{"title":"Radiation tolerant conditioning electronics for vacuum measurements","authors":"N. Chatzigeorgiou, G. Pigny, P. Krakowski","doi":"10.22323/1.343.0026","DOIUrl":"https://doi.org/10.22323/1.343.0026","url":null,"abstract":"Vacuum in the arcs of the LHC is crucial to minimize beam – gas interactions and to assure thermal insulation of cryostats and helium distribution lines. Several hundred of sensors with their associated conditioning electronics are installed across the arcs for both beam and insulation vacuum measurements. Calculations predict that radiation levels will greatly increase during the HL-LHC era. Therefore, new radiation tolerant conditioning electronics for vacuum measurements are required to withstand such conditions. This paper describes the design of these new electronics, their qualification tests and implementation within the vacuum controls architecture foreseen during the long shutdowns of the LHC.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125398862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Thalmeier, H. Yin, H. Aihara, T. Aziz, S. Bacher, S. Bahinipati, E. Barberio, T. Baroncelli, T. Baroncelli, A. Basith, G. Batignani, A. Bauer, P. Behera, V. Bertacchi, S. Bettarini, B. Bhuyan, T. Bilka, F. Bosi, L. Bosisio, A. Bozek, F. Buchsteiner, G. Caria, G. Casarosa, M. Ceccanti, D. Červenkov, T. Czank, N. Dash, M. De Nuccio, Z. Doležal, F. Forti, M. Friedl, B. Gobbo, J. Grimaldo, K. Hara, T. Higuchi, C. Irmler, A. Ishikawa, H. Jeon, C. Joo, M. Kaleta, J. Kandra, N. Kambara, K. Kang, P. Kodyš, T. Kohriki, S. Koike, I. Komarov, M. Kumar, R. Kumar, W. Kun, P. Kvasnička, C. La Licata, K. Lalwani, L. Lanceri, J. Lee, S. Lee, J. Libby, T. Lueck, P. Mammini, A. Martini, S. Mayekar, G. Mohanty, T. Morii, K. Nakamura, Z. Natkaniec, Y. Onuki, W. Ostrowicz, A. Paladino, E. Paoloni, H. Park, K. Prasanth, A. Profeti, I. Rashevskaya, K. K. Rao, G. Rizzo, P. Resmi, M. Różańska, D. Sahoo, J. Sasaki, N. Sato, S. Schultschik, C. Schwanda, J. Stypuła, J. Suzuki, S. Tanaka, H. Tanigawa, G. Taylor, T. Tsuboyama, P. U
{"title":"Machine learning: hit time finding with a neural network","authors":"R. Thalmeier, H. Yin, H. Aihara, T. Aziz, S. Bacher, S. Bahinipati, E. Barberio, T. Baroncelli, T. Baroncelli, A. Basith, G. Batignani, A. Bauer, P. Behera, V. Bertacchi, S. Bettarini, B. Bhuyan, T. Bilka, F. Bosi, L. Bosisio, A. Bozek, F. Buchsteiner, G. Caria, G. Casarosa, M. Ceccanti, D. Červenkov, T. Czank, N. Dash, M. De Nuccio, Z. Doležal, F. Forti, M. Friedl, B. Gobbo, J. Grimaldo, K. Hara, T. Higuchi, C. Irmler, A. Ishikawa, H. Jeon, C. Joo, M. Kaleta, J. Kandra, N. Kambara, K. Kang, P. Kodyš, T. Kohriki, S. Koike, I. Komarov, M. Kumar, R. Kumar, W. Kun, P. Kvasnička, C. La Licata, K. Lalwani, L. Lanceri, J. Lee, S. Lee, J. Libby, T. Lueck, P. Mammini, A. Martini, S. Mayekar, G. Mohanty, T. Morii, K. Nakamura, Z. Natkaniec, Y. Onuki, W. Ostrowicz, A. Paladino, E. Paoloni, H. Park, K. Prasanth, A. Profeti, I. Rashevskaya, K. K. Rao, G. Rizzo, P. Resmi, M. Różańska, D. Sahoo, J. Sasaki, N. Sato, S. Schultschik, C. Schwanda, J. Stypuła, J. Suzuki, S. Tanaka, H. Tanigawa, G. Taylor, T. Tsuboyama, P. U","doi":"10.22323/1.343.0065","DOIUrl":"https://doi.org/10.22323/1.343.0065","url":null,"abstract":"At the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan, the double-sided silicon strip sub-detector of the Belle II experiment is read out by 1748 APV25 chips. FPGAs perform several calculations on the digitized signals. One of them will be \"Hit Time Finding\": the determination of the time and amplitude of the signal peaks of each event in real time using pre-programmed neural networks. This work analyses the possibility, precision and reliability of these calculations depending on various parameters.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123915643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a monolithic HR-CMOS sensor chip for the CLIC silicon tracker","authors":"I. Kremastiotis, R. Sune, Nuria Egidos Plaja","doi":"10.22323/1.343.0072","DOIUrl":"https://doi.org/10.22323/1.343.0072","url":null,"abstract":"The CLIC Tracker Detector (CLICTD) is a monolithic active pixel sensor targeted at the tracking detector of a future experiment at the Compact Linear Collider (CLIC). The chip features a matrix of 16×128 cells, each cell measuring 300×30 μm2. The cells are segmented in the long direction in order to maintain the benefits of the small collection electrode. In the digital logic, a simultaneous 8-bit Time of Arrival and 5-bit Time over Threshold measurement is performed. A 180 nm HR-CMOS Imaging Process was selected for the design of a chip that will meet the requirements of the tracker at CLIC. In this document, the CLICTD design and chip interface are presented.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126334194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Mangiagalli, G. Croci, M. Matteis, D. Tagnani, G. Corradi, F. Murtas, G. Gorini, A. Baschirotto
