Tags:
, view all tags

ENFPC 2019

Informações Gerais

  • Datas: 01 a 05 de Setembro de 2019
  • Local: Campos do Jordão, SP
  • Hotel:
    • Nome a ser divulgado
    • Endereço
    • Telefone de Reserva

  • Datas Limites:
    • Inscrições: 10/05
      • Data limite para os que desejam (doutores) apoio da FAPESP
      • Acréscimo de 25% após o prazo
    • Submissão de Resumos: 10/05
    • Pagamento de Inscrições: 31/07

  • Transporte

Resumos

Instruções

  • Data Limite:
  • Entre 200 e 400 palavras
  • Formato LateX

Posters

Ana

  • Área: HEX - Física Experimental de Altas Energias
  • Título:
  • Autores: *Ana Maria Slivar, Eduardo Gregores
  • Instituição: UFABC
  • Resumo:
  • Submetido/Aceito: Sim / XXX

Breno

  • Área: HEX - Física Experimental de Altas Energias
  • Título: *Breno XXX, Thiago Tomei
  • Autores:
  • Instituição:
  • Resumo:

Dener

  • Área: HEX - Física Experimental de Altas Energias
  • Título: $K^{0}_{\ s}K^{0}_{\ s}$ Bose-Einstein Correlations in pPb@8.16 TeV at CMS Detector
  • Autores: César A. Bernardes, *Dener S. Lemos, Sandra S. Padula, Sunil M. Dogra, Wei Li?
  • Instituição: IFT-SPRACE-Unesp, KNU, Rice University?
  • Resumo: Two-particle Bose-Einstein correlations (BEC) are a powerfull method for probing the space-time geometry of the particle-emitting source in relativistic high-energy collisions. These correlations are sensitive to the quantum statistics of identical particles as well as the strong and/or Coulomb interactions between particles. This poster presents the first $K^{0}_{\ s}K^{0}_{\ s}$ BEC measurement with the data from the LHC Run II collected by CMS detector in proton-lead (pPb) collisions at $\sqrt{s_{\hbox{\tiny NN}}} = $ 8.16 TeV. The $K^{0}_{\ s}$ is a particle which decays into $\pi^{+}\pi^{-}$, the reconstruction and the study to remove the background contributions are present in this work. As a neutral particle we can use the $K^{0}_{\ s}K^{0}_{\ s}$ BEC to study the contribution of strong interactions in this correlations. The one-dimensional BEC radii $R_{\mathrm{inv}}$ results are presented as a function of mean transverse pair momentum ($k_{\mathrm{T}}$ and of the charged particle multiplicity (N_{\mathrm{trk}}), in order to study the dynamical behavior of the emitting source. This analysis is performed for both minimum-bias and high-multiplicity samples and we also compare this results with BEC measurement for charged hadrons at pPb@8.16 TeV.

Eduardo

  • Área: DCE - Divulgação e Ensino da Física Nuclear e de Partículas Elementares
  • Título: SPRACE MasterClass na UFABC
  • Autores: André Lessa, *Eduardo Gregores, Lucio Costa, Pedro Mercadante
  • Instituição: UFABC
  • Resumo:

Eduardo

  • Área: HEX - Física Experimental de Altas Energias
  • Título: Sao Paulo Research and Analysis Center — SPRACE
  • Autores: *Eduardo Gregores, The SPRACE Team
  • Resumo: The São Paulo Research and Analysis Center (SPRACE) is active in the areas of fundamental science, high performance computing and digital innovation. Created in 2003, with the support of the Foundation for Research Support of the State of São Paulo (FAPESP), SPRACE enables the participation of São Paulo researchers in the Compact Muon Solenoid (CMS) experiment from the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN). The center operates a Tier 2 (BR-SP-SPRACE) of the Worldwide LHC Computing Grid (WLCG) computational structure that processes, analyses and stores part of the data generated by the experiment. The engineer team works on the development of the Data Acquisition electronics that will be implemented in the second phase of the CMS tracking detector upgrade. SPRACE has several partnerships with the private sector to develop digital innovation projects, with emphasis on High Performance Computing (HPC), Machine Learning and Software Defined Networking (SDN). His team has developed Kytos, the open-source SDN platform for network control that has been used in AmLight's international link. Besides the analysis on Heavy Ion and Exotica Physics CMS data, computing processing, hardware development and the many spin-offs, SPRACE also has been pursuing a strong program on particle physics dissemination and education.

Isabela

  • Área: DCE - Divulgação e Ensino da Física Nuclear e de Partículas Elementares
  • Título:
  • Autores: *Isabela XXX, Sandra Padula
  • Instituição:
  • Resumo:

Tulio

  • Área: HEX - Física Experimental de Altas Energias
  • Título:
  • Autores: Eduardo Gregores, *Tulio Cardoso
  • Instituição: UFABC
  • Resumo:

