The integrated angular bispectrum of weak lensing

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Gabriel Jung, Toshiya Namikawa, Michele Liguori, Dipak Munshi, Alan Heavens | Summary: We investigate three-point statistics in weak lensing convergence, through the integrated bispectrum. This statistic involves measuring power spectra in patches, and is thus easy to measure, and avoids the complexity of estimating the very large […]


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Event-Chain Monte-Carlo Simulations of Dense Soft Matter Systems

Kavli Affiliate: David Muller | First 5 Authors: Tobias A. Kampmann, David Müller, Clemens Franz Vorsmann, Lukas Paul Weise, Jan Kierfeld | Summary: We discuss the rejection-free event-chain Monte-Carlo algorithm and several applications to dense soft matter systems. Event-chain Monte-Carlo is an alternative to standard local Markov-chain Monte-Carlo schemes, which are based on detailed balance, […]


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On Stability of Fermionic Superconducting Current in Cosmic String

Kavli Affiliate: Satoshi Shirai | First 5 Authors: Masahiro Ibe, Shin Kobayashi, Yuhei Nakayama, Satoshi Shirai, | Summary: Recently, the chiral superconductivity of the cosmic string in the axion model has gathered attention. The superconductive nature can alter the standard understanding of the cosmology of the axion model. For example, a string loop with a […]


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HI constraints from the cross-correlation of eBOSS galaxies and Green Bank Telescope intensity maps

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Laura Wolz, Alkistis Pourtsidou, Kiyoshi W. Masui, Tzu-Ching Chang, Julian E. Bautista | Summary: We present the joint analysis of Neutral Hydrogen (HI) Intensity Mapping observations with three galaxy samples: the Luminous Red Galaxy (LRG) and Emission Line Galaxy (ELG) samples from the eBOSS survey, and […]


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Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang | Summary: Optimising the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positive instances ranking before each positive instance. However, we […]


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WheaCha: A Method for Explaining the Predictions of Models of Code

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Ke Wang, Linzhang Wang, , | Summary: Attribution methods have emerged as a popular approach to interpreting model predictions based on the relevance of input features. Although the feature importance ranking can provide insights of how models arrive at a prediction from a raw input, […]


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How does the Polar Dust affect the Correlation between Dust Covering Factor and Eddington Ratio in Type 1 Quasars Selected from the Sloan Digital Sky Survey Data Release 16?

Kavli Affiliate: Claudio Ricci | First 5 Authors: Yoshiki Toba, Yoshihiro Ueda, Poshak Gandhi, Claudio Ricci, Denis Burgarella | Summary: We revisit the dependence of covering factor (CF) of dust torus on physical properties of active galactic nuclei (AGNs) by taking into account an AGN polar dust emission. The CF is converted from a ratio […]


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Realization of a multi-node quantum network of remote solid-state qubits

Kavli Affiliate: Ronald Hanson | First 5 Authors: Matteo Pompili, Sophie L. N. Hermans, Simon Baier, Hans K. C. Beukers, Peter C. Humphreys | Summary: The distribution of entangled states across the nodes of a future quantum internet will unlock fundamentally new technologies. Here we report on the experimental realization of a three-node entanglement-based quantum […]


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BAT AGN Spectroscopic Survey-XXIII. A New Mid-Infrared Diagnostic for Absorption in Active Galactic Nuclei

Kavli Affiliate: Claudio Ricci | First 5 Authors: Ryan W. Pfeifle, Claudio Ricci, Peter G. Boorman, Marko Stalevski, Daniel Asmus | Summary: In this study, we use the SWIFT/BAT AGN sample, which has received extensive multiwavelength follow-up analysis as a result of the BAT AGN Spectroscopic Survey (BASS), to develop a diagnostic for nuclear obscuration […]


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Introduction to Machine Learning for the Sciences

Kavli Affiliate: Eliska Greplova | First 5 Authors: Titus Neupert, Mark H Fischer, Eliska Greplova, Kenny Choo, Michael Denner | Summary: This is an introductory machine learning course specifically developed with STEM students in mind. We discuss supervised, unsupervised, and reinforcement learning. The notes start with an exposition of machine learning methods without neural networks, […]


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