Speakers
Description
An important aspect of experimental particle physics, and science in
general, is to perform analyses in a reproducible way. In addition to
providing the observational data, this also means that the statistical
models, which are usually formulated in terms of likelihood functions,
must be provided in an accessible form as well. Currently, sharing
statistical models between different programs and communities can be
cumbersome because there is no standardized exchange format. Different software packages and toolkits usually use fundamentally different
ways for representing data and models. We present the ”high energy
physics serialization standard” (HS3), a proposed standard, which is a
language-agnostic and software-independent format for saving statistical models in exchangeable files. HS3 makes it possible to share entire
analyses and to use them across software frameworks and methods so
results can be cross-checked and models can be reused in new contexts. We give a general introduction to the HS3 standard, its design
philosophy and semantics. In addition, we focus on the ongoing implementation of HS3 in ROOT, in Python, and the Julia programming
language for use in packages like BAT.jl.
| Title | HS3 - A serialization standard for statistical models in high energy physics |
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