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Dear Chris,</div>
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We use the myStats tool to create the databases (NTUPLEs) of time averages for the sets of channels of interest. For example, the set of hourly (or other time interval) average dose rates from the Radiation Boundary Monitors together with the average beam currents
in the same time interval, beam energies, target status, beam duty factors, etc. Also may include outside temperature, atmospheric pressure, rainfall from the Weather Station. The NTUPLEs are analyzed using PAW/HBOOK, but can be read also by the Root statistical
analysis package, or made in the form of tables. By selecting hours when the beam is delivered and comparing with the no-beam conditions we evaluate and subtract the detector backgrounds. The correlation analysis can be done in PAW or Root. For example, characterization
of the dose rate dependence on beam currents, type of the target, etc.<br>
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The system ("RadMon") was created long time ago, works reliably, but it is rather inefficient and cumbersome. Would be nice if it could be updated or re-created professionally. No problem with sharing, but using the outdated PAW data analysis tool makes it
difficult. The update should include the Root interface. <br>
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Other multi-variate analyses are possible, such as collections of field emission radiation measurements around the cryomodules, correlated with the critical operational parameters. Or correlated analysis of the beam loss monitor data.<br>
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My suggestion would be to think about a new universal tool capable of creating such databases, as a first stage. The data analysis can be done in Root, with some simple cases implemented (such as showing the time histories of averages for a given variable,
or showing the correlation plots for the averages). And the users would be able to extract the NTUPLEs and apply all the power of Root or another statistical analysis package to extract the elaborate correlations in their data sets.</div>
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Best regards,</div>
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Pavel<br>
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<div id="divRplyFwdMsg" dir="ltr"><font style="font-size:11pt" face="Calibri, sans-serif" color="#000000"><b>From:</b> Mya-users <mya-users-bounces@jlab.org> on behalf of Chris Slominski <cjs@jlab.org><br>
<b>Sent:</b> Monday, July 6, 2020 12:59 PM<br>
<b>To:</b> mya-users@jlab.org <mya-users@jlab.org><br>
<b>Subject:</b> [Mya-users] channel history correlations</font>
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<p>I am writing about the topic of performing channel history correlation analysis. Currently, users may use the Mya data extraction tools myaPlot, mySampler, and myHistory to provide input into their favorite correlation analysis tools; with myaPlot allowing
users to export directly to gnuplot. The following questions arise.</p>
<ul>
<li>Who is successfully doing this?</li><ul>
<li>Is your technique sufficient for you?<br>
</li><li>Would you like to share your technique with others?</li></ul>
<li>Do you have an unsatisfied need for correlation analysis?</li><ul>
<li>Are you looking for correlation, cross-correlation, and/or auto correlation?</li><li>What is your foreseeable use pattern.</li><ul>
<li>Long batch jobs performing analysis on a large number of channels?</li><li>Interactive graphical tools?</li><li>... ?<br>
</li></ul>
</ul>
<li>If an in-house tool needs to be developed ...</li><ul>
<li>Is there a preference between web based versus linux-app?</li><li>Are you willing to contribute toward the requirements?<br>
</li></ul>
</ul>
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