Research for upgrading KamLAND DAQ for nearby supernovae

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K17635
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Particle/Nuclear/Cosmic ray/Astro physics
• Research Institution: Osaka University (2016); The University of Tokyo (2015)
• Principal Investigator: Takemoto Yasuhiro 大阪大学, 核物理研究センター, 特任助教(常勤) (40732186)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: DAQ / 超新星 / ニュートリノ

Outline of Final Research Achievements

I researched the improvement on the data acquisition (DAQ) efficiency of the KamLAND experiment for enormous number of neutrinos emitted from nearby supernovae. When a nearby supernova explodes, it is predicted that more than a million events will occur in about 10 seconds in the KamLAND detector, but since the current DAQ cannot process the whole events, an effective pre-selection is necessary. Since there is relation between event position and time distribution of observed photons, I investigated spatial event selection utilizing the temporal variance of events using real data and simulation. I discovered that it is not expected to improve selection efficiency in the current DAQ, while it was clarified that ideal selection efficiency can be obtained by developing the same DAQ using faster clock, thus I started to develop a new electronics with high speed clock actually.

Free Research Field

素粒子実験