{"title":"Characterization of GEMINI, a 16-channels programmable readout interface for Triple-GEM detectors in 180nm CMOS","authors":"L. Mangiagalli, G. Croci, M. Matteis, D. Tagnani, G. Corradi, F. Murtas, G. Gorini, A. Baschirotto","doi":"10.22323/1.343.0165","DOIUrl":"https://doi.org/10.22323/1.343.0165","url":null,"abstract":"The recent advances in GEM detector development has led to the requirement of a custom readout to fully exploit the advantages of this technology. GEM detectors can be realized with various shapes, also irregular, and high number of channels. GEMINI has been specifically designed to work with Triple-GEM detectors and it integrates 16 channels to perform readout with both analog and digital signal with Time over Threshold. GEMINI also allows to set a different threshold for every channel to compensate channel inhomogeneity. This work compares simulations with lab measurements and presents results of the imaging of an X-ray source performed with GEMINI.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"349 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122764985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Gądek, Georges Blanchot, R. Gajanec, A. Honma, M. Kovács
{"title":"Front-end hybrids for the strip-strip modules of the CMS Outer Tracker Upgrade","authors":"T. Gądek, Georges Blanchot, R. Gajanec, A. Honma, M. Kovács","doi":"10.22323/1.343.0019","DOIUrl":"https://doi.org/10.22323/1.343.0019","url":null,"abstract":"The CMS Outer Tracker planned for the HL-LHC Upgrade contains strip-strip and pixel-strip \u0000silicon modules. Each of them includes two high-density front-end hybrid circuits, equipped with \u0000flip-chip ASICs, passives, connectors and mechanical structures. Several strip-strip hybrid \u0000prototypes have been produced using the CBC2 front-end ASIC. Feedback from these \u0000developments helped improving the hybrid’s testability and the production yield. The availability \u0000of the concentrator ASIC’s footprint and of the new CBC3 front-end ASIC enables the design of \u0000all strip-strip hybrid variants. In this work, the development milestones and the final designs are \u0000presented together with chosen solutions.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115920749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"First performance measurements of the Fast Tracker Real Time Processor at ATLAS","authors":"N. Biesuz","doi":"10.22323/1.343.0138","DOIUrl":"https://doi.org/10.22323/1.343.0138","url":null,"abstract":"Real time track reconstruction at hadron colliders plays an important role in selecting interesting events from the huge background while mitigating the effect of pile-up. The Fast Tracker, \u0000an upgrade to the current ATLAS trigger system, will feed the High Level Trigger with high \u0000quality tracks reconstructed over the entire detector at 100 kHz rate. The Fast Tracker system \u0000processes 64 eta-phi towers (partially overlapping), where each tower is processed by a dedicated asynchronous, data-driven pipeline. The combinatorial challenge inherent to tracking is \u0000solved with the use of Associative Memory ASICs that compare inner detector hits to millions of \u0000pre-calculated patterns simultaneously. The tracking problem within matched patterns is further \u0000simplified by using pre-computed linearized fitting constants and leveraging fast digital signal \u0000processing in modern commercial FPGAs. Half of the system has been produced and integration \u0000in ATLAS is proceeding to demonstrate functionality with real data and partial detector coverage. \u0000We show the first results on system performance studies. Tracks were reconstructed and validated \u0000with Fast Tracker functional simulation. The system integration in the ATLAS experiment is progressing through 2018 to reach stable track processing. These studies will continue by evaluating \u0000the Fast Tracker tracking resolution and latency on real data. Those measurements will allow \u0000optimization of the system improving its performance. We report results of this first important \u0000experience with data in preparation of the full Fast Tracker operational conditions in 2021.