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Nuclear instruments & methods in physics research. Section B, Beam interactions with materials and atoms, 2013-07, Vol.306, p.49-53
2013

Details

Autor(en) / Beteiligte
Titel
Hydrogen analysis and profiling with a position sensitive detector
Ist Teil von
  • Nuclear instruments & methods in physics research. Section B, Beam interactions with materials and atoms, 2013-07, Vol.306, p.49-53
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2013
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • The double sided silicon strip detector (DSSSD) is a segmented silicon detector commonly used in the fields of high energy physics and nuclear physics. This type of detector is used for analysis of reactions produced by charged particles. This makes it well suited for a number of analytical methods commonly used in ion beam analysis (IBA), such as Rutherford Backscattering (RBS) and elastic recoil detection (ERDA). One such detector was installed and tested at Lund Ion Beam Analysis Facility (LIBAF) recently. This is a modification to the existing setup used to measure hydrogen concentrations and depth profiles. When completed it will be used primarily for geological applications. Exact knowledge of the hydrogen content is important in a number of fields, but high enough accuracy can be difficult to achieve with most methods. In IBA normally some variant of ERDA, such as the proton–proton (p–p) coincidence method is used. We describe how the p–p coincidence technique was optimized to get the most out of our experimental setup. Previously this type of spectroscopy has been performed with two detector channels. In the present setup we expand that number from 2 to 96 channels, 64 on the front and 32 on the back of the detector. The intersecting strips give 2048 distinct detector elements or 1024 possible coincidences as dictated by the reaction kinematics. This increase in complexity requires a more detailed data analysis but it rewards us with higher sensitivity and a better background suppression.
Sprache
Englisch
Identifikatoren
ISSN: 0168-583X
eISSN: 1872-9584
DOI: 10.1016/j.nimb.2012.12.040
Titel-ID: cdi_swepub_primary_oai_lup_lub_lu_se_5210ed21_5317_44ba_a203_52afcda94e7a

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