Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC - INSPIRE

DataBETA

Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

CMS

Collaboration

Feb 18, 2025

51 pages

e-Print:

2502.13047 [hep-ex]

Report number:

CMS-MLG-23-005,
CERN-EP-2025-005

Experiments:

CERN-LHC-CMS

View in:

reference search0 citations

Citations per year

0 Citations

Abstract: (arXiv)

We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towards neural network multiclass classification. The procedure is evaluated on the realistic case of the measurement of Higgs boson production via gluon fusion and vector boson fusion in the

\tau\tau

decay channel at the CMS experiment. The neural network output functions are used to infer the signal strengths for inclusive production of Higgs bosons as well as for their production via gluon fusion and vector boson fusion. We observe improvements of 12 and 16% in the uncertainty in the signal strengths for gluon and vector-boson fusion, respectively, compared with a conventional neural network training based on cross-entropy.

Note:

Submitted to Computing and Software for Big Science. All figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/MLG-23-005 (CMS Public Pages)

References(68)

Figures(16)

[1]

Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

ATLAS

Collaboration

•

Georges Aad
(
- Freiburg U.
)

et al.

- Phys.Lett.B 716 (2012) 1-29
•
e-Print:
- 1207.7214
•
DOI:
- 10.1016/j.physletb.2012.08.020

[2]

Observation of a New Boson at a Mass of 125 GeV with the CMS Experiment at the LHC

CMS

Collaboration

•

Serguei Chatrchyan
(
- Yerevan Phys. Inst.
)

et al.

- Phys.Lett.B 716 (2012) 30-61
•
e-Print:
- 1207.7235
•
DOI:
- 10.1016/j.physletb.2012.08.021

[3]

Observation of a New Boson with Mass Near 125 GeV in $pp$ Collisions at $\sqrt{s}$ = 7 and 8 TeV

CMS

Collaboration

•

Serguei Chatrchyan
(
- Yerevan Phys. Inst.
)

et al.

- JHEP 06 (2013) 081
•
e-Print:
- 1303.4571
•
DOI:
- 10.1007/JHEP06(2013)081

[4]

A portrait of the Higgs boson by the CMS experiment ten years after the discovery.

CMS

Collaboration

•

Armen Tumasyan
(
- Tbilisi, Inst. Phys.
)

et al.

- Nature 607 (2022) 7917, 60-68,
- Nature 623 (2023) 7985, E4 (erratum)
•
e-Print:
- 2207.00043
•
DOI:
- 10.1038/s41586-022-04892-x

[4]

A portrait of the Higgs boson by the CMS experiment ten years after the discovery.

CMS

Collaboration

•

Armen Tumasyan
(
- Tbilisi, Inst. Phys.
)

et al.

- Nature 607 (2022) 7917, 60-68,
- Nature 623 (2023) 7985, E4 (erratum)
•
e-Print:
- 2207.00043
•
DOI:
- 10.1038/s41586-022-04892-x

[5]

Characterising the Higgs boson with ATLAS data from the LHC Run-2

ATLAS

Collaboration

•

Georges Aad
(
- Marseille, CPPM
)

et al.

- Phys.Rept. 1116 (2025) 4-56
•
e-Print:
- 2404.05498
•
DOI:
- 10.1016/j.physrep.2024.11.001

[6]

Measurements of Higgs bosons decaying to bottom quarks from vector boson fusion production with the ATLAS experiment at $\sqrt{s}=13\,\text {TeV}$

ATLAS

Collaboration

•

Georges Aad
(
- Marseille, CPPM
)

et al.

- Eur.Phys.J.C 81 (2021) 6, 537
•
e-Print:
- 2011.08280
•
DOI:
- 10.1140/epjc/s10052-021-09192-8

[7]

Measurement of simplified template cross sections of the Higgs boson produced in association with $W$ or $Z$ bosons in the $H \to b \bar{b}$ decay channel in proton-proton collisions at $\sqrt{s} = 13 TeV$

CMS

Collaboration

•

Armen Tumasyan
(
- Yerevan Phys. Inst.
)

et al.

- Phys.Rev.D 109 (2024) 9, 092011
•
e-Print:
- 2312.07562
•
DOI:
- 10.1103/PhysRevD.109.092011

[8]

Measurements of Higgs boson production in the decay channel with a pair of $\tau$ leptons in proton–proton collisions at $\sqrt{s}=13$ TeV

CMS

Collaboration

•

Armen Tumasyan
(
- Yerevan Phys. Inst. and
- Yerevan State U.
)

et al.

- Eur.Phys.J.C 83 (2023) 7, 562
•
e-Print:
- 2204.12957
•
DOI:
- 10.1140/epjc/s10052-023-11452-8

[9]

Differential cross-section measurements of Higgs boson production in the H → τ $^{+}$ τ $^{−}$ decay channel in pp collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector

ATLAS

Collaboration

•

Georges Aad
(
- Marseille, CPPM
)

et al.

- JHEP 03 (2025) 010,
- JHEP 03 (2025) 010
•
e-Print:
- 2407.16320
•
DOI:
- 10.1007/JHEP03(2025)010

[10]

Rational decisions

I.J. Good

- J.Roy.Statist.Soc.B 14 (1952) 107
•
DOI:
- 10.1111/j.2517-6161.1952.tb00104.x

[11]

Computing likelihood functions for high-energy physics experiments when distributions are defined by simulators with nuisance parameters

R.M. Neal

•
DOI:
- 10.5170/CERN-2008-001.111

[12]

Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Kyle Cranmer
(
- New York U.
)
,
Juan Pavez
(
- Santa Maria U., Valparaiso
)
,
Gilles Louppe
(
- New York U.
)

e-Print:
- 1506.02169

[13]

INFERNO: Inference-Aware Neural Optimisation

Pablo De Castro
(
- INFN, Padua
)
,
Tommaso Dorigo
(
- INFN, Padua
)

- Comput.Phys.Commun. 244 (2019) 170-179
•
e-Print:
- 1806.04743
•
DOI:
- 10.1016/j.cpc.2019.06.007

[14]

Optimal Statistical Inference in the Presence of Systematic Uncertainties Using Neural Network Optimization Based on Binned Poisson Likelihoods with Nuisance Parameters

Stefan Wunsch
(
- CERN and
- KIT, Karlsruhe, ETP
)
,
Simon Jörger
,
Roger Wolf
(
- KIT, Karlsruhe, ETP
)
,
Günter Quast
(
- KIT, Karlsruhe, ETP
)

- Comput.Softw.Big Sci. 5 (2021) 1, 4,
- Comput.Softw.Big Sci. 5 (2021) 1, 4
•
e-Print:
- 2003.07186
•
DOI:
- 10.1007/s41781-020-00049-5

[15]

neos: End-to-End-Optimised Summary Statistics for High Energy Physics

Nathan Simpson
(
- Lund U.
)
,
Lukas Heinrich
(
- Munich, Tech. U.
)

- J.Phys.Conf.Ser. 2438 (2023) 1, 012105
•
e-Print:
- 2203.05570
•
DOI:
- 10.1088/1742-6596/2438/1/012105

[16]

On the Mathematical Foundations of Theoretical Statistics

R.A. Fisher

- Phil.Trans.Roy.Soc.Lond.A 222 (1922) 309-368
•
DOI:
- 10.1098/rsta.1922.0009

[17]

Mathematical methods of statistics

H. Cramer

[18]

Information and the accuracy attainable in the estimation of statistical parameters

C.R. Rao

[19]

Performance of the CMS Level-1 trigger in proton-proton collisions at $\sqrt{s} =$ 13 TeV

CMS

Collaboration

•

Albert M Sirunyan
(
- Yerevan Phys. Inst.
)

et al.

- JINST 15 (2020) 10, P10017
•
e-Print:
- 2006.10165
•
DOI:
- 10.1088/1748-0221/15/10/P10017

[20]

The CMS trigger system

CMS

Collaboration

•

Vardan Khachatryan
(
- Yerevan Phys. Inst.
)

et al.

- JINST 12 (2017) 01, P01020
•
e-Print:
- 1609.02366
•
DOI:
- 10.1088/1748-0221/12/01/P01020

[21]

Performance of the CMS high-level trigger during LHC Run 2

CMS

Collaboration

•

A. Hayrapetyan
(
- Yerevan Phys. Inst.
)

et al.

- JINST 19 (2024) 11, P11021
•
e-Print:
- 2410.17038
•
DOI:
- 10.1088/1748-0221/19/11/P11021

[22]

The CMS Experiment at the CERN LHC

CMS

Collaboration

•

S. Chatrchyan
(
- Yerevan Phys. Inst.
)

et al.

- JINST 3 (2008) S08004
•
DOI:
- 10.1088/1748-0221/3/08/S08004

[23]

Particle-flow reconstruction and global event description with the CMS detector

CMS

Collaboration

•

A.M. Sirunyan

et al.

- JINST 12 (2017) 10, P10003
•
e-Print:
- 1706.04965
•
DOI:
- 10.1088/1748-0221/12/10/P10003

[24]

Technical Proposal for the Phase-II Upgrade of the CMS Detector

DOI:
- 10.17181/CERN.VU8I.D59J

1-25 of 68
1
2
3
25 / page