Michael Soughton - INSPIRE

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Michael Soughton

Author Identifier: M.Soughton.1

Updated on Aug 18, 2021

Literature(3)

Cited By

Date of paper

20192023

Number of authors

Single author

1

10 authors or less

3

Exclude RPP

Exclude Review of Particle Physics

3

Document Type

article

2

published

2

thesis

1

Collaborators

Veronica Sanz

2

Charanjit Kaur Khosa

2

Affiliations

Sussex U.

2

U. Valencia (main)

1

3 results

Citation Summary

Most Recent

Advancing the search for fundamental theories of nature within particle physics with machine learning

#1

Michael Soughton
(
- Sussex U.
)

(Jun 6, 2023)

reference search0 citations

A simple guide from machine learning outputs to statistical criteria in particle physics

#2

Charanjit Kaur Khosa
(
- Bristol U.
)
,
Veronica Sanz
(
- Valencia U., IFIC and
- U. Valencia (main)
)
,
Michael Soughton
(
- U. Valencia (main)
)

(Mar 7, 2022)

Published in:
- SciPost Phys.Core 5 (2022) 050
•
e-Print:
- 2203.03669 [hep-ph]

reference search8 citations

Using machine learning to disentangle LHC signatures of Dark Matter candidates

#3

Charanjit Kaur Khosa
(
- Sussex U.
)
,
Veronica Sanz
(
- Sussex U. and
- Valencia U., IFIC
)
,
Michael Soughton
(
- Sussex U.
)

(Oct 14, 2019)

Published in:
- SciPost Phys. 10 (2021) 6, 151
•
e-Print:
- 1910.06058 [hep-ph]

reference search20 citations

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