NTPsec

NTP3: CM5, TimeHat LEA-M8T, NTPSec
Three Day - September 14, 2026 04:00 UTC

Report generated: Mon Sep 14 04:07:09 2026 UTC
Start Time: Fri Sep 11 04:07:07 2026 UTC
End Time: Mon Sep 14 04:07:07 2026 UTC
Report Period: 3.0 days

Return to It's About Time

Section Time Frame NTP Server
Local Clock Time/Frequency Offsets One Hour NTP0: x86 SBC, NTPSec, NTP-disciplined (stratum 2)
Local RMS Time Jitter Three Hour NTP1: RPi4B, Uputronics M8, NTPSec
Local RMS Frequency Jitter Six Hour NTP2: CM4, Bollar ZED-F9T, NTPSec
Local Clock Time Offset Histogram Twelve Hour NTP3: CM5, TimeHat LEA-M8T, NTPSec
Local Temperatures One Day NTP4: SecureSync, Rubidium, NTP (Classic)
Local Frequency/Temp Two Day NTP5: RPi3B+, Uputronics MAX-M8Q, NTPSec
Local GPS Three Day NTP6: CM4, TimeBeat OTC Mini, PTP
Server Offsets Seven Day NTP7: LeoNTP, Standalone GNSS, Firmware
Server Jitters Fourteen Day (Updated Daily)
Summary One Month (Updated Daily)
NTPQ Stats
GNSS Performance

NTP3 runs on an RPi Compute Module 5 using a TimeHat prototype with a u-blox LEA-M8T timing receiver. It is used for experimental testing of new GNSS timing configurations.

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Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -31.402 -4.328 -1.626 0.002 1.623 2.587 30.001 3.249 6.915 1.169 0.001 µs -2.964 59.79
Local Clock Frequency Offset -3.050 -2.191 -2.145 -2.057 -1.064 -0.877 -0.793 1.080 1.314 0.281 -1.978 ppm 2.966 10.86

The time and frequency offsets between the ntpd calculated time and the local system clock. Showing frequency offset (red, in parts per million, scale on right) and the time offset (blue, in μs, scale on left). Quick changes in time offset will lead to larger frequency offsets.

These are fields 3 (time) and 4 (frequency) from the loopstats log file.



Local RMS Time Jitter

local jitter plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Time Jitter 0.001 0.312 0.380 0.857 2.333 4.377 18.862 1.953 4.065 0.822 1.062 µs 4.473 42.36

The RMS Jitter of the local clock offset. In other words, how fast the local clock offset is changing.

Lower is better. An ideal system would be a horizontal line at 0μs.

RMS jitter is field 5 in the loopstats log file.



Local RMS Frequency Jitter

local stability plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Frequency Jitter 0.000 2.274 2.826 6.434 15.301 27.664 368.373 12.475 25.390 7.582 7.727 ppb 18.4 593.5

The RMS Frequency Jitter (aka wander) of the local clock's frequency. In other words, how fast the local clock changes frequency.

Lower is better. An ideal clock would be a horizontal line at 0ppm.

RMS Frequency Jitter is field 6 in the loopstats log file.



Local Clock Time Offset Histogram

local offset histogram plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Offset -31.402 -4.328 -1.626 0.002 1.623 2.587 30.001 3.249 6.915 1.169 0.001 µs -2.964 59.79

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -3.050 -2.191 -2.145 -2.057 -1.064 -0.877 -0.793 1.080 1.314 0.281 -1.978 ppm 2.966 10.86
Temp CPU 82.000 83.200 83.700 85.300 85.900 86.500 87.000 2.200 3.300 0.709 85.050 °C

The frequency offsets and temperatures. Showing frequency offset (red, in parts per million, scale on right) and the temperatures.

These are field 4 (frequency) from the loopstats log file, and field 3 from the tempstats log file.



Local GPS

local gps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
nSats 7.000 26.000 27.000 29.000 31.000 31.000 32.000 4.000 5.000 1.457 28.930 nSat -2.368 28.96
TDOP 0.390 0.430 0.450 0.520 0.640 0.720 1.940 0.190 0.290 0.064 0.534 3.93 70.15

Local GPS. The Time Dilution of Precision (TDOP) is plotted in blue. The number of visible satellites (nSat) is plotted in red.

