<p>General DATA/MC strategy to set the DQ parameters thresholds:</p>

<p>* start with "bad runs" and perform data/MC as a function of each DQ parameter to check the threshold for it.&nbsp;</p>

<p>* Vasilis has presented a preliminary investigation with ARCA6 and OOS parameter -&gt; to be updated with ARCA8.</p>

<p>* Valentin has shown a preliminary investigation for ORCA6 and HRV.</p>

<p>&nbsp;</p>

<p>Use of a general tool to have DATA/MC, MC/MC and DATA/DATA comparison that can be included into the DP chain:</p>

<p>* Valentin presented a tool written in pyroot and tested on ORCA. The tool creates a list of histos with a set of parameters to check the run-by-run data/MC comparison and creates correlation matrix of parameters.</p>

<p>Proposals:</p>

<p>- adapt the tool to use JMRA histograms</p>

<p>- add the tool in the data_processing</p>

<p>- use the tool to set the DQ parameters thresholds</p>

<p>- add OOS parameter in the tool</p>

<p>- extend the using of the tool to ARCA</p>

<p>&nbsp;</p>

<p>It as been suggested to add DATA/DATA and MC/MC comparisons to better understand the impacts of OOSs in the data.</p>

<p>&nbsp;</p>