E. S. Kuwertz
A5067693590- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Distributed and Parallel Computing Systems
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Medical Imaging Techniques and Applications
- Advanced Data Storage Technologies
- Radiation Effects in Electronics
- Particle accelerators and beam dynamics
- Nuclear reactor physics and engineering
- Structural Analysis of Composite Materials
- Big Data and Business Intelligence
- Atomic and Subatomic Physics Research
- Muon and positron interactions and applications
- Particle Accelerators and Free-Electron Lasers
- Statistical Distribution Estimation and Applications
- Astrophysical Phenomena and Observations
- Galaxies: Formation, Evolution, Phenomena
European Organization for Nuclear Research
2012-2025
University of Victoria
2015-2023
The University of Adelaide
2013-2022
Institute of High Energy Physics
2020
Chinese Academy of Sciences
2020
Institute for High Energy Physics
2020
Universitat Autònoma de Barcelona
2020
Brandeis University
2019-2020
University of California, Santa Cruz
2020
University of Chinese Academy of Sciences
2019
The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in the XMM-Newton Science Archive. Its main aims are to measure cosmological parameters and trace evolution of X-ray scaling relations. In this paper we describe processing methodology applied 5,776 observations used construct current XCS source catalogue. A total 3,675 > 4-sigma cluster candidates with 50 background-subtracted counts extracted from non-overlapping area suitable...
Abstract This paper presents the design and characterisation of a front-end prototype ASIC for ATLAS High Granularity Timing Detector, which is planned High-Luminosity phase LHC. prototype, called ALTIROC1, consists 5 × 5-pad matrix contains analog part single-channel readout (preamplifier, discriminator, two TDCs SRAM). Two preamplifier architectures (transimpedance voltage) were implemented tested. The was characterised both alone as module when connected to array LGAD sensors. In...
Abstract The High Granularity Timing Detector (HGTD) will be installed in the ATLAS detector to mitigate pile-up effects during Luminosity (HL) upgrade of Large Hadron Collider (LHC) at CERN. design HGTD is based on use Low Gain Avalanche Detectors (LGADs), with an active thickness 50 μm, that allow measure high-precision time arrival particles. improve particle-vertex assignment by measuring track a resolution ranging from approximately 30 ps beginning HL-LHC operations end. Performances...
Understanding the potential for downstream harms from data-intensive technologies requires strong collaboration across disciplines and with public. Having shared vocabularies of concerns reduces communication barriers inherent in this work. The Data Hazards project (datahazards.com) contains an open-source, controlled vocabulary 11 hazards associated data science work, presented as ‘labels’. Each label has (i) icon, (ii) a description, (iii) examples, and, crucially, (iv) suggested safety...