Difference between revisions of "GoodRunsList in AMA"
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== Introduction == | == Introduction == | ||
| − | This page explains how to use the GoodRunsLists within AMAAthena. GoodRunsLists make it possible to select specific datasets AND lumiblocks satisfying detector and data quality constraints. A more general Atlas tutorial can be found here: [https://twiki.cern.ch/twiki/bin/viewauth/Atlas/GoodRunsListsTutorial GRL Tutorial]. | + | This page explains how to use the GoodRunsLists within AMAAthena. GoodRunsLists make it possible to select specific datasets AND lumiblocks satisfying detector and data quality constraints. A more general Atlas tutorial can be found here: [https://twiki.cern.ch/twiki/bin/viewauth/Atlas/GoodRunsListsTutorial GRL Tutorial]. |
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== Headline text == | == Headline text == | ||
| + | There are a few steps to make, in order to get it all working. | ||
| − | + | 1. First of all, you need an XML file with the datasets and lumiblocks you want to run over. To make one yourself, go to [http://atlas-runquery.cern.ch/ Atlas Run Query] and enter a query containing all DQ flags you need/like. This page has lots of examples and help to assist in forming a query. It is also possible to take one supplied by your group, Atlas or anyone else you assume knows it all. | |
| − | 1. | ||
2. | 2. | ||
Revision as of 21:18, 18 February 2010
Introduction
This page explains how to use the GoodRunsLists within AMAAthena. GoodRunsLists make it possible to select specific datasets AND lumiblocks satisfying detector and data quality constraints. A more general Atlas tutorial can be found here: GRL Tutorial.
Headline text
There are a few steps to make, in order to get it all working.
1. First of all, you need an XML file with the datasets and lumiblocks you want to run over. To make one yourself, go to Atlas Run Query and enter a query containing all DQ flags you need/like. This page has lots of examples and help to assist in forming a query. It is also possible to take one supplied by your group, Atlas or anyone else you assume knows it all.
2.