| Zusammenfassung: |
In experiments such as Belle II, we rely on large Monte Carlo simulations to model background processes.
Producing these simulations takes months on distributed computing systems, so they cannot be regenerated frequently.
At the same time, our knowledge of how particles decay improves over time as new measurements are made.
Existing simulations that use this information do not automatically reflect these improvements and therefore become outdated.
This leads to a mismatch between the decay information used in existing simulations and current experimental knowledge.
In this project, you will develop a software framework that compares the decay information stored in simulated events with up to date decay information.
Based on this comparison, the framework will apply corrections or reweightings to the outdated simulation output without rerunning the full simulation again.
Using the rare decay B → K τ+ τ- as a primary use case, you will study the impact of these updates on signal sensitive physics observables.
In such rare decay channels, even small mismodeling of dominant background branching fractions can fake a new physics signal or hide a real effect.
|
