Muon Identification using Neural Networks With the Muon Telescope Detector at STAR - INSPIRE

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Muon Identification using Neural Networks With the Muon Telescope Detector at STAR

STAR

Collaboration

•

James D. Brandenburg
(
- Rice U.
)

for the collaboration.

Feb, 2019

3 pages

Part of Proceedings, 27th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions (Quark Matter 2018) : Venice, Italy, May 14-19, 2018, 192-194

Published in:

Nucl.Phys.A 982 (2019) 192-194

Contribution to:

- Quark Matter 2018
, 192-194

Published: Feb, 2019

e-Print:

1908.05645 [physics.ins-det]

DOI:

10.1016/j.nuclphysa.2018.10.036

Experiments:

BNL-RHIC-STAR

View in:

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Abstract: (Elsevier)

The installation of the Muon Telescope Detector (MTD) at STAR allows a measurement of the dimuon ( μ + μ − ) production in heavy-ion collisions over a large invariant mass range for the first time. Data has been collected with the MTD from Au+Au collisions at sNN=200GeV and from p+p collisions at s=200GeV . These two datasets allow for new opportunities to measure the dimuon invariant mass spectra at STAR. Before any dimuon measurements can be made, muons must be identified. This contribution presents muon identification employing deep neural networks (DNN) and compares it with other multi-variate techniques. Applications of the DNN technique for data-driven purity measurements are discussed.

Muon
Neural Network
Muon Telescope Detector
STAR
Dimuon
muon: spectrometer
p p: scattering
nucleus nucleus: scattering
gold: nucleus
dimuon: mass spectrum

References(9)

Figures(14)

[1]

Experimental and theoretical challenges in the search for the quark gluon plasma: The STAR Collaboration's critical assessment of the evidence from RHIC collisions

STAR

Collaboration

•

John Adams
(
- Birmingham U.
)

et al.

- Nucl.Phys.A 757 (2005) 102-183
•
e-Print:
- nucl-ex/0501009
•
DOI:
- 10.1016/j.nuclphysa.2005.03.085

[2]

The PHOBOS perspective on discoveries at RHIC

PHOBOS

Collaboration

•

B.B. Back
(
- Argonne
)

et al.

- Nucl.Phys.A 757 (2005) 28-101
•
e-Print:
- nucl-ex/0410022
•
DOI:
- 10.1016/j.nuclphysa.2005.03.084

[3]

Quark gluon plasma and color glass condensate at RHIC? The Perspective from the BRAHMS experiment

BRAHMS

Collaboration

•

I. Arsene
(
- Bucharest U.
)

et al.

- Nucl.Phys.A 757 (2005) 1-27
•
e-Print:
- nucl-ex/0410020
•
DOI:
- 10.1016/j.nuclphysa.2005.02.130

[4]

Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: Experimental evaluation by the PHENIX collaboration

PHENIX

Collaboration

•

K. Adcox
(
- Vanderbilt U.
)

et al.

- Nucl.Phys.A 757 (2005) 184-283
•
e-Print:
- nucl-ex/0410003
•
DOI:
- 10.1016/j.nuclphysa.2005.03.086

[5]

Calibration and performance of the STAR Muon Telescope Detector using cosmic rays

et al.

- Nucl.Instrum.Meth.A 762 (2014) 1-6
•
e-Print:
- 1402.1078
•
DOI:
- 10.1016/j.nima.2014.05.075

[6]

Nucl.Instrum.Meth.,A499

M. Anderson

[7]

TMVA, the Toolkit for Multivariate Data Analysis with ROOT

H. Voss
(
- Heidelberg, Max Planck Inst.
)
,
Andreas Hocker
(
- CERN
)
,
J. Stelzer
(
- CERN
)
,
F. Tegenfeldt
(
- Iowa State U.
)

- PoS ACAT (2007) 040
•
DOI:
- 10.22323/1.050.0040

[8]

GEANT4 - A Simulation Toolkit

GEANT4

Collaboration

•

S. Agostinelli
(
- Genoa U.
)

et al.

- Nucl.Instrum.Meth.A 506 (2003) 250-303
•
DOI:
- 10.1016/S0168-9002(03)01368-8

[9]

Muon Identification with Muon Telescope Detector at the STAR Experiment

T.C. Huang
(
- Taiwan, Natl. Cheng Kung U.
)
,
R. Ma
(
- Brookhaven
)
,
B. Huang
(
- Illinois U., Chicago
)
,
X. Huang
(
- Tsinghua U., Beijing
)
,
L. Ruan
(
- Brookhaven
)

et al.

- Nucl.Instrum.Meth.A 833 (2016) 88-93
•
e-Print:
- 1601.02910
•
DOI:
- 10.1016/j.nima.2016.07.024