The following email has been sent to ABUHOZA, Alhussain:
===
Dear Alhussain abuhoza,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=79&confId=192695>.
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Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: ABUHOZA, Alhussain
Submitted on: 29 January 2014 15:13
Title: Construction and commissioning of a setup to study ageing
phenomena in high rate gas detectors
Abstract content
A very accurate apparatus has been constructed and commissioned at the GSI detector laboratory, which will be dedicated for many objectives. Among these objectives; investigation of the ageing phenomena of high rate gaseous detectors, the ageing influences of the construction materials of the gaseous detectors, long term monitoring of gaseous detectors tolerance, planned to be used in The Compressed Baryonic Matter (CBM) experiment at the future Facility for Antiproton and Ion Research (FAIR) in Darmstadt, Germany. It is very important, in ageing studies, to sense the detector degradation, if any, in reasonable time period and with a particle rate comparable to that in real experiments. In order to reach the envisaged accuracy, several optimizations have been implemented over the design of the used counters, the setup approach and automation and the gas system.
In this article, details of the experimental setup, the systematic optimization tests, studies of ageing and anti-ageing manifestations, and results of the influence of different construction materials will be presented.
Summary
Primary Authors:
ABUHOZA, Alhussain (GSI) <a.abuhoza(a)gsi.de>
Co-authors:
Dr. BISWAS, Saikat (GSI) <s.biswas(a)gsi.de>
FRANKENFELD, Uli (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) <u.frankenfeld(a)gsi.de>
Dr. SCHMIDT, Christian Joachim (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) <c.j.schmidt(a)gsi.de>
SCHMIDT, Hans Rudolf (Eberhard-Karls-Universitaet Tuebingen (DE)) <hans-rudolf.schmidt(a)uni-tuebingen.de>
HEHNER, Joerg Lothar (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) <j.hehner(a)gsi.de>
Abstract presenters:
ABUHOZA, Alhussain
Track classification:
Sensors: 1c) Gaseous Detectors
Presentation type: --not specified--
Comments:
The following email has been sent to LI, Qiuju:
===
Dear qiuju li,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=78&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: LI, Qiuju
Submitted on: 29 January 2014 15:07
Title: Pre-research of Front-end readout electronics system for APD
detectors for synchrotron radiation
Abstract content
Since many types of the silicon avalanche photodiode (Si-APD) detector have been developed for synchrotron X-ray experiments on nuclear resonant scattering, a readout electronics system scheme is introduced which includes front-end electronics for amplification, shaping circuit, analog to digital converter and data processing and so on. The designing of the pre-amplifier is described. The programs of front-end electronics are present which includes two types, one is based on peak value readout, and another is based on waveform readout. The two programs's differents are discussed.
Summary
Front-end, readout electronics system, APD detectors, synchrotron radiation
Primary Authors:
LI, Qiuju (I) <liqj(a)ihep.ac.cn>
Co-authors:
Dr. LI, Zhenjie (phD) <lizj(a)ihep.ac.cn>
Dr. ZHOU, Yf (phD) <zhouyf(a)ihep.ac.cn>
Dr. ZHANG, Y (ph.D) <yanzhang(a)ihep.ac.cn>
Abstract presenters:
LI, Qiuju
Track classification:
Data-processing: 3a) Front-end Electronics
Presentation type: --not specified--
Comments:
The following email has been sent to AIELLI, Giulio:
===
Dear Giulio Aielli,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=77&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: AIELLI, Giulio
Submitted on: 29 January 2014 15:05
Title: A study for the ATLAS RPC system upgrade in view of the High
Luminosity (HL) LHC
Abstract content
The architecture of the present trigger system in the ATLAS muon barrel was designed according to a reference luminosity of 1034 cm-2 s-1 with a safety factor of 5 with respect to the simulated background rates, confirmed by the 2012 data.
In the HL-LHC conditions, we expect a luminosity of 5x1034 cm-2 s-1 and a rate about an order of magnitude higher than the present one. This, while boosting the demand of trigger performance to increase the fake rejection, the muon momentum selectivity and coverage, affects the robustness against the ageing effects. This scenario leaves the present RPC muon trigger without adequate safety margins and suggests an appropriate upgrade plan, involving both the detector, the trigger and readout electronics.
We present a study for an upgrade of the ATLAS RPC system, under evaluation by the ATLAS collaboration, conceived to maintain full efficiency for the 20 years future operation scheduled. The upgrade consists mainly in installing an additional layer of new generation RPCs in the inner barrel. This will increase the redundancy and the acceptance, now reduced to 70% due to the barrel toroid magnets and services. The present RPC system performances will also benefit of a new readout electronics foreseen to cope with the upgraded ATLAS DAQ.
