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000318777 1001_ $$0P:(DE-H253)PIP1017090$$aPeschke, Richard$$b0$$eCorresponding author$$gmale
000318777 245__ $$aCharacterisation of the ATLAS ITK Strips Front-End Chip and Development of EUDAQ 2.0 for the EUDET-Style Pixel Telescopes$$f2012-05-15 - 2016-12-09
000318777 260__ $$aHamburg$$bVerlag Deutsches Elektronen-Synchrotron$$c2017
000318777 300__ $$a138
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000318777 502__ $$aUniversität Hamburg, Diss., 2016$$bDr.$$cUniversität Hamburg$$d2016$$o2016-12-09
000318777 520__ $$aAs part of the ATLAS phase-II upgrade a new, all-silicon tracker will be built.  The newtracker will consist of silicon pixel sensors and silicon microstrip sensors. For the readoutof the microstrip sensor a new readout chip was designed; the so called ATLAS BinaryConverter 130 (ABC130) which is based on a 130 nm CMOS technology. The chip consistsof an analog Front End built up of 256 channels, each with a preamplifier and a discriminatorfor converting the analog sensor readout into a binary response.  The preamplifier of theABC130 was designed to have a gain of  90 − 95 $\frac{mV}{fC}$. First laboratory measurements with the built-in control circuits have shown a gain of < 75 $\frac{mV}{fC}$. In the course of this thesis a test beam campaign was undertaken to measure the gain in an unbiased system under realisticconditions.  The obtained gain varied from ≈ 90 $\frac{mV}{fC}$ to  ≈ 100 $\frac{mV}{fC}$.  With this, the valuesobtained by the test beam campaign are within the specifications. In order to perform the test beam campaign with optimal efficiency, a complete overhaulof the data acquisition framework used for the EUDET type test beam telescopes wasnecessary. The new version is called EUDAQ 2.0. It is designed to accommodate deviceswith different integration times such as LHC-type devices with an integration time of only25 ns, and devices with long integration times such as the MIMOSA26 with an integrationtime of 114.5 μs. To accomplish this a new synchronization algorithm has been developed.It gives the user full flexibility on the means of synchronizing their own data stream with thesystem. Beyond this, EUDAQ 2.0 also allows user specific encoding and decoding of datapackets. This enables the user to minimize the data overhead and to shift more computationtime to the offline stage.  To reduce the network overhead EUDAQ 2.0 allows the user tostore data locally. The merging is then postponed to the offline stage.
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000318777 7001_ $$0P:(DE-H253)PIP1002535$$aGarutti, Erika$$b1$$eThesis advisor
000318777 7001_ $$0P:(DE-H253)PIP1003410$$aMnich, Joachim$$b2$$eThesis advisor$$udesy
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