5 papers
Profile Likelihoods in Cosmology: When, Why and How illustrated with CDM, Massive Neutrinos and Dark Energy
Laura Herold, Elisa G. M. Ferreira, Lukas Heinrich
Frequentist parameter inference using profile likelihoods has received increased attention in the cosmology literature recently since it can give important complementary informatio…
Data Preservation in High Energy Physics
Alexandre Arbey, Jamie Boyd, Daniel Britzger +45
Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful c…
Neural Simulation-Based Inference of the Neutron Star Equation of State directly from Telescope Spectra
Len Brandes, Chirag Modi, Aishik Ghosh +6
Neutron stars provide a unique opportunity to study strongly interacting matter under extreme density conditions. The intricacies of matter inside neutron stars and their equation…
Constructing model-agnostic likelihoods, a method for the reinterpretation of particle physics results
Lorenz Gärtner, Nikolai Hartmann, Lukas Heinrich +5
Experimental High Energy Physics has entered an era of precision measurements. However, measurements of many of the accessible processes assume that the final states' underlying ki…
Analysis Facilities White Paper
D. Ciangottini, A. Forti, L. Heinrich +63
This white paper presents the current status of the R&D for Analysis Facilities (AFs) and attempts to summarize the views on the future direction of these facilities. These views h…