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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Aeroacoustic Simulations of the High-Lift Common Research Model and Validation with Experiment
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Melt Pond Conditions on Declining Arctic Sea Ice Over 1979–2016: Model Development, Validation, and Results
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Validation of modeled daily erythemal exposure along tropical and subtropical shipping routes by ship‐based and satellite‐based measurements
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The Infrared Spectrum of Protonated and Deuterated Clay Edges: Validation of Model Parameters.
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Building and validating a model of human blast traumatic brain injury: a hybrid computational and experimental approach.
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The Infrared Spectrum of Protonated and Deuterated Clay Edges: Validation of Model Parameters.
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The Infrared Spectrum of Protonated and Deuterated Clay Edges: Validation of Model Parameters.
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Calibration Propagation and Validation of Model Discrepancy Across Experiments.
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Calibration Propagation and Validation of Model Discrepancy Across Experimental Settings.
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Cyber Threat Modeling and Validation: Port Scanning and Detection.
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Multiple Environmental Influences on the Lightning of Cold-Based Continental Cumulonimbus Clouds. Part I: Description and Validation of Model
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Modeling and Validation of Flow and Heat Transfer Phenomena for Coal-Fired Boilers for Indirectly-Heated Supercritical Carbon Dioxide Power Cycles
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HE Validation Suite (HEVS): An automated approach to verify and validate HE models.
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Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation
This paper details the modeling pipeline and validates the baseline analysis choices of the DES Year 3 joint analysis of galaxy clustering and weak lensing (a so-called "3$\times$2pt" analysis). These analysis choices include the specific combination of cosmological probes, priors on cosmological and systematics parameters, model parameterizations for systematic effects and related approximations, and angular scales where the model assumptions are validated. We run a large number of simulated likelihood analyses using synthetic data vectors to test the robustness of our baseline analysis. We demonstrate that the DES Year 3 modeling pipeline, including the calibrated scale cuts, is sufficiently accurate relative to the constraining power of the DES Year 3 analyses. Our systematics mitigation strategy accounts for astrophysical systematics, such as galaxy bias, intrinsic alignments, source and lens magnification, baryonic effects, and source clustering, as well as for uncertainties in modeling the matter power spectrum, reduced shear, and estimator effects. We further demonstrate excellent agreement between two independently-developed modeling pipelines, and thus rule out any residual uncertainties due to the numerical implementation.