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Hi All, </div>
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I was scaling my table <a class="OWAAutoLink" id="OWA97dc5ace-d5e2-7083-2b41-3719e4f222b1" href="https://docs.google.com/spreadsheets/d/1R3pbuDNsrS3M-SAq8H1cNxVUEVzxr4vKOxGhfE1ATqA/edit?usp=sharing">
https://docs.google.com/spreadsheets/d/1R3pbuDNsrS3M-SAq8H1cNxVUEVzxr4vKOxGhfE1ATqA/edit?usp=sharing</a> very rough, to the new Q2 points. I saw in the run plan, that was already updated, and I would guess, more accurate than just linear interpolation, when
the dependence is not linear (I just plotted them to observe the shape). </div>
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I also updated the kinematic table in the run plan, and comparing with Sebouh's, both scripts behave similar, except for 8.5 which it differs, unless, t=-0.48 (in my case). It is just an anecdote, I trust in Sebouh's script better than mine. </div>
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The only question I have about the new table is if the uncertainty is based in the new run times, original or with the extras. When I was calculating the numbers, in order to achieve the uncertainty in the proposal, should be considered only the original time,
and not the extras (like 2 and not 2x3 for 1H or 2.5 and not 2.5+6 for 12C). </div>
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Then is the 20% extra suggested by Dipangkar... I forgot, but that 20% is extra data taking to compensate multi-pions isn't it? How affects the total run numbers? (time, events)</div>
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Cheers</div>
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-Carlos</div>
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<b>Last name: </b>Ayerbe <i>OR </i>Ayerbe Gayoso</div>
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If you receive this e-mail after hours, during a weekend, or on a holiday,</div>
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please enjoy your time off and respond during your working hours.</div>
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