Author: Jacquet, D.
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TUPIK087 Phase Advance Interlocking Throughout the Whole LHC Cycle 1901
 
  • K. Fuchsberger, A. Calia, M.A. Galilée, G.H. Hemelsoet, M. Hostettler, D. Jacquet, J. Makai, M. Schaumann
    CERN, Geneva, Switzerland
 
  Each beam of CERN's Large Hadron Collider (LHC) stores 360 MJ at design energy and design intensity. In the unlikely event of an asynchronous beam dump, not all particles would be extracted immediately. They would still take one turn around the ring, oscillating with potentially high amplitudes. In case the beam would hit one of the experimental detectors or the collimators close to the interaction points, severe damage could occur. In order to minimize the risk during such a scenario, a new interlock system was put in place in 2016. This system guarantees a phase advance of zero degrees (within tolerances) between the extraction kicker and the interaction point. This contribution describes the motivation for this new system as well as the technical implementation and the strategies used to derive appropriate tolerances to allow sufficient protection without risking false beam dump triggers.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-TUPIK087  
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TUPIK088 Development of a New System for Detailed LHC Filling Diagnostics and Statistics 1905
 
  • A. Calia, K. Fuchsberger, G.H. Hemelsoet, D. Jacquet
    CERN, Geneva, Switzerland
 
  In the CERN accelerator complex the Super Proton Synchrotron (SPS) is used as injector of the Large Hadron Collider (LHC). Statistics on the injection and beam availability in 2015 showed that too much time is spent at injection. Reducing this time could improve LHC availability and luminosity over the year. Currently, useful data to diagnose the problems is sparse and shown in different applications. Operators time is wasted in debugging and checking for the source of the problem before trying another injection. A new Software application for diagnostics of the LHC Filling is under development which collects data from multiple inputs of the CERN Control System and concentrates them in one central view. The inputs are processed and matched with a set of rules (or assertions) that need to be fulfilled for an injection to be successful. Whenever a problem occurs, the operator can check the Filling Diagnostic for hints on what is the source of the problem during the injection. Filling Diagnostic also produces statistics of the LHC injections and the causes of failed injections, this will allow significantly better analysis of the LHC performance for next year.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-TUPIK088  
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TUPVA014 The 2016 Proton-Nucleus Run of the LHC 2071
 
  • J.M. Jowett, R. Alemany-Fernández, G. Baud, P. Baudrenghien, R. De Maria, R. De Maria, D. Jacquet, M.A. Jebramcik, A. Mereghetti, T. Mertens, M. Schaumann, H. Timko, M. Wendt, J. Wenninger
    CERN, Geneva, Switzerland
 
  For five of the LHC experiments the second p-Pb collision run planned in 2016 offered the opportunity to answer a range of important physics questions arising from the surprise discoveries (e.g., flow-like collective phenomena in small systems) made in earlier Pb-Pb, p-Pb and p-p runs. However the diversity of the physics and their respective capabilities led them to request very different operating conditions, in terms of collision energy, luminosity and pile-up. These appeared mutually incompatible within the available one month of operation. Nevertheless, a plan to satisfy most requirements was developed and implemented successfully. It exploited different beam lifetimes at two beam energies of 4 Z TeV and 6.5 Z TeV, a variety of luminosity sharing and bunch filling schemes, and varying beam directions. The outcome of this very complex strategy for repeated re-commissioning and operation of the LHC included the longest ever LHC fill with luminosity levelled for almost 38 h. The peak luminosity achieved exceeded the design value by a factor 7.8 and integrated luminosity substantially exceeded the experiments' requests.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-TUPVA014  
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