A non-negligible side benefit of this upgrade scheme is providing ATLAS with good TOF capabilities: a prompt time resolution of few hundreds of ps, 10 m lever arm and four independent measurements will extend the ATLAS potential for new physics discoveries.
Summary
Primary Authors:
AIELLI, Giulio (Universita e INFN Roma Tor Vergata (IT)) <giulio.aielli(a)cern.ch>
Co-authors:
Abstract presenters:
AIELLI, Giulio
Track classification:
Sensors: 1c) Gaseous Detectors
Experiments: 2a) Experiments & Upgrades
Presentation type: --not specified--
Comments:
The following email has been sent to Dr. SALVATORE, Fabrizio:
===
Dear Fabrizio Salvatore,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=76&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: Dr. SALVATORE, Fabrizio
Submitted on: 29 January 2014 14:06
Title: Associative Memory computing power and its simulation.
Abstract content
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed to perform “pattern matching” at very high speed. Since each AM chip stores a data base of 130000 pre-calculated patterns and large numbers of chips can be easily assembled together, it is possible to produce huge AM banks. Speed and size of the system are crucial for real-time High Energy Physics applications, such as the ATLAS Fast TracKer (FTK) Processor. Using 80 million channels of the ATLAS tracker, FTK finds tracks within 100 micro seconds.
The simulation of such a parallelized system is an extremely complex task if executed in commercial computers based on normal CPUs. The algorithm performance is limited, due to the lack of parallelism, and in addition the memory requirement is very large. In fact the AM chip uses a content addressable memory (CAM) architecture. Any data inquiry is broadcast to all memory elements simultaneously, thus data retrieval time is independent of the database size. The great computing power is also supported by a very powerful I/O. Each incoming hit reaches all the patterns in the AM system within the same clock cycle (10 ns).
We report on the organization of the simulation into multiple jobs to satisfy the memory constraints and on the optimization performed to reduce the processing time. Finally, we introduce the idea of a new computing unit based on a small number of AM chips that could be plugged inside commercial PCs as coprocessors. This unit would both satisfy the need for very large memory and significantly reduce the simulation time due to the use of the highly parallelized AM chips.
Summary
Primary Authors:
Dr. SALVATORE, Fabrizio (University of Sussex (GB)) <p.fabrizio.salvatore(a)googlemail.com>
Co-authors:
Abstract presenters:
Dr. SALVATORE, Fabrizio
Track classification:
Data-processing: 3c) Embedded software
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.
The following email has been sent to GARELLI, Nicoletta:
===
Dear Nicoletta Garelli,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=75&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: GARELLI, Nicoletta
Submitted on: 29 January 2014 14:02
Title: The ATLAS Tau Trigger for Run2 of the LHC
Abstract content
In the Run 2 of the Large Hadron Collider, the strategies for triggering will become more important than ever for physics analyses. The ATLAS tau trigger system combines information from the tracking and calorimetry detectors to identify the signature of tau lepton hadronic decays. Under the demanding, high luminosity environment of Run 2 at the LHC experiment (with instantaneous luminosities as large as 2x10^34 cm^-2s^-1), triggering on hadronic tau leptons requires faster reconstruction algorithms than ever before.
We present two new algorithms currently being deployed: a more precise and faster calorimeter energy cluster reconstruction, and a high-speed
tracking, along with their expected performance for the Run 2 experiment.
Simple triggers requiring single taus suffer from severe rate limitations, despite the sophisticated algorithms used in the tau identification. To address this limitation, higher efficiency triggers implementing topological selections are designed. Using these new developments, tau triggers will provide many opportunities to study new physics beyond the Standard Model, and to get precise measurements of the properties of the Higgs boson decaying to tau-leptons.
Finally, the expected feasibility of tau physics measurements in Run
2 will be presented.
Summary
Primary Authors:
GARELLI, Nicoletta (SLAC National Accelerator Laboratory (US)) <nicoletta.garelli(a)cern.ch>
Co-authors:
Abstract presenters:
GARELLI, Nicoletta
Track classification:
Data-processing: 3b) Trigger and Data Acquisition Systems
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.
The following email has been sent to Dr. SALVATORE, Fabrizio:
===
Dear Fabrizio Salvatore,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=74&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: Dr. SALVATORE, Fabrizio
Submitted on: 29 January 2014 14:00
Title: The Serial Link Processor for the Fast TracKer (FTK) processor
at ATLAS
Abstract content
The Associative Memory (AM) system of the FTK processor has been designed to perform pattern matching using the hit information of the ATLAS silicon tracker. The AM is the heart of the FTK and it finds track candidates at low resolution that are seeds for a full resolution track fitting. To solve the very challenging data traffic problem inside the FTK, multiple designs and tests have been performed. The currently proposed solution is named the “Serial Link Processor” and is based on an extremely powerful network of 2 Gb/s serial links.
This paper reports on the design of the Serial Link Processor consisting of the AM chip, an ASIC designed and optimized to perform pattern matching, and two types of boards, the Local Associative Memory Board (LAMB), a mezzanine where the AM chips are mounted, and the Associative Memory Board (AMB), a 9U VME board which holds and exercises four LAMBs.
We report also on the performance of a first prototype based on the use of a min@sic AM chip, a small but complete version of the final AM chip, built to test the new and fully serialized I/O. Also a dedicated LAMB prototype, named miniLAMB, with reduced functionalities, has been produced to test the mini@sic. The serialization of the AM chip I/O significantly simplified the LAMB design. We report on the tests and performance of the integrated system mini@sic, miniLAMB and AMB.
Summary
Primary Authors:
Dr. SALVATORE, Fabrizio (University of Sussex (GB)) <p.fabrizio.salvatore(a)googlemail.com>
Co-authors:
Abstract presenters:
Dr. SALVATORE, Fabrizio
Track classification:
Data-processing: 3c) Embedded software
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.
The following email has been sent to GARELLI, Nicoletta:
===
Dear Nicoletta Garelli,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=73&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: GARELLI, Nicoletta
Submitted on: 29 January 2014 13:55
Title: The Phase-1 Upgrade of the ATLAS First Level Calorimeter
Trigger
Abstract content
The level1 calorimeter trigger (L1Calo) of the ATLAS experiment has been operating effectively since the start of LHC data taking, and has played a major role in the discovery of the Higgs boson. To face the new challenges posed by the upcoming increases of the LHC proton beam energy and luminosity, a series of upgrades is planned for L1Calo. An
initial upgrade (Phase0) is scheduled to be ready for the start of the second LHC run in 2015, and a further more substantial upgrade (Phase1) is planned to be installed during the LHC shutdown expected in 2018. The calorimeter trigger aims to identify electrons, photons, taus and hadronic jets. It also determines total and missing transverse energy and can further analyse the event topology using a dedicated system incorporating information from both calorimeter and muon triggers.
This paper presents the Phase1 hardware trigger developments which exploit a tenfold increase in the available calorimeter data granularity when compared to that of the current system. The calorimeter signals will be received via optical fibers and distributed to two distinct processing systems. Those systems implement sliding window algorithms and quasi offline algorithms to achieve object reconstruction and identification. The algorithms are implemented on high density electronics boards which make use of recent
developments in high speed data transmission and FPGA technology. The presentation reviews the physics impact along with the current status of the hardware design and early prototypes and demonstrator boards.
Summary
Primary Authors:
GARELLI, Nicoletta (SLAC National Accelerator Laboratory (US)) <nicoletta.garelli(a)cern.ch>
Co-authors:
Abstract presenters:
GARELLI, Nicoletta
Track classification:
Data-processing: 3b) Trigger and Data Acquisition Systems
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.
The following email has been sent to Dr. SALVATORE, Fabrizio:
===
Dear Fabrizio Salvatore,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=72&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: Dr. SALVATORE, Fabrizio
Submitted on: 29 January 2014 13:54
Title: Initial Upgrade of the ATLAS Level 1 Calorimeter Trigger
Abstract content
The Level-‐1 calorimeter trigger (L1Calo) of the ATLAS experiment has been operating well since the start of LHC data taking, and played a major role in the Higgs boson discovery. To face the new challenges posed by the upcoming increases of the LHC proton beam energy and luminosity, a series of upgrades is planned for L1Calo. This paper presents the L1Calo upgrade program for the initial upgrade phase in 2013-‐14. The program includes substantial improvements to the analogue and digital signal processing to allow more sophisticated digital filters for energy and timing measurement, as well as compensate for pile-‐up and baseline shift effects. Two existing digital algorithm processor subsystems will receive substantial hardware and firmware upgrades to increase the real time data path bandwidth, allowing topological information to be transmitted and processed at level-‐1. An entirely new subsystem, the L1 topological processor, will receive real-‐time data from both the upgraded L1Calo and L1 muon trigger to perform trigger algorithms based on entire event topologies. The upgraded system presented is foreseen to operate for three years, after which a second, substantial upgrade phase is planned. The expected performance improvements are presented together with the upgraded hardware and firmware implementations. The status of the prototypes, integration and commissioning efforts are also reviewed.
Summary
Primary Authors:
Dr. SALVATORE, Fabrizio (University of Sussex (GB)) <p.fabrizio.salvatore(a)googlemail.com>
Co-authors:
Abstract presenters:
Dr. SALVATORE, Fabrizio
Track classification:
Data-processing: 3b) Trigger and Data Acquisition Systems
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.
The following email has been sent to Dr. SALVATORE, Fabrizio:
===
Dear Fabrizio Salvatore,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=71&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: Dr. SALVATORE, Fabrizio
Submitted on: 29 January 2014 13:50
Title: Evolution of the ReadOut System of the ATLAS experiment
Abstract content
The ReadOut System (ROS) is a central and essential part of the ATLAS DAQ
system. It receives and buffers data of events accepted by the first-level trigger from all subdetectors and first-level trigger subsystems. Event data are subsequently forwarded to the High-Level Trigger system and Event Builder via a 1 GbE-based network. The ATLAS ROS is completely renewed in view of the demanding conditions ex
pected during LHC Run 2 and Run 3, to replace obsolete technologies and space constraints require it to be compact. The new ROS will
consist of roughly 100 Linux-based 2U high rack mounted server PCs, each
equipped with 2 PCIe I/O cards and two four 10 GbE interfaces. The
FPGA-based PCIe I/O cards, developed by the ALICE collaboration, will be
configured with ATLAS-specific firmware, the so-called RobinNP firmware. They will provide the connectivity to about 2000 optical point-to-point links conveying the ATLAS event data. This dense configuration provides an excellent test bench for studying I/O efficiency and challenges in current COTS PC architectures with non-uniform memory and I/O access paths. In this paper we will report on the requirements for Run 2
and on design choices for a system complying with and possibly exceeding them, as well as discuss the results of performance measurements for different computer architectures, highlighting the effects of non-uniform resource distributions. Finally we will present the status of the project and outlook for operation in 2015.
Summary
Primary Authors:
Dr. SALVATORE, Fabrizio (University of Sussex (GB)) <p.fabrizio.salvatore(a)googlemail.com>
Co-authors:
Abstract presenters:
Dr. SALVATORE, Fabrizio
Track classification:
Data-processing: 3b) Trigger and Data Acquisition Systems
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.
The following email has been sent to GARELLI, Nicoletta:
===
Dear Nicoletta Garelli,
The submission of your abstract has been successfully processed.
Abstract submitted:
<https://indico.cern.ch/userAbstracts.py?confId=192695>.
Status of your abstract:
<https://indico.cern.ch/abstractDisplay.py?abstractId=70&confId=192695>.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology
and Instrumentation in Particle Physics
Submitted by: GARELLI, Nicoletta
Submitted on: 29 January 2014 13:47
Title: Towards a Level-1 tracking trigger for the ATLAS experiment
Abstract content
The future plans for the LHC accelerator allow, through a schedule of
phased upgrades, an increase in the average instantaneous luminosity
by a factor 5 with respect to the original design luminosity.
The ATLAS experiment at the LHC will be able to maximise the physics potential from this higher luminosity only if the detector, trigger and DAQ infrastructure are adapted to handle the sustained increase in particle production rates.
In this paper the changes expected to be required to the ATLAS detectors and trigger system to fulfill the requirement for working in such high luminosity scenario are described. The increased number of interactions per bunch crossing will result in higher occupancy in the detectors and increased rates at each level of the trigger system. The trigger selection will improve the selectivity partly from increased granularity for the sub detectors and the consequent higher resolution. One of the largest challenges will be the provision of tracking information at the first trigger level, which should allow a
large increase in the rejection power at this stage of the selection and yet still allow the full physics potential of the experiment to be fulfilled. In particular, the electroweak scale still requires to keep the thresholds on the transverse momenta of particles as low as possible and tracking will provide essential information that could be used to this aim as early as possible in the trigger chain.
Studies to understand the feasibility of such a system have begun, and
proceed in two directions: a fast readout for high granularity silicon detectors, and a fast pattern recognition algorithm to be applied just after the Front-End readout for specific sub detectors. Both existing, and novel technologies can offer solutions. The aim of these studies is to determine the parameter space to which this system must be adapted. The status of ongoing tests on specific hardware components crucial for this system to fully satisfy the ATLAS trigger requirements at very high luminosities and increase its potential are discussed.
Summary
Primary Authors:
GARELLI, Nicoletta (SLAC National Accelerator Laboratory (US)) <nicoletta.garelli(a)cern.ch>
Co-authors:
Abstract presenters:
GARELLI, Nicoletta
Track classification:
Data-processing: 3b) Trigger and Data Acquisition Systems
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ
collaboration and the presenter will be indicated by the ATLAS
speakers committee as soon as we receive information about its
status.