I measured a Q of about 18,500 in my genuinely-free pendulum (no restoring power input). The pendulum was about 24" in length, had about a 1 lb bob, and it was rocking on knife edges:

Gravity pendulum link

I measured it by counting the number of swings until the amplitude decayed to 1/e (to 36.8%) of its original value. I used a video camera to capture the amplitude of the swings, with an engineer's rule behind the bottom tip of shaft.

In a vacuum, Q will go up dramatically, since air resistance becomes a non-issue and essentially the only remaining loss of energy is in the hinge. The value of achieving high Q has been debated, but I have faith that obtaining high Q promotes high performance.

I would be interested to know at what starting-angle of swing the pendulum is being checked.

It has long been common practice, in accurate clocks, to use very small angles of swing to avoid the effects of circular error … but the practical measurement of the delta reduction must then become increasingly difficult.

Mmm

MichaelG.

They are not magic numbers. They come from a bit of mathematics.

See for example **LINK**

Russell

My experimental pendulum reports 21399

It's calculated using the bandwidth definition because logging a pendulum with a microprocessor produces all the data needed to calculate bandwidth. Much easier that measuring decay and, I think, measuring impulsed Q is more useful than measuring free-swinging Q. Clock pendulums are impulsed, not free.

Bandwidth is calculated from the 29.3, 50,0 and 70.7 percentiles.

Easy in Python because numpy has a percentile function. Where tickArray is a list of periods:

h, l, r = np.percentile(tickArray, [70.7, 29.3, 50] )
b = h – l
q = r / b


Usefulness of Q? The balance wheel in a marine chronometer has Q of about 400, that of an ordinary well-made pendulum is said to be about 10000. Best vacuum enclosed pendula, up to about 100,000.

I see Q as a measure of the purity and stability of an oscillator, where high Q means it produces close to one frequency only. Real oscillators do not produce a single frequency, they wobble around it, and they are likely to drift.

I've noticed good long-term time-keeping can be got from a low Q pendulum – less than 5000. I believe it's because wobble errors tend to average out, and aren't obvious unless the clock has a high resolution display. As most pendulum clocks only display to the nearest second or minute, low Q may not matter because the error is invisible and doesn't accumulate. However, high Q becomes important whenever a clock must be high-precision or high-resolution.

I need a high Q pendulum because I'm chasing milliseconds and below, but what I'm doing is bonkers!

One of the other threads asked if Q varies. Normally Q is measured once by simple methods and assumed to a constant. My pendulum's Q isn't!

The data suggests the Q of my pendulum varies between about 15000 and 31000. The red line shows temperature and I think I see a relationship – after a lag, temperature causes Q to vary. Far from convincing though – I don't know what causes this. Hard to think why Q should repeatedly peak over a 100 hour period. Perhaps the moon did it!

Like as not other pendula do the same, because mechanical or environmental changes are likely to affect the purity of the signal. Anyone happy with their clock is advised not to look too closely! That way lies madness. Nature conspires in many ways to subtly alter the period of a pendulum despite the clockmaker's best efforts.

Dave

Count the swings to 36.8% … and then multiply that by 2*Pi. (Sorry, I left that out somehow.)

The Shortt free pendulum in vacuum IIRC had an estimated Q of ~100,000.

My tungsten bob pendulum has a measured Q around 24,000 or maybe more at lower amplitude. This measured by run-down tests over a period of hours.

Bateman's clock is about 12,000.

Classic paper by Bateman has a graph plotting accuracy against Q for a wide range of clocks from watches to atomic and showing inverse correlation over several orders of magnitude.

But Clock B only in the 4000 – 5000 range for complicated reasons. So Q is not the whole story.

There are many ways to measure and calculate Q but they are all consistent.

Edited By John Haine on 08/08/2023 22:27:39

Ah, no.

• My pendulum is running in air at the moment because I haven't built the vacuum plumbing yet
• I'm not measuring instantaneous Q. I have a dataset of 2,314,308 period records (roughly 600 hours at 0.93s per beat) Q is calculated in 1 hour slices, so each Q comes from nearly 4000 samples. I submit this is substantially better than the counting method.

Is the variation pressure related? I don't think so, here's the graph:

Date-times that match the Hour Numbers above:

clockStart = 2023-07-15 20:30:03 (Hour zero)
ClockEnd = 2023-08-09 20:43:29.861326 (1691610209.0)
ActualEnd = 2023-08-09 20:43:01.319747 (1691610181.0)

ClockRun = 25 days, 0:13:26.861326 (2160806.861326s)
ActualRun = 25 days, 0:12:58.319747 (2160778.319747s) (600.0 hours)

(ClockEnd is finish time as measured by my clock, ActualEnd is the same finish according to Network Time Protocol. On my set-up NTP is no worse than about 100mS different from Atomic Time, and is normally better, roughly 25mS

The Counting and Bandwidth methods produce slightly different results. Doesn't matter, I think, because Q-factor is more indicative than absolute. Q gives a good idea of pendulum quality, but is far from the whole story. Allan Variation is what's needed for that, but despite several attempts I still don't understand it! If anyone can explain the Wikipedia Article to me I shall be eternally grateful.

Dave

SOD, I know you believe you are measuring Q, and you are getting "numbers," but I don't believe you are actually measuring Q. The old "garbage in, garbage out" problem, to my eye. If your data was Gaussian and well behaved, and if the obtained value of Q was stable, maybe, but at this point none of that seems evident.

Also, I am not sure you are using thousands of samples. Sure, you are collecting thousands, but per Q measurement you are throwing nearly all of them out after selecting only a few (I don't know the details, however, so I could be wrong on this point).

In addition, you are subtracting two numbers that are very close together from each other, getting a very small number (i.e., 6 or so orders of magnitude smaller), and then dividing that very small number into a comparatively large one again, tempting the gods of mathematical fate. In this scenario, minute deviations can cause huge impacts on the end result, as it seems you are seeing.

Try using the decay method to check. It can't be that hard, others have done it, and the decay method is much more intuitively related to the loss of energy per swing anyway. And also, the value of Q obtained this way should be quite stable from trial to trial (as I believe one would expect from a macroscopic pendulum of this sort).

Edited By S K on 09/08/2023 23:02:19

Duncan, yes, higher pressure and (probably) humidity should reduce Q.

But if I'm reading the graph right, a 3.5% atmospheric pressure change is plotted against a 100% change in Q.