61 citations · 94 across the 8 of their papers we have counts for
9 papers
Bias-Free Estimation of Signals on Top of Unknown Backgrounds
Johannes Diehl, Jakob Knollmüller, Oliver Schulz
We present a method for obtaining unbiased signal estimates in the presence of a significant unknown background, eliminating the need for a parametric model for the background itse…
Potential of the Julia programming language for high energy physics computing
J. Eschle, T. Gal, M. Giordano +15
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage. To meet these requirements, a…
New constraints on the up-quark valence distribution in the proton
Ritu Aggarwal, Michiel Botje, Allen Caldwell +2
The high- data from the ZEUS Collaboration are used to extract parton density distributions of the proton deep in the perturbative regime of QCD. The data primarily constrain th…
Discovering neutrinoless double-beta decay in the era of precision neutrino cosmology
Manuel Ettengruber, Matteo Agostini, Allen Caldwell +2
We evaluate the discovery probability of a combined analysis of proposed neutrinoless double-beta decay experiments in a scenario with normal ordered neutrino masses. The discovery…
Surface characterization of p-type point contact germanium detectors
F. Edzards, L. Hauertmann, I. Abt +7
P-type point contact (PPC) germanium detectors are used in rare event and low-background searches, including neutrinoless double beta (0vbb) decay, low-energy nuclear recoils, and…
Parallelizing MCMC Sampling via Space Partitioning
Vasyl Hafych, Philipp Eller, Oliver Schulz +1
Efficient sampling of many-dimensional and multimodal density functions is a task of great interest in many research fields. We describe an algorithm that allows parallelizing inhe…
Infections and Identified Cases of COVID-19 from Random Testing Data
Allen Caldwell, Vasyl Hafych, Oliver SChulz +1
There are many hard-to-reconcile numbers circulating concerning Covid-19. Using reports from random testing, the fatality ratio per infection is evaluated and used to extract furth…
Integration with an Adaptive Harmonic Mean Algorithm
Allen Caldwell, Philipp Eller, Vasyl Hafych +3
Numerically estimating the integral of functions in high dimensional spaces is a non-trivial task. A oft-encountered example is the calculation of the marginal likelihood in Bayesi…
A Global Bayesian Analysis of Neutrino Mass Data
Allen Caldwell, Manuel Ettengruber, Alexander Merle +2
We perform a global Bayesian analysis of currently available neutrino data, putting data from oscillation experiments, neutrinoless double beta decay (), and precision cosmol…