SuperCDMS, the next stage of the Cryogenic Dark Matter Search (CDMS), uses cylindrical germa- nium crystals as particle detectors to measure phonon and ionization signals resulting from particle interactions. The aim of CDMS is to identify and measure interactions from dark matter particles (WIMPs). Phonons produced during a particle interaction are absorbed by sensors on the detector surface and are measured through the change in the sensors' temperature dependent resistance. Electrodes on the detector surface create an electric eld causing charges released during an inter- action to drift through the detector and produce an ionization signal. Surface events, which are interactions that occur within a few m from the electrodes, cause a reduced ionization signal due to di usion of some of the initially hot charge carriers into the electrode. Because the ability of CDMS to discriminate between a WIMP interaction and background radiation is based on the ratio of phonon to ionization energies, surface events cause a signal similar to a WIMP interaction and are currently the largest source of background. A detector test facility at Queen's University has been commissioned to characterize detectors and test new detector technology. Multiple detectors have been characterized and many tungsten samples have been measured. Two sets of experiments were performed to test new detector designs. To possibly reduce surface events, an insulating layer was deposited on a germanium detector be- neath the electrode to prevent back di usion of charge into the electrode. To possibly simplify the phonon sensor production process, di erent cryogenic glues were used to attach silicon wafers with a tungsten lm to the crystal surface and phonon propagation through these glues was measured. The most e ective cryogenic glue for coupling tungsten samples to CDMS detectors was found to be Araldite epoxy. Both experiments were successful at measuring interactions. Energy calibrations were performed on both charge and phonon sensors. Further research is required to determine the success of reducing surface events with an insulating layer. / Thesis (Master, Physics, Engineering Physics and Astronomy) -- Queen's University, 2011-05-30 10:39:02.976

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Bakgrund Klädesbranschen står inför nya möjligheter i form självserviceteknologi (SST). Ett flertal butiker har redan börjat använda olika typer av teknologiska lösningar. Det verkar dock finnas meningsskillnader angående om det är en god idé att införa SST i alla typer av butiker. Syfte Syftet med studien var att skapa en djupare förståelse för hur svenska konsumenters shoppingstil och teknikmognad möjliggör användningen av SST i klädesbutiker. Genomförande Efter en utförlig litteraturstudie konstruerades en enkät baserad på inom ämnet etablerade metoder inom köpbeteende och teknikmognad. Enkät delades ut i Linköping. En statistisk analys genomfördes därefter med hjälp av programvaran SPSS. Resultatet jämfördes och utvärderades till sist mot tidigare genomförda studier inom området. Slutsats Svenska konsumenter har olika shoppingstilar samt olika nivåer av teknikmognad. Studien identifierade fem konsumentgrupper av shoppingstilar samt fem konsumentgrupper av teknikmognad. De konsumenter som klassificerats som vane- och lojalitetsshoppare samt undvikare av shopping har en hög teknikmognad således är implementering av SST en god idé för dessa konsumentgrupper. För stilarna: shoppingälskaren och den förvirrade shopparen verkar potentiellt användande av SST mindre positivt då dessa karaktäriseras av lägre teknikmognad. / Background The apparel industry faces new possibilities in the form of selfservice technology (SST). Several stores have already started using different types of technological solutions. There seem to be a disagreement regarding whether or not this is a good idea to implement SST in all types of apparel stores. Purpose The purpose of this study is to create a deeper understanding regarding Swedish consumers decision making styles and their technology readiness and how this enables the use of SST in apparel stores. Completion After an extensive literature review a survey was created. The survey was based on well established tools for measuring consumer decision making styles and technology readiness. The survey was distributed in Linköping, Sweden and then analyzed in SPSS. Conclusion Swedish consumers have different consumer decision making styles and different levels of technology readiness. The study showed that it was possible to divide the consumers into four different groups regarding consumer decision making style. The consumers classified as habitual and brand loyal and shopping avoiders showed high levels of technology readiness, the enabling of SST for this type of consumer seems promising. The shopping lover and the confused shopper enabling of SST seems less promising since they show low levels of technology readiness.