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1. DUNE Computing Tutorials

   https://doi.org/10.1051/epjconf/202429508007  

   DeMuth, David; Schellman, Heidi; David, Clare (January 2024, EPJ Web of Conferences)

   De_Vita, R; Espinal, X; Laycock, P; Shadura, O (Ed.)

   Providing computing training to the next generation of physicists is the principal driver for a biannual multi-day training workshop hosted by the DUNE Computing Consortium. Materials are cast in a Software Carpentry’s template, and topics have included storage space, data management, LArSoft, grid job submission and monitoring. Moreover, experts provide extended breakout sessions to demonstrate the fundamentals of the unique software used in HEP analysis. Each session uses live documents for real time correspondence, and are captured on Zoom; afterwards, videos are embedded on the corresponding web-pages for review. As a GitHub repository, shared editing of the learning modules is straightforward, and provides a trusted framework to extend to other training topics in the future. An overview of the tutorials as well as the machinery used, along with survey statistics and lessons learned is presented. 

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2. Long-baseline neutrino oscillation physics potential of the DUNE experiment: DUNE Collaboration

   https://doi.org/10.1140/epjc/s10052-020-08456-z  

   Abi, B.; Acciarri, R.; Acero, M. A.; Adamov, G.; Adams, D.; Adinolfi, M.; Ahmad, Z.; Ahmed, J.; Alion, T.; Monsalve, S. Alonso; et al (October 2020, The European Physical Journal C)

   null (Ed.)

   Abstract The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. DUNE will resolve the neutrino mass ordering to a precision of 5 $$\sigma $$ σ , for all $$\delta _{\mathrm{CP}}$$ δ CP values, after 2 years of running with the nominal detector design and beam configuration. It has the potential to observe charge-parity violation in the neutrino sector to a precision of 3 $$\sigma $$ σ (5 $$\sigma $$ σ ) after an exposure of 5 (10) years, for 50% of all $$\delta _{\mathrm{CP}}$$ δ CP values. It will also make precise measurements of other parameters governing long-baseline neutrino oscillation, and after an exposure of 15 years will achieve a similar sensitivity to $$\sin ^{2} 2\theta _{13}$$ sin 2 2 θ 13 to current reactor experiments. 

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3. Neutrino tridents at DUNE

   https://doi.org/10.1103/PhysRevD.100.115029  

   Altmannshofer, Wolfgang; Gori, Stefania; Martín-Albo, Justo; Sousa, Alexandre; Wallbank, Michael (December 2019, Physical Review D)
4. Defining Dunes: Evaluating How Dune Feature Definitions Affect Dune Interpretations from Remote Sensing

   Wernette, Phillipe; Thompson, Stephanie; Eyler, Rachel; Taylor, Hannah; Taube, Caleb; Medlin, Alex; Decuir, Claire; Houser, Chris (April 2018, Journal of coastal research)

   Coastal resiliency is the ability of a beach–dune system to recover to a previous state after a storm, and this resiliency is affected by prestorm beach and dune morphology and storm climate (i.e. storm frequency and intensity). Improvements in remote sensing technology such as LIDAR and structure from motion have enabled rapid collection and production of digital elevation models used to assess storm impact and recovery. Although rapid poststorm assessment requires a consistent approach for extracting dune morphology, relatively little attention has focused on defining the different parts of a dune. The goals of this paper are to examine how the definition of a dune feature drives the methodology used to extract dunes and to synthesize a comprehensive definition of dune features. An analysis of existing approaches for extracting beach and dune morphology demonstrates that there is considerable variation in how the beach–dune transition (i.e. dune toe) is defined. Many definitions are recursive or include ambiguous terminology, resulting in a dune toe or crest line position dependent on user interpretation of the definition. Other definitions rely heavily on user interpretation of dune features at varying stages in the feature extraction process. Reliance on visual interpretation can result in substantially different feature locations across different interpreters. Given the impact of varying definitions on dune resiliency assessments and legal implications for dune features location, we propose a series of semantic models for dune features. Semantic modelling of coastal morphology is vital for consistently and accurately assessing coastal recovery and predicting future coastal assessments on the basis of a consistent set of criteria. 

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5. Beach and Dune Subsurface Hydrodynamics and Their Influence on the Formation of Dune Scarps

   https://doi.org/10.1029/2023JF007298  

   Bond, Hailey; Wengrove, Meagan; Puleo, Jack; Pontiki, Maro; Evans, T. Matthew; Feagin, Rusty A. (December 2023, Journal of Geophysical Research: Earth Surface)

   Abstract Erosive beach scarps influence beach vulnerability, yet their formation remains challenging to predict. In this study, a 1:2.5 scale laboratory experiment was used to study the subsurface hydrodynamics of a beach dune during an erosive event. Pressure and moisture sensors buried within the dune were used both to monitor the water table and to examine vertical pressure gradients in the upper 0.3 m of sand as the slope of the upper beach developed into a scarp. Concurrently, a line‐scan lidar tracked swash bores and monitored erosion and accretion patterns along a single cross‐shore transect throughout the experiment. As wave conditions intensified, a discontinuity in the slope of the dune formed; the discontinuity grew steeper and progressed landward at the same rate as theR_2%runup extent until it was a fully formed scarp with a vertical face. Within the upper 0.15 m of the partially saturated sand, upward pore pressure gradients were detected during backwash, influencing the effective weight of sand and potentially contributing to beachface erosion. The magnitude and frequency of the upward pressure gradients increased with deeper swash depths and with frequency of wave interaction, and decreased with depth into the sand. A simple conceptual model for scarp formation is proposed that incorporates observations of upward‐directed pressure gradients from this study while providing a reference for future studies seeking to integrate additional swash zone sediment transport processes that may impact scarp development. 

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