Abstract

Toward the start of physics run in 2017, the Belle II, the next-generation flavor factory experiment in Japan, is establishing the computing system based on a distributed computing technologies. The system was examined in the periodical simulation mass production campaigns run since the last year and was improved according to constructive feedback. In parallel, the data transfer challenges were performed with the transpacific and transatlantic network which plays an essential role in success of the Belle II experiment in the next decade.

Highlights

  • The results from B-factories in 2000s, Belle[1] and BaBar[2], confirmed the existence of large CP asymmetry in the b-quark system[3,4] as predicted in the Kobayashi-Maskawa theory[5]

  • The matter-antimatter unbalance in the universe we live in cannot be explained by the theory alone. It implies that as-yet undiscovered new physics is there to be found

  • We will reach the world's highest luminosity L=8x1035 cm-2s-1 after roughly five years operation and collect a total of 50ab-1 data by 2023, which corresponds to 50 times more data than the ten-year operation of the Belle experiment

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Summary

Introduction

The results from B-factories in 2000s, Belle[1] and BaBar[2], confirmed the existence of large CP asymmetry in the b-quark system[3,4] as predicted in the Kobayashi-Maskawa theory[5]. We will reach the world's highest luminosity L=8x1035 cm-2s-1 after roughly five years operation and collect a total of 50ab-1 data by 2023, which corresponds to 50 times more data than the ten-year operation of the Belle experiment Thanks to such a huge amount of data, we can explore the new physics possibilities through a large variety of analyses in quark sectors as well as tau physics and deepen understanding of nature. We are still working on the detailed design for this challenging data management, we plan to distribute the raw data to several computing centers in Germany, Italy, Korea, India and Canada as well as USA from the 4th year of the operation

Requirements on the network
Data transfer challenge
Findings
Conclusions
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