A Bidimensional Method for Particle Identification with the ALICE TRD

نویسندگان

  • A. Bercuci
  • A. Andronic
  • M. Ivanov
چکیده

One of the main objectives of the Transition Radiation Detector (TRD) at LHC at CERN is to provide electron/pion identification for pt > 1GeV/c. The separation of electrons is based on ionization dE/dx and TR production and detection. We have improved the electron identification by better considering the contributions of ionization and TR production on the dE/dx measurements. The TRD detector design [1] enables up to 30 samples of dE/dx in one module. Due to reconstruction and tracking efficiency a robust estimator for dE/dx has to be introduced. The following effects can affect the dE/dx estimation: missing measurements, cluster sharing between tracks (high multiplicity environment) and drift velocity. The following estimator reflects these requierments: < dE/dx >t= 1/n ∗ ∑ t1 i=t0 wi ∗ dE/dxi, where t0 and t1 are defining slice integration limits of the dE/dxi measurements in one TRD module, n is the number of measurements in the slice and wi are weights reflecting cluster sharing and size. The limits t0 and t1 are 0 respectively 0.66 ∗ ntb for the measurements which contains mainly ionization contributions (dE/dxion) and 0.66 ∗ntb respectively ntb for those having also TR contribution (dE/dxtr). We are introducing here the calibration awareness by ntb = N ∗ vd/ν with N total number of time bins measured, vd the local drift velocity and ν the sampling frequency.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Electron identification performance withALICETRDprototypes

We present the electron/pion identification performance measured with prototypes for ALICE TRD. Measured spectra of energy deposit of pions and electrons as well as their average values are presented and compared to calculations. Various radiators are investigated over the momentum range of 1 to 6 GeV/c. The time signature of TR is exploited in a bidimensional likelihood mothod.

متن کامل

Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm

We study the electron/pion identification performance of the ALICE Transition RaPreprint submitted to Elsevier Science 29 June 2005 diation Detector (TRD) prototypes using a neural network (NN) algorithm. Measurements were carried out for particle momenta from 2 to 6GeV/c. An improvement in pion rejection by about a factor of 3 is obtained with NN compared to standard likelihood methods.

متن کامل

Revision of the ALICE TRD tracking code

A. Bercuci1,3, M. Fasel2, and M. Ivanov1 1GSI, Darmstadt, Germany; 2Technische Universitaet, Darmstadt, Germany; 3On leave from NIPNE, Bucharest, Romania The algorithm for tracking is the backbone of the reconstruction procedure of the TRD detector of the ALICE experiment at LHC at CERN. Its performance has immediate influence on other reconstruction tasks such as calibration, alignment and par...

متن کامل

First beam test of the Frankfurt prototype for the CBM TRD

As one of the key components in the CBM experiment, the Transition Radiation Detector (TRD) will play a significant role in the particle identification. A fast detector with double sided readout chambers[1] and a ALICE type of detector with both drift and amplification regions have been designed for the circumstance of high particle rates. We propose to build a fast detector with an amplificati...

متن کامل

Beam tests with an ALICE TRD supermodule

The Transition Radiation Detector (TRD) of the ALICE experiment at LHC is designed to provide electron/pion identification and tracking of all charged particles [1]. The TRD will supplement the TPC electron/pion identification by a pion rejection factor of the order of 100 at momenta above 1 GeV/c, allowing precision measurements of quarkonia. Sophisticated on-detector electronics [2] is design...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008