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NEURAL NETWORKS AND SEARCH FOR THE HIGGS PARTICLE AT THE CERN LARGE HADRON COLLIDER

机译：神经网络和CERN大型强子对撞机HIGGS粒子的搜索

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We study the possibility of employing soft computing to discriminate the Higgs signal from background at the future Large Hadron Collider (LHC) to be built at CERN. We explore the Higgs mass range 150GeV ≤ M_H ≤ 200GeV with a feed forward neural network (NN) trained by backpropagation algorithm.

机译：我们研究了在未来的欧洲核子研究组织（CERN）建造的大型强子对撞机（LHC）中使用软计算来区分希格斯信号与背景的可能性。我们使用由反向传播算法训练的前馈神经网络（NN）探索希格斯质量范围150GeV≤M_H≤200GeV。

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来源
《New trends in fuzzy logic II》|1997年|180-187|共8页
会议地点 Bari(IT)
作者
T. MAGGIPINTO; G. NARDULLI;
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作者单位

Dipartimento di Fisica dell'Universita di Bari and Istituto Nazionale di Fisica Nucleare, Sezione di Bari via Amendola 173, 70126 Bari, Italy;

Dipartimento di Fisica dell'Universita di Bari and Istituto Nazionale di Fisica Nucleare, Sezione di Bari via Amendola 173, 70126 Bari, Italy;

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正文语种 eng
中图分类模糊数学;
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1. Neural Networks Search for Charged Higgs Boson in Two Doublet Higgs Model at the Hadrons Colliders [J] . Nady Bakhet, Maxim Yu Khlopov, Tarek Hussein Open Journal of Microphysics . 2016,第1期

机译：神经网络在强子对撞机的两个双重态希格斯模型中搜索带电的希格斯玻色子
2. Role of net baryon density on rapidity width of identified particles from the lowest energies available at the CERN Super Proton Synchrotron to those at the BNL Relativistic Heavy Ion Collider and at the CERN Large Hadron Collider [J] . Nur Hussain, Buddhadeb Bhattacharjee Physical Review C . 2017,第期

机译：净胸浓度对来自Cern Super Proton Synchrotron的最低能量的鉴定粒子的作用，以BNL相对论的重离子撞机和Cern大强子撞机的最低能量
3. Role of net baryon density on rapidity width of identified particles from the lowest energies available at the CERN Super Proton Synchrotron to those at the BNL Relativistic Heavy Ion Collider and at the CERN Large Hadron Collider [J] . Hussain Nur, Bhattacharjee Buddhadeb Physical review, C . 2017,第2期

机译：净胸密度对来自Cern Super Proton Synchrotron的最低能量的鉴定粒子的快速宽度的作用，以BNL相对论的重离子撞机和Cern大型强子撞机
4. NEURAL NETWORKS AND SEARCH FOR THE HIGGS PARTICLE AT THE CERN LARGE HADRON COLLIDER [C] . Italian workshop on fuzzy logic . 1998

机译：神经网络和在CERN大型HADRON撞机中搜索HIGGS粒子
5. A Search for New Physics Producing Jets, Large MT2, and Disappearing Tracks in 13 TeV Proton-Proton Collisions at CERN’s Large Hadron Collider [D] . Gilbert, Dylan . 2020

机译：搜索CERN大型HADRON COLLIDER 13 TEV Proton-Proton碰撞中的新物理生产喷气机，大型MT2和消失的轨道
6. Training of feedforward neural networks for data classification using hybrid particle swarm optimization Mantegna Lévy flight and neighborhood search [O] . Omid Tarkhaneh, Haifeng Shen 2019

机译：使用混合粒子群优化MantegnaLévy飞行和邻域搜索训练前馈神经网络进行数据分类
7. Neural Networks Search for Charged Higgs Boson of Two Doublet Higgs Model at the Hadrons Colliders [O] . Bakhet, Nady, Khlopov, Maxim Yu., Hussein, Tarek 2015

机译：神经网络搜索两个双峰Higgs的带电Higgs玻色子模型在Hadrons碰撞者

NEURAL NETWORKS AND SEARCH FOR THE HIGGS PARTICLE AT THE CERN LARGE HADRON COLLIDER

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