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Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for...

Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2579212257

Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles

About this item

Full title

Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

We present the novel implementation of a non-differentiable metric approximation and a corresponding loss-scheduling aimed at the search for new particles of unknown mass in high energy physics experiments. We call the loss-scheduling, based on the minimisation of a figure-of-merit related function typical of particle physics, a Punzi-loss function...

Alternative Titles

Full title

Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2579212257

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2579212257

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2110.00810

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