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Register a new userCharged Pion Energy Reconstruction in the ATLAS Barrel Calorimeter
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M.Bosman
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The intrinsic performance of the ATLAS barrel and extended barrel calorimeters for the measurement of charged pions is presented. Pion energy scans (E = 20, 50, 200, 400 and 1000 GeV) at two pseudo-rapidity points ($eta$ = 0.3 and 1.3) and pseudorapidity scans ($-0.2 < eta < 1.8$) with pions of constant transverse energy ($E_T = 20$ and 50 GeV) are analysed. A simple approach, that accounts in first order for non-compensation and dead material effects, is used for the pion energy reconstruction. The intrinsic performances of the calorimeter are studied: resolution, linearity, effect of dead material, tails in the energy distribution. The effect of electronic noise, cell energy cuts and restricted cone size are investigated.
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Hadron energy reconstruction for the Atlas barrel prototype combined calorimeter, consisting of the lead-liquid argon electromagnetic part and the iron-scintillator hadronic part, in the framework of the non-parametrical method has been fulfilled. This method uses only the known e/h ratios and the electron calibration constants and does not require the determination of any parameters by a minimization technique and can be used for the fast energy reconstruction in the first level trigger. The obtained reconstruction of the mean values of energies is within $pm 1%$ and the fractional energy resolution is $[(58pm3)% sqrt{GeV}/sqrt{E}+(2.5pm0.3)%]oplus (1.7pm0.2) GeV/E$. The obtained value of the e/h ratio for electromagnetic compartment of the combined calorimeter is $1.74pm0.04$ and agrees with the prediction that $e/h > 1.7$ for this electromagnetic calorimeter. The results of the study of the longitudinal hadronic shower development are presented. The data have been taken in the H8 beam line of the CERN SPS using pions of 10 -- 300 GeV.
The e/$pi$ ratio for the Barrel Combined Calorimeter Prototype, composed from electromagnetic LAr calorimeter and hadronic Tile calorimter was investigated. Response of Combined Calorimeter on pions and electrons in the energy region 20 - 300 GeV was studied. Found $e/h = 1.37pm0.01pm0.02$ is in good agreement with results from previous Combined Calorimeter test but has more precisions.
The detailed experimental information about the electron and pion responses, the electron energy resolution and the e/h ratio as a function of incident energy E, impact point Z and incidence angle $Theta$ of the Module-0 of the iron-scintillator barrel hadron calorimeter with the longitudinal tile configuration is presented. The results are based on the electron and pion beams data for E = 10, 20, 60, 80, 100 and 180 GeV at $eta$ = -0.25 and -0.55, which have been obtained during the test beam period in 1996. The results are compared with the existing experimental data of TILECAL 1m prototype modules, various iron-scintillator calorimeters and with some Monte Carlo calculations.
The new simple method of the energy reconstruction for a combined calorimeter, which we called the e/h method, is suggested. It uses only the known e/h ratios and the electron calibration constants and does not require the determination of any parameters by a minimization technique. The method has been tested on the basis of the 1996 test beam data of the combined calorimeter and demonstrated the correctness of the reconstruction of the mean values of energies. The obtained fractional energy resolution is $[(58pm3)%/sqrt{E}+(2.5pm0.3)%]oplus (1.7pm0.2)/E$. This algorithm can be used for the fast energy reconstruction in the first level trigger.
We report on the performance of a prototype CMS Hadron Barrel Calorimeter (HCAL) module in a test beam. The prototype sampling calorimeter used copper absorber plates and scintillator tiles with wavelength shifting fibers for readout. Placing a lead tungstate crystal electromagnetic calorimeter in front of HCAL affects the linearity and energy resolution of the combined system to hadrons. The data are used to optimize the choice of total absorber depth, sampling frequency, and longitudinal readout segmentation.
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