Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference

Kavli Affiliate: Brian Nord | First 5 Authors: Sreevani Jarugula, Brian Nord, Abhijith Gandrakota, Aleksandra Ćiprijanović, | Summary: In this work, we present a scalable approach for inferring the dark energy equation-of-state parameter ($w$) from a population of strong gravitational lens images using Simulation-Based Inference (SBI). Strong gravitational lensing offers crucial insights into cosmology, but […]


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Adsorption-controlled Growth of Homoepitaxial c-plane Sapphire Films

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Lena N. Majer, Tolga Acartürk, Peter A. van Aken, Wolfgang Braun, Luca Camuti | Summary: Sapphire is a technologically highly relevant material, but it poses many challenges to performing epitaxial thin-film deposition. We have identified and applied the conditions for adsorption-controlled homoepitaxial growth of c-plane sapphire. […]


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Active Loop Closure for OSM-guided Robotic Mapping in Large-Scale Urban Environments

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Zezhou Sun, Mingle Zhao, Cheng-Zhong Xu, Hui Kong | Summary: The autonomous mapping of large-scale urban scenes presents significant challenges for autonomous robots. To mitigate the challenges, global planning, such as utilizing prior GPS trajectories from OpenStreetMap (OSM), is often used to guide the autonomous […]


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Anatomical and behavioral correlates of auditory perception in developmental dyslexia

Kavli Affiliate: Edward Chang | Authors: Ting Qi, Maria Luisa Mandelli, Christa L. Watson Pereira, Emma Wellman, Rian Bogley, Abigail E. Licata, Edward F. Chang, Yulia Oganian and Maria Luisa Gorno-Tempini | Summary: Developmental dyslexia (DD) is typically associated with difficulties in manipulating speech sounds and, sometimes, in basic auditory processing. However, the neuroanatomical correlates […]


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Convexification of the Quantum Network Utility Maximisation Problem

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Sounak Kar, Stephanie Wehner, , , | Summary: Network Utility Maximisation (NUM) addresses the problem of allocating resources fairly within a network and explores the ways to achieve optimal allocation in real-world networks. Although extensively studied in classical networks, NUM is an emerging area of research in […]


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Telomere-to-telomere sheep genome assembly reveals new variants associated with wool fineness trait

Kavli Affiliate: Wei Min | Authors: Ling-Yun Luo, Hui Wu, Li-Ming Zhao, Ya-Hui Zhang, Jia-Hui Huang, Qiu-Yue Liu, Hai-Tao Wang, Dong-Xin Mo, He-Hua EEr, Lian-Quan Zhang, Hai-Liang Chen, Shan-Gang Jia, Wei-Min Wang and Meng-Hua Li | Summary: Ongoing efforts to improve sheep reference genome assemblies still leave many gaps and incomplete regions, resulting in a […]


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A disinhibitory basal forebrain to cortex projection supports sustained attention

Kavli Affiliate: Edward Callaway | Authors: Shu-Jing Li, Balazs Hangya, Unmukt Gupta, Kyle B. Fischer, James Fitzhugh Sturgill, Edward M. Callaway and Adam Kepe | Summary: Sustained attention, as an essential cognitive faculty governing selective sensory processing, exhibits remarkable temporal fluctuations. However, the underlying neural circuits and computational mechanisms driving moment-to-moment attention fluctuations remain elusive. […]


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Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Catherine E. Grant | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Catherine E. Grant | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness