Ooops, my apologies Mark I emailed you and not the list. Here it goes.
So I'll take this thread to continue asking about tau. I read the linked page
a few times. And now I have opened the file WPrime.cpp to confirm some of my
confusions.
Firstly, the formula that is indicated in the page as well as in
WPrime.cpp:215-217 is
tau = 316 + e^(...)
which clearly is bigger than 316, yet the default in GC is 300? how can this formula be
empirically tested and the software defaults to an unattainable value for the formula?
In the webpage however it's mentioned that highly trained athletes won't see
any difference with the differential formula which results in tau of 60-100,
this is far from what the formula of adding a positive number to 316 would
predict.
So my question is: am I missing some unit conversion or something or simply the default
value is not compatible with the computed value when there's integral data in the ride?
Second question/comment: after reading a little bit about the implementation
of W' I think I take back my statement (and it seems also Coggan's statement)
that the model is overdetermined. I think one should be able to determine
independently an optimal W' and tau from ride data as follows.
From what I see in the code, having good long enough intervals to exhaustion
and with no points below CP during the whole interval should be good enough to
determine W'. This value thus obtained is completely independent of tau since
there is no point in those intervals where one is recovering. Having at hand a
good determination of W' and of CP one should be able to determine tau easily
by regressing from a Microburst session to exhaustion. Namely, on a good
15"-30" on 15"-30" off for 10'-20' one would typically recover according to
tau on the off intervals, but not enough to recover fully. Having a good
estimate on W' and knowing that this was a session to exhaustion should leave
tau as the only free parameter to adjust such that the final W' of the session
is 0. This shouldn't be hard to implement per ride, and then one can do a
minimal square regression or so on a number of points.
I'm sorry to continue asking about this,don't want to be a pain in the @#$ but
I find the concept of W' a very interesting concept just that clearly in my
setup (the default from GC, tau at 300 and W' computed from the model) either
W' is overestimated or tau is below what it being computed wrongly cause I
experience Microburst intervals that I crawl back home with my thrashed legs
just to find out that the model predicted that I still had over 6KJ of W' to
expend.
Best,
P.
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