Extracting cosmological information from the abundance of galaxy clusters with simulation-based inference

Kavli Affiliate: Anthony Challinor | First 5 Authors: Íñigo Zubeldia, Boris Bolliet, Anthony Challinor, William Handley, | Summary: The abundance of galaxy clusters as a function of mass and redshift is a well-established and powerful cosmological probe. Cosmological analyses based on galaxy cluster number counts have traditionally relied on explicitly computed likelihoods, which are often […]


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AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification

Kavli Affiliate: Cheng Peng | First 5 Authors: Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao | Summary: Time series classification (TSC) is an important task in time series analysis. Existing TSC methods mainly train on each single domain separately, suffering from a degradation in accuracy when the samples for training are insufficient […]


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Rapid and Late Cosmic Reionization Driven by Massive Galaxies: a Joint Analysis of Constraints from 21-cm, Lyman Line & CMB Data Sets

Kavli Affiliate: George Efstathiou | First 5 Authors: Peter H. Sims, Harry T. J. Bevins, Anastasia Fialkov, Dominic Anstey, Will J. Handley | Summary: Observations of the Epoch of Reionization (EoR) have the potential to answer long-standing questions of astrophysical interest regarding the nature of the first luminous sources and their effects on the intergalactic […]


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The X-ray statistical properties of dust-obscured galaxies detected by eROSITA

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Akatoki Noboriguchi, Kohei Ichikawa, Yoshiki Toba, Tom Dwelly, Kohei Inayoshi | Summary: Dust-obscured galaxies (DOGs) are considered to be in a co-evolution phase, with the associated active galactic nuclei (AGN) obscured by dust and gas. Although the DOGs are thought to harbor rapidly growing SMBHs, their X-ray […]


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Sample Efficient Algorithms for Linear System Identification under Noisy Observations

Kavli Affiliate: Jia Liu | First 5 Authors: Yuyang Zhang, Xinhe Zhang, Jia Liu, Na Li, | Summary: In this paper, we focus on learning linear dynamical systems under noisy observations. In this setting, existing algorithms either yield biased parameter estimates, or suffer from large sample complexities. To address these issues, we adapt the instrumental […]


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The Effect of Nonlinear Gravity on the Cosmological Background During Preheating

Kavli Affiliate: Joshua Frieman | First 5 Authors: Ryn Grutkoski, Hayley J. Macpherson, John T. Giblin Jr, Joshua Frieman, | Summary: We use numerical relativity to study the violent preheating era at the end of inflation. This epoch can result in highly nonlinear fluctuations in density and gravitational potential which feed back onto the averaged […]


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Vascular endothelial-specific loss of TGF-beta signaling as a model for choroidal neovascularization and central nervous system vascular inflammation

Kavli Affiliate: Jeremy Nathans | Authors: Yanshu Wang, Amir Rattner, Zhongming Li, Philip M Smallwood and Jeremy Nathans | Summary: Cajal-Retzius (CR) cells are glutamatergic neurons that transiently populate the most superficial layer of the isocortex and allocortex during development, serving an essential role during both prenatal and early postnatal brain development. Notably, these cells […]


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α7 nicotinic acetylcholine receptors regulate radial glia fate in the developing human cortex

Kavli Affiliate: Arnold R. Kriegstein | Authors: Tanzila Mukhtar, Clara-Vita Siebert, Yuejun Wang, Mark-Phillip Pebworth, Matthew L. White, Tianzhi Wu, Tan Ieng Huang, Guolong Zuo, Jayden Ross, Jennifer Baltazar, Varun Upadhyay, Merut Shankar, Li Zhou, Isabel Lombardi-Coronel, Ishaan Mandala, Manal A. Adam, Shaohui Wang, Qiuli Bi, Marco F.M. Hoekman, Jingjing Li and Arnold Kriegstein | […]


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Gate-tunable electroresistance in a sliding ferroelectric tunnel junction

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Bozo Vareskic, Finn G. Kennedy, Takashi Taniguchi, Kenji Watanabe, Kenji Yasuda | Summary: We fabricate and measure electrically-gated tunnel junctions in which the insulating barrier is a sliding van der Waals ferroelectric made from parallel-stacked bilayer hexagonal boron nitride and the electrodes are single-layer graphene. Despite […]


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A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English

Kavli Affiliate: Xian Chen | First 5 Authors: Julian Bäumler, Louis Blöcher, Lars-Joel Frey, Xian Chen, Markus Bayer | Summary: The dissemination of online hate speech can have serious negative consequences for individuals, online communities, and entire societies. This and the large volume of hateful online content prompted both practitioners’, i.e., in content moderation or […]


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