HIGH ENERGY PHYSICS CALORIMETER DETECTOR SIMULATION USING GENERATIVE ADVERSARIAL NETWORKS WITH DOMAIN RELATED CONSTRAINTS

High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints

Generative Adversarial Networks (GANs) have gained notoriety by generating highly realistic images.The present work explores GAN for simulating High Energy Physics detectors, interpreting detector output as three-dimensional images.The demands and requirements of a scientific simulation are quite stringent, as compared to the domain of visual image

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Development and Implementation of a Platform for Public Information on Air Quality, Sensor Measurements, and Citizen Science

The use of low-cost sensors for air quality measurements is expanding rapidly, with an associated rise in the number of citizens measuring air quality themselves.This has Graduation Tassel Photo Charm major implications for traditional air quality monitoring as performed by Environmental Protection Agencies.Here we reflect on the experiences of the

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