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SUMMARY:Pitfalls in IBA data analysis (I)
DTSTART;VALUE=DATE-TIME:20160928T063000Z
DTEND;VALUE=DATE-TIME:20160928T073000Z
DTSTAMP;VALUE=DATE-TIME:20260512T195721Z
UID:indico-contribution-12@ictp.it
DESCRIPTION:Speakers: BARRADAS\, Nuno P. (Instituto Superior Técnico\, Li
 sbon\, Portugal)\nIon beam analysis is a quantitative analytical group of 
 techniques\, and the purpose of this lecture is to show how to avoid many 
 pitfalls that often prevent IBA techniques from determining elemental dept
 h profiles accurately. In fact\, IBA is fraught with pitfalls. There are v
 ery many things that can be done wrong or simply go wrong unless great car
 e is taken. We will first address pitfalls coming from experimental issues
 \, namely: lost beam and events\, calibration of fixed parameters\, unwant
 ed target-beam interactions\, and other effects. These are not only releva
 nt\, but in fact essential to data analysis\, because problematic data tha
 t are not what the analyst thinks it is\, will lead to wrong conclusions\,
   and it is often possible to  identify issues in the data during data ana
 lysis. Then we will address pitfalls related to data analysis itself. With
  codes such as NDF (DataFurnace)\, that include a great deal of advanced p
 hysics and effects\, and allow the user to fit parameters such as beam ene
 rgy\, angles of scattering and of incidence\, or even the stopping powers 
 and cross sections\, the scope for error increased enormously. At the same
  time\, many new IBA users no longer have a heavy background in nuclear or
  ion beam physics\, and reliance on computer programs is a given. We will 
 use real life examples to illustrate some of the most common pitfalls in I
 BA data analysis\, along with steps that can be taken to prevent or remedy
  such problems.\n\n//indico.ictp.it/event/7638/session/2/contribution/12
LOCATION:ICTP LB (Euler Lecture Hall)
URL://indico.ictp.it/event/7638/session/2/contribution/12
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