Performance of the electronic readout of the ATLAS liquid argon calorimeters

Abreu, H.; Aharrouche, M.; Aleksa, M.; Bella, L. Aperio; Archambault, J. P.; Arfaoui, S.; Arnaez, O.; Augé, E.; Aurousseau, M.; Bahinipati, S.; Bán, J.; Bànfi, D.; Barajas, Andrés; Barillari, T.; Bazan, A.; Bellachia, F.; Beloborodova, O.; Benchekroun, D.; Benslama, K.; Berger, N.; Berghaus, F.; Bernat, P.; Bernier, R.; Besson, N.; Binet, S.; Blanchard, J.-B.; Blondel, A.; Bobrovnikov, Viktor; Bohner, O; Boonekamp, M.; Bordoni, S.; Bouchel, M.; Bourdarios, C.; Bozzone, A; Braun, H. M.; Bretón, D.; Brettel, H.; Brooijmans, G.; Caputo, R.; Carli, T.; Carminati, L.; Caughron, S.; Cavalleri, P.; Cavalli, D.; Chareyre, E.; Chase, R. L.; Chekulaev, S. V.; Chen, H; Cheplakov, A.; Chiche, R.; Citterio, M.; Cojocaru, C. D.; Colás, J.; Collard, C.; Collot, J.; Consonni, M.; Cooke, M.; Copic, K.; Costa, G.; Courneyea, L.; Cuisy, D.; Cwienk, W.; Damazio, D. Oliveira; Dannheim, D.; Cecco, S. De; Broïse, Xavier de la; Taille, C. De La; Vivie, J B de; Debennerot, B; Delagnes, É.; Delmastro, M.; Derue, F.; Dhaliwal, S.; Ciaccio, L. Di; Doan, O; Dudziak, F.; Duflot, L.; Dumont-Dayot, N.; Dzahini, D.; Elles, S.; Ertel, E.; Escalier, M.; Etienvre, A. I.; Falleau, I.; Fanti, M.; Farooque, T.; Favre, Patrick; Fayard, L.; Fent, J.; Ferencei, J.; Fischer, A.; Fournier, D.; Fournier, L.; Fras, M.; Froeschl, R.; Gadfort, T.; Martel, M L Gallin; Gibson, A.; Gillberg, D.; Gingrich, D. M.; Goepfert, T.; Goodson, J. J.; Gouighri, M.; Goy, C.; Grassi, V.; Gray, J. A.; Guillemin, T.; Guo, B.; Habring, J; Handel, C.; Heelan, L.; Heintz, H; Helary, L.; Henrot-Versillé, S.; Hervás, L.; Hobbs, J.; Hoffman, J.; Hostachy, J-Y.; Hoummada, A.; Hřivnáć, J.; Hrynʼova, T.; Hubaut, F.; Huber, J.; Iconomidou-Fayard, L.; Iengo, P.; Imbert, Pierre; Ishmukhametov, R.; Jantsch, A.; Javadov, N.; Jézéquel, S.; Belenguer, M. Jimenez; Ju, X.; Kado, M.; Kalinowski, A.; Kar, D.; Karev, A.; Katsanos, I.; Kazarinov, M. Y.; Kerschen, N.; Kierstead, J.A.; Kim, M S; Kiryunin, A. E.; Kladiva, E.; Knecht, N. S.; Kobel, M.; Koletsou, I.; König, S.; Krieger, P.; Kukhtin, V.; Kuna, M.; Kurchaninov, L. L.; Labbé, J.; Lacour, D.; Ladygin, E.; Lafaye, R.; Laforge, B.; LaMarra, D.; Lampl, W.; Lanni, F.; Laplace, S.; Laskus, H.; Coguie, A. Le; Dortz, O. Le; Maner, C. Le; Lechowski, M.; Lee, S C; Lefebvre, M.; Leonhardt, K.; Lethiec, L; Levêque, J.; Liang, Z.; Liu, CH; Liu, T; Liu, Y; Loch, P.; Lu, J.; Ma, H.; Mader, W. F.; Majewski, S.; Makovec, N.; Makowiecki, D.; Mandelli, L.; Mangeard, P. S.; Mansoulié, B.; Marchand, J. F.; Marchiori, G.; Martín, David; Martin-Chassard, Gisèle; Latour, B. Martin Dit; Marzin, A.; Maslennikov, A. L.; Massol, N.; Matricon, P.; Maximov, D. A.; Mazzanti, M.; McCarthy, T. G.; McPherson, R. A.; Menke, S.; Meyer, J.; Ming, Y.; Monnier, E.; Mooshofer, P.; Neganov, A. B.; Niedercorn, F.; Nikolic-Audit, I.; Nugent, I. M.; Oakham, Gerald; Oberlack, H.; Ocariz, J.; Odier, J.; Oram, C. J.; Орлов, И.; Orr, R. S.; Parsons, J. A.; Peleganchuk, S. V.; Penson, A.; Perini, L.; Perrodo, P.; Perrot, G.; Perus, A.; Petit, E.; Pisarev, I. L.; Plamondon, M.; Poffenberger, P.; Poggioli, L.; Pospelov, G. E.; Pralavorio, P.; Prast, J.; Prudent, X.; Przysiezniak, H.; Puzo, P.; Quentin, M; Radeka, V.; Rajagopalan, S.; Rauter, E.; Reimann, O.; Rescia, S.; Resende, B.; Richer, J.P.; Ridel, M.; Rios, R. R.; Roos, L.; Rosenbaum, G. A.; Rosenzweig, H; Rossetto, O.; Roudil, W; Rousseau, D.; Ruan, X.; Rudert, A.; Rusakovich, N. A.; Rusquart, P.; Rutherfoord, J. P.; Sauvage, G.; Savine, A. Y.; Schaarschmidt, J.; Schacht, P.; Schaffer, A. C.; Schram, M.; Schwemling, Ph.; Moreau, N. Seguin; Seifert, F.; Serin, L.; Seuster, R.; Shalyugin, A.; Shupe, M. A.; Simion, S.; Sinervo, P.; Sippach, W.; Skovpen, K.; Sliwa, R.; Soukharev, A. M.; Spanò, F.; Stavina, P.; Straessner, A.; Stríženec, P.; Stroynowski, R.; Talyshev, A. A.; Tapprogge, S.; Tarrade, F.; Tartarelli, G. F.; Teuscher, R. J.; Tikhonov, Yu. A.; Tocut, V.; Tompkins, D.; Thompson, P. D.; Tisserant, S.; Todorov, T.; Tomasz, F.; Trincaz-Duvoid, S.; Thi, Nguyen; Trochet, S.; Trocmé, B.; Tschann-Grimm, K.; Tsionou, D.; Ueno, R.; Unal, G.; Urbaniec, D.; Usov, Yu. A.; Voss, K.; Veillet, J. J.; Vincter, M. G.; Vogt, S.; Weng, Z.; Whalen, K.; Wicek, F.; Wilkens, H. G.; Wingerter-Seez, I.; Wulf, E.; Yang, Zhe; Ye, J; Li, Yuan; Yurkewicz, A.; Zarzhitsky, P.; Zerwas, D.; Zhang, H; Zhang, L; Zhou, Na; Zimmer, John P.; Zitoun, R.; Živković, L.

