2010
DOI: 10.1140/epjc/s10052-010-1403-6
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Drift Time Measurement in the ATLAS Liquid Argon Electromagnetic Calorimeter using Cosmic Muons

Abstract: The ionization signals in the liquid argon of the ATLAS electromagnetic calorimeter are studied in detail using cosmic muons. In particular, the drift time of the ionization electrons is measured and used to assess the intrinsic uniformity of the calorimeter gaps and estimate its impact on the constant term of the energy resolution. The drift times of electrons in the cells of the second layer of the calorimeter are uniform at the level of 1.3% in the barrel and 2.8% in the endcaps. This leads to an estimated … Show more

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Cited by 51 publications
(6 citation statements)
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“…These improvements lead to a significant rate reduction of the L1 jet and L1 E miss T triggers. The bunch-by-bunch pedestal subtraction compensates for the increased trigger rates at the beginning of a bunch train caused by the interplay of in-time and out-of-time pile-up coupled with the LAr pulse shape [22], and linearises the L1 trigger rate as a function of the instantaneous luminosity, as shown in Figure 3 for the L1 E miss T trigger. The autocorrelation FIR filters substantially improve the bunch-crossing identification (BCID) efficiencies, in particular for low energy deposits.…”
Section: Level-1 Calorimeter Triggermentioning
confidence: 99%
“…These improvements lead to a significant rate reduction of the L1 jet and L1 E miss T triggers. The bunch-by-bunch pedestal subtraction compensates for the increased trigger rates at the beginning of a bunch train caused by the interplay of in-time and out-of-time pile-up coupled with the LAr pulse shape [22], and linearises the L1 trigger rate as a function of the instantaneous luminosity, as shown in Figure 3 for the L1 E miss T trigger. The autocorrelation FIR filters substantially improve the bunch-crossing identification (BCID) efficiencies, in particular for low energy deposits.…”
Section: Level-1 Calorimeter Triggermentioning
confidence: 99%
“…Tests using both cosmic rays [172] and initial collisions (Figure 4.6) indicate that the predicted pulse shapes match the measured pulse shapes to a very high precision. In Chapter 6 it will be shown that this feature of the LAr calorimeter must be taken into account when defining the energy calibration for hadronic jets.…”
Section: Barrel Geometrymentioning
confidence: 65%
“…The error bars show the statistical uncertainties from the track-counting measurements Fig. 17 Efficiencies for data recorded during part of the 8b4e collision period as a function of the position of the bunch within the 8b4e train, numbering the first bunch as position zero ing point were seen for the datasets from other data-taking years within Run 2. Given these observations, no attempt was made to use the Z -based efficiency measurements to correct the track-counting luminosity as a function of time during each year.…”
Section: Performance Of Track-counting Algorithmsmentioning
confidence: 95%
“…The event-by-event 'energy flow' through the cells of the LAr calorimeters, as read out by the standard LAr pulseshaping electronics, provides another potential luminosity measurement. However, the long LAr drift time and bipolar pulse shaping [17] wash out any usable signal during running with bunch trains. Only the EMEC and FCal cells have short enough drift times to yield useful measurements in runs with isolated bunches separated by at least 500 ns.…”
Section: Calorimeter-based Algorithmsmentioning
confidence: 99%