Given a machine with stable running at L=LPeak loses the ability to continue trickle injection. Luminosity decays at some rate corresponding to some luminosity lifetime. If decay happens for only a very short time, trickle recovery would be appropriate. If the decay happens for a very long time, filling at high rate (under filling rather than trickle conditions) without data logging would be appropriate (at least initially...see question #4 below).
Consider the picture to the right:
The specific conditions shown in the picture would indicate that less integrated luminosity is lost by choosing the trickle (green) course. |
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One way to approach this problem is to write down an expression for the luminosity lost during each of these two courses. Finding the value for Lmin for which the two courses have equal luminosity loss solves the problem.
The algebra is messy, but I'll get you started:
The Luminosity lost in the period between t=0 and t=1 is the same in both courses, so we don't need to include a term for that interval. This means the luminosity lifetime is not a (direct) factor.
Luminosity Lost (green course) | = | Luminosity Lost (yellow course) |
Lpeak(t3-t1) -½(Lmin+Lpeak)(t3-t1) | = | Lpeak(t2-t1) |
Lpeak(Lpeak-Lmin)/Rtrickle -½(Lmin+Lpeak)(Lpeak-Lmin) /Rtrickle | = | Lpeak(Lpeak-Lmin)/Rfill |
Recognize that for the last step I substituted for the (t3-t1) and (t2-t1) terms expressions for the luminosity increase rates as in the example earlier on this page.
Task is to solve this equation for Lmin.
This equation is quadratic in Lmin. Quadratic equations have two solutions (roots). For this problem the non-extraneous root is:
Lmin=Lpeak(1-2Rtrickle/Rfill)
The savvy reader will recognize immediately from this what the extraneous root is. (The less-than-savvy of us see the extraneous root as confirmation that we've done the algebra right.)