Energy loss correction for a crystal calorimeter

He, Miao; Wang, Yifang; Jian-Ming, Bian; Cao, G. F.; Deng, Z. Y.; Kang-Lin, He; Huang, Bin; Ji, Xiangyu; Li, Gang; Li, Haibo; Li, Weidong; Liu, Chunxiu; Liu, Huaimin; Qiu-Mei, Ma; Ma, Xingxiao; Mao, Y.; Ze-Pu, Mao; Mo, X. H.; Jin-Fa, Qiu; Sun, Shengsi; Yong-Zhao, Sun; Wang, Jike; Wang, Liangliang; Shuo-Pin, Wen; Ling-Hui, Wu; Xie, Yeming; Yang, Ming; Zhou, You; Yu, Guowei; Yuan, C. Z.; Yuan, Y.; Shi-Lei, Zang; Zhang, Changchun; Zhang, Jianyong; Zhang, Ling; Zhang, Xueyao; Zhang, Yao; Zheng, Z. P.; Zhu, Yu Cheng; Zou, J. H.

doi:10.1088/1674-1137/32/4/006

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Energy measurements by the EMC only for such photons will not be very accurate. Monte Carlo simulations show that the energy losses of photons in the TOF counters in principle can be added to the EMC shower energies to partially compensate for the energy losses [43]. Including the energies deposited in 3 neighboring sectors of the two layer TOF counters in front of a 5 × 5 matrix of CsI crystals, the width of the total energy peak for high energy photons becomes narrower, as shown in Fig.…”

Section: Energy Corrections For Materials In Front Of Emcmentioning

confidence: 99%

Design and construction of the BESIII detector

Ablikim¹,

An²,

Bai³

et al. 2010

Nuclear Instruments and Methods in Physics Research Section A:

1,081

509

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This paper will discuss the design and construction of BESIII [1], which is designed to study physics in the τ-charm energy region utilizing the new high luminosity BEPCII double ring e + ecollider [2]. The expected performance will be given based on Monte Carlo simulations and results of cosmic ray and beam tests. In BESIII, tracking and momentum measurements for charged particles are made by a cylindrical multilayer drift chamber in a 1 T superconducting solenoid. Charged particles are identified with a time-of-flight system based on plastic scintillators in conjunction with dE/dx (energy loss per unit pathlength) measurements in the drift chamber. Energies of electromagnetic showers are measured by a CsI(Tl) crystal calorimeter located inside the solenoid magnet. Muons are identified by arrays of resistive plate chambers in the steel magnetic flux return. The level 1 trigger system, Data Acquisition system and the event filter system based on networked computers will also be described.

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Section: Energy Corrections For Materials In Front Of Emcmentioning

confidence: 99%

Design and construction of the BESIII detector

Ablikim¹,

An²,

Bai³

et al. 2010

Nuclear Instruments and Methods in Physics Research Section A:

1,081

509

View full text Add to dashboard Cite

show abstract

“…Energy deposited in the nearby TOF counters is included in the photon energy measurement to improve the reconstruction efficiency and energy resolution [13]. Photon candidates in the barrel region (j cos θj < 0.8, where θ is the polar angle of the shower) of the EMC must have at least 25 MeV total energy deposition; those in the end cap region (0.84 < j cos θj < 0.92) must have at least 50 MeV total energy deposition.…”

Section: Event Selectionmentioning

confidence: 99%

Amplitude analysis of theD+→KS0π+π
Ablikim¹,
Ачасов²,
Ai³
et al. 2014
Phys. Rev. D
18
0
4
0
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We perform an analysis of the D þ → K 0 S π þ π 0 Dalitz plot using a data set of 2.92 fb −1 of e þ e − collisions at the ψð3770Þ mass accumulated by the BESIII experiment, in which 166694 candidate events are selected with a background of 15.1%. The Dalitz plot is found to be well represented by a combination of six quasitwo-body decay channels [K 0 S ρ þ , K 0 S ρð1450Þ þ ,K Ã0 π þ ,K 0 ð1430Þ 0 π þ ,Kð1680Þ 0 π þ ,κ 0 π þ ] plus a small nonresonant component. Using the fit fractions from this analysis, partial branching ratios are updated with higher precision than previous measurements.

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“…Over the last decades, traditional tracking strategy for the BESIII MDC system has been successfully working as the official reconstruction algorithms, including the tracking finding algorithms via PATTSF [3,4] and HOUGH [5], track parameters estimation based on Kalman Fitter and Rugge Kutta methods. This strategy works well, but there is still a decent room for improvement, especially for tracks with low momentum, high noise level as well as tracks from long lived particles (secondary vertex).…”

Section: Introductionmentioning

confidence: 99%

BESIII track reconstruction algorithm based on machine learning

Jia,

Qin,

et al. 2024

EPJ Web of Conf.

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Track reconstruction is one of the most important and challenging tasks in the offline data processing of collider experiments. For the BESIII detector working in the tau-charm energy region, plenty of efforts were made previously to improve the tracking performance with traditional methods, such as template matching and Hough transform etc. However, for difficult tracking tasks, such as the tracking of low momentum tracks, tracks from secondary vertices and tracks with high noise level, there is still large room for improvement. In this contribution, we demonstrate a novel tracking algorithm based on machine learning method. In this method, a hit pattern map representing the connectivity between drift cells is established using an enormous MC sample, based on which we design an optimal method of graph construction, then an edgeclassifying Graph Neural Network is trained to distinguish the hit-on-track from noise hits. Finally, a clustering method based on DBSCAN and RANSAC is developed to cluster hits from multiple tracks. Track fitting algorithm based on GENFIT2 is also studied to obtain the track parameters, where deterministic annealing filter are implemented to deal with ambiguities and potential noises. The preliminary results on BESIII MC sample presents promising performance, showing potential to apply this method to other trackers based on drift chamber as well, such as the CEPC and STCF detectors under pre-study.

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Energy loss correction for a crystal calorimeter

Cited by 5 publications

References 2 publications

Design and construction of the BESIII detector

Design and construction of the BESIII detector

Amplitude analysis of theD+→KS0π+π
Ablikim¹,
Ачасов²,
Ai³
et al. 2014
Phys. Rev. D
18
0
4
0
View full text Add to dashboard Cite

BESIII track reconstruction algorithm based on machine learning

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Energy loss correction for a crystal calorimeter

Cited by 5 publications

References 2 publications

Design and construction of the BESIII detector

Design and construction of the BESIII detector

Amplitude analysis of theD+→KS0π+πAblikim1, Ачасов2, Ai3 et al. 2014Phys. Rev. D18040View full textAdd to dashboardCite

BESIII track reconstruction algorithm based on machine learning

Contact Info

Product

Resources

About

Amplitude analysis of theD+→KS0π+π
Ablikim¹,
Ачасов²,
Ai³
et al. 2014
Phys. Rev. D
18
0
4
0
View full text Add to dashboard Cite