Abstract
Basic characteristics of a set of calorimeter triggers for b-events selection (all modes of B-mesons decay) are investigated for fixed target experiments on 3 TeV proton beam using Monte-Carlo simulation data. Characteristics of a neural network trigger and simple threshold trigger witn modified decision functions are shown to remarkably surpass characteristics of conventional triggers. Background rejection factor 10-200 at efficiency 0.8-0.2 may be achieved with the proposed version of a neural network trigger operating on the forward calorimeter data (without using data from other detectors of the installation). This background rejection factor is 1.5-5 times higher compared to results published elsewhere. 20 refs., 15 figs.
Budagov, Yu A;
Pal`chik, V V;
Sever`yanov, V M;
Shigaev, V N;
[1]
Poroshin, N O
[2]
- Joint Inst. for Nuclear Research, Dubna (USSR). Lab. of Computing Techniques and Automation
- Moskovskij Inzhenerno-Fizicheskij Inst., Moscow (Russian Federation)
Citation Formats
Budagov, Yu A, Pal`chik, V V, Sever`yanov, V M, Shigaev, V N, and Poroshin, N O.
Assessment of characteristics of threshhold and neural network triggers for b-quarks events selection using simulation data for the forward calorimeter of multiparticle spectrometer installation on UNK 3 TeV proton beam; Kharakteristiki porogovykh i nejrosetevogo triggerov otbora sobytij s b-kvarkami na osnove model`nykh dannykh dlya perednego kalorimetra ustanovki `Mnogochastichnyj spektrometr` na puchke UNK s ehnergiej 3 TehV.
JINR: N. p.,
1993.
Web.
Budagov, Yu A, Pal`chik, V V, Sever`yanov, V M, Shigaev, V N, & Poroshin, N O.
Assessment of characteristics of threshhold and neural network triggers for b-quarks events selection using simulation data for the forward calorimeter of multiparticle spectrometer installation on UNK 3 TeV proton beam; Kharakteristiki porogovykh i nejrosetevogo triggerov otbora sobytij s b-kvarkami na osnove model`nykh dannykh dlya perednego kalorimetra ustanovki `Mnogochastichnyj spektrometr` na puchke UNK s ehnergiej 3 TehV.
JINR.
Budagov, Yu A, Pal`chik, V V, Sever`yanov, V M, Shigaev, V N, and Poroshin, N O.
1993.
"Assessment of characteristics of threshhold and neural network triggers for b-quarks events selection using simulation data for the forward calorimeter of multiparticle spectrometer installation on UNK 3 TeV proton beam; Kharakteristiki porogovykh i nejrosetevogo triggerov otbora sobytij s b-kvarkami na osnove model`nykh dannykh dlya perednego kalorimetra ustanovki `Mnogochastichnyj spektrometr` na puchke UNK s ehnergiej 3 TehV."
JINR.
@misc{etde_10138861,
title = {Assessment of characteristics of threshhold and neural network triggers for b-quarks events selection using simulation data for the forward calorimeter of multiparticle spectrometer installation on UNK 3 TeV proton beam; Kharakteristiki porogovykh i nejrosetevogo triggerov otbora sobytij s b-kvarkami na osnove model`nykh dannykh dlya perednego kalorimetra ustanovki `Mnogochastichnyj spektrometr` na puchke UNK s ehnergiej 3 TehV}
author = {Budagov, Yu A, Pal`chik, V V, Sever`yanov, V M, Shigaev, V N, and Poroshin, N O}
abstractNote = {Basic characteristics of a set of calorimeter triggers for b-events selection (all modes of B-mesons decay) are investigated for fixed target experiments on 3 TeV proton beam using Monte-Carlo simulation data. Characteristics of a neural network trigger and simple threshold trigger witn modified decision functions are shown to remarkably surpass characteristics of conventional triggers. Background rejection factor 10-200 at efficiency 0.8-0.2 may be achieved with the proposed version of a neural network trigger operating on the forward calorimeter data (without using data from other detectors of the installation). This background rejection factor is 1.5-5 times higher compared to results published elsewhere. 20 refs., 15 figs.}
place = {JINR}
year = {1993}
month = {Dec}
}
title = {Assessment of characteristics of threshhold and neural network triggers for b-quarks events selection using simulation data for the forward calorimeter of multiparticle spectrometer installation on UNK 3 TeV proton beam; Kharakteristiki porogovykh i nejrosetevogo triggerov otbora sobytij s b-kvarkami na osnove model`nykh dannykh dlya perednego kalorimetra ustanovki `Mnogochastichnyj spektrometr` na puchke UNK s ehnergiej 3 TehV}
author = {Budagov, Yu A, Pal`chik, V V, Sever`yanov, V M, Shigaev, V N, and Poroshin, N O}
abstractNote = {Basic characteristics of a set of calorimeter triggers for b-events selection (all modes of B-mesons decay) are investigated for fixed target experiments on 3 TeV proton beam using Monte-Carlo simulation data. Characteristics of a neural network trigger and simple threshold trigger witn modified decision functions are shown to remarkably surpass characteristics of conventional triggers. Background rejection factor 10-200 at efficiency 0.8-0.2 may be achieved with the proposed version of a neural network trigger operating on the forward calorimeter data (without using data from other detectors of the installation). This background rejection factor is 1.5-5 times higher compared to results published elsewhere. 20 refs., 15 figs.}
place = {JINR}
year = {1993}
month = {Dec}
}