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

**URL:** https://discourse.julialang.org/t/progress-in-end-to-end-optimization-of-detectors-for-fundamental-physics-with-differentiable-programming/111024
**Category:** High Energy Physics
**Created:** [March 1, 2024, 4:41pm UTC](https://discourse.julialang.org/t/progress-in-end-to-end-optimization-of-detectors-for-fundamental-physics-with-differentiable-programming/111024 "2024-03-01T16:41:42Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)
#### Post date: [March 1, 2024, 4:41pm UTC](https://discourse.julialang.org/t/progress-in-end-to-end-optimization-of-detectors-for-fundamental-physics-with-differentiable-programming/111024/1 "2024-03-01T16:41:42Z")

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This looks to be a very interesting paper

[https://lss.fnal.gov/archive/2023/pub/fermilab-pub-23-608-csaid-ppd.pdf](https://lss.fnal.gov/archive/2023/pub/fermilab-pub-23-608-csaid-ppd.pdf)

In this article we examine recent developments in the research area  
concerning the creation of end-to-end models for the complete optimization  
of measuring instruments. The models we consider rely on diferentiable  
programming methods and on the specifcation of a software pipeline including  
all factors impacting performance—from the data-generating processes to  
their reconstruction and the extraction of inference on the parameters of  
interest of a measuring instrument—along with the careful specifcation of a  
utility function well aligned with the end goals of the experiment.  
Building on previous studies originated within the MODE Collaboration,  
we focus specifcally on applications involving instruments for particle physics  
experimentation, as well as industrial and medical applications that share  
the detection of radiation as their data-generating mechanism.