12 December 2017 Haji Ahmadov


Speaker             : Haji Ahmadov, National Metrology Institute (UME)
Title                     : Preliminary Planck constant measurements via UME oscillating – magnet Kibble balance
Date                     : December 12, 2017 Tuesday
Time                    : 2:30 P.M.
Cookie & Tea  : SCI 103 2:15 P.M.
Place                   : SCI 103
web                       https://physics-seminars.ku.edu.tr

Abstract: The UME Kibble balance project was initiated at the second half of 2014. During this period we have studied the theoretical aspects of Kibble balances in which an oscillating magnet generates AC Faraday’s voltage in a stationary coil, and constructed a trial version to implement this idea. The remarkable feature of this approach is that it can establish the link between the Planck constant and a macroscopic mass by one single experiment in the most natural way. Weak dependences on variations of environmental and experimental conditions, small sizes and other useful features offered by this novel approach reduce the complexity of the experimental setup. In the present seminar we describe the principles of oscillating magnet Kibble balance and give details of the preliminary Planck constant measurements. The value of the Planck constant determined with our apparatus is with a relative standard uncertainty of 6 ppm.

Bio: Haji Ahmedov holds degrees from Moscow State University and Bosporus University. He was awarded in the framework of GEBİP, TÜBA program (Awarding Program for Outstanding Young Scientists). He worked as a Senior Researcher at Feza Gürsey Institute ( TÜBİTAK ) during 1998 -2012 and employed as guest lecturer in Istanbul Technical University. Currently, he works in National Metrology Institute (TÜBİTAK, UME). He is the mastermind of the UME Kibble (Watt) Balance project and coordinates it since 2014. He works as a guest lecturer in Gebze Technical University. His research areas are quantum field theory, mathematical physics, general relativity, quantum metrology and mathematical statistics.