Factorizing Hidden Particle Production Rates
Philipp Klose

TL;DR
The paper introduces a factorization method for calculating hidden particle production rates, separating model-independent SM contributions from observable-independent hidden sector effects, enabling efficient reuse and constraint extraction.
Contribution
It presents a novel factorization approach that simplifies hidden particle production calculations and is compatible with EFT and simplified models.
Findings
Derived model-independent constraints on the form factor $F_e$ for decays into positrons.
Demonstrated the method with charged kaon decay rates involving hidden particles.
Found a universal form factor $F_{ ext{ell}}$ that encapsulates hidden sector effects.
Abstract
A method is proposed to streamline the computation of hidden particle production rates by factorizing them into i) a model-independent SM contribution, and ii) a observable-independent hidden sector contribution. The Standard Model (SM) contribution can be computed once for each observable and re-used for a wide array of hidden sector models, while the hidden sector contribution can be computed once for each model, and re-used for a wide array of observables. The SM contribution also facilitates extracting model independent constraints on hidden particle production. The method is compatible with effective field theory (EFT) and simplified model approaches. It is illustrated by factorizing the rate of charged kaon decays into a charged lepton and a number of hidden particles, and a single form factor is found to parametrize the impact of general hidden sectors. We derive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDark Matter and Cosmic Phenomena · Neutrino Physics Research · Particle Detector Development and Performance
