Search

Home
News
Publications
People
Opportunities
For Members
Contact
Our LinkedIn
Our GitHub

Light Dark Automatic

Lukas Layer

Latest

Calorimetric Measurement of Multi-TeV Muons via Deep Regression
Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
Toward Machine Learning Optimization of Experimental Design
Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector

© 2026 - PHINDER Consortium. Funded by the European Union under Grant Agreement No. 101258353. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Innovation Council and SMEs Executive Agency (EISMEA). Neither the European Union nor EISMEA can be held responsible for them.

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.

Cite

Copy Download