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Author Hernandez, P. doi  openurl
  Title CP violation in the neutrino sector: The new frontier Type Journal Article
  Year 2012 Publication (up) Comptes Rendus Physique Abbreviated Journal C. R. Phys.  
  Volume 13 Issue 2 Pages 186-192  
  Keywords Flavour physics; Neutrino physics; Matter-antimatter asymmetry  
  Abstract The discovery of neutrino masses has revealed a new flavour sector in the Standard Model. Just like the quark flavour sector, it contains a seed of CP violation, resulting in an asymmetric behaviour of matter and antimatter. It is argued that this new source of leptonic CP violation may be discovered in more precise neutrino oscillation experiments involving neutrino beams with energies in the GeV range that will be sent to distances of a few thousand kilometres.  
  Address [Hernandez, Pilar] Dpto Fis Teor UV, Valencia 46071, Spain, Email: m.pilar.hernandez@uv.es  
  Corporate Author Thesis  
  Publisher Elsevier France-Editions Scientifiques Medicales Elsevier Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1631-0705 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000301037700015 Approved no  
  Is ISI yes International Collaboration no  
  Call Number IFIC @ pastor @ Serial 934  
Permanent link to this record
 

 
Author Gersabeck, E.; Pich, A. openurl 
  Title Tau and charm decays Type Journal Article
  Year 2020 Publication (up) Comptes Rendus Physique Abbreviated Journal C. R. Phys.  
  Volume 21 Issue 1 Pages 75-92  
  Keywords Tau and charm physics; D-0 mixing; CP violation  
  Abstract A summary of recent precise results in tau and charm physics is presented. Topics include leptonic and hadronic tau decays, lepton flavour and lepton number violation, charm mixing and CP violation, leptonic and semileptonic charm decays, rare decays and spectroscopy.  
  Address [Gersabeck, Evelina] Univ Manchester, Oxford Rd, Manchester M13 9PL, Lancs, England, Email: evelina.gersabeck@cern.ch;  
  Corporate Author Thesis  
  Publisher centre Mersenne pour ldition scientifique ouverte Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1631-0705 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000573985600006 Approved no  
  Is ISI yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 4550  
Permanent link to this record
 

 
Author Fernandez Casani, A.; Garcia Montoro, C.; Gonzalez de la Hoz, S.; Salt, J.; Sanchez, J.; Villaplana Perez, M. doi  openurl
  Title Big Data Analytics for the ATLAS EventIndex Project with Apache Spark Type Journal Article
  Year 2023 Publication (up) Computational and Mathematical Methods Abbreviated Journal Comput. Math. Methods  
  Volume 2023 Issue Pages 6900908 - 19pp  
  Keywords  
  Abstract The ATLAS EventIndex was designed to provide a global event catalogue and limited event-level metadata for ATLAS experiment of the Large Hadron Collider (LHC) and their analysis groups and users during Run 2 (2015-2018) and has been running in production since. The LHC Run 3, started in 2022, has seen increased data-taking and simulation production rates, with which the current infrastructure would still cope but may be stretched to its limits by the end of Run 3. A new core storage service is being developed in HBase/Phoenix, and there is work in progress to provide at least the same functionality as the current one for increased data ingestion and search rates and with increasing volumes of stored data. In addition, new tools are being developed for solving the needed access cases within the new storage. This paper describes a new tool using Spark and implemented in Scala for accessing the big data quantities of the EventIndex project stored in HBase/Phoenix. With this tool, we can offer data discovery capabilities at different granularities, providing Spark Dataframes that can be used or refined within the same framework. Data analytic cases of the EventIndex project are implemented, like the search for duplicates of events from the same or different datasets. An algorithm and implementation for the calculation of overlap matrices of events across different datasets are presented. Our approach can be used by other higher-level tools and users, to ease access to the data in a performant and standard way using Spark abstractions. The provided tools decouple data access from the actual data schema, which makes it convenient to hide complexity and possible changes on the backed storage.  
  Address [Casani, Alvaro Fernandez; Montoro, Carlos Garcia; de la Hoz, Santiago Gonzalez; Salt, Jose; Sanchez, Javier; Perez, Miguel Villaplana] CSIC UV, Inst Corpuscular Phys IFIC, E-46980 Paterna, Spain, Email: alvaro.fernandez@ific.uv.es;  
  Corporate Author Thesis  
  Publisher Wiley-Hindawi Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes WOS:001079548500001 Approved no  
  Is ISI yes International Collaboration no  
  Call Number IFIC @ pastor @ Serial 5706  
Permanent link to this record
 

