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314 papers · 1 filter
Timing Performance of the CMS High Granularity Calorimeter Prototype
CMS HGCAL collaboration
This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibra…
Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study
Eric Rawls, Bryan Andrews, Kelvin Lim +1
Designing studies that apply causal discovery requires navigating many researcher degrees of freedom. This complexity is exacerbated when the study involves fMRI data. In this pape…
Large- Solution and Effective Action of "Twisted-Mass'' Deformed Model
G. Sumbatian, E. Ievlev, A. Yung
We study effective dynamics of the non-supersymmetric two-dimensional model in the large limit. This model is deformed by a mass term preserving $\mathbb…
Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
Kyle Noordhoek, Christopher J. Bartel
The surface properties of solid-state materials often dictate their functionality, especially for applications where nanoscale effects become important. The relevant surface(s) and…
The MatrixSchubert package for Macaulay2
Ayah Almousa, Sean Grate, Daoji Huang +4
We introduce the MatrixSchubert package for the computer algebra system Macaulay2. This package has tools to construct and study matrix Schubert varieties and alternating sign matr…
Brain-optimized inference improves reconstructions of fMRI brain activity
Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves +1
The release of large datasets and developments in AI have led to dramatic improvements in decoding methods that reconstruct seen images from human brain activity. We evaluate the p…