English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this article we examine recent developments in the research areaconcerning the creation of end-to-end models for the complete optimization ofmeasuring instruments. The models we consider rely on differentiableprogramming methods and on the specification of a software pipeline includingall factors impacting performance -- from the data-generating processes totheir reconstruction and the extraction of inference on the parameters ofinterest of a measuring instrument -- along with the careful specification of autility function well aligned with the end goals of the experiment.  Building on previous studies originated within the MODE Collaboration, wefocus specifically on applications involving instruments for particle physicsexperimentation, as well as industrial and medical applications that share thedetection of radiation as their data-generating mechanism.

Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming