tipp2014

tipp2014@nikhef.nl

1261 discussions

[Tipp2014] [Indico] New abstract submission: Mr. SOLTVEIT, Hans Kristian
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to Mr. SOLTVEIT, Hans Kristian: === Dear Hans Kristian Soltveit, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/335/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: Mr. SOLTVEIT, Hans Kristian Submitted on: 28 February 2014 12:12 Title: Multi-Gigabit Wireless Data Transfer for Tracker Readout Systems Abstract content State-of-the-art tracking detector systems as the ATLAS silicon micro-strip tracker will after the upgrade in 2022, require an overall readout bandwidth between 50 and 100 Tb/s. To allow such a highly granular tracker to contribute to the first level trigger decision or event filtering, a fast readout system with a tremendous bandwidth is therefore essential. With up to 9 GHz of continous license free bandwidth allocated worldwide centerd around 60 GHz, a fast readout system using a wireless data transfer at that carrier frequency becomes feasible. A prototype transceiver at 60 GHz with 9 GHz bandwidth is currently under development at University of Heidelberg using the IBM 0.13μm SiGe HBT BiCMOS process. The design is based on the well known superheterodyne transceiver architecture. The targeted data rate for our first prototype is 4.5 gigabit per second over a distance of 20 cm. The Multi-Gigabit transceiver system, its individual blocks and key issues of the system design will be explained in detail in this talk. Summary Primary Authors: Mr. SOLTVEIT, Hans Kristian (Ruprecht-Karls-Universitaet Heidelberg (DE)) <soltveit(a)physi.uni-heidelberg.de> Co-authors: WIEDNER, Dirk (Ruprecht-Karls-Universitaet Heidelberg (DE)) <dirk.wiedner(a)cern.ch> SCHOENING, Andre (Ruprecht-Karls-Universitaet Heidelberg (DE)) <schoning(a)mail.desy.de> Abstract presenters: Mr. SOLTVEIT, Hans Kristian Track classification: Experiments: 2a) Experiments & Upgrades Data-processing: 3a) Front-end Electronics Data-processing: 3b) Trigger and Data Acquisition Systems Presentation type: Oral Comments:

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[Tipp2014] [Indico] New abstract submission: UENO, Kazuki
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to UENO, Kazuki: === Dear Kazuki Ueno, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/334/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: UENO, Kazuki Submitted on: 28 February 2014 11:45 Title: ROESTI: A Front-end Electronics for Straw Tube Tracker in COMET Experiment Abstract content The COMET experiment at J-PARC aims to search for the charged lepton flavor violating process of neutrinoless $\mu$-e conversion with an improvement of a sensitivity by a factor of 10000 to the current limit. When the $\mu$-e conversion occurs, almost all the energy of the muon mass is carried out by the electron which is expected to have the monochromatic energy of about 105 MeV. In order to achieve the goal sensitivity, the measurement of the electron with momentum resolution of better than 200 keV/$c$ is needed. We plan to use a straw tube tracker as an electron detector, which can reduce multiple scattering effect strongly. To read out the signal from the tracker precisely, an optimal front-end electronics is also needed, and we have developed the readout electronics board called ROESTI. The ROESTI requires gain of about 1 V/pC due to the minimum charge from the tracker, timing resolution of ns order due to the position resolution and the drift velocity of the tracker, and pileup capability due to the hit rate of 100 kHz for 5$\times$10$^{9}$ $\mu$/s. We should also consider the number of readout channels, power consumption, and space limitation. Based on these requirements, we have designed ROESTI which contains all the front-end processes; preamplification, pulse-shaping, discrimination, and digitization, and all function is controlled through a local bus by a FPGA-based readout controller. We have developed the ROESTI prototype and evaluated the performance. In this presentation, we report the current status of the ROESTI prototype. Summary Primary Authors: Dr. UENO, Kazuki (KEK) <kazuueno(a)post.kek.jp> Co-authors: Mr. HAYASHI, Tatsuya (Osaka University) <t-hayashi(a)kuno-g.phys.sci.osaka-u.ac.jp> Dr. IKENO, Masahiro (KEK) <ikeno(a)post.kek.jp> Prof. MIHARA, Satoshi (KEK) <satoshi.mihara(a)kek.jp> Dr. NISHIGUCHI, Hajime (KEK) <hajime.nishiguchi(a)kek.jp> Mr. OKAMOTO, Keita (Osaka University) <k-okamoto(a)kuno-g.phys.sci.osaka-u.ac.jp> Prof. TANAKA, Manobu (KEK) <tanakam(a)post.kek.jp> Dr. UCHIDA, Tomohisa (KEK) <uchida(a)post.kek.jp> Abstract presenters: Dr. UENO, Kazuki Track classification: Data-processing: 3a) Front-end Electronics Presentation type: Oral Comments:

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[Tipp2014] [Indico] New abstract submission: MESSINA, Andrea
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to MESSINA, Andrea: === Dear Andrea Messina, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/333/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: MESSINA, Andrea Submitted on: 28 February 2014 11:27 Title: The GAP Project - GPU for Realtime Applications in High Level Trigger and Medical Imaging Abstract content The aim of the GAP project is the deployment of Graphic Processing Units (GPUs) in real-time applications, ranging from online event selection (trigger) in high energy physics (HEP) experiments to medical imaging reconstruction. The final goal of the project is to demonstrate that GPUs have a positive impact in sectors different for rate, bandwidth, and computational intensity. The relevant aspects under study are the analysis of the latency of the system, the optimisation of the computational algorithms, and the integration with the data acquisition system. As a benchmark application we consider the trigger algorithms of two HEP experiments: NA62 and Atlas, different for event complexity and processing latency requirements. In particular we discuss how specific algorithms can be parallelized and thus benefit from the implementation on the GPU architecture, in terms of increased execution speed and more favourable dependency on the complexity of the analyzed events. Such improvements are particularly relevant for the foreseen LHC luminosity upgrade where highly selective algorithms will be crucial to maintain a sustainable trigger rate with the many multiple pp interactions per bunch crossing. We give details on how these devices are integrated in typical trigger systems and benchmark their performances. GPUs can provide a feasible solution also to accelerate the reconstruction of medical images. We discuss the implementation of new computational intense algorithms boosting the performances of Nuclear Magnetic Resonance and Computed Tomography. The deployment of GPUs can significantly reduce the processing time, making it suitable for the use in realtime diagnostic. Summary In this contribution we report on the activity of the GAP project, which aims to investigate the deployment of Graphic Processing Units (GPU) in different context of realtime scientific applications. The different areas of interest span across various rates of data processing, bandwidth and computational intensity of the executed algorithms. In this contribution we focus in particular on the applications of GPUs in asynchronous systems such as software trigger systems of particle physics experiment, and reconstruction of nuclear magnetic resonance images. All these application can benefit from the implementation on the massively parallel architecture of GPUs, optimizing different aspects. As a first application we discuss how specific trigger algorithms can be naturally parallelized and thus benefit from the implementation on the GPU architecture, in terms of execution speed and complexity of the analyzed events. Two benchmark application environment under investigation are the NA62 and Atlas experiments at CERN. The NA62 experiment aims at the measurement of ultra-rare kaon decays, recording data from the SPS high intensity hadron beam. A selective trigger, based on sequential hardware and software layers, is very important in order to identify in realtime interesting events produced at the level of 1/10-10. The GPUs can be exploited to build offline reconstruction quality trigger primitives, that allow the definition of highly pure and efficient selection criteria. Even if the NA62 collaboration is considering the application of GPUs both in the hardware and software trigger, in this contribution we focus on their implementation on this latter, devoted to reduce the data collection rate from 1 MHz to ~10 kHz. We discuss the benefits achievable from the implementation on GPU of the ring reconstruction algorithms in the NA62 RICH detector and tracking spectrometer. In both cases innovative algorithms have been designed to specifically benefit from the massive parallelism of the GPU architecture. The Atlas experiment register data from the LHC pp collisions through an hybrid multi-stage trigger. A first synchronous