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@BOOK{Brckel:16299,
key = {16299},
editor = {Brückel, Thomas and Heger, Gernot and Richter, Dieter and
Roth, Georg and Zorn, Reiner},
title = {{L}aboratory {C}ourse {N}eutron {S}cattering: {L}ectures},
volume = {27},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {PreJuSER-16299},
isbn = {978-3-89336-725-2},
series = {Schriften des Forschungszentrums Jülich.
Schlüsseltechnologien / Key Technologies},
pages = {getr. Zählung},
year = {2011},
note = {Record converted from VDB: 12.11.2012},
abstract = {In this chapter, we will start with a very gentle
qualitative introduction entirely without formula to give
you an idea what the course is all about. The details will
follow in subsequent chapters. Imagine you leave this
lecture hall, some mean looking guys dressed entirely in
black follow, kidnap and take you to the medieval castle of
Nideggen in the close-by Eifel mountains. There you are
being thrown into a pitch dark dungeon. You cannot see
anything, but you hear some noises. Are there rats? Are
there other prisoners? Are there dragons? Luckily you
remember that you have some matches in your pocket. You
light a match, you can see everything around you and
everything becomes clear to you… What I have just
described is essentially like a scattering experiment:
figuratively it sheds light into darkness and helps us
understand the world around us. Let’s analyse what you did
in the dungeon: first when you light the match, you start a
source of radiation. Here the radiation is light. This light
then gets scattered (reflected, transmitted) from the
surrounding objects. In a scientific scattering experiment,
we will call this object a “sample”. Back to the
dungeon: some of this radiation gets scattered into your
eye. Your eye serves as very special radiation detector:
with its lens, it is able to even make an image of the
objects on the retina, which in the language of a physicist
would be called an “area position sensitive pixel
detector”. This image contains lots of information: the
colour of the backscattered light tells you something about
the absorption of certain components of the light and
therefore gives information about the material the light is
scattered from. The position of the signal on the retina
gives you information about the spatial arrangement of the
objects around you. And finally the time dependence of the
signal tells you that the monster is actually crawling
towards you, ready to attack. All this information has to be
treated and interpreted. This is done by our brain, an
extremely powerful computer to analyse this wealth of data.
This little example shows you the importance of scattering
for our understanding of the world: nearly all information
that we as individuals have about the world in which we live
comes from light scattering and imaging through our eyes. It
is only natural that scientists mimic this process of
obtaining information in well controlled scattering
experiments: they build a source of radiation, direct a beam
of radiation towards a sample, detect the radiation
scattered from a sample, i. e. convert the signal into an
electronic signal, which they can then treat by means of
computers. In most cases one wants an undisturbed image of
the object under investigation and therefore chooses the
radiation, so that it does not influence or modify the
sample. Scattering is therefore a non-destructive and very
gentle method, if the appropriate type of radiation is
chosen for the experiment. [...]},
cin = {PGI-4 / JCNS-2 / ICS-1 / JCNS-1 / JARA-FIT},
cid = {I:(DE-Juel1)PGI-4-20110106 / I:(DE-Juel1)JCNS-2-20110106 /
I:(DE-Juel1)ICS-1-20110106 / I:(DE-Juel1)JCNS-1-20110106 /
$I:(DE-82)080009_20140620$},
pnm = {Grundlagen für zukünftige Informationstechnologien /
Großgeräte für die Forschung mit Photonen, Neutronen und
Ionen (PNI) / BioSoft: Makromolekulare Systeme und
biologische Informationsverarbeitung},
pid = {G:(DE-Juel1)FUEK412 / G:(DE-Juel1)FUEK415 /
G:(DE-Juel1)FUEK505},
typ = {PUB:(DE-HGF)3},
url = {https://juser.fz-juelich.de/record/16299},
}