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AIDA-2020

Latest additions:
2017-10-19
14:06
Ultra High Fluence Radiation Monitoring Technologies for the Future Circular Collider at CERN / Gorine, Georgi (CERN,EPFL) ; Pezzullo, Giuseppe (CERN) ; Mandic, Igor (JSI) ; Jazbec, Anže (JSI) ; Snoj, Luka (JSI) ; Capeans, Mar (CERN) ; Moll, Michael (CERN) ; Ravotti, Federico (CERN) ; Sallese, Jean-michel (EPFL)
AIDA-2020-SLIDE-2017-002.- Geneva : CERN, 2017 Fulltext: PDF;

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2017-10-18
09:35
Final design review of 130nm ASICs / De la Taille, Christophe (CNRS)
AIDA-2020-MS64.- Geneva : CERN, 2017 AIDA-2020, 64 Fulltext: PDF;

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2017-10-13
16:41
Depleted fully monolithic CMOS pixel detectors using a column based readout architecture for the ATLAS Inner Tracker upgrade / Wang, T. (Bonn U.) ; Barbero, M. (Marseille, CPPM) ; Berdalovic, I. (CERN) ; Bespin, C. (Bonn U.) ; Bhat, S. (Marseille, CPPM) ; Breugnon, P. (Marseille, CPPM) ; Caicedo, I. (Bonn U.) ; Cardella, R. (CERN) ; Chen, Z. (Marseille, CPPM) ; Degerli, Y. (IRFU, Saclay) et al.
Depleted monolithic active pixel sensors (DMAPS), which exploit high voltage and/or high resistivity add-ons of modern CMOS technologies to achieve substantial depletion in the sensing volume, have proven to have high radiation tolerance towards the requirements of ATLAS in the high-luminosity LHC era. Depleted fully monolithic CMOS pixels with fast readout architectures are currently being developed as promising candidates for the outer pixel layers of the future ATLAS Inner Tracker, which will be installed during the phase II upgrade of ATLAS around year 2025. [...]
arXiv:1710.00074; AIDA-2020-PUB-2017-004.- Geneva : CERN, 2017 Fulltext: PDF; Preprint: PDF;

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2017-10-12
16:18
Towards a Unified Environmental Monitoring, Control and Data Management System for Irradiation Facilities: the IRRAD Use Case / Gkotse, B. (CERN, MINES ParisTech) ; Glaser, M. (CERN) ; Jouvelot, P. (MINES ParisTech) ; Matli, E. (CERN) ; Pezzullo, G. (CERN) ; Ravotti, F. (CERN)
AIDA-2020-POSTER-2017-005.- Geneva : CERN, 2017 Fulltext: PDF;

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2017-10-12
16:11
Irradiation Facilities at CERN / Gkotse, B. (CERN) ; Brugger, M. (CERN) ; Carbonez, P. (CERN) ; Danzeca, S. (CERN) ; Fabich, A. (CERN) ; Garcia Alia, R. (CERN) ; Glaser, M. (CERN) ; Gorine, G. (CERN, EPFL) ; Jaekel, M.R. (CERN) ; Mateu Suau, I. (CERN) et al.
AIDA-2020-POSTER-2017-004.- Geneva : CERN, 2017 Fulltext: PDF;

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2017-10-02
16:28
Activités européennes pour la physique des hautes énergies dans AIDA2020-WP3 / Grasland, Hadrien (CNRS)
AIDA-2020-SLIDE-2017-001.- Geneva : CERN, 2017 Fulltext: PDF;

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2017-10-02
16:21
Software compensation in Particle Flow reconstruction / Lan Tran, Huong (DESY) ; Krüger, Katja (DESY) ; Sefkow, Felix (DESY) ; Green, Steven (Cavendish Laboratory) ; Marshall, John (Cavendish Laboratory) ; Thomson, Mark (Cavendish Laboratory) ; Simon, Frank (MPG-MPP)
The Particle Flow approach to calorimetry requires highly granular calorimeters and sophisticated software algorithms in order to reconstruct and identify individual particles in complex event topologies. The high spatial granularity, together with analog energy information, can be further exploited in software compensation. [...]
AIDA-2020-PUB-2017-003.- Geneva : CERN, 2017 - Published in : Preprint submitted to The European Physical Journal C Fulltext: PDF;

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2017-09-27
16:46
The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector / Acciarri, R. (FNAL) ; Adams, C. (Yale University, Harvard University) ; An, R. (IIT) ; Anthony, J. (UCAM) ; Asaadi, J. (University of Texas) ; Auger, M. (Universität Bern) ; Bagby, L. (FNAL) ; Balasubramanian, S. (Center for Neutrino Physics, Virginia Tech) ; Baller, B. (FNAL) ; Barnes, C. (University of Michigan) et al.
The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. [...]
AIDA-2020-PUB-2017-002.- Geneva : CERN, 2017 - Published in : Preprint to be submitted to The European Physical Journal C Fulltext: PDF;

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2017-09-26
15:53
SiW ECAL for future e + e − collider / Balagura, V. (LLR) ; Bilokin, S. (LAL) ; Bonis, J. (LAL) ; Boudry, V. (LLR) ; Brient, J.-C. (LLR) ; Callier, S. (Omega - Ecole polytechnique) ; Cheng, T. (IHEP) ; Cornat, R. (LLR/LPNHE) ; De La Taille, C. (Omega - Ecole polytechnique) ; Doan, T.H. (NCU) et al.
Calorimeters with silicon detectors have many unique features and are proposed for several world-leading experiments. We discuss the tests of the first three 18x18cm^2 layers segmented into 1024 pixels of the technological prototype of the silicon-tungsten electromagnetic calorimeter for a future e^+e^- collider. [...]
AIDA-2020-CONF-2017-005.- Geneva : CERN, 2017 - Published in : Fulltext: PDF;
In : Instrumentation for Colliding Beam Physics, Novosibirsk, Russia, 27 Feb - 3 Mar 2017

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2017-09-26
15:42
PEN as self-vetoing structural Material / Majorovits, B. (Max-Planck-Institut für Physik) ; Eck, S. (Max-Planck-Institut für Physik) ; Fischer, F. (Max-Planck-Institut für Physik) ; Gooch, C. (Max-Planck-Institut für Physik) ; Hayward, C. (Lancaster University) ; Kraetzschmar, T. (Max-Planck-Institut für Physik) ; van der Kolk, N. (Max-Planck-Institut für Physik) ; Muenstermann, D. (Lancaster University) ; Schulz, O. (Max-Planck-Institut für Physik) ; Simon, F. (Max-Planck-Institut für Physik)
Polyethylene Naphtalate (PEN) is a mechanically very favorable polymer. Earlier it was found that thin foils made from PEN can have very high radio-purity compared to other commercially available foils. [...]
AIDA-2020-CONF-2017-004.- Geneva : CERN, 2017 - Published in : Fulltext: PDF;
In : 6th Workshop on Low Radioactivity Techniques 2017, Seoul, Republic Of Korea, 23 - 27 May 2017

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AIDA-2020 has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement no. 654168. Project website: http://aida2020.web.cern.ch/.