level is based on custom electronics, while the subsequent is asynchronous and based on software algorithm ran on commodity PC farm. The benchmark activity we are carrying out involves the software trigger algorithms used for muon reconstruction in the detector. This is based on the execution for a large number of times of the same algorithms that reconstruct and match segments of particle trajectories in the detector, hence can benefit from a massively parallel execution on GPUs. We will discuss in details the implementation of such algorithms on a GPU based system. We will characterize the performance of this new implementation, and benchmark it against the present ATLAS muon algorithm performances. The integration of the GPU within the current data acquisition system is done through a server-client structure [1] that can manage different tasks and their execution on a given device, such as the GPU. This element is flexible, able to deal with different computation devices, and is adding almost no overhead on the total latency of the algorithm execution. With the help of this structure it is possible to isolate the muon trigger algorithm itself, and optimize it for the execution on GPU. This will imply the translation to the CUDA programming language and the optimization of the different task that can be naturally parallelized. In such a way the dependency of the execution time on the complexity of the processed events will be reduced. A similar approach has been investigated in the past for the deployment of GPUs in different Atlas trigger algorithms with promising results [2]. The evolution of the foreseen Atlas trigger system, that will merge the higher level trigger layers in a unique software processing stage, can take event more advantage from the use of GPUs. More complex algorithm, with offline- like resolution can be implemented on a thousand-core device with significant speedup factors. The timing comparison between the serial and the parallel implementation of the trigger algorithm is done on the data collected in the past year, and also on simulated data that reproduces the foreseen data taking conditions with the LHC luminosity upgrade, with increased number of multiple interactions in the collisions. A similar improvement can be obtained exploiting GPU in medical imaging. This diagnostic techniques, as the Nuclear Magnetic Resonance (NMR) allows to visualize images of the body part through information on diffusion of water molecules. The most advanced elaboration techniques are based on calculation of ~1M non-linear functions, naturally parallelizable and computationally demanding algorithms. In this project we are focusing on the kurtosis diffusion method K [3], that currently takes ~20 hours to precisely reconstruct a brain image. These algorithms, currently implemented in Matlab, can be converted to a parallel version for GPU thanks to available compatibility libraries. Performance measurements will be presented on the parallel implementation of the image reconstruction algorithms and of the Monte Carlo simulation techniques. [1] The client-server structure is obtained using APE, an Atlas tool developed independently from this project. [2] D. Emeliyanov, J. Howard, J. Phys.: Conf. Ser. 396 012018, 2012. [3] J.H. Jensen, J.A. Helpern, NMR Biomed; 23 (7): 698-710, 2010. Primary Authors: MESSINA, Andrea (CERN) <andrea.messina(a)cern.ch> BAUCE, Matteo (Universita e INFN, Roma I (IT)) <matteo.bauce(a)cern.ch> GIAGU, Stefano (Universita e INFN, Roma I (IT)) <stefano.giagu(a)cern.ch> RESCIGNO, Marco (Universita e INFN, Roma I (IT)) <marco.rescigno(a)cern.ch> LAMANNA, Gianluca (Sezione di Pisa (IT)) <gianluca.lamanna(a)cern.ch> FIORINI, Massimiliano (Universita di Ferrara (IT)) <massimiliano.fiorini(a)cern.ch> PINZINO, Jacopo (Sezione di Pisa (IT)) <jacopo.pinzino(a)cern.ch> CORVO, Marco (Universita e INFN (IT)) <marco.corvo(a)cern.ch> CAPUANI, Silvia (CNR) <silvia.capuani(a)roma1.infn.it> PALOMBO, Marco (sapienza universita di roma) <marco.palomboi(a)roma1.infn.it> Dr. DI DOMENICO, Giovanni (Universita' di Ferrara) <didomenico(a)fe.infn.it> Co-authors: Abstract presenters: MESSINA, Andrea Track classification: Data-processing: 3b) Trigger and Data Acquisition Systems Technology transfer: 5b) Health and healthcare Presentation type: Oral Comments:

