Identification of proton and gamma in LHAASO-KM2A simulation data with deep learning algorithms
Identification of proton and gamma plays an essential role in ultra-high energy gamma-ray astronomy with LHAASO-KM2A. In this work, two neural networks (deep neural networks (DNN) and graph neural networks (GNN)) are applied to distinguish proton and gamma in the LHAASOKM2A simulation data. The rece...
Saved in:
Main Author: | Zhang F. |
---|---|
Other Authors: | Mahidol University |
Format: | Conference or Workshop Item |
Published: |
2023
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/86591 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
Observations of the brightest UHE Gamma-Ray Sources With the LHAASO-KM2A
by: Wu S.
Published: (2023) -
Simulation Study on Scaler Mode in LHAASO-KM2A
by: Huang Z.
Published: (2023) -
Measurement of very-high-energy diffuse gamma-ray emission from Galactic plane with LHAASO-KM2A
by: Zhang R.
Published: (2023) -
A 3D Likelihood Analysis Tool for LHAASO-KM2A data
by: Cao Z.
Published: (2023) -
Current Status of Electromagnetic Particle Detectors for LHAASO-KM2A
by: Liu J.
Published: (2023)