High Gradient Silicon Carbide Immersion Lens Ultrafast Electron Sources

Kavli Affiliate: Robert L. Byer | First 5 Authors: Kenneth J. Leedle, Uwe Niedermayer, Eric Skär, Karel Urbanek, Yu Miao | Summary: We present two compact ultrafast electron injector designs with integrated focusing that provide high peak brightness of up to $1.9*10^{12} A/m^2Sr^2$ with 10s of electrons per laser pulse using silicon carbide electrodes and […]


Continue.. High Gradient Silicon Carbide Immersion Lens Ultrafast Electron Sources

Development and characterization of a fast and low noise readout for the next generation X-ray CCDs

Kavli Affiliate: Sven Herrmann | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, R. Glenn Morris, Gregory Prigozhin | Summary: The broad energy response, low electronic read noise, and good energy resolution have made X-ray Charge-Coupled Devices (CCDs) an obvious choice for developing soft X-ray astronomical instruments over the last half century. They also […]


Continue.. Development and characterization of a fast and low noise readout for the next generation X-ray CCDs

Blockchain-based Collaborated Federated Learning for Improved Security, Privacy and Reliability

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Amir Afaq, Zeeshan Ahmed, Noman Haider, Muhammad Imran, | Summary: Federated Learning (FL) provides privacy preservation by allowing the model training at edge devices without the need of sending the data from edge to a centralized server. FL has distributed the implementation of ML. Another variant of […]


Continue.. Blockchain-based Collaborated Federated Learning for Improved Security, Privacy and Reliability

Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Kavli Affiliate: T. A. Shutt, C. M. Ignarra, Daniel S. Akerib | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This […]


Continue.. Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Kavli Affiliate: T. A. Shutt | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This approach demonstrates reduction in computation time […]


Continue.. Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Cosmogenic production of $^{37}$Ar in the context of the LUX-ZEPLIN experiment

Kavli Affiliate: C. M. Ignarra, T. A. Shutt, Daniel S. Akerib | First 5 Authors: J. Aalbers, D. S. Akerib, A. K. Al Musalhi, F. Alder, S. K. Alsum | Summary: We estimate the amount of $^{37}$Ar produced in natural xenon via cosmic ray-induced spallation, an inevitable consequence of the transportation and storage of xenon […]


Continue.. Cosmogenic production of $^{37}$Ar in the context of the LUX-ZEPLIN experiment

Cosmogenic production of $^{37}$Ar in the context of the LUX-ZEPLIN experiment

Kavli Affiliate: T. A. Shutt | First 5 Authors: J. Aalbers, D. S. Akerib, A. K. Al Musalhi, F. Alder, S. K. Alsum | Summary: We estimate the amount of $^{37}$Ar produced in natural xenon via cosmic ray-induced spallation, an inevitable consequence of the transportation and storage of xenon on the Earth’s surface. We then […]


Continue.. Cosmogenic production of $^{37}$Ar in the context of the LUX-ZEPLIN experiment

Sensitivity of the Roman Coronagraph Instrument to Exozodiacal Dust

Kavli Affiliate: Bruce Macintosh | First 5 Authors: Ewan S Douglas, John Debes, Bertrand Mennesson, Bijan Nemati, Jaren Ashcraft | Summary: Exozodiacal dust, warm debris from comets and asteroids in and near the habitable zone of stellar systems, reveals the physical processes that shape planetary systems. Scattered light from this dust is also a source […]


Continue.. Sensitivity of the Roman Coronagraph Instrument to Exozodiacal Dust

The GALPROP Cosmic-ray Propagation and Non-thermal Emissions Framework: Release v57

Kavli Affiliate: Troy A. Porter | First 5 Authors: Troy A. Porter, Gudlaugur Johannesson, Igor V. Moskalenko, , | Summary: The past decade has brought impressive advances in astrophysics of cosmic rays (CRs) and multi-wavelength astronomy — thanks to the new instrumentation launched into space and built on the ground. Understanding the astrophysical backgrounds to […]


Continue.. The GALPROP Cosmic-ray Propagation and Non-thermal Emissions Framework: Release v57

The GALPROP Cosmic-ray Propagation and Non-thermal Emissions Framework: Release v57

Kavli Affiliate: Igor V. Moskalenko | First 5 Authors: Troy A. Porter, Gudlaugur Johannesson, Igor V. Moskalenko, , | Summary: The past decade has brought impressive advances in the astrophysics of cosmic rays (CRs) and multiwavelength astronomy, thanks to the new instrumentation launched into space and built on the ground. Modern technologies employed by those […]


Continue.. The GALPROP Cosmic-ray Propagation and Non-thermal Emissions Framework: Release v57