492 citations
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8 papers · 1 filter
The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift
Julien Berestycki, Jiaqi Liu, Bastien Mallein +1
Consider branching Brownian motion with absorption in which particles move independently as one-dimensional Brownian motions with drift , each particle splits into two particle…
Cosmology from HSC Y1 Weak Lensing with Combined Higher-Order Statistics and Simulation-based Inference
Camila P. Novaes, Leander Thiele, Joaquin Armijo +7
We present cosmological constraints from weak lensing with the Subaru Hyper Suprime-Cam (HSC) first-year (Y1) data, using a simulation-based inference (SBI) method. % We explore th…
Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE
MicroBooNE collaboration, P. Abratenko, O. Alterkait +186
We present a deep learning-based method for estimating the neutrino energy of charged-current neutrino-argon interactions. We employ a recurrent neural network (RNN) architecture f…
Phase transition of the consistent maximal displacement of branching Brownian motion
Julien Berestycki, Jiaqi Liu, Bastien Mallein +1
Consider branching Brownian motion in which we begin with one particle at the origin, particles independently move according to Brownian motion, and particles split into two at rat…
Measurement of double-differential cross sections for mesonless charged-current muon neutrino interactions on argon with final-state protons using the MicroBooNE detector
MicroBooNE collaboration, P. Abratenko, O. Alterkait +185
Charged-current neutrino interactions with final states containing zero mesons and at least one proton are of high interest for current and future accelerator-based neutrino oscill…
Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure
Valentin Kilian, Tabea Rebafka, Fanny Villers
For the problem of inferring a Gaussian graphical model (GGM), this work explores the application of a recent approach from the multiple testing literature for graph inference. The…