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Results of FE65-P2 Pixel Readout Test Chip for High Luminosity LHC Upgrades
Lawrence Berkeley National Lab, USA.ORCID iD: 0000-0001-5659-4440
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2017 (English)In: PoS - Proceedings of Science, ISSN 1824-8039, E-ISSN 1824-8039, Vol. 282Article in journal (Refereed) Published
Abstract [en]

A pixel readout test chip called FE65-P2 has been fabricated on 65 nm CMOS technology. FE65-P2 contains a matrix of 64 x 64 pixels on 50 micron by 50 micron pitch, designed to read out a bump bonded sensor. The goals of FE65-P2 are to demonstrate excellent analog performance isolated from digital activity well enough to achieve 500 electron stable threshold, be radiation hard to at least 500 Mrad, and prove the novel concept of isolated analog front ends embedded in a flat digital design, dubbed “analog islands in a digital sea”. Experience from FE65-P2 and hybrid assemblies will be applied to the design for a large format readout chip, called RD53A, to be produced in a wafer run in early 2017 by the RD53 collaboration. We review the case for 65 nm technology and report on threshold stability test results for the FE65-P2.

Place, publisher, year, edition, pages
2017. Vol. 282
National Category
Subatomic Physics Accelerator Physics and Instrumentation
Research subject
Physics
Identifiers
URN: urn:nbn:se:su:diva-168225DOI: 10.22323/1.282.0272OAI: oai:DiVA.org:su-168225DiVA, id: diva2:1307113
Conference
38th International Conference on High Energy PhysicsChicago, USA, 3-10 August, 2016
Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2019-11-28Bibliographically approved
In thesis
1. Silicon Tracking and a Search for Long-lived Particles
Open this publication in new window or tab >>Silicon Tracking and a Search for Long-lived Particles
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The ATLAS Detector, below the surface of the Swiss-French border, measures the remnants of high-energy proton-proton collisions, accelerated by the Large Hadron Collider (LHC) at CERN. Recently the LHC paused operations, having delivered an integrated luminosity corresponding to 150 fb−1 of data at a centre-of-mass energy of 13 TeV. This thesis describes a search for physics beyond the Standard Model using that dataset as well as the charged particle tracking detector technology that renders it possible. The analysis searches for long-lived, massive particles identified by a characteristic decay displaced from the interaction point and produced in association with high momentum jets.

Searching for rare processes requires sifting through a large amount of data, which stresses the ATLAS computing infrastructure. As such, measures are taken to reduce unnecessary computations and supplement our existing resources with, for example, inherently parallel computing architectures. Early adoption of these new architectures is necessary to understand the feasibility of their potential integration, including porting existing algorithms. A popular algorithm used in track reconstruction, the Kalman filter, has been implemented in a neuromorphic architecture: IBM’s TrueNorth. The limits of using such an architecture for tracking, as well as how its performance compares to a non-spiking Kalman filter implementation, are explored in this thesis.

In 2026 the LHC will enter a High Luminosity phase (HL-LHC), increasing the instantaneous luminosity by a factor of five and delivering 4000 fb-1 within twelve years. This will impose significant technical challenges on all aspects of the ATLAS detector, resulting in the entire ATLAS Inner Detector being replaced by an all-silicon tracker. ITk (the new “Inner TracKer”) will be comprised of Strip and Pixel detectors. The layout of the Pixel and Strip detectors was optimised for the upgrade to extend their forward coverage. To cope with the increased number of hits per chip per event and explore novel techniques for dealing with the conditions in HL-LHC, an inter-experiment collaboration, RD53, was formed, tasked with producing a front-end readout chip used in Pixel detectors. This thesis will briefly outline the author’s contribution to both of these projects.

ITk silicon sensors will undergo significant damage over their lifetime due to non-ionising energy loss (NIEL). This damage must be incorporated into the detector simulation both to predict the detector performance and to understand the effects of radiation damage on data taking. The implementation of NIEL radiation damage in the ATLAS simulation framework is discussed in this thesis.

Place, publisher, year, edition, pages
Stockholm: Department of Physics, Stockholm University, 2019. p. 208
Keywords
ATLAS, silicon, silicon tracking, radiation damage, neuromorphic, neuromorphic computing, long-lived particles, susy, rpvll, displaced vertices, pixel, pixel detector
National Category
Subatomic Physics
Research subject
Physics
Identifiers
urn:nbn:se:su:diva-168230 (URN)978-91-7797-733-9 (ISBN)978-91-7797-734-6 (ISBN)
Public defence
2019-06-13, sal FB42 AlbaNova universitetscentrum, Roslagstullsbacken 21, Stockholm, 09:00 (English)
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Supervisors
Note

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 3: Manuscript.

 

Available from: 2019-05-21 Created: 2019-04-26 Last updated: 2019-11-28Bibliographically approved

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