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@PHDTHESIS{Peschke:318777,
author = {Peschke, Richard},
othercontributors = {Garutti, Erika and Mnich, Joachim},
title = {{C}haracterisation of the {ATLAS} {ITK} {S}trips
{F}ront-{E}nd {C}hip and {D}evelopment of {EUDAQ} 2.0 for
the {EUDET}-{S}tyle {P}ixel {T}elescopes},
issn = {1435-8085},
school = {Universität Hamburg},
type = {Dr.},
address = {Hamburg},
publisher = {Verlag Deutsches Elektronen-Synchrotron},
reportid = {PUBDB-2017-01392, DESY-THESIS-2017-009},
series = {DESY-THESIS},
pages = {138},
year = {2017},
note = {Universität Hamburg, Diss., 2016},
abstract = {As 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.},
cin = {ATLAS},
cid = {I:(DE-H253)ATLAS-20120731},
pnm = {632 - Detector technology and systems (POF3-632)},
pid = {G:(DE-HGF)POF3-632},
experiment = {EXP:(DE-H253)LHC-Exp-ATLAS-20150101},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)29 / PUB:(DE-HGF)11},
doi = {10.3204/PUBDB-2017-01392},
url = {https://bib-pubdb1.desy.de/record/318777},
}