Photon discrimination simulation with the PCA method

ZHOU Jing; LIU Zhi-Yi; MENG Qiu-Ying; ZHOU Shu-Hua

doi:10.1088/1674-1137/34/10/015

Chinese Physics C> 2010, Vol. 34> Issue(10) : 1632-1635 DOI: 10.1088/1674-1137/34/10/015

Photon discrimination simulation with the PCA method

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Abstract：
The shower shape of n, n, p, p, K⁺, π⁺ and photons, generated by JPCIAE code for 5.5 TeV/A ²⁰⁸Pb+²⁰⁸Pb collisions, incident on the ALICE photon spectrometer (PHOS), is analyzed with the principal component analysis (PCA) method. The efficiency dependence of purity for the photon discrimination is simulated for the deposited energy ranges 0.5—2 GeV, 2—10 GeV, 10—50 GeV and 50—100 GeV. The result shows that in the energy range of 0.5 to 100 GeV, the efficiency of the photon identification can reach 90% with purity of 90%.

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ZHOU Jing, LIU Zhi-Yi, MENG Qiu-Ying and ZHOU Shu-Hua. Photon discrimination simulation with the PCA method[J]. Chinese Physics C, 2010, 34(10): 1632-1635. doi: 10.1088/1674-1137/34/10/015

ZHOU Jing, LIU Zhi-Yi, MENG Qiu-Ying and ZHOU Shu-Hua. Photon discrimination simulation with the PCA method[J]. Chinese Physics C, 2010, 34(10): 1632-1635. doi: 10.1088/1674-1137/34/10/015 shu

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Received: 2009-11-02
Revised: 2010-03-17

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

Photon discrimination simulation with the PCA method

Corresponding author: ZHOU Jing,

Received Date: 2009-11-02

Accepted Date: 2010-03-17

Available Online: 2010-10-05

Abstract: The shower shape of n, n, p, p, K⁺, π⁺ and photons, generated by JPCIAE code for 5.5 TeV/A ²⁰⁸Pb+²⁰⁸Pb collisions, incident on the ALICE photon spectrometer (PHOS), is analyzed with the principal component analysis (PCA) method. The efficiency dependence of purity for the photon discrimination is simulated for the deposited energy ranges 0.5—2 GeV, 2—10 GeV, 10—50 GeV and 50—100 GeV. The result shows that in the energy range of 0.5 to 100 GeV, the efficiency of the photon identification can reach 90% with purity of 90%.

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Photon discrimination simulation with the PCA method

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通讯作者: 陈斌, bchen63@163.com

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