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"67 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123899136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Remote Control Unit of the LHC Injector Complex Beam Loss Monitoring System","authors":"E. C. Giraldo, W. Viganò, C. Zamantzas","doi":"10.22323/1.343.0070","DOIUrl":"https://doi.org/10.22323/1.343.0070","url":null,"abstract":"The strategy for beam set-up and machine protection of the accelerators at the European Organization for Nuclear Research (CERN) relies strongly on their Beam Loss Monitoring (BLM) systems. The BLM system of the CERN PS complex (PS, PS Booster and Linac4) was recently renovated. The upgrade aimed to extend the dynamic range in order to accept more types of detectors and to obtain a highly reconfigurable system. The new acquisition system has shown very promising results, and development is now concentrated to provide advanced remote diagnostics, set-up and monitoring features. In this context, a new remotely controlled module is under design, which will continuously survey a set of status parameters (power consumption, temperature, etc.). Additionally, by controlling an embedded current source, it will allow the analogue circuit of each channel to be compensated for component tolerances, noise and ageing.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Nodari, L. Caponetto, G. Galbit, S. Viret, S. Scarfi
{"title":"A 65 nm Data Concentration ASIC for the CMS Outer Tracker Detector Upgrade at HL-LHC","authors":"B. Nodari, L. Caponetto, G. Galbit, S. Viret, S. Scarfi","doi":"10.22323/1.343.0099","DOIUrl":"https://doi.org/10.22323/1.343.0099","url":null,"abstract":"The Concentrator Integrated Circuit (CIC) ASIC is a front-end chip for both Pixel-Strip (PS) andStrip-Strip (2S) modules of the future Phase-II CMS Outer Tracker upgrade at the HighLuminosity LHC (HL-LHC). It collects the digital data coming from eight upstream front-endchips (either MPAs or CBCs, depending on the module type), formats the signal in data packetscontaining the trigger information from eight bunch crossings and the raw data from eventspassing the first trigger level, and finally transmits them to the LpGBT unit. The design and itsimplementation in a 65 nm CMOS technology of the first prototype that integrates allfunctionalities for system level operation are presented in this contribution.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Gumiński, Wojciech Zabolotny, A. Byszuk, K. Poźniak
{"title":"Sorting of STS-XYTER2 data for microslice building for CBM experiment","authors":"M. Gumiński, Wojciech Zabolotny, A. Byszuk, K. Poźniak","doi":"10.22323/1.343.0143","DOIUrl":"https://doi.org/10.22323/1.343.0143","url":null,"abstract":"The article describes the architecture of the data sorting and aggregation module for the triggerless \u0000high energy physics experiment data acquisition. \u0000The described module is able to revert shifts in the input data order, which are introduced by the \u0000detector readout modules. The sorted data is aggregated into a single stream and then divided into \u0000packages containing samples acquired in consecutive time intervals. \u0000The presented article describes the usage of the heap sorting algorithm for restoring the correct \u0000data order. Data stream aggregation techniques, used in the presented module, are described. \u0000The paper contains a block diagram of the presented module and resource utilization summary \u0000generated after implementation.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130969461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Input Mezzanine Board for the Fast Tracker(FTK) at ATLAS","authors":"T. Mitani","doi":"10.22323/1.343.0055","DOIUrl":"https://doi.org/10.22323/1.343.0055","url":null,"abstract":"At LHC Run 2, which started operation in June 2015 at a center-of-mass energy of 13 TeV, the peak luminosity has exceeded 2×1034 cm−2s−1 and the LHC produce an average of 60 simultaneous collisions. The higher luminosity demands a more sophisticated trigger system with increased use of tracking information. The Fast Tracker (FTK) is an integral part of the trigger upgrade program for the ATLAS experiment. The FTK is a massively parallel hardware system using ASICs and FPGAs. It operates at the full Level-1 accepted rate of up to 100 kHz and provides full event track reconstruction for all tracks with pT > 1GeV with an average latency below 100 μs. The FTK Input Mezzanine Board is the input interface of the FTK system which performs full reconstruction of all clusters in the ATLAS Inner Detector. These proceedings report details of the functionality of the FTK Input Mezzanine Board and its status of installation and commissioning.","PeriodicalId":400748,"journal":{"name":"Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123580357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}