2 citations · 3 across the 4 of their papers we have counts for
7 papers
Statistical techniques to estimate the SARS-CoV-2 infection fatality rate
Mikael Mieskolainen, Robert Bainbridge, Oliver Buchmueller +2
The determination of the infection fatality rate (IFR) for the novel SARS-CoV-2 coronavirus is a key aim for many of the field studies that are currently being undertaken in respon…
GRANIITTI: A Monte Carlo Event Generator for High Energy Diffraction
Mikael Mieskolainen
We describe the physics and computational power of GRANIITTI Monte Carlo event generator, a new fully multithreaded engine designed for high energy diffraction, written in modern C…
Combinatorial Superstatistics for Soft QCD
Mikael Mieskolainen
High energy diffraction and soft QCD span exciting final state topologies and fluctuations which have not yet been measured or characterized in a fully exhaustive way. In this work…
On the Inversion of High Energy Proton
Mikael Mieskolainen
Inversion of the K-fold stochastic autoconvolution integral equation is an elementary nonlinear problem, yet there are no de facto methods to solve it with finite statistics. To fi…
Algorithmics of Diffraction
Mikael Mieskolainen
We discuss novel ways to probe high energy diffraction, first inclusive diffraction and then central exclusive processes at the LHC. Our new Monte Carlo synthesis and analysis fram…
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC
Mikael Mieskolainen
We introduce a new high dimensional algorithm for efficiency corrected, maximally Monte Carlo event generator independent fiducial measurements at the LHC and beyond. The approach…