1 code implementation • 25 Sep 2023 • Mikael Mieskolainen
Combinatorial inverse problems in high energy physics span enormous algorithmic challenges.
3 code implementations • 14 Oct 2019 • 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.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 14 Oct 2019 • 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++.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 29 May 2019 • 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.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 5 Nov 2018 • Mikael Mieskolainen
We discuss novel ways to probe high energy diffraction, first inclusive diffraction and then central exclusive processes at the LHC.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 17 Sep 2018 • 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.
2 code implementations • 3 Dec 2016 • Mikael Mieskolainen, Risto Orava
A new combinatorial vector space measurement model is introduced for soft QCD diffraction.
High Energy Physics - Phenomenology High Energy Physics - Experiment