Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Kavli Affiliate: Edward Kolb | Summary:Cosmological gravitational particle production (GPP) is a generic mechanism by which particles are produced during the inflationary epoch. In this work we consider the GPP of massive scalars in an effort to fully understand the spectrum of the produced particles. We consider scalars which are conformally or minimally coupled to […]


Continue.. Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Leah Jenks, Edward W. Kolb, Keyer Thyme, , | Summary: Cosmological gravitational particle production (GPP) is a generic mechanism by which particles are produced during the inflationary epoch. In this work we consider the GPP of massive scalars in an effort to fully understand the spectrum […]


Continue.. Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Leah Jenks, Edward W. Kolb, Keyer Thyme, , | Summary: Cosmological gravitational particle production (GPP) is a generic mechanism by which particles are produced during the inflationary epoch. In this work we consider the GPP of massive scalars in an effort to fully understand the spectrum […]


Continue.. Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Quantifying transcriptome turnover on phylogenies by modeling gene expression as a binary trait

Kavli Affiliate: Li Zhao | Authors: Ammon Thompson, Michael R. May, Ben Hopkins, Nerisa Riedl, Olga Barmina, Benjamin J. Liebeskind, Li Zhao, David Begun and Artyom Kopp | Summary: Changes in gene expression are a key driver of phenotypic evolution, leading to a persistent interest in the evolution of transcriptomes. Traditionally, gene expression is modeled […]


Continue.. Quantifying transcriptome turnover on phylogenies by modeling gene expression as a binary trait

Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

Kavli Affiliate: Jeremias Sulam | Authors: Zhenzhen Wang, Cesar A. Santa-Maria, Aleksander S. Popel and Jeremias Sulam | Summary: The tumor microenvironment is widely recognized for its central role in driving cancer progression and influencing prognostic outcomes. There have been increasing efforts dedicated to characterizing this complex and heterogeneous environment, including developing potential prognostic tools […]


Continue.. Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

Connecting Lyman-$α$ and ionizing photon escape in the Sunburst Arc

Kavli Affiliate: Michael D. Gladders | First 5 Authors: M. Riley Owens, Keunho J. Kim, Matthew B. Bayliss, T. Emil Rivera-Thorsen, Keren Sharon | Summary: We investigate the Lyman-$alpha$ (Ly$alpha$) and Lyman continuum (LyC) properties of the Sunburst Arc, a $z=2.37$ gravitationally lensed galaxy with a multiply-imaged, compact region leaking LyC and a triple-peaked Ly$alpha$ […]


Continue.. Connecting Lyman-$α$ and ionizing photon escape in the Sunburst Arc

A long-duration superflare on the K giant HD 251108

Kavli Affiliate: Michael Fausnaugh | Summary:Many giant stars are magnetically active, which causes rotational variability, chromospheric emission lines, and X-ray emission. Large outbursts in these emission features can set limits on the magnetic field strength and thus constrain the mechanism of the underlying dynamo. HD~251108 is a Li-rich active K-type giant. We find a rotational […]


Continue.. A long-duration superflare on the K giant HD 251108

Beyond the Phase Ordering Problem: Finding the Globally Optimal Code w.r.t. Optimization Phases

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: In this paper, we propose a new concept called textit{semantically equivalence} wrt textit{optimization phases} textit{(sep)}, which defines the set of programs a compiler considers semantically equivalent to the input using a set of optimization phases. We show both […]


Continue.. Beyond the Phase Ordering Problem: Finding the Globally Optimal Code w.r.t. Optimization Phases

Solving the Phase Ordering Problem $ne$ Generating the Globally Optimal Code

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: Phase ordering problem has been a long-standing challenge in compiler optimizations. Over the past four decades, a significant amount of effort has been devoted, and indeed, substantial progress has been made. However, in this paper, we raise questions […]


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How to evaluate your medical time series classification?

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang | Summary: Medical time series (MedTS) play a critical role in many healthcare applications, such as vital sign monitoring and the diagnosis of brain and heart diseases. However, the existence of subject-specific features poses unique challenges in […]


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