N. Skidmore

ORCID: 0000-0003-3410-0731
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Neutrino Physics Research
  • Computational Physics and Python Applications
  • Black Holes and Theoretical Physics
  • Particle Detector Development and Performance
  • Dark Matter and Cosmic Phenomena
  • Particle Accelerators and Free-Electron Lasers
  • Medical Imaging Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Superconducting Materials and Applications
  • Nuclear physics research studies
  • Stochastic processes and statistical mechanics
  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • International Science and Diplomacy
  • Advanced NMR Techniques and Applications
  • Algorithms and Data Compression
  • Scientific Computing and Data Management
  • Radiation Detection and Scintillator Technologies
  • Markov Chains and Monte Carlo Methods
  • Cosmology and Gravitation Theories
  • Geophysics and Gravity Measurements
  • advanced mathematical theories

University of Warwick
2022-2025

University of Manchester
2021-2024

University of Oxford
2023

University of Bonn
2020-2021

Heidelberg University
2018-2020

University of Bristol
2013-2018

Universidad de Salamanca
2018

Bristol Robotics Laboratory
2018

University of Maryland, College Park
2017

Centro Brasileiro de Pesquisas Físicas
2013-2017

A common and growing issue in scientific research industry is that of storing sharing ever-increasing datasets. In this paper we document the development applications Baler - a Machine Learning based tool for tailored compression data across multiple disciplines.

10.1051/epjconf/202429509023 article EN cc-by EPJ Web of Conferences 2024-01-01

In light of recently found deviations the experimental data from predictions QCD factorization for <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:msub><a:mi>B</a:mi><a:mrow><a:mo stretchy="false">(</a:mo><a:mi>s</a:mi><a:mo stretchy="false">)</a:mo></a:mrow></a:msub><a:mo stretchy="false">→</a:mo><a:msub><a:mi>D</a:mi><a:mrow><a:mo stretchy="false">)</a:mo></a:mrow></a:msub><a:mi>P</a:mi></a:math> decays, where <h:math xmlns:h="http://www.w3.org/1998/Math/MathML"...

10.1103/physrevd.109.113006 article EN cc-by Physical review. D/Physical review. D. 2024-06-24

The resonant substructure of $D^0 \to \pi^+\pi^-\pi^+\pi^-$ decays is studied using data collected by the CLEO-c detector. An amplitude analysis performed in order to disentangle various intermediate state contributions. To limit model complexity a driven regularization procedure applied. prominent contributions are decay modes $D^0\to a_1(1260)^+\pi^-$, \sigma f_0(1370)$ and \rho(770)^0 \rho(770)^0$. broad resonances $a_1(1260)^+$, $\pi(1300)^+$ $a_1(1640)^+$ detail, including...

10.1007/jhep05(2017)143 article EN cc-by Journal of High Energy Physics 2017-05-01

Motivated by recent indications that the rates of color-allowed nonleptonic channels are not in agreement with their Standard Model expectations based on QCD factorization, we investigate potential to study $CP$ asymmetries these decays. In Model, flavor-specific decays sensitive violation ${B}_{(s)}^{0}--{\overline{B}}_{(s)}^{0}$ mixing, which is predicted low uncertainties and can be measured precisely semileptonic Allowing beyond (BSM) contributions decay amplitudes, derive explicit...

10.1103/physrevd.105.115023 article EN cc-by Physical review. D/Physical review. D. 2022-06-16

The LHCb detector is undergoing a comprehensive upgrade for data taking in the LHC's Run 3, which scheduled to begin 2022. increased rate 3 poses significant data-processing and handling challenges experiment. offline computing dataflow model consequently also being upgraded cope with factor 30 increase volume associated demands of user-data samples ever-increasing size. Coordinating these efforts charge newly created Data Processing \& Analysis (DPA) project. DPA project responsible...