César

  • Área: HEX - Física Experimental de Altas Energias
  • Título: Two-particle Bose-Einstein Correlations Measurements in proton-proton collisions at $13~\mathrm{GeV}$ using the CMS detector
  • Autores: *César A. Bernardes, Sandra S. Padula, Sunil M. Dogra, Máté Csanád
  • Instituição: SPRACE-Unesp, Kyungpook National University, Eötvös University
  • Resumo: Femtoscopic two-particle Bose-Einstein correlations (BEC)~[1] are important in the study of the space-time properties of particle emitting systems created in hadronic and nucleonic ultrarelativistic collisions. In this presentation, we summarize the final results of an BEC analysis in proton-proton (pp) collisions at $\sqrt{s} = 13~\mathrm{GeV}$ using the CMS detector at LHC~[2]. We pay special attention to events with high charged particle multiplicities (HM), where a ridge-like azimuthal correlation (ridge) was observed. The ridge structure in pp, also present in heavy-ions collisions and in these systems understood to be a consequence of the formation of a Quark-Gluon Plasma phase, is a topic of intense debate. Studies of the space-time evolution of these systems could help to shed light on the origin of these phenomena. Using BEC techniques we measure the one-dimensional size of the particle emitting region (lenghts of homogeneity) and correlation intensity as functions of event charged particle multiplicity, mean transverse momentum of the two-particle (k_{\mathrm{T}}) and the transverse mass of the pair (m_{\mathrm{T}}). We use three different analyses techniques for the measurements and compare our results qualitatively with some predictions based on the Color-Glass effective theory, Hydrodynamics models, and also with previous measurements from the ATLAS and the CMS collaborations~[3-4].

References:

[1] W. L. G. Goldhaber, S. Goldhaber and A. Pais, ``Influence of Bose-Einstein Statistics in the Antiproton-Proton Annihilation Process'', Phys. Rev. 120 (1960) 300.

[2] CMS Collaboration, ``Femtoscopic Bose-Einstein correlations of charged hadrons in pp collisions at 13 TeV'', CMS Physics Analysis Summary FSQ-15-009 (2018).

[3] CMS Collaboration, ``Bose-Einstein correlations in pp, pPb, and PbPb collisions at $\sqrt{s}=0.9 - 7~\mathrm{TeV}$'' Phys. Rev. C 97 (2018) 064912.

[4] ATLAS Collaboration, ``Two-Particle Bose-Einstein Correlations in pp collisions at $\sqrt{s}=0.9$ and $7~\mathrm{TeV}$ with the ATLAS detector'', Eur. Phys. J. C 75 (2015) 466.

Apresentações Orais

Sandra

  • Área: DCE - Divulgação e Ensino da Física Nuclear e de Partículas Elementares
  • Título:
  • Autores:
  • Instituição:
  • Resumo:

Thiago

  • Área: HEX - Física Experimental de Altas Energias
  • Título: Machine Learning Techniques for HL-LHC Tracking in CMS
  • Autores: R. Cobe, J. Fialho, R. Iope, A. Santos, S. Stanzani, T. Tomei
  • Instituição: SPRACE-Unesp
  • Resumo: The High-Luminosity LHC (HL-LHC) is the next challenge in the HEP scenario, bringing the collider’s instantaneous luminosity to 75 Hz/nb and increasing in 5 times the amount of additional pp interactions in the same or neighboring bunch crossings, referred to as pileup (PU). At an average pileup of 140, in its standard configuration, the HL-LHC will deliver to CMS a data throughput of approximately 30 GB/s, doubling to 60 GB/s at the ultimate (PU = 200) configuration. Already on 2027, the CMS experiment estimates a need of 2.2 EB of disk, 3 EB of tape and 4.4M CPI cores, with only 200 to 300/fb of data collected. At the end of the full LHC + HL-LHC experimental run, the total collected luminosity will be on the order of 3000/fb. In order to deal with the increased amount of generated data and the complexity of the simulations, new techniques and frameworks have to be deployed and/or developed. In that scenario, the Deep Neural Networks (DNN) revolution can make a significant impact on HEP. These techniques are most promising when there are both a large amount of data and a high number of features. We report on the exploration of the usage of advanced machine learning techniques for tracking at the HL-LHC, using the same dataset that was used for the TrackML Kaggle challenge.

Dener

  • Área: PHE - Fenomenologia Hadrônica e de Partículas Elementares
  • Título: CHESS: Complete Hydrodynamical Evolution SyStem
  • Autores: *Dener S. Lemos, Otavio Socolowski Jr., Sandra S. Padula
  • Instituição: IFT-SPRACE-Unesp, FURG
  • Resumo: Under certain conditions of high energy density and temperature it is possible to observe the transition between the ordinary matter (made by hadrons) to quark-gluon plasma (QGP), where the quarks and gluons are not trapped. The QGP can be created in relativistic heavy-ion collisions, such as done at RHIC and LHC. One way to study such a complex system formed in the collisions is by using the hydrodynamic model. The application of this model is grounded in the hypothesis that this system will reach, rapidly, a local thermodynamic equilibrium state, and in the fact that system shows a collectivity behavior. Recently, experimental results have shown evidence of a similar behavior in small colliding systems (pp and pPb collisions) at high multiplicity. The Complete Hydrodynamic Evolution SyStem (CHESS) is a phenomenological package created to compare the results with the RHIC and LHC data. This code is designed to describe all the evolution of system formed in both heavy-ion collisions and small colliding systems using the hydrodynamical model (viscous and ideal) in 2+1 dimensions (boost invariance). The structure of the package is given by the three public codes connected by scripts in python language. With this code is possible to calculate many observables and compare with data, for example: rapidity distributions, invariant momentum distribution, flow and HBT effect.

-- gregores - 2019-04-25

Edit | Attach | Print version | History: r32 | r10 < r9 < r8 < r7 | Backlinks | Raw View | Raw edit | More topic actions...
Topic revision: r8 - 2019-05-02 - gregores
 

This site is powered by the TWiki collaboration platform Powered by PerlCopyright © 2008-2024 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki? Send feedback

antalya escort bursa escort eskisehir escort istanbul escort izmir escort