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[Tipp2014] [Indico] New abstract submission: GASCON, David
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to GASCON, David: === Dear David Gascon, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/332/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: GASCON, David Submitted on: 28 February 2014 11:12 Title: Performance of FlexToT Time Based PET Readout ASIC for Depth of Interaction Measurements Abstract content This work discusses the capability of a time based readout ASIC, the so-called FlexToT ASIC, to perform Depth of Interaction (DOI) measurements. In particular we will analyse the performance of the ASIC with a Phoswich PET module. FlexToT ASIC is optimized for readout of common cathode Silicon Photo- Multipliers arrays with direct coupling and individual anode voltage control. FlexToT presents the following features: wide dynamic range, high speed, low input impedance, multi channel, low power and separated timing and charge signal output. It has 16 independent outputs for energy, a single fast timing output and pile-up detection. We will present experimental results on identification of the signal of different crystals (BGO and LYSO) based on timing and energy signals. Summary This work discusses the capability of a time based readout ASIC, the so-called FlexToT ASIC, to perform Depth of Interaction (DOI) measurements. In particular we will analyze the performance of the ASIC with a Phoswich PET module. FlexToT ASIC is optimized for readout of common cathode Silicon Photo- Multipliers arrays with direct coupling and individual anode voltage control. FlexToT presents the following features: wide dynamic range, high speed, low input impedance, multi channel, low power and separated timing and charge signal output. It has 16 independent outputs for energy, a single fast timing output and pile-up detection. FlexToT ASIC has 16 independent outputs for energy aa single fast timing output and pile-up detection. The low jitter current mode processing together with a configurable differential current mode logic (CML) output provides a timing signal suitable for Time of Flight (TOF) measurements. Each channel delivers a digital output of a Time Over Threshold (TOT) type with a pulse width proportional to peak current (charge) input. We will present experimental results on the identification of interactions on different crystals (BGO and LYSO) combining time and energy measurements. Figure 1 shows preliminary results on FlexToT capability for Phoswich operation. The information provided by time and energy channels of FlexToT seems to be sufficient to discriminate signals of GSO and LYSO crystals excited by a Na22 source.![Figure 1. Response of time and energy channels of FlexToT for GSO and LYSO crystals excited by a Na22 source.][1] [1]: https://drive.google.com/file/d/0B4RDavsBkZtEVkpxNnF2V3ZVa0k/edit?usp=shari… Primary Authors: GASCON, David (University of Barcelona (ES)) <david.gascon(a)cern.ch> TRENADO GARCIA, Juan (University of Barcelona (ES)) <jtrenado(a)ecm.ub.es> Co-authors: GRACIANI DIAZ, Ricardo (University of Barcelona (ES)) <graciani(a)ecm.ub.edu> MARIN, Jesus (Centro de Investigaciones Energ. Medioambientales y Tecn. - (ES) <jesus.marin(a)ciemat.es> PEREZ-MORALES, Jose Manuel (C) <jose.manuel.perez-morales(a)cern.ch> SANUY CHARLES, Andreu (University of Barcelona (ES)) <asanuy(a)ecm.ub.edu> Dr. CASANOVA, Raimon (University of Barcelona) <rcasanova(a)ecm.ub.edu> Mr. SANCHEZ, David (University of Barcelona) <dsanchez(a)ecm.ub.edu> Abstract presenters: GASCON, David TRENADO GARCIA, Juan Track classification: Technology transfer: 5b) Health and healthcare Presentation type: --not specified-- Comments:

