On 22/10/17 17:06, Wes Turner wrote:
> There are current applications with greater-than nanosecond precision:
> 
> - relativity experiments
> - particle experiments
> 
> Must they always use their own implementations of time., datetime.
> __init__, fromordinal, fromtimestamp ?!
> 
> - https://scholar.google.com/scholar?q=femtosecond
> - https://scholar.google.com/scholar?q=attosecond
> - GPS now supports nanosecond resolution
> -

Sure, but in these kinds of experiments you don't have a "timestamp" in
the usual sense.

You'll have some kind of high-precision "clock", but in most cases
there's no way and no reason to synchronise this to wall time. You end
up distinguishing between "macro-time" (wall time) and "micro-time"
(time in the experiment relative to something)

In a particle accelerator, you care about measuring relative times of
almost-simultaneous detection events with extremely high precision.
You'll also presumably have a timestamp for the event, but you won't be
able or willing to measure that with anything like the same accuracy.

While you might be able to say that you detected, say, a muon at
01:23:45.6789 at Δt=543.6ps*, you have femtosecond resolution, you have
a timestamp, but you don't have a femtosecond timestamp.

In ultrafast spectroscopy, we get a time resolution equal to the
duration of your laser pulses (fs-ps), but all the micro-times measured
will be relative to some reference laser pulse, which repeats at >MHz
frequencies. We also integrate over millions of events - wall-time
timestamps don't enter into it.

In summary, yes, when writing software for experiments working with high
time resolution you have to write your own implementations of whatever
data formats best describe time as you're measuring it, which generally
won't line up with time as a PC (or a railway company) looks at it.

Cheers
Thomas


* The example is implausible not least because I understand muon
chambers tend to be a fair bit bigger than 15cm, but you get my point.
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