CERN-ACC-2015-0142.pdf (pdfa)

131 Pages·2015·7.68 MB·English

CERN-ACC-2015-0142
EuCARD-2
Enhanced European Coordination for Accelerator Research & Development
Scientific Monograph
Vol. 30 - A Novel Data Acquisition
System Based on Fast Optical Links and
Universal Readout Boards
Korcyl, Grzegorz (AGH University of Science and Technology)
01 June 2015
TheEuCARD-2EnhancedEuropeanCoordinationforAcceleratorResearch&
Developmentprojectisco-fundedbythepartnersandtheEuropeanCommissionunder
Capacities7thFrameworkProgramme,GrantAgreement312453.
ThisworkispartofEuCARD-2WorkPackage1: ManagementandCommunication
(MANCOM).
TheelectronicversionofthisEuCARD-2PublicationisavailableviatheEuCARD-2website
<http://eucard2.web.cern.ch/>orontheCERNDocumentServeratthefollowingURL:
<http://cds.cern.ch/search?p=CERN-ACC-2015-0142>
CERN-ACC-2015-0142
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Ph.D. Dissertation

Author:
Mgr Grzegorz Korcyl

Supervisor:
Prof. Dr Hab. Piotr Salabura

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Rozprawa Doktorska

Autor:
Mgr Grzegorz Korcyl

Promotor:
Prof. Dr Hab. Piotr Salabura

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Foremost I want to thank my supervisor Prof. Piotr Salabura. His great support and
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guidance allowed me to explore the field of technology in large physics experiments.
I also want to thank my foreign supervisors: Dr. Michael Traxler from GSI Darmstadt
and Prof. Wolfgang Kuehn from Justus(cid:45)Liebig Universitaet in Giessen.
Being a member of HADES and PANDA Collaborations, I want to thank all the
members for giving me the opportunity to be a part of those projects and sharing
their experience with me.
I gratefully acknowledge the founding support from the Foundation of Polish
Science and from the Jagiellonian University in Cracow.
This work would not be possible without my family and friends, therefore I want to
express my gratitude for their support.

Various scale measurement systems are composed of the sensors providing data
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through the data acquisition system to the archiving facility. The scale of such
systems is determined by the number of sensors that require processing and can
vary from few up to hundreds of thousands. The number and the type of sensors
impose several requirements on the data acquisition system like readout frequency,
measurement precision and online analysis algorithms. The most challenging
applications are the large scale experiments in nuclear and particle physics.
This thesis presents a concept, construction and tests of a modular and scalable,
tree(cid:45)structured architecture of a data acquisition system. The system is composed
out of two logical elements: endpoints which are the modules providing data and
hubs that concentrate the data streams from the endpoints and provide connectivity
with the rest of the system. Those two logical functions are realised by the base
modules called Trigger Readout Board (abbr. TRB) which feature basic
functionality: digitization of the signals, communication with other modules and
external networks, control and monitoring mechanisms. This set of functions can be
extended on the modules via a system of Add(cid:45)on boards that introduce new features
and allows to adapt the platform for various applications.
The key characteristics of TRB based system are: scalable, flexible, extensible and
reconfigurable. The scalability of the platform is realized by the hub components,
which allow to create tree structures with many layers, each opening new ports for
additional endpoints, without reducing the performance of the entire system. The
TRB boards are based on FPGAs, which are reconfigurable, programmable logic
devices. This approach results in a possible use of the same hardware module for
different functions with just a change of the firmware. It also allows to introduce
new functionalities over time. Together with the Add(cid:45)on system, the platform can
be relatively easily adapted to various applications and extended with new
elements.
The platform was developed inside the HADES Collaboration with significant
contribution from the author. The HADES detector was also the largest target
application and was used for extensive tests of the system. Several conducted
experiments and laboratory tests described in this thesis confirm the design and
allow to evaluate the system performance. The platform has also found application
in various other systems, one of them being the J(cid:45)PET medical imaging project also
described in this thesis.