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[Tipp2014] TIPP 2014 abstract evaluation update
by Jan Visser 28 Feb '14

28 Feb '14

Dear Vincenzo and Jaap, The abstract submission will be closed tomorrow, Friday February 28 and we would like to give you some further information to complete the rating of all abstracts. We expect to have in your session 15 talks of 20 min, but we will only finalise this number after all abstracts have been rated. It is possible that we will increase the number of slots in your session as there is still room in the overall programme. Therefore, we ask you to propose for talks all the abstracts that meet your requirements for a talk, as we can always reward a poster presentation to the ones we cannot accept as a talk. Ideally, we would like to receive a ranking list to facilitate the assignment of the exact number of talks to each track. We would appreciate if you could complete the rating by Wednesday March 12. Thanks in advance for your kind cooperation, looking forward to seeing you in Amsterdam, Jan Visser on behalf of the local organising committee

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[Tipp2014] [Indico] New abstract submission: AHMAD, Salleh
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to AHMAD, Salleh: === Dear Salleh Ahmad, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/331/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: AHMAD, Salleh Submitted on: 28 February 2014 10:49 Title: Triroc: 64-channel SiPM read-out ASIC for PET/PET-ToF application Abstract content Triroc is the latest addition to SiPM readout ASICs family developed at Weeroc, a start-up company from the Omega microelectronics group of IN2P3/CNRS. This chip developed under the framework TRIMAGE European project which is aimed for building a cost effective tri-modal PET/MR/EEG brain scan. To ensure the flexibility and compatibility with any SiPM in the market, the ASIC is designed to be capable of accepting negative and positive polarity input signals. This 64-channel ASIC, is suitable for SiPM readout which requires high accuracy timing and charge measurements. Targeted applications would be PET prototyping with time-of-flight capability. Main features of Triroc includes high dynamic range ADC up to 2500 photoelectrons and TDC fine time binning of 40 ps. Triroc requires very minimal external components which means it is a good contender for compact multichannel PET prototyping. Triroc is designed by using AMS 0.35µm SiGe technology and submitted in March 2014. The detail design of this chip will be presented. Summary Triroc is a 64-channel silicon photomultiplier (SiPM) readout ASIC targeted for Time-of-Flight Positron Emission Tomograpy (TOF-PET) application. This chip developed for TRIMAGE project which is aimed for building a cost effective tri-modal PET/MR/EEG brain scan. The low-noise, DC-coupled front-end amplifiers of this ASIC accept both negative and positive input signals thus making it suitable for reading out any SiPM in the market. Moreover, individual input DC level adjustment is available for correcting the non-uniformity of SiPM gain. In each ASIC channel, the incoming signals will be sent into two different paths: for energy and time measurements. A variable gain semi-gaussien shaper is used for shaping the input signal in energy measurements. The energy conversion is handled by a 10-bit Wilkinson ADC. This ADC is a proven design and it is expected to be linear up to 2500 photoelectrons. Additionally, a charge trigger is available and can be used for events validation at required energy such as 511 keV. Signal from high speed input pre-amplifier is fed into a discriminator in order to provide a fast trigger for time measurements. A TDC module with coarse and 40 ps fine time is used to time-stamp this trigger. The digitized data are collected by the digital part which is also capable to validate 511 keV events and reject noise. Running at 80 Mhz, data will be transmitted through 4-bits parallel links. Other features on the digital side are zero suppress readout and TDC data compression. In all, the ASIC should be able to process up to 30k events per second. Triroc can be operated with minimal external components, since most of the components for SiPM readout are packed internally. This feature makes the ASIC is a good contender in compact multi-channel PET applications. Triroc is designed by using AMS 0.35µm SiGe technology and will be submitted in March 2014. Primary Authors: Dr. AHMAD, Salleh (Weeroc SAS) <salleh.ahmad(a)weeroc.com> Co-authors: Mr. FLEURY, Julien (Weeroc SAS) <julien.fleury(a)weeroc.com> Dr. DE LA TAILLE, Christophe (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <taille(a)in2p3.fr> Mrs. SEGUIN-MOREAU, Nathalie (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <nsmoreau(a)in2p3.fr> Mr. DULUCQ, Frederic (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <fdulucq(a)in2p3.fr> Dr. MARTIN-CHASSARD, Gisele (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <gisele.martin-chassard(a)in2p3.fr> Mr. CALLIER, Stephane (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <callier(a)omega.in2p3.fr> Mr. THIENPONT, Damien (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <damien.thienpont(a)in2p3.fr> Mr. RAUX, Ludovic (OMEGA-Ecole Polytechnique-CNRS/IN2P3) <luduvic.raux(a)in2p3.fr> Abstract presenters: Dr. AHMAD, Salleh Track classification: Data-processing: 3a) Front-end Electronics Technology transfer: 5b) Health and healthcare Presentation type: Oral Comments:

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[Tipp2014] TIPP2014: Acceptance of contribution
by tipp2014＠nikhef.nl 28 Feb '14

28 Feb '14

Dear Shruti Shrestha, We are pleased to inform you that your contribution: The High-Voltage Monolithic Active Pixel Sensor for the Mu3e Experiment has been accepted for an Oral presentation in the track Sensors: 1b) Semiconductor Detectors. We are looking forward to see you in Amsterdam, Niels van Bakel, On behalf of the track conveners and the local organizing committee

