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Träfflista för sökning "WFRF:(Moody T.) srt2:(2020-2022)"

Sökning: WFRF:(Moody T.) > (2020-2022)

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  • 2021
  • swepub:Mat__t
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  • Verra, L., et al. (författare)
  • Controlled Growth of the Self-Modulation of a Relativistic Proton Bunch in Plasma
  • 2022
  • Ingår i: Physical Review Accelerators and Beams. - : American Physical Society. - 2469-9888. ; 25:7
  • Tidskriftsartikel (refereegranskat)abstract
    • A long, narrow, relativistic charged particle bunch propagating in plasma is subject to the self -modulation (SM) instability. We show that SM of a proton bunch can be seeded by the wakefields driven by a preceding electron bunch. SM timing reproducibility and control are at the level of a small fraction of the modulation period. With this seeding method, we independently control the amplitude of the seed wakefields with the charge of the electron bunch and the growth rate of SM with the charge of the proton bunch. Seeding leads to larger growth of the wakefields than in the instability case.
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  • Bauermeister, S, et al. (författare)
  • The Dementias Platform UK (DPUK) Data Portal
  • 2020
  • Ingår i: European journal of epidemiology. - : Springer Science and Business Media LLC. - 1573-7284 .- 0393-2990. ; 35:6, s. 601-611
  • Tidskriftsartikel (refereegranskat)abstract
    • The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data. The Data Portal uses UK Secure eResearch Platform infrastructure to provide three core utilities: data discovery, access, and analysis. These are delivered using a 7 layered architecture comprising: data ingestion, data curation, platform interoperability, data discovery, access brokerage, data analysis and knowledge preservation. Automated, streamlined, and standardised procedures reduce the administrative burden for all stakeholders, particularly for requests involving multiple independent datasets, where a single request may be forwarded to multiple data controllers. Researchers are provided with their own secure ‘lab’ using VMware which is accessed using two factor authentication. Over the last 2 years, 160 project proposals involving 579 individual cohort data access requests were received. These were received from 268 applicants spanning 72 institutions (56 academic, 13 commercial, 3 government) in 16 countries with 84 requests involving multiple cohorts. Projects are varied including multi-modal, machine learning, and Mendelian randomisation analyses. Data access is usually free at point of use although a small number of cohorts require a data access fee.
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  • Logan, Derek T., et al. (författare)
  • Interactive model building in neutron macromolecular crystallography
  • 2020
  • Ingår i: Methods in Enzymology. - : Elsevier. - 0076-6879 .- 1557-7988. - 9780128192146 ; 634, s. 201-224
  • Bokkapitel (refereegranskat)abstract
    • This chapter aims to give an overview of the process of interactive model building in macromolecular neutron crystallography for the researcher transitioning from X-ray crystallography alone. The two most popular programs for refinement and model building, phenix.refine and Coot, respectively, are used as examples, and familiarity with the programs is assumed. Some work-arounds currently required for proper communication between the programs are described. We also discuss the appearance of nuclear density maps and how this differs from that of electron density maps. Advice is given to facilitate deposition of jointly refined neutron/X-ray structures in the Protein Data Bank.
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  • Resultat 1-10 av 11

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