\caption{Overview of the XENON1T Job and Data Management Scheme.}
\label{fig:xenonCM}
\end{figure}
The resources at CNAF (CPU and Disk) are used so far mainly for the Monte Carlo simulation of the
detector (GEANT4 model of the detector and waveform generator), and for the €œreal-data€ storage and processing. Currently we used about 12 TB of the 200 TB available for 2018.
detector (GEANT4 model of the detector and waveform generator), and for the €œreal-data€ storage and processing. %Currently we used about XX TB of the XX TB available for 2018. %Help
%For this purpose,
There were some improvements performed recently by the Computing Working group of the experiment. The CNAF Disk at the beginning was not integrated into the Rucio framework because it was not large enough to justify the amount of work needed for the integration (it was 60 TB up to 2016). For this reason we required for 2018 an additional amount of 90 TB, to reach a total 200 TB which is considered significant by the collaboration to consider a full integration of the Disk space.\\
The second improvement has been to perform the data processing on both the US and EU GRID (previously it was done in the US only). Some software tools have been successfully developed and tested during 2017, and they are used for a fully distributed massive data processing. To fulfil this goal, we required 300 HS06 additional CPUs, for a total of 1000 HS06, equivalent to the resources available on the US OSG.\\
The request of Tapes (1000 TB) in 2018 was done to fulfil the requirement by INFN to have a copy of all the XENON1T data in Italy, as discussed inside the INFN Astroparticle Committee. A dedicate automatic data transfer to tapes has been developed by CNAF.
The computing model described in this report allowed for a fast and effective analysis of the first XENON1T data in 2017, and the final ones in 2018, which lead to the best limit in the search of WIMPs so far \cite{sr0, sr1}.
The computing model described in this report allowed for a fast and effective processing and analysis of the first XENON1T data in 2017, and of the final ones in 2018, which led to the best limit in the search of WIMPs so far \cite{sr0, sr1}.
\section{XENONnT}
The planning and initial implementation of the data and job management
...
...
@@ -146,19 +143,19 @@ volume of XENON1T.
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