Germany.

The mass discrepancy problem in massive stars: an inferential perspective

Bayesian inference has become a standard tool for inferring stellar parameters from stellar evolution models. However, comparatively little attention has been paid to how alternative Bayesian likelihood formulations influence inferred stellar parameters, and the resulting evolutionary mass discrepancy for massive main...

Courant Research Centre ‘Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis’

Courant Research Centre ‘Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis’

remage: a Geant4-based simulation framework for low-background experiments

Monte Carlo simulations are an essential tool for data modeling and experimental design in low-background physics. These simulations typically demand a considerable effort, with each collaboration developing and maintaining its own complex Geant4 application. In this paper we present the design and validation of remage...

Courant Research Centre ‘Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis’

Sensemaking of physics equations: Rationale, conceptualization, and core strategies

In physics instruction, equations are often treated primarily as tools for obtaining numerical results. Yet physicists also use them to describe dependencies, explain why those dependencies hold, predict what happens in new situations, test expressions against physical knowledge, and explore consequences that are not i...

Emulating non-Markovian system-bath dynamics with parametrically driven cavities

We introduce and characterize a scheme for emulating non-Markovian quantum system-bath dynamics using the discrete electromagnetic field modes of a parametrically driven cavity. In this scheme, the character of a bosonic bath (the form of the bath spectral density) is tied directly to the shape of the real-time wavefor...

Active Visual Semantics: A large-scale MEG and eye-tracking dataset for understanding visual intelligence in action

Here we present the Active Visual Semantics (AVS) dataset, a large-scale collection of magnetoencephalography (MEG) and eye-tracking data recorded while five participants freely explored 4,080 natural scenes over 10 sessions each, yielding more than 200,000 fixation epochs in total. Unlike existing neuroimaging dataset...

Best practices in software citation

Software is both a foundational tool and a primary output of modern computational research, yet citation practices for software remain inconsistent, incomplete, and rarely machine-actionable. Existing infrastructure designed for paper and data citation does not adequately serve the distinct needs of software citation,...

Machine Learning of First Principles Observables

Multidimensional Double Refraction Microscopy

Multidimensional optical microscopy - extracting 3D location, orientation, and spectral information from nanoscale emitters - is key to modern nanoscience. However, this multidimensional capability requires complex instrumental setups, demanding exceptional stability and specialized expertise in optics. Here, we overco...

Refactoring the SIXTE simulator: Towards a more modular code base

This proceeding highlights some of the design choices used during the refactoring as well as its effects on maintenance and new feature development one year after release of the refactored code base.