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P. Barham

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Articles

Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

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By A. Abed, S. Alonso, P. Barham, V. Ayala
| gla.ac.uk
Abud, A. A.; et al. Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC. European Physical Journal. C, Particles and Fields (Online), (doi: doi10.1140/epjc/s10052-022-10549-w) Full text not currently available from Enlighten. Publisher's URL: https://www.osti.gov/biblio/1876457 Abstract DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches.
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Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

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By A. Abed, S. Alonso, V. Ayala, P. Barham
| gla.ac.uk
Abud, A. A.; et al. (2022) Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC. European Physical Journal C, 82, 618. (doi: 10.1140/epjc/s10052-022-10549-w) Text 333447.pdf - Published Version Available under License Creative Commons Attribution. 4MB Abstract DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches.
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Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping

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By J. Chen, Z. C. Chen, M. Abadi, P. Barham
| ScienceDirect Verified
Under a Creative Commons license open access Keywords Dry forests Machine learning Sentinel-1 SAR 1. Introduction Tropical dry forests (TDFs) cover approximately 40% of the globally available tropical forest stock (Murphy and Lugo, 1995; Miles et al., 2006); they play an essential role in the global carbon and water cycle and provide major ecosystem and societal services (Lewis et al., 2009; Zhou et al., 2013).
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