TDOP is field 3, and nSats is field 4, from the gpsd log file. The gpsd log file is created by the ntploggps program.

TDOP is a dimensionless error factor. Smaller numbers are better. TDOP ranges from 1 (ideal), 2 to 5 (good), to greater than 20 (poor). Some GNSS receivers report TDOP less than one which is theoretically impossible.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 10.0.50.10

peer offset 10.0.50.10 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.10 -55.376 -48.750 -45.654 -34.335 -5.783 0.992 64.335 39.871 49.742 12.808 -29.245 µs 0.6542 2.467

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 10.0.50.100

peer offset 10.0.50.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.100 -23.347 -17.323 -15.643 -14.653 -12.673 -11.519 15.385 2.970 5.804 1.092 -14.549 µs 5.806 126.4

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 10.0.50.20

peer offset 10.0.50.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.20 -51.479 -44.566 -41.533 -20.573 -2.765 0.217 25.934 38.768 44.783 13.791 -22.552 µs -0.001243 1.496

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 10.0.50.200

peer offset 10.0.50.200 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.200 -153.927 -92.963 -62.843 -4.239 23.303 32.252 55.080 86.146 125.215 26.999 -9.880 µs -1.045 4.162

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 10.0.50.40

peer offset 10.0.50.40 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.40 -33.107 -13.292 -10.240 -2.463 2.363 4.409 41.762 12.603 17.701 3.992 -3.010 µs -0.4754 5.478

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 10.0.50.50

peer offset 10.0.50.50 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.50 -43.973 20.546 27.543 48.752 62.973 68.676 90.132 35.430 48.130 10.957 47.237 µs -0.521 3.559

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au)

peer offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) -56.422 -47.640 -41.225 -18.939 -2.962 2.425 24.116 38.263 50.065 14.118 -21.911 µs -0.06381 1.571

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com)

peer offset 2404:e80:8cd6:0:a239:75ff:fe00:17 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) -18.460 -16.434 -13.640 -10.056 -8.013 14.153 91.253 5.627 30.587 6.950 -9.663 µs 12.11 171.8

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(0)

peer offset SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(0) -681.509 -296.246 -288.325 -272.637 -256.158 -249.026 835.742 32.168 47.220 22.012 -272.140 ms 37.04 1798

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(1)

peer offset SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(1) -0.000 -0.000 -0.000 0.000 0.000 0.000 11,970,233.482 0.000 0.000 33,294.350 92.607 s 359.5 1.293e+05

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Jitters

peer jitters plot

The RMS Jitter of all refclocks and servers. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 10.0.50.10

peer jitter 10.0.50.10 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.10 0.000 1.129 1.694 9.048 34.601 40.201 365.197 32.907 39.072 13.673 13.039 µs 7.398 147.2

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 10.0.50.100

peer jitter 10.0.50.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.100 0.000 0.224 0.334 1.522 3.328 6.052 29.415 2.994 5.828 1.158 1.637 µs 3.71 44.8

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 10.0.50.20

peer jitter 10.0.50.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.20 0.000 2.023 2.951 16.113 32.889 36.652 98.196 29.938 34.629 10.934 16.324 µs 0.2244 1.727

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 10.0.50.200

peer jitter 10.0.50.200 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.200 0.000 0.006 0.010 0.022 0.054 0.073 159.537 0.044 0.067 1.743 0.056 ms 66.85 4872

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 10.0.50.40

peer jitter 10.0.50.40 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.40 0.000 1.492 2.376 10.623 23.970 27.913 37.539 21.594 26.421 6.870 11.502 µs 0.5088 2.385

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 10.0.50.50

peer jitter 10.0.50.50 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.50 0.000 0.006 0.009 0.018 0.030 0.036 79.705 0.021 0.030 0.759 0.031 ms 74.29 6207

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au)

peer jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) 0.000 1.531 2.194 16.472 32.631 39.506 108.464 30.437 37.975 10.798 16.060 µs 0.4142 3.199

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com)

peer jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) 0.000 24.465 25.653 38.375 50.648 57.217 75.460 24.995 32.752 8.474 37.983 µs -0.0119 4.851

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(0)

peer jitter SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(0) 0.000 2.551 3.466 6.793 13.451 18.226 1,098.789 9.986 15.675 11.945 7.606 ms 59.14 4038