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[Tipp2014] [Indico] New abstract submission: LAMANNA, Gianluca
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to LAMANNA, Gianluca: === Dear Gianluca Lamanna, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/330/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: LAMANNA, Gianluca Submitted on: 28 February 2014 10:22 Title: GPU for online processing in low-level trigger Abstract content We describe a pilot project for the use of GPUs (Graphics processing units) in online triggering applications for high energy physics experiments. General-purpose computing on GPUs is emerging as a new paradigm in several fields of science, although so far applications have been tailored to the specific strengths of such devices as accelerator in offline computation. With the steady reduction of GPU latencies, and the increase in link and memory throughput, the use of such devices for real-time applications in high-energy physics data acquisition and trigger systems is becoming ripe. We will discuss in details the use of online parallel computing on GPU for synchronous low level trigger. We will show the results of two solution to reduce the data transmission latency: the first based on fast capture special driver and the second based on direct GPU communication using NaNet, a multi-standard, FPGA-based, low-latency, PCIe network interface card with GPUDirect capabilities. We will present preliminary results on a first field test in the CERN NA62 experiment. This study is done in the framework of GAP (GPU application project), a wider project intended to study the use of GPUs in real-time applications. Summary Primary Authors: LAMANNA, Gianluca (Sezione di Pisa (IT)) <gianluca.lamanna(a)cern.ch> Co-authors: SOZZI, Marco (Sezione di Pisa (IT)) <marco.sozzi(a)cern.ch> PIANDANI, Roberto (Sezione di Pisa (IT)) <roberto.piandani(a)cern.ch> FANTECHI, Riccardo (INFN - Sezione di Pisa) <fantechi(a)pi.infn.it> SANTONI, Cristiano (Universita e INFN (IT)) <cristiano.santoni(a)cern.ch> PICCINI, Mauro (INFN - Sezione di Perugia (IT)) <mauro.piccini(a)cern.ch> MESSINA, Andrea (CERN) <andrea.messina(a)cern.ch> BAUCE, Matteo (Universita e INFN, Roma I (IT)) <matteo.bauce(a)cern.ch> LONARDO, Alessandro (Universita e INFN, Roma I (IT)) <alessandro.lonardo(a)cern.ch> VICINI, Piero (INFN Rome Section) <piero.vicini(a)roma1.infn.it> BIAGIONI, Andrea (INFN) <andrea.biagioni(a)roma1.infn.it> FIORINI, Massimiliano (Universita di Ferrara (IT)) <massimiliano.fiorini(a)cern.ch> COTTA RAMUSINO, Angelo (Universita di Ferrara (IT)) <angelo.cotta.ramusino(a)cern.ch> CHIOZZI, Stefano (Universita di Ferrara (IT)) <chiozzi(a)fe.infn.it> GIANOLI, Alberto (Universita di Ferrara (IT)) <alberto.gianoli(a)cern.ch> Dr. NERI, Ilaria (University of Ferrara) <ilaria.neri(a)fe.infn.it> Dr. PAOLUCCI, Pier Stanislao (INFN Roma) <pier.paolucci(a)roma1.infn.it> Dr. SIMULA, Francesco (INFN Roma) <francesco.simula(a)roma1.infn.it> Abstract presenters: LAMANNA, Gianluca Track classification: Data-processing: 3b) Trigger and Data Acquisition Systems Data-processing: 3c) Embedded software Presentation type: Oral Comments:

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[Tipp2014] [Indico] New abstract submission: ORFANELLI, Stella
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to ORFANELLI, Stella: === Dear Stella Orfanelli, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/329/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: ORFANELLI, Stella Submitted on: 28 February 2014 10:10 Title: Design of CMS Beam Halo Monitor system Abstract content A fast and directional monitoring system for the CMS experiment is designed to provide an online, bunch-by-bunch measurement of beam background induced by beam halo interactions, separately for each beam. The background detection is based on Cherenkov radiation produced in synthetic fused silica read out by a fast, UV sensitive photomultiplier tube. Twenty detector units per end will be azimuthally distributed around the rotating shielding of CMS, covering ~408 cm2 at 20.6m from the interaction point, at a radius of ~180 cm. The directional and fast response of the system allows the discrimination of the background particles from the dominant flux in the cavern induced by pp collision debris, produced within the 25 ns bunch spacing. A robust multi-layered shielding will enclose each detector unit to protect the photomultiplier tube from the magnetic field and to eliminate the occupancy from low energy particles. The design of the front-end units is validated by experimental results. An overview of the new system to be integrated in CMS during the current shutdown of LHC will be presented, and its perspective for monitoring in High Luminosity LHC. Summary Primary Authors: ORFANELLI, Stella (National Technical Univ. of Athens (GR)) <styliani.orfanelli(a)cern.ch> Co-authors: DABROWSKI, Anne (CERN) <anne.evelyn.dabrowski(a)cern.ch> STICKLAND, David Peter (Princeton University (US)) <david.peter.stickland(a)cern.ch> TOSI, Nicolo (Universita e INFN (IT)) <nicolo.tosi(a)cern.ch> Dr. FABBRI, Fabrizio (Universita e INFN (IT)) <fabbri(a)bo.infn.it> RUSACK, Roger (University of Minnesota (US)) <roger.rusack(a)cern.ch> FINKEL, Alexey (University of Minnesota (US)) <alexeyfinkel01(a)gmail.com> MONTANARI, Alessandro (INFN-Bologna) <alessandro.montanari(a)bo.infn.it> LOOS, Robert (CERN) <robert.loos(a)cern.ch> Abstract presenters: ORFANELLI, Stella Track classification: Experiments: 2a) Experiments & Upgrades Presentation type: Oral Comments:

