KamLAND-Zen 800 Status and Prospect with the Artificial Intelligence Powered Analysis

The discovery of neutrinoless double beta decay (0υββ) would shed light on the persistent puzzle surrounding the origin of neutrino mass and help explain the matter-dominated universe. KamLAND-Zen is one of the leading experiments searching for 0υββ. The first phase of the experiment, called KamLAND-Zen 400, set a world-leading limit on 0υββ lifetime. After the conclusion of KamLAND-Zen 400, a brand new mini-balloon with a larger volume and cleaner surface were instrumented to contain 745 kg of 136Xe. Since Jan. 2019, KamLAND-Zen 800 has started data-taking and aims to improve on the previous 0υββ result. A detailed study of the backgrounds in this new data will be presented along with a state-of-the-art approach for classifying backgrounds using a new algorithm called KamNet. The rejection power of KamNet does not rely on coincidence tagging and scales with hardware updates. With the help of KamNet, the 0υββ sensitivity of KamLAND-Zen 800 is significantly enhanced to a new summit.

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Publication Details

Journal
UNC Libraries
Published
2025-06-07
DOI
https://doi.org/10.17615/7n47-y232
Primary Topic
Neutrino Physics Research
Type
article
Field-Weighted Citation Impact
0.00
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article

KamLAND-Zen 800 Status and Prospect with the Artificial Intelligence Powered Analysis

Aobo Li
UNC Libraries
Neutrino Physics Research
article

KamLAND-Zen 800 Status and Prospect with the Artificial Intelligence Powered Analysis

Aobo Li
article en

Abstract

The discovery of neutrinoless double beta decay (0υββ) would shed light on the persistent puzzle surrounding the origin of neutrino mass and help explain the matter-dominated universe. KamLAND-Zen is one of the leading experiments searching for 0υββ. The first phase of the experiment, called KamLAND-Zen 400, set a world-leading limit on 0υββ lifetime. After the conclusion of KamLAND-Zen 400, a brand new mini-balloon with a larger volume and cleaner surface were instrumented to contain 745 kg of 136Xe. Since Jan. 2019, KamLAND-Zen 800 has started data-taking and aims to improve on the previous 0υββ result. A detailed study of the backgrounds in this new data will be presented along with a state-of-the-art approach for classifying backgrounds using a new algorithm called KamNet. The rejection power of KamNet does not rely on coincidence tagging and scales with hardware updates. With the help of KamNet, the 0υββ sensitivity of KamLAND-Zen 800 is significantly enhanced to a new summit.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 85%
Neutrino Physics Research
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