14 papers
Interpretable machine learning of magnetic transition temperature in Heusler magnets via hierarchical dependence extraction
Jean-Baptiste Morée, Ryotaro Arita, Juba Bouaziz
We employ interpretable machine learning to analyze the material dependence of the magnetic transition temperature in ferromagnetic and ferrimagnetic Heusler compounds. For o…
Euclid preparation. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters
Euclid Collaboration, R. Ingrao, S. Borgani +280
We present \texttt{CosmoPostProcess}, a simulation-based forward-modelling algorithm calibrated to reproduce Euclid optical cluster observables. Its main deliverable is a correctio…
Euclid preparation. Galaxy power spectrum and bispectrum modelling
Euclid Collaboration, K. Pardede, A. Eggemeier +306
Higher-order correlation functions of the large-scale galaxy distribution offer access to information beyond that contained in standard 2-point statistics such as the power spectru…
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses
Euclid Collaboration, L. R. Ecker, M. Fabricius +346
We present 72 additional galaxy-galaxy strong lenses that complement the sample discovered in the Euclid Quick Release 1 data (63.1 deg^2) of the Strong Lens Discovery Engine (SLDE…
Itinerant Orbital Hall Effect Mechanism Leading to Large Negative Orbital Torques from Light Metal Vanadium
Nikhil Vijayan, Durgesh Kumar, Ao Du +13
The orbital Hall effect (OHE) has attracted significant attention for developing energy-efficient electronic devices. However, utilizing it in fast, low-power devices requires an e…
Backward-angle electroproduction of mesons off protons at and
T. Akiyama, P. Bydžovský, T. Gogami +83
The electroproduction of mesons from a target at , and $\cos θ^{\text{CM}}_{γ^{*}η'} \app…