The Imaging Atmospheric Cherenkov Technique and the IACTs MAGIC and CTA

Coto, Rubén López

doi:10.1007/978-3-319-44751-3_2

Cited by 1 publication

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References 28 publications

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“…Very High Energy (VHE; E ≥ 30 GeV) gamma rays are a signature of extreme physical phenomena in the universe, commonly observed in processes such as galactic nuclei (AGN [1]), gamma-ray bursts (GRB [2]) and so on. Thanks to the advancements of broad imaging atmospheric Cherenkov telescope technology (IACT [3]), researchers are able to study the physical processes of AGN or the morphology and spectra of GRBs by observing Cherenkov light generated from the interaction between cosmic rays and Earth's atmosphere. This provides an effective means for exploring the nature and origin of these extraordinary physical phenomena.…”

Section: Introductionmentioning

confidence: 99%

Research on the Gamma/Proton Identification Effect of HADAR Based on Multi-Layer Sensor

2024

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This study aims to optimize the discrimination performance of gamma/proton in high altitude detection of astrological radiation (HADAR) experiments by employing the multilayer perceptron (MLP) algorithm. The HADAR experiment is used to observe the Cherenkov light produced by cosmic rays and gamma rays in the atmosphere via a composite array composed of four water lenses and surrounding scintillation detectors. And it is highly competitive in detecting the transient sources and the prompt emission of gamma-ray bursts due to its advantages such as low threshold energy (~30GeV) and wide field of view (~30°). However, the image discrimination between background noise and signal become weak when the detected energy of HADAR is less than 100 GeV, leading to unsatisfactory gamma/proton discrimination performance of traditional Hillas parameter methods. In this study, we employ MLP as a discriminator to conduct training and classification based on input characteristic parameters (such as Hillas parameters and core information). The results of Monte Carlo simulation demonstrate that the MLP method exhibits excellent performance and accuracy gamma/proton identification. Specifically, the discrimination between signal and background noise is enhanced at detection energies between 30-100 GeV, and the highest achieved Q-factor is 2.17 (proton exclusion rate ~97.80%, gamma retention rate ~32.20%). This study provides valuable references and a solid foundation for enhancing the gamma/proton discrimination performance of HADAR.

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Section: Introductionmentioning

confidence: 99%

Research on the Gamma/Proton Identification Effect of HADAR Based on Multi-Layer Sensor

2024

mpcr

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The Imaging Atmospheric Cherenkov Technique and the IACTs MAGIC and CTA

Cited by 1 publication

References 28 publications

Research on the Gamma/Proton Identification Effect of HADAR Based on Multi-Layer Sensor

Research on the Gamma/Proton Identification Effect of HADAR Based on Multi-Layer Sensor

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