You are here:  Research > Topics > Research & Development > Panda GRID

News

Friday 25. May 2012 E. Widmann in Ö1 Dimensionen

E. Widmann in Ö1 Dimensionen zum Thema "Im Spiegelbild der Antimaterie"

Thursday 24. May 2012 Österreichische Spitzenforschung durch EU-Gelder fördern – ERC Grants

Die Universität Wien, die Österreichische Akademie der Wissenschaften und das Institute of Science and Technology Austria konnten bisher zahlreiche ERC Grants einwerben. Um weiterhin so erfolgreich zu sein, ist exzellente...

Thursday 24. May 2012 ASACUSA’s antihydrogen research attracts grants

Eberhard Widmann, director of the Stefan Meyer Institute for Subatomic Physics of the Austrian Academy of Sciences, has received a European Research Council Advanced Grant for his research on antihydrogen within the ASACUSA...

Displaying results 1 to 3 out of 33

1

2

3

4

5

6

7

Next >

Panda GRID

In order to fulfill the computing demands of the experiments at PANDA a dedicated computing infrastructure will be required. A conceivable way of acquiring and managing the necessary computing power for simulations and data analysis is the Grid model. As an alternative to a centralized computing centre this model allows to pool independent resources from multiple institutes or organizations.

Although PANDA is not expected to acquire data before the year 2016 the PANDA collaboration is already experimenting with the PANDA Grid. At the end of 2008 the PANDA Grid consisted of 10 sites. The underlying software allows the Grid to be expanded without disturbing its continuous operation. The PANDA analysis software (PandaRoot) is installed on the different sites and so the PANDA Grid is able to perform PANDA related tasks.

SMI is actively taking part in building up, developing, testing, and running the PANDA Grid. In 2008 a new batch farm was installed at SMI and included into the PANDA Grid. In 2008 we also had two data challenges during which large quantities of data were produced via a full chain of simulation, digitization, and reconstruction. This data is analyzed and used to improve the design of the PANDA detector.