TRIPP: A General Purpose Data Pipeline for Astronomical Image Processing

Kavli Affiliate: Michael McDonald | First 5 Authors: Alex Thomas, Natalie LeBaron, Luca Angeleri, Samuel Whitebook, Rachel Darlinger | Summary: We present the TRansient Image Processing Pipeline (TRIPP), a transient and variable source detection pipeline that employs both difference imaging and light curve analysis techniques for astronomical data. Additionally, we demonstrate TRIPP’s rapid analysis capability […]


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Better early than never: A new test for superluminal gravitational wave polarizations

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Kristen Schumacher, Colm Talbot, Daniel E. Holz, Nicolás Yunes, | Summary: In some beyond-Einstein theories of gravity, gravitational waves can contain up to six polarizations, which are allowed to propagate at different speeds faster than light. These different propagation speeds imply that polarizations generated by the […]


Continue.. Better early than never: A new test for superluminal gravitational wave polarizations

Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

Kavli Affiliate: Jing Wang | First 5 Authors: Zixue Zeng, Xiaoyan Zhao, Matthew Cartier, Tong Yu, Jing Wang | Summary: We introduce a novel segmentation-aware joint training framework called generative reinforcement network (GRN) that integrates segmentation loss feedback to optimize both image generation and segmentation performance in a single stage. An image enhancement technique called […]


Continue.. Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing

Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu, | Summary: Federated learning (FL) has gained attention as a distributed learning paradigm for its data privacy benefits and accelerated convergence through parallel computation. Traditional FL relies on a server-client (SC) architecture, where a central server coordinates multiple clients […]


Continue.. Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing

Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing

Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu, | Summary: Federated learning (FL) has gained attention as a distributed learning paradigm for its data privacy benefits and accelerated convergence through parallel computation. Traditional FL relies on a server-client (SC) architecture, where a central server coordinates multiple clients […]


Continue.. Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing

The impact of cosmic ray feedback during the epoch of reionisation

Kavli Affiliate: Martin Haehnelt | First 5 Authors: Marion Farcy, Joakim Rosdahl, Yohan Dubois, Jérémy Blaizot, Sergio Martin-Alvarez | Summary: Galaxies form and evolve via a multitude of complex physics. In this work, we investigate the role of cosmic ray (CR) feedback in galaxy evolution and reionisation, by examining its impact on the escape of […]


Continue.. The impact of cosmic ray feedback during the epoch of reionisation

The impact of cosmic ray feedback during the epoch of reionisation

Kavli Affiliate: Martin Haehnelt | First 5 Authors: Marion Farcy, Joakim Rosdahl, Yohan Dubois, Jérémy Blaizot, Sergio Martin-Alvarez | Summary: Galaxies form and evolve via a multitude of complex physics. In this work, we investigate the role of cosmic ray (CR) feedback in galaxy evolution and reionisation, by examining its impact on the escape of […]


Continue.. The impact of cosmic ray feedback during the epoch of reionisation

BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

Kavli Affiliate: Claudio Ricci | First 5 Authors: Macon Magno, Krista L. Smith, O. Ivy Wong, Richard Mushotzky, Stuart Vogel | Summary: We present the third phase of the largest high-frequency, high-resolution imaging survey of 231 nearby, hard X-ray selected AGN, with a very high $98 pm 1%$ detection fraction. This survey presents VLA 22 […]


Continue.. BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

Kavli Affiliate: Claudio Ricci | First 5 Authors: Macon Magno, Krista L. Smith, O. Ivy Wong, Richard Mushotzky, Stuart Vogel | Summary: We present the third phase of the largest high-frequency, high-resolution imaging survey of 231 nearby, hard X-ray selected AGN, with a very high $98 pm 1%$ detection fraction. This survey presents VLA 22 […]


Continue.. BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

Kavli Affiliate: Claudio Ricci | First 5 Authors: Macon Magno, Krista L. Smith, O. Ivy Wong, Richard Mushotzky, Stuart Vogel | Summary: We present the third phase of the largest high-frequency, high-resolution imaging survey of 231 nearby, hard X-ray selected AGN, with a very high $98 pm 1%$ detection fraction. This survey presents VLA 22 […]


Continue.. BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN