Kavli Affiliate: Feng Wang | First 5 Authors: Cheng Ge, Yi Lu, Jia Qu, Liangxu Xie, Feng Wang | Summary: De novo peptide sequencing from mass spectrometry data is an important method for protein identification. Recently, various deep learning approaches were applied for de novo peptide sequencing and DeepNovoV2 is one of the represetative models. […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Dongdong Jiao, Guanjun Xu, Jing Gao, Xue Deng, Qi Zang | Summary: We present a subHz linewidth portable ultrastable laser with the mass and volume of are 40kg and 400mm*280mm*450mm, respectively, that meets the requirements of automatic frequency locking and road transportation. A dynamic analytical model of […]
Kavli Affiliate: Brian Nord | First 5 Authors: Fengxue Zhang, Brian Nord, Yuxin Chen, , | Summary: Bayesian optimization has been challenged by datasets with large-scale, high-dimensional, and non-stationary characteristics, which are common in real-world scenarios. Recent works attempt to handle such input by applying neural networks ahead of the classical Gaussian process to learn […]
Kavli Affiliate: D. B. Macfarlane | Summary:The SuperCDMS Collaboration is currently building SuperCDMS SNOLAB, a dark matter search focused on nucleon-coupled dark matter in the 1-5 GeV/c$^2$ mass range. Looking to the future, the Collaboration has developed a set of experience-based upgrade scenarios, as well as novel directions, to extend the search for dark matter […]
Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib, D. W. P. Amaral, T. Aralis | Summary: The SuperCDMS Collaboration is currently building SuperCDMS SNOLAB, a dark matter search focused on nucleon-coupled dark matter in the 1-5 GeV mass range. Looking to the future, the Collaboration has developed […]
Kavli Affiliate: Maria Elena Monzani | Summary:This paper summarizes the needs of the dark matter and neutrino communities as it relates to computation. The scope includes data acquisition, triggers, data management and processing, data preservation, simulation, machine learning, data analysis, software engineering, career development, and equity and inclusion. Beyond identifying our community needs, we propose […]
Kavli Affiliate: Maria Elena Monzani | First 5 Authors: Amy Roberts, Christopher Tunnell, Belina von Krosigk, Tyler Anderson, Jason Brodsky | Summary: This paper summarizes the needs of the dark matter and neutrino communities as it relates to computation. The scope includes data acquisition, triggers, data management and processing, data preservation, simulation, machine learning, data […]
Kavli Affiliate: Peter Fritschel | Summary:The next generation of gravitational-wave observatories can explore a wide range of fundamental physics phenomena throughout the history of the universe. These phenomena include access to the universe’s binary black hole population throughout cosmic time, to the universe’s expansion history independent of the cosmic distance ladders, to stochastic gravitational-waves from […]
Kavli Affiliate: Peter Fritschel | First 5 Authors: Stefan W. Ballmer, Rana Adhikari, Leonardo Badurina, Duncan A. Brown, Swapan Chattopadhyay | Summary: The next generation of gravitational-wave observatories can explore a wide range of fundamental physics phenomena throughout the history of the universe. These phenomena include access to the universe’s binary black hole population throughout […]
Kavli Affiliate: Salvatore Vitale | First 5 Authors: Stefan W. Ballmer, Rana Adhikari, Leonardo Badurina, Duncan A. Brown, Swapan Chattopadhyay | Summary: The next generation of gravitational-wave observatories can explore a wide range of fundamental physics phenomena throughout the history of the universe. These phenomena include access to the universe’s binary black hole population throughout […]