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@PHDTHESIS{Silva:218886,
      author       = {Silva, Joel},
      title        = {{D}igital {S}ignal {A}nalysis for {C}s{I}({T}1) {D}etectors
                      and the {A}ctive-{T}arget at {R}$^3${B}},
      school       = {Johannes Gutenberg-Universität Mainz},
      type         = {Dissertation},
      reportid     = {GSI-2019-00703},
      pages        = {138 S.},
      year         = {2016},
      note         = {Dissertation, Johannes Gutenberg-Universität Mainz , 2016},
      abstract     = {Modern experimental setups tend to replace analogue
                      front-end electronics with fully digital systems.The
                      detector signals are sampled in early stages and most of the
                      signal processing is performeddigitally. The presented work
                      is divided into two major subjects involving digital
                      signalanalysis: firstly employed to correct temperature
                      dependent gain variations and perform particleidentification
                      of CsI(T1) based detectors and secondly to test the
                      functionality of an active-targetprototype (AcTar) for the
                      Reactions with Relativistic Radioactive Beams (R$^3$B)
                      setup.In the first part of this work a pulse shape based
                      method for monitoring the interior temperatureof the CsI(Tl)
                      crystal is proposed. The method uses the correlation between
                      the gain and definedpulse shape parameters to correct the
                      effect of temperature variations in the energy calibration
                      ofthe corresponding detector system. The suitability of the
                      method was tested using both, a photomultipliertube (PMT)
                      and an avalanche photodiode (APD) readout photosensor. The
                      analysisshows that the gain changes due to temperature
                      variations can be corrected to a precision betterthan 1\%
                      with both the PMT and APD photosensors, well below the
                      CsI(T1) intrinsic resolution for$\sim$1 MeV $\gamma$-rays.
                      For particle identification, the fuzzy clustering algorithm
                      is used to compute theprinciple pulse shape associated with
                      the different particle species in an unsupervised fashion.
                      Theresults show good discrimination between protons and
                      $\gamma$-rays.In the second part of this work the
                      functionality of the AcTar prototype for the R$^3$B setup
                      has been tested. The objective was to prove the feasibility
                      and performance of such kind of detector withthe use of
                      heavy ion beams. As a proof of concept, a $^{58}$Ni beam at
                      700 MeV/u was impinging on a He-H$_2$ (3\%) gaseous target
                      mixture. The presented results show the principle
                      functionalities of thedetector and suggest that pulse shape
                      analysis can indeed be used to track the recoil particles
                      andreconstruct the kinematics. It is the first time that an
                      active-target of such kind has been successfullytested with
                      beams heavier than carbon.},
      cin          = {KRA / R3B@FAIR},
      cid          = {I:(DE-Ds200)KRA-20150901OR349 / I:(DE-Ds200)Coll-FAIR-R3B},
      pnm          = {613 - Matter and Radiation from the Universe (POF3-613)},
      pid          = {G:(DE-HGF)POF3-613},
      typ          = {PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:hebis:77-diss-1000005377},
      url          = {https://repository.gsi.de/record/218886},
}