doi:10.1088/1748-0221/5/09/p09003

Cited by 38 publications

(31 citation statements)

References 21 publications

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“…The hadronic endcap calorimeter (1.5 < |η| < 3.2) uses copper absorbers and LAr, while in the forward (3.1 < |η| < 4.9) region LAr, copper and tungsten are used. The LAr calorimeter read-out [6], with a pulse length between 60 and 600 ns, is sensitive to signals from the preceding 24 bunch crossings. It uses bipolar shaping with positive and negative output, which ensures that the signal induced by out-of-time pile-up averages to zero.…”

Section: Atlas Detectormentioning

confidence: 99%

“…To correct for the linear increase of p PU T with the total number of pile-up tracks per event (n PU trk ), p PU T is divided by (k · n PU trk ) with the parameter k set to 0.01 [1]. 6 The variable R 0 pT is defined as the scalar p T sum of the tracks that are associated with the jet and originate from the hard-scatter vertex divided by the fully calibrated jet p T , which includes pile-up subtraction:…”

Section: Jet Vertex Taggermentioning

confidence: 99%

See 1 more Smart Citation

Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector

Aaboud¹,

Aad²,

Abbott³

et al. 2017

Eur. Phys. J. C

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The rejection of forward jets originating from additional proton-proton interactions (pile-up) is crucial for a variety of physics analyses at the LHC, including Standard Model measurements and searches for physics beyond the Standard Model. The identification of such jets is challenging due to the lack of track and vertex information in the pseudorapidity range |η| > 2.5. This paper presents a novel strategy for forward pile-up jet tagging that exploits jet shapes and topological jet correlations in pile-up interactions. Measurements of the per-jet tagging efficiency are presented using a data set of 3.2 fb −1 of proton-proton collisions at a centre-of-mass energy of 13 TeV collected with the ATLAS detector. The fraction of pile-up jets rejected in the range 2.5 < |η| < 4.5 is estimated in simulated events with an average of 22 interactions per bunch-crossing. It increases with jet transverse momentum and, for jets with transverse momentum between 20 and 50 GeV, it ranges between 49% and 67% with an efficiency of 85% for selecting hard-scatter jets. A case study is performed in Higgs boson production via the vector-boson fusion process, showing that these techniques mitigate the background growth due to additional proton-proton interactions, thus enhancing the reach for such signatures.

