Meld: Exploring the Feasibility of a Framework-less Framework

TL;DR

Meld is a new framework-less approach using modern C++ and concurrency libraries to simplify data processing for neutrino physics experiments, reducing learning barriers and increasing flexibility.

Contribution

It introduces Meld, a flexible, framework-less data-processing framework tailored for neutrino experiments, leveraging modern C++ features to improve usability and adaptability.

Findings

Enables easier and more efficient data processing for neutrino experiments.

Reduces the learning curve for new physicists using the framework.

Supports flexible data models beyond traditional collider-based frameworks.

Abstract

HEP data-processing frameworks are essential ingredients in getting from raw data to physics results. But they are often tricky to use well, and they present a significant learning barrier for the beginning HEP physicist. In addition, existing frameworks typically support rigid, collider-based data models, which do not map well to neutrino-physics experiments like DUNE. Neutrino physicists thus expend significant effort working around framework limitations instead of using a framework that directly supports their needs. Presented here is Meld, a Fermilab R&D project, which intends to address these limitations. By leveraging modern C++ capabilities, state-of-the-art concurrency libraries, and a flexible data model, it is possible for beginning (and seasoned) HEP physicists to execute framework programs easily and efficiently, with minimal coupling to framework-specific constructs. Meld aims to directly support the frameworks needs of neutrino experiments like DUNE as well as the more common collider-based experiments.