SciPost Submission Page
POPxf: An Exchange Format for Polynomial Observable Predictions
by Ilaria Brivio, Ken Mimasu, Peter Stangl, Anke Biekötter, Ana R. Cueto Gómez, Charlotte Knight, Luca Mantani, Eleonora Rossi, Alejo N. Rossia, Aleks Smolkovič
Submission summary
| Authors (as registered SciPost users): | Ken Mimasu |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2511.17348v1 (pdf) |
| Code repository: | https://github.com/pop-xf |
| Data repository: | https://github.com/pop-xf |
| Date submitted: | Dec. 2, 2025, 11 a.m. |
| Submitted by: | Ken Mimasu |
| Submitted to: | SciPost Physics Community Reports |
| for consideration in Collection: |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approaches: | Theoretical, Experimental, Computational, Phenomenological |
Abstract
We introduce the Polynomial Observable Prediction Exchange Format, POPxf, a structured, machine-readable data format for the publication and exchange of semi-analytical theoretical predictions in high energy physics. The format is designed to encode observables that can be expressed in terms of polynomials in model parameters, with particular emphasis on Effective Field Theory applications. All relevant assumptions and metadata are recorded explicitly, and the treatment of uncertainties and correlations is flexible enough to capture parameter-dependent effects. The format aims to improve reproducibility, facilitate global fits and reinterpretations, and streamline the use of theoretical predictions across the particle physics community.
Current status:
In refereeing