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(1)

peer jitter SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(1) 0.000 0.000 0.000 0.000 0.000 0.000 11,970,233.482 0.000 0.000 53,610.648 372.082 s 162.1 2.907e+04

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -3.050 -2.191 -2.145 -2.057 -1.064 -0.877 -0.793 1.080 1.314 0.281 -1.978 ppm 2.966 10.86
Local Clock Time Offset -31.402 -4.328 -1.626 0.002 1.623 2.587 30.001 3.249 6.915 1.169 0.001 µs -2.964 59.79
Local RMS Frequency Jitter 0.000 2.274 2.826 6.434 15.301 27.664 368.373 12.475 25.390 7.582 7.727 ppb 18.4 593.5
Local RMS Time Jitter 0.001 0.312 0.380 0.857 2.333 4.377 18.862 1.953 4.065 0.822 1.062 µs 4.473 42.36
Server Jitter 10.0.50.10 0.000 1.129 1.694 9.048 34.601 40.201 365.197 32.907 39.072 13.673 13.039 µs 7.398 147.2
Server Jitter 10.0.50.100 0.000 0.224 0.334 1.522 3.328 6.052 29.415 2.994 5.828 1.158 1.637 µs 3.71 44.8
Server Jitter 10.0.50.20 0.000 2.023 2.951 16.113 32.889 36.652 98.196 29.938 34.629 10.934 16.324 µs 0.2244 1.727
Server Jitter 10.0.50.200 0.000 0.006 0.010 0.022 0.054 0.073 159.537 0.044 0.067 1.743 0.056 ms 66.85 4872
Server Jitter 10.0.50.40 0.000 1.492 2.376 10.623 23.970 27.913 37.539 21.594 26.421 6.870 11.502 µs 0.5088 2.385
Server Jitter 10.0.50.50 0.000 0.006 0.009 0.018 0.030 0.036 79.705 0.021 0.030 0.759 0.031 ms 74.29 6207
Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) 0.000 1.531 2.194 16.472 32.631 39.506 108.464 30.437 37.975 10.798 16.060 µs 0.4142 3.199
Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) 0.000 24.465 25.653 38.375 50.648 57.217 75.460 24.995 32.752 8.474 37.983 µs -0.0119 4.851
Server Jitter SHM(0) 0.000 2.551 3.466 6.793 13.451 18.226 1,098.789 9.986 15.675 11.945 7.606 ms 59.14 4038
Server Jitter SHM(1) 0.000 0.000 0.000 0.000 0.000 0.000 11,970,233.482 0.000 0.000 53,610.648 372.082 s 162.1 2.907e+04
Server Offset 10.0.50.10 -55.376 -48.750 -45.654 -34.335 -5.783 0.992 64.335 39.871 49.742 12.808 -29.245 µs 0.6542 2.467
Server Offset 10.0.50.100 -23.347 -17.323 -15.643 -14.653 -12.673 -11.519 15.385 2.970 5.804 1.092 -14.549 µs 5.806 126.4
Server Offset 10.0.50.20 -51.479 -44.566 -41.533 -20.573 -2.765 0.217 25.934 38.768 44.783 13.791 -22.552 µs -0.001243 1.496
Server Offset 10.0.50.200 -153.927 -92.963 -62.843 -4.239 23.303 32.252 55.080 86.146 125.215 26.999 -9.880 µs -1.045 4.162
Server Offset 10.0.50.40 -33.107 -13.292 -10.240 -2.463 2.363 4.409 41.762 12.603 17.701 3.992 -3.010 µs -0.4754 5.478
Server Offset 10.0.50.50 -43.973 20.546 27.543 48.752 62.973 68.676 90.132 35.430 48.130 10.957 47.237 µs -0.521 3.559
Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) -56.422 -47.640 -41.225 -18.939 -2.962 2.425 24.116 38.263 50.065 14.118 -21.911 µs -0.06381 1.571
Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) -18.460 -16.434 -13.640 -10.056 -8.013 14.153 91.253 5.627 30.587 6.950 -9.663 µs 12.11 171.8
Server Offset SHM(0) -681.509 -296.246 -288.325 -272.637 -256.158 -249.026 835.742 32.168 47.220 22.012 -272.140 ms 37.04 1798
Server Offset SHM(1) -0.000 -0.000 -0.000 0.000 0.000 0.000 11,970,233.482 0.000 0.000 33,294.350 92.607 s 359.5 1.293e+05
TDOP 0.390 0.430 0.450 0.520 0.640 0.720 1.940 0.190 0.290 0.064 0.534 3.93 70.15
Temp CPU 82.000 83.200 83.700 85.300 85.900 86.500 87.000 2.200 3.300 0.709 85.050 °C
nSats 7.000 26.000 27.000 29.000 31.000 31.000 32.000 4.000 5.000 1.457 28.930 nSat -2.368 28.96
Summary as CSV file