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[Tipp2014] [Indico] New abstract submission: GALLORINI, Stefano
by noreply-indico-team＠cern.ch 28 Feb '14

28 Feb '14

The following email has been sent to GALLORINI, Stefano: === Dear Stefano Gallorini, The submission of your abstract has been successfully processed. Abstract submitted: <https://indico.cern.ch/event/192695/call-for- abstracts/my-abstracts>. Status of your abstract: <https://indico.cern.ch/event/192695/call- for-abstracts/328/>. See below a detailed summary of your submitted abstract: Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics Submitted by: GALLORINI, Stefano Submitted on: 28 February 2014 10:01 Title: Many-core studies on pattern-recognition in the LHCb experiment Abstract content The LHCb experiment is entering in its upgrading phase, with its detector and read-out system re-designed to cope with the increased LHC energy after the long shutdown of 2018. In this upgrade, a trigger-less data acquisition is being developed to read-out the full detector at the bunch-crossing rate of 40 MHz. In particular, the High Level Trigger (HLT) system, where the bulk of the trigger decision is implemented via software on a CPU farm, has to be heavily revised. Since the small LHCb event size (about 100 kB after the upgrade), many-core architectures such as General Purpose GPU (GPGPU) and multi-core CPUs can be used to process many events in parallel for real-time selection, and may offer a solution for reducing the cost of the HLT farm. Track reconstruction and vertexing are the more time-consuming applications running in HLT and therefore are the first to be ported on many-core. In this talk we discussed the studies ongoing in LHCb for implementing pattern-recogniton algorithms for the Velo detector on many-core systems. We present our solution for porting the existing Velo tracking algorithm (FastVelo) on GPGPU, and we show the achieved performance. We plan to test the parallelized version of FastVelo during the data-taking in 2015 and assess the impact of the many-core solution on the HLT infrastructure. We discuss also other tracking algorithms in view of the upgrade and their preliminary performaces. Summary Primary Authors: GALLORINI, Stefano (Universita e INFN (IT)) <stefano.gallorini(a)cern.ch> Co-authors: LUCCHESI, Donatella (Universita e INFN (IT)) <donatella.lucchesi(a)cern.ch> Mr. GIANELLE, Alessio (Universita e INFN (IT)) <alessio.gianelle(a)pd.infn.it> CORVO, Marco (INFN) <corvo(a)pd.infn.it> COLLAZUOL, Gianmaria (U) <giancoll(a)cern.ch> SESTINI, Lorenzo (Universita e INFN (IT)) <lorenzo.sestini(a)cern.ch> LUPATO, Anna (Universita di Ferrara (IT)) <anna.lupato(a)cern.ch> NEUFELD, Niko (CERN) <niko.neufeld(a)cern.ch> CAMPORA PEREZ, Daniel Hugo (CERN) <daniel.hugo.campora.perez(a)cern.ch> VILASIS CARDONA, Xavier (University of Barcelona (ES)) <xavier.vilasis.cardona(a)cern.ch> Abstract presenters: GALLORINI, Stefano Track classification: Data-processing: 3b) Trigger and Data Acquisition Systems Presentation type: Oral Comments:

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