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Scattering and Neutrino Detector at the LHC

Lesya Shchutska

We propose to build and operate a detector that will, for the first time, measure the process

p p \rightarrow \nu X

at the LHC and search for feebly interacting particles (FIPs) in an unexplored domain. The TI18 tunnel has been identified as a suitable s ...

CERN2020

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Stochastic homogenization of degenerate integral functionals with linear growth

Gaussian and sparse processes are limits of generalized Poisson processes

The n-term Approximation of Periodic Generalized Levy Processes

Causal inference in continuous time: an example on prostate cancer therapy

Scattering and Neutrino Detector at the LHC

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

The Decision Rule Approach to Optimisation under Uncertainty: Methodology and Applications

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Coordinate-Descent Diffusion Learning by Networked Agents

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Gaussian and sparse processes are limits of generalized Poisson processes

The n-term Approximation of Periodic Generalized Levy Processes

Coordinate-Descent Diffusion Learning by Networked Agents

Scattering and Neutrino Detector at the LHC

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

Causal inference in continuous time: an example on prostate cancer therapy

Stochastic homogenization of degenerate integral functionals with linear growth

The Decision Rule Approach to Optimisation under Uncertainty: Methodology and Applications

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems