[time-nuts] phase/frequency data of real atomic clocks

Magnus Danielson magnus at rubidium.dyndns.org
Thu Mar 2 05:20:52 EST 2017


Yes.

For frequency flicker it should be clear enough. Naturally you have 
frequency error and drift in there, especially on the H-masers. H-masers 
where not used until the ALGOS algorithm got a drift estimator component 
in it.

Cheers,
Magnus

On 03/02/2017 09:50 AM, Azelio Boriani wrote:
> These data fles?
> ftp://ftp2.bipm.org/pub/tai/data/2017/clocks/
> every 5 days...
>
> On Thu, Mar 2, 2017 at 12:18 AM, Magnus Danielson
> <magnus at rubidium.dyndns.org> wrote:
>> Hi,
>>
>> Have you considered the BIPM logs?
>> While not very high sampling rate, it has lots of clocks over long time.
>>
>> Time to set something up again.
>>
>> Cheers,
>> Magnus
>>
>>
>> On 03/01/2017 11:36 PM, Attila Kinali wrote:
>>>
>>> Hi,
>>>
>>> I have been looking into noise and noise processes in the last couple
>>> of months. Unfortunately, my seemingly simple question how to simulate
>>> power law noise (1/f^a noise) properly led me to a wild goose chase
>>> deep into the mathematical lala-land[1].
>>>
>>> In order to verify that I haven't gone completely off the track,
>>> I would like to check some of the assumptions made with real data.
>>> Hence I would like to ask, whether people here have continuous
>>> phase/frequency data of real atomic clocks, and if I could get
>>> a copy of those, together with a description how it was measured.
>>>
>>> I am looking for any kind of atomic clock and any kind of measurement.
>>> The higher the sample rate and the longer the measurement the better,
>>> but I will not be picky.
>>>
>>> If you know someone who has collected such data, any contact
>>> information would also be helpful.
>>>
>>> Computer generated data does not work in this case, as I want to
>>> verify that the assumptions made in the mathematical models
>>> have a foundation in the real physical implementations.
>>>
>>>
>>> Thanks in advance
>>>
>>>                         Attila Kinali
>>>
>>> [1] For those interested: If you think that calculus or stochastic
>>> was difficult, imagine what their offspring "stochastic calculus"
>>> looks like. Now add fractional calculus (half-integrals and
>>> half-differentials, but nothing about fractals per se) to the
>>> whole thing and you get fractals waiting around the corner.
>>>
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