Heavy Flavor Physics through e-Science

TL;DR

This paper discusses the application of e-Science concepts to heavy flavor physics, enabling remote data analysis and processing for large datasets from experiments like Tevatron, Super Belle, and LHC, to improve measurement accuracy.

Contribution

It introduces a new e-Science framework for heavy flavor physics, facilitating remote analysis of massive datasets from multiple collider experiments.

Findings

Successful application to CDF data at Tevatron

Potential for enhanced measurement accuracy at Super Belle and LHC

Framework supports anytime, anywhere data processing

Abstract

Heavy flavor physics is an important element in understanding the nature of physics. The accurate knowledge of properties of heavy flavor physics plays an essential role for the determination of the Cabibbo-Kobayashi-Maskawa (CKM) matrix. Asymmetric-energy e+e- B factories (BaBar and Belle) run their operation and will upgrade B factories to become super Belle. The size of available B meson samples will be dramatically increased. Also the data size of Tevatron experiments (CDF, D0) are on the order of PetaByte. Therefore we use new concept of e-Science for heavy flavor physics. This concept is about studying heavy flavor physics anytime and anywhere even if we are not on-site of accelerator laboratories and data size is immense. The component of this concept is data production, data processing and data analysis anytime and anywhere. We apply this concept to current CDF experiment at Tevatron. We will expand this concept to Super Belle and LHC (Large Hadron Collider) experiments which will achieve an accuracy of measurements in the next decades.