Our production NTP servers share the same mast-mounted Tallysman Accutenna® TW3972 Triple Band GNSS Antenna + L-band Correction Services antenna using a Tallysman TW164 1-to-4 Port Smart Power GNSS Signal Splitter. No external NTP servers are contacted and all servers, with the exception of NTP6, the LeoNTP 1200, poll each other. Internal NTP clients poll NTP4 or NTP6.

The LeoNTP 1200 is a black-box appliance that doesn't support timing reporting. Its status can be checked by viwing the Server Jitter & Offset from any of the other servers. It can be found at NTP7 or leontp.bollar.com (10.0.50.100). The LeoNTP link above will take you to the Server Jitter between the LeoNTP and the currently selected server.

NTPQ Stats

NTPQ Statistics are not not available for this NTP server.'

GNSS Performance

This server has a u-blox LEA-M8T Timing GNSS Receiver that is configured in Time Mode, using a fixed location, it rejects all fixes calculated to be more than one meter off.

GNSS Performance is not available for this NTP server.'

Glossary:

frequency offset:
The difference between the ntpd calculated frequency and the local system clock frequency (usually in parts per million, ppm)
jitter, dispersion:
The short term change in a value. NTP measures Local Time Jitter, Refclock Jitter, and Server Jitter in seconds. Local Frequency Jitter is in ppm or ppb.
ms, millisecond:
One thousandth of a second = 0.001 seconds, 1e-3 seconds
mu, mean:
The arithmetic mean: the sum of all the values divided by the number of values. The formula for mu is: "mu = (∑xi) / N". Where xi denotes the data points and N is the number of data points.
ns, nanosecond:
One billionth of a second, also one thousandth of a microsecond, 0.000000001 seconds and 1e-9 seconds.
percentile:
The value below which a given percentage of values fall.
ppb, parts per billion:
Ratio between two values. These following are all the same: 1 ppb, one in one billion, 1/1,000,000,000, 0.000,000,001, 1e-9 and 0.000,000,1%
ppm, parts per million:
Ratio between two values. These following are all the same: 1 ppm, one in one million, 1/1,000,000, 0.000,001, and 0.000,1%
‰, parts per thousand:
Ratio between two values. These following are all the same: 1 ‰. one in one thousand, 1/1,000, 0.001, and 0.1%
refclock:
Reference clock, a local GPS module or other local source of time.
remote clock:
Any clock reached over the network, LAN or WAN. Also called a peer or server.
time offset:
The difference between the ntpd calculated time and the local system clock's time. Also called phase offset.
σ, sigma:
Sigma denotes the standard deviation (SD) and is centered on the arithmetic mean of the data set. The SD is simply the square root of the variance of the data set. Two sigma is simply twice the standard deviation. Three sigma is three times sigma. Smaller is better.
The formula for sigma is: "σ = √[ ∑(xi-mu)^2 / N ]". Where xi denotes the data points and N is the number of data points.
Skewness, Skew:
The skewness of a random variable X is the third standardized moment and is a dimension-less ratio. ntpviz uses the FIsher-Pearson moment of skewness. There are other different ways to calculate Skewness Wikipedia describes Skewness best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
Kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses standard Kurtosis. There are other different ways to calculate Kurtosis.
A normal distribution has a Kurtosis of three. NIST describes a kurtosis over three as "heavy tailed" and one under three as "light tailed".
upstream clock:
Any server or reference clock used as a source of time.
µs, us, microsecond:
One millionth of a second, also one thousandth of a millisecond, 0.000,001 seconds, and 1e-6 seconds.



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