tunnel at CERN in Geneva, Switzerland. It represents the next major step in the high-energy frontier beyond the Fermilab Tevatron (proton-antiproton collisions at a centre-of-mass energy of 2 TeV), with its design centre-of-mass energy of 14 TeV and luminosity of 10 34 cm −2 s −1. The high design luminosity is required because of the small cross-sections expected for many of the benchmark processes (Higgs-boson production and decay, new physics scenarios such as supersymmetry, extra dimensions, etc.) used to optimise the design of the general-purpose detectors over a period of 15 years or so. To achieve this luminosity and minimise the impact of simultaneous inelastic collisions occurring at the same time in the detectors (a phenomenon usually called pileup), the LHC beam crossings are 25 ns apart in time, resulting in 23 inelastic interactions per crossing on average at design luminosity. Two general-purpose experiments, ATLAS and CMS, were proposed for operation at the LHC in 1994 [1], and approved for construction in 1995. The experimental challenges undertaken by these two projects of unprecedented size and complexity in the field of high-energy physics, the construction and integration achievements realised over the years 2000-2008, and the expected performance of the commissioned detectors are described in a variety of detailed documents, such as the detector papers [2, 3]. In this chapter, much of the description of the lessons learned based on this huge effort, and of D. Froidevaux () CERN,

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Position resolution and particle identification with the ATLAS EM calorimeter

Cited by 30 publications

References 7 publications

Readiness of the ATLAS liquid argon calorimeter for LHC collisions

Readiness of the ATLAS liquid argon calorimeter for LHC collisions

Particle identification with the ATLAS electromagnetic calorimeter

Integration of Detectors into a Large Experiment: Examples from ATLAS and CMS

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