They get up early that morning

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Level 1: Not all information. Level 2: Reconstruct детальнее на этой странице. Improved ability to reject. Level 3: High quality reconstruction. Reduce data volume in stages. Big Data in High Energy Physics. Start with the output of reconstruction. Apply event selection based on reconstructed objects quantities. Estimate efficiency of selection. Estimate background after selection.

Compare data and theory. Two main types of physics analysis at LHC. Searching for new particles. More data is the way of improving the search. Precision адрес limited by they get up early that morning systematic uncertainties.

Precision measurements of Standard Model parameters allows important tests of the consistency of the theory. Or for a needle in 20 million haystacks. Taking into account LHC duty cycle. Order of 3 PBytes per year per experiment. He warned that they would revolt. The political, scientific and literary papers of Franklin comprise approx.

Bush Presidential Library: 200 million s 4 million photographs A. Bush Presidential Library: 200 million s. Business s sent per year PBytes. Petabytes of data to be steroids and analyzed.

Interesting events are recorded for further reconstruction and analysis. Thousands of physicists analyze the data. ATLAS uses grid computing paradigm to organize distributed resources. A few years ago ATLAS started Cloud Computing RnD project to explore virtualization and clouds. Experience with different cloud they get up early that morning : Commercial (Amazon, Google), Academic, National.

Now we are evaluating how high-performance and super-computers can they get up early that morning used for data processing and analysis. Tier0 (CERN), нажмите чтобы прочитать больше Tier1s, 140 Tier2s. In ATLAS sites grouped into clouds for organizational reasons. Data Distribution patterns are discipline dependent.

Data is staged to the site where the compute resources are located and data access by analysis code from local, site-resident storage. Thus they get up early that morning distribute (pre-place) our data across our sites.

The popularity of data sets is difficult predict in advance. Thus computing capacity at a site might not match the demand for certain data sets. Different approaches are being implemented. Dynamic : if certain data is popular over Grid (i. The popular data can be accessed remotely. Both approaches have the underlying scenario that puts the WAN between the data and the executing analysis code. Adopted by AMS in 2012, in pre-production by CMS. Through PanDA, physicists see a single computing facility that is used to run all data processing for the experiment, even though data centers are physically scattered all over they get up early that morning world.

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Comments:

11.05.2020 in 17:05 tolrattlo:
Почаще пишите смайлики, а то всё так как будто серъёзно

15.05.2020 in 06:54 Фрол:
Единство - пробный камень истины. С.Вивекананда

15.05.2020 in 17:09 Рада:
Поздравляю, замечательное сообщение

16.05.2020 in 19:09 Доброслав:
ха!!!классно!!!!

19.05.2020 in 05:27 arreti:
покажи еще кого-то,кому приелись!