Fizik

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Browsing Fizik by Author "Akdoğan, Taylan."

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    Cross sections for neutron-deuteron elastic scattering in the energy range 135 - 250 MeV
    (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.) Ertan, Erol.; Akdoğan, Taylan.
    New results for neutron-deuteron elastic scattering cross sections at energies from 135 to 250 MeV and center-of-mass angles from 80 to 130 have been measured at the WNR facility of the Los Alamos Neutron Science Center at the Los Alamos National Laboratory [1, 2]. The measurements were made with a pulsed neutron beam which allowed the use of time-of- ight techniques and with a cryogenic liquid deuterium and liquid hydrogen target. The neutron-proton elastic cross-section data were used for normalization purposes. An array of pure CsI crystal along with a set of thin scintillator detectors used for charged particle identi cation on one side of the beam, and a set of long horizontal plastic scintillator bars were used as a neutron detector wall on the other side of the beam. Our measurements are compared to both previous measurements and theoretical predictions at relevant energies and favors the predictions including three-nucleon forces.
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    Triggerless particle identification systems using FPGA
    (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.) Güney, Veli Uğur.; Akdoğan, Taylan.; Uğurdağ, Fatih.
    As the beam energy and event rate in experimental particle physics setups increases, the acquisition and analysis of the data created at the experiments become more complex. In the beginning, counting the recorded events on a photo-plate by hand was enough. Then, computerized automated methods of event selection and of- ine analysis has been used. But in that kind of setup for every signal channel coming from a detector one needs to have some special purpose hardware to identify particles. We made a next generation digital Data AQuisition (DAQ) system specialised to analyse pulse-based signals to replace the traditional setup. It is a triggerless particle identi cation system which uses Field Programmable Gate Array (FPGA) technology. It takes digitized electrical pulse signals coming from a scintillator-PhotoMultiplier Tube (PMT) system due to incoming charged particles as input and calculates the best t parameters of a prede ned modeling function to the pulse. All of the calculations are done on a specialized FPGA chip in real-time -our part of this work- with a deadtimeless manner and only important pulse parameters are sent to the computer.