10.22323/1.398.0792 article EN cc-by-nc-nd Proceedings of The European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2021) 2022-01-28

In light of recently found deviations the experimental data from predictions QCD factorization for $B_{(s)}\rightarrow D_{(s)}P$ decays, where $P=\{\pi,K\}$, we systematically probe current status SU(3)$_F$ expansion a fit to branching ratio without any further theory input. We find that is in agreement with power-counting expansion. While limit excluded at $>5\sigma$, SU(3)$_F$-breaking contributions $\sim 20\%$ suffice an excellent description data. breaking needed tree ($>5\sigma$) and...

10.48550/arxiv.2403.04878 preprint EN arXiv (Cornell University) 2024-03-07

The resonant substructure of the decay $D^{0} \rightarrow π^{+} π^{-} π^{-}$ is studied by performing a full five-dimensional amplitude analysis. Preliminary results based on data collected CLEO-c detector are presented. This largest dataset decays analysed in this way to-date. two most significant contributions a_{1}(1260)^{+} and ρ(770)^{0}ρ(770)^{0}$. line shape, mass width $a_{1}(1260)$ resonance determined, model-independent studies shapes several preformed.

10.48550/arxiv.1611.09253 preprint EN other-oa arXiv (Cornell University) 2016-01-01

Motivated by recent indications that the rates of colour-allowed non-leptonic channels are not in agreement with their Standard Model expectations based on QCD factorisation, we investigate potential to study CP asymmetries these decays. In Model, flavour-specific decays sensitive violation $B^0_{(s)}$--$\bar{B}^0_{(s)}$ mixing, which is predicted low uncertainties and can be measured precisely semileptonic If there beyond contributions decay amplitudes, could significant enhancements...

10.48550/arxiv.2111.04478 preprint EN cc-by arXiv (Cornell University) 2021-01-01

Storing and sharing increasingly large datasets is a challenge across scientific research industry. In this paper, we document the development applications of Baler - Machine Learning based data compression tool for use disciplines Here, present Baler's performance High Energy Physics (HEP) data, as well its application to Computational Fluid Dynamics (CFD) toy proof-of-principle. We also suggestions cross-disciplinary guidelines enable feasibility studies machine learning data.

10.48550/arxiv.2305.02283 preprint EN cc-by arXiv (Cornell University) 2023-01-01

In this paper we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II DUNE. Fast efficient of new collaboration members is increasingly important for HEP experiments as analyses related become ever more complex with growing datasets. A meeting series was held by Software Foundation (HSF) 2022 to showcase their initiatives. Here analyse these an attempt determine a set key considerations future...

10.48550/arxiv.2310.07342 preprint EN cc-by arXiv (Cornell University) 2023-01-01

The resonant substructure of the decay $D^{0} \rightarrow \pi^{+} \pi^{-} \pi^{-}$ is studied by performing a full five-dimensional amplitude analysis. Preliminary results based on data collected CLEO-c detector are presented. This largest dataset decays analysed in this way to-date. two most significant contributions \to a_{1}(1260)^{+} \, and \rho(770)^{0} \rho(770)^{0}$. line shape, mass width $a_{1}(1260)$ resonance determined, model-independent studies shapes several preformed.

10.22323/1.289.0084 article EN cc-by-nc-nd 2017-02-28

The resonant substructures of $\Dz \to \fourpi \, $ and \KKpipi decays are studied using data collected by the CLEO detector. Amplitude analyses performed a driven regularization procedure to limit model complexity. For decay prominent contributions modes a_{1}(1260)^{+} \pi^{-}$, \sigma f_0(1370)$ \rho(770)^{0} \rho(770)^{0}$. broad resonances $a_1(1260)^+$, $\pi(1300)^+$ $a_1(1640)^+$ in detail, including quasi-model-independent parametrizations their lineshapes. amplitude analysis uses...

10.22323/1.310.0028 article EN cc-by-nc-nd 2018-02-16
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