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Measurement of the Partial Branching Fraction for the Decay B0->Ks mumu with the ATLAS Experiment, New Techniques for Selecting Electrons for Precision Measurements at the High Luminosity Large Hadron Collider, and Development of 3D Silicon Sensors for Fu

Tuesday August 22, 2023
2:00 pm

 Presenter:  Andrew Gentry (UNM)
 Series:  Nuclear, Particle, Astroparticle and Cosmology (NUPAC) Seminars
 Abstract:  The Standard Model of particle physics is successful at predicting a wide range of physical phenomena, but it does not account for others, such as the existence of Dark Matter, which is seen in many astrophysical contexts. Many Beyond the Standard Model (BSM) scenarios predict that BSM processes will contribute identical final states to Standard Model processes. These processes, then, are likely to be very rare, or they would have been discovered already. It will be difficult to detect small deviations due to BSM physics in channels that have a large branching ratio, but it may be possible to detect significant deviation if the underlying SM process is itself extremely rare. The ATLAS experiment at the LHC is well poised to measure these rare processes, due to its unprecedented statistical precision. The process B0->Ks mumuis a flavor changing neutral current decay, and thus not allowed at tree level, making it very rare. A measurement of the partial branching fraction for this decay using ATLAS data is proposed here. The LHC will soon undergo an upgrade, called the High-Luminosity upgrade, in order to provide even larger statistics and improve the ability to study rare decays. A study of improved background discrimination for electrons in the High Luminosity LHC is presented. Future particle physics experiments will seek to push to even higher luminosity and energy with the goal of revealing New Physics and making precision Standard Model measurements. In order to realize this goal, detectors which are more resilient to radiation damage will be necessary. Studies for the development of radiation-hard 3D silicon sensors that could meet this need are discussed.
 Web Site:    https:/ / unm.zoom.us/ j/ 94141126387
 Host:  Sally Seidel
 Location:  PAIS-3205, PAIS

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