Object detection with deep learning for rare event search in the GADGET II TPC
Artikel i vetenskaplig tidskrift, 2025
In the pursuit of identifying rare two-particle events within the GADGET II Time Projection Chamber (TPC), this paper presents a comprehensive approach for leveraging Convolutional Neural Networks (CNNs) and various data processing methods. To address the inherent complexities of 3D TPC track reconstructions, the data is expressed in 2D projections and 1D quantities. This approach capitalizes on the diverse data modalities of the TPC, allowing for the efficient representation of the distinct features of the 3D events, with no loss in topology uniqueness. Additionally, it leverages the computational efficiency of 2D CNNs and benefits from the extensive availability of pre-trained models. Given the scarcity of real training data for the rare events of interest, simulated events are used to train the models to detect real events. To account for potential distribution shifts when predominantly depending on simulations, significant perturbations are embedded within the simulations. This produces a broad parameter space that works to account for potential physics parameter and detector response variations and uncertainties. These parameter-varied simulations are used to train sensitive 2D CNN object detectors. When combined with 1D histogram peak detection algorithms, this multi-modal detection framework is highly adept at identifying rare, two-particle events in data taken during experiment 21072 at the Facility for Rare Isotope Beams (FRIB), demonstrating a 100% recall for events of interest. We present the methods and outcomes of our investigation and discuss the potential future applications of these techniques.
Object detection
Convolutional neural network
Rare event detection
GADGET
Machine learning
Time projection chamber
Författare
Tyler Wheeler
Michigan State University
S. Ravishankar
Michigan State University
C. Wrede
Michigan State University
A. Andalib
Michigan State University
A. Anthony
Michigan State University
High Point University
Y. Ayyad
Michigan State University
Universidade de Santiagode Compostela
B. Jain
Michigan State University
A. Jaros
Michigan State University
R. Mahajan
Michigan State University
L. Schaedig
Michigan State University
A. Adams
Michigan State University
S. Ahn
Institute for Basic Science
J. M. Allmond
Oak Ridge National Laboratory
D. Bardayan
University of Notre Dame
D. Bazin
Michigan State University
K. Bosmpotinis
Michigan State University
T. Budner
Argonne National Laboratory
S. R. Carmichael
University of Notre Dame
S. M. Cha
Institute for Basic Science
A. Chen
McMaster University
K. A. Chipps
Oak Ridge National Laboratory
J. M. Christie
University of Tennessee
I. Cox
University of Tennessee
J. Dopfer
Michigan State University
M. Friedman
The Hebrew University Of Jerusalem
J. Garcia-Duarte
Lawrence Livermore National Laboratory
E. Good
Michigan State University
T. J. Gray
Oak Ridge National Laboratory
University of Tennessee
A. Green
The Hebrew University Of Jerusalem
R. Grzywacz
University of Tennessee
K. Hahn
Institute for Basic Science
R. Jain
Michigan State University
Erik Asbjörn Mikkelsen Jensen
Chalmers, Fysik, Subatomär, högenergi- och plasmafysik
Aarhus Universitet
T. King
Oak Ridge National Laboratory
S. N. Liddick
Michigan State University
B. Longfellow
Lawrence Livermore National Laboratory
R. Lubna
Michigan State University
C. Marshall
Ohio University
Michigan State University
Y. Mishnayot
Lawrence Livermore National Laboratory
A. J. Mitchell
Australian National University
F. Montes
Michigan State University
T. H. Ogunbeku
Michigan State University
Mississippi State University
Lawrence Livermore National Laboratory
J. Owens-Fryar
Michigan State University
S. D. Pain
Oak Ridge National Laboratory
University of Tennessee
J. Pereira
Michigan State University
E. Pollacco
Institut de Recherche sur les Lois Fondamentales de l'Univers
A. M. Rogers
University of Massachusetts Lowell
M. Z. Serikow
Michigan State University
K. Setoodehnia
Michigan State University
L. J. Sun
Michigan State University
J. Surbrook
Michigan State University
A. Tsantiri
Michigan State University
L. E. Weghorn
Michigan State University
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
0168-9002 (ISSN)
Vol. 1080 170659Ämneskategorier (SSIF 2025)
Subatomär fysik
DOI
10.1016/j.nima.2025.170659