The Data Processing of e-Science for High-Energy Physics

The Data Processing of e-Science for High-Energy Physics

The goal of high-energy physics is to understand the basic properties of elementary particles and their interactions. High-energy physics is usually conducted at major accelerator sites, in which detector design, construction, signal processing, data acquisition, and data analysis are performed on a large scale. However, in order to study high-energy physics anytime and anywhere even if we are not on-site at accelerator laboratories, we have created a new research paradigm, e-Science. The e-Science for high-energy physics has three components: data production, data processing, and data analysis. In this paper, we focus on the data processing of e-Science for high-energy physics. We show current implementations and experiments of data processing for the ALICE (A Large Ion Collider Experiment) Tier 2 center and for CDF (Collider Detector at Fermilab) grid farms.

The goal of high-energy physics is to understand the basic properties of elementary particles and their interactions. High-energy physics is usually conducted at major accelerator sites, in which detector design, construction, signal processing, data acquisition, and data analysis are performed on a large scale. However, in order to study high-energy physics anytime and anywhere even if we are not on-site at accelerator laboratories, we have created a new research paradigm, e-Science. The e-Science for high-energy physics has three components: data production, data processing, and data analysis. In this paper, we focus on the data processing of e-Science for high-energy physics. We show current implementations and experiments of data processing for the ALICE (A Large Ion Collider Experiment) Tier 2 center and for CDF (Collider Detector at Fermilab) grid farms.