 
Author Ferrer-Sanchez, A.; Martin-Guerrero, J.; Ruiz de Austri, R.; Torres-Forne, A.; Font, J.A. url  doi
openurl 
  Title Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics Type Journal Article
  Year 2024 Publication (up) Computer Methods in Applied Mechanics and Engineering Abbreviated Journal Comput. Meth. Appl. Mech. Eng.  
  Volume 424 Issue Pages 116906 - 18pp  
  Keywords Riemann problem; Euler equations; Machine learning; Neural networks; Relativistic hydrodynamics  
  Abstract We present a novel methodology based on Physics-Informed Neural Networks (PINNs) for solving systems of partial differential equations admitting discontinuous solutions. Our method, called Gradient-Annihilated PINNs (GA-PINNs), introduces a modified loss function that forces the model to partially ignore high-gradients in the physical variables, achieved by introducing a suitable weighting function. The method relies on a set of hyperparameters that control how gradients are treated in the physical loss. The performance of our methodology is demonstrated by solving Riemann problems in special relativistic hydrodynamics, extending earlier studies with PINNs in the context of the classical Euler equations. The solutions obtained with the GA-PINN model correctly describe the propagation speeds of discontinuities and sharply capture the associated jumps. We use the relative l(2) error to compare our results with the exact solution of special relativistic Riemann problems, used as the reference ''ground truth'', and with the corresponding error obtained with a second-order, central, shock-capturing scheme. In all problems investigated, the accuracy reached by the GA-PINN model is comparable to that obtained with a shock-capturing scheme, achieving a performance superior to that of the baseline PINN algorithm in general. An additional benefit worth stressing is that our PINN-based approach sidesteps the costly recovery of the primitive variables from the state vector of conserved variables, a well-known drawback of grid-based solutions of the relativistic hydrodynamics equations. Due to its inherent generality and its ability to handle steep gradients, the GA-PINN methodology discussed in this paper could be a valuable tool to model relativistic flows in astrophysics and particle physics, characterized by the prevalence of discontinuous solutions.  
  Address [Ferrer-Sanchez, Antonio; Martin-Guerrero, JoseD.] ETSE UV, Elect Engn Dept, IDAL, Avgda Univ S-N, Valencia 46100, Spain, Email: Antonio.Ferrer-Sanchez@uv.es  
  Corporate Author Thesis  
  Publisher Elsevier Science Sa Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0045-7825 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:001221797400001 Approved no  
  Is ISI yes International Collaboration no  
  Call Number IFIC @ pastor @ Serial 6126  
Permanent link to this record
 

 
Author Basso, L.; Belyaev, A.; Chowdhury, D.; Hirsch, M.; Khalil, S.; Moretti, S.; O'Leary, B.; Porod, W.; Staub, F. url  doi
openurl 
  Title Proposal for generalised supersymmetry Les Houches Accord for see-saw models and PDG numbering scheme Type Journal Article
  Year 2013 Publication (up) Computer Physics Communications Abbreviated Journal Comput. Phys. Commun.  
  Volume 184 Issue 3 Pages 698-719  
  Keywords SLHA; See-saw; PDG scheme  
  Abstract The SUSY Les Houches Accord (SLHA) 2 extended the first SLHA to include various generalisations of the Minimal Supersymmetric Standard Model (MSSM) as well as its simplest next-to-minimal version. Here, we propose further extensions to it, to include the most general and well-established see-saw descriptions (types I/II/III, inverse, and linear) in both an effective and a simple gauged extension of the MSSM framework. In addition, we generalise the PDG numbering scheme to reflect the properties of the particles. (c) 2012 Elsevier B.V. All rights reserved.  
  Address [Basso, L.; Belyaev, A.; Khalil, S.; Moretti, S.] Univ Southampton, Sch Phys & Astron, Southampton SO17 1BJ, Hants, England, Email: lorenzo.basso@physik.uni-freiburg.de;  
  Corporate Author Thesis  
  Publisher Elsevier Science Bv Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0010-4655 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000315125500027 Approved no  
  Is ISI yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 1341  
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