show abstract

Section: Atlas Detectormentioning

confidence: 99%

Section: Jet Vertex Taggermentioning

confidence: 99%

Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector

Aaboud¹,

Aad²,

Abbott³

et al. 2017

Eur. Phys. J. C

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show abstract

“…1. The input is a small current signal s(t) from the detector cell that has a triangular waveform with a sharp rising edge and a long-drawn-out falling edge of about 450 ns [7] as sketched in Fig. 2.…”

Section: Overview Of Estimation Methodsmentioning

confidence: 99%

“…The digitized samples g(n) are transmitted to the digital signal processor (DSP) at the backend for amplitude estimation, in which either the LOF or Wiener filter can be employed. The CR-RC 2 shaper has an s-domain transfer function of (1) with time constants 0 = 40 ns and = 13 ns [7].…”

Section: Overview Of Estimation Methodsmentioning

confidence: 99%

On the performance of linear optimal filter and Wiener filter for signal detection in liquid ionization calorimeters

Gong

Chiu

2014

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

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The performance of the linear optimal filter (LOF) is compared to the newly reported Wiener filter for signal detection in ATLAS liquid ionization calorimeters. The equivalence between the two methods is established, and further related to the conventional notion of (whitening + matched) filter configuration for optimal signal detection in presence of colored noise. Without arrival time spread, the LOF and Wiener results converge to each other, regardless of the SNR of the calorimeter readout path. In addition, the LOF performance displays a dependence on the pulse arrival time delay-manifested as a nonzero mean and an elevated standard deviation of the amplitude estimation error-due to the truncation of high-order terms in deriving the linear filter. In contrast, once trained with the exact signal statistics of the calorimeter, i.e., the arrival time spread and noise structure, the Wiener filter can always adapt to an optimal, unbiased solution using the same linear FIR filter structure. However, when such prior knowledge is removed, the Wiener outcomes nearly coincide with those of the LOF. All the results are obtained via Monte Carlo simulations of a readout signal-processing chain assuming identical electrical parameters of the ATLAS liquid argon calorimeter system with a sample rate of 80 MSPS. The equivalence between the two approaches is also examined and confirmed using a Gaussian pulse shape and an invertible pulse-shaping function without any finite zeroes on the j -axis.

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“…Quality control tests during production of the electronics required the clock jitter on the LAr readout boards to be less than 20 ps, with typical values of 10 ps [26]. Calibration tests of the overall electronic readout performed in situ in the ATLAS cavern show a timing resolution of %70 ps [27], limited not by the readout but by the jitter of the calibration pulse injection system. Test-beam measurements [28] of production EM barrel calorimeter modules demonstrated a timing resolution of %100 ps in response to high energy electrons.…”

Section: B Timing Resolutionmentioning

confidence: 99%

Search for nonpointing photons in the diphoton andETmissfinal state ins=7 TeVproton-p

Aad¹,

Abajyan²,

Abbott³

et al. 2013

Phys. Rev. D

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A search has been performed for photons originating in the decay of a neutral long-lived particle, exploiting the capabilities of the ATLAS electromagnetic calorimeter to make precise measurements of the flight direction of photons, as well as the calorimeter's excellent time resolution. The search has been made in the diphoton plus missing transverse energy final state, using the full data sample of 4:8 fb À1 of 7 TeV proton-proton collisions collected in 2011 with the ATLAS detector at the LHC. No excess is observed above the background expected from Standard Model processes. The results are used to set exclusion limits in the context of gauge mediated supersymmetry breaking models, with the lightest neutralino being the next-to-lightest supersymmetric particle and decaying with a lifetime in excess of 0.25 ns into a photon and a gravitino.

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Performance of the electronic readout of the ATLAS liquid argon calorimeters

Cited by 38 publications

References 21 publications

Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector

Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector

On the performance of linear optimal filter and Wiener filter for signal detection in liquid ionization calorimeters

Search for nonpointing photons in the diphoton andETmissfinal state ins=7 TeVproton-p

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