NTPsec

NTP2: CM4, Bollar ZED-F9T, NTPSec
Two Day - September 14, 2026 06:00 UTC

Report generated: Mon Sep 14 06:04:12 2026 UTC
Start Time: Sat Sep 12 06:04:11 2026 UTC
End Time: Mon Sep 14 06:04:11 2026 UTC
Report Period: 2.0 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

NTP2 runs on an RPi Compute Module 4 with a custom HAT running a u-blox ZED-F9T multi-frequency module. It tracks all constellations and its position is surveyed.

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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 -23.805 -2.965 -2.003 0.035 1.797 2.665 17.719 3.800 5.630 1.058 0.003 µs -0.5256 11.34
Local Clock Frequency Offset -12.126 -11.593 -11.567 -11.506 -11.065 -11.031 -10.935 0.502 0.563 0.164 -11.439 ppm 1.554 4.006

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 0.581 0.672 1.045 1.613 1.852 12.533 0.941 1.271 0.362 1.093 µs 6.522 136.5

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 3.950 4.551 7.501 12.042 13.624 263.013 7.491 9.674 4.214 7.912 ppb 22.91 943.1

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 -23.805 -2.965 -2.003 0.035 1.797 2.665 17.719 3.800 5.630 1.058 0.003 µs -0.5256 11.34

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 -12.126 -11.593 -11.567 -11.506 -11.065 -11.031 -10.935 0.502 0.563 0.164 -11.439 ppm 1.554 4.006
Temp CPU 58.400 59.400 60.400 68.200 69.100 69.600 70.100 8.700 10.200 2.708 67.104 °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 30.000 32.000 34.000 37.000 40.000 41.000 42.000 6.000 9.000 1.894 36.685 nSat 0.1103 2.896
TDOP 0.470 0.510 0.540 0.620 0.710 0.760 0.860 0.170 0.250 0.052 0.620 0.2951 3.22

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 -64.528 -22.448 -18.727 -9.333 0.695 3.393 25.197 19.422 25.841 5.775 -8.920 µs -0.1236 4.218

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 -12.696 4.974 6.161 9.776 11.831 12.583 16.419 5.670 7.609 1.904 9.400 µs -1.117 9.829

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 -158.182 -72.937 -46.231 2.076 29.540 38.957 58.821 75.771 111.894 23.996 -1.969 µs -0.8575 4.016

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 10.0.50.30

peer offset 10.0.50.30 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 10.0.50.30 -18.765 17.879 20.824 27.240 31.098 32.168 34.648 10.274 14.289 3.382 26.631 µs -1.076 8.05

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 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 -38.409 -11.754 -7.054 1.607 4.586 5.347 44.112 11.640 17.101 3.827 0.617 µs -1.145 6.679

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 17.702 39.089 43.892 60.625 69.162 72.797 95.649 25.270 33.708 7.913 58.805 µs -0.5528 3.05

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 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) -29.039 -16.889 -13.308 -7.504 23.742 30.898 42.859 37.050 47.787 10.348 -4.024 µs 1.91 6.412

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) -14.522 16.807 18.421 23.918 28.739 30.434 77.115 10.318 13.627 3.398 23.758 µs 0.3737 14.76

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) -251.319 -100.418 -97.329 -90.641 -85.081 -83.072 -78.030 12.248 17.346 3.907 -90.838 ms -3.769 138.1

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) -17.189 -2.964 -2.002 0.036 1.797 2.664 6.816 3.799 5.628 1.050 0.002 µs -0.4602 6.807

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 1.757 2.611 7.481 24.527 44.000 552.389 21.916 42.243 23.453 10.439 µs 16.53 322.4

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 0.944 1.387 3.222 6.715 9.436 14.531 5.328 8.492 1.757 3.544 µs 1.38 6.398

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 3.328 4.946 14.644 46.980 67.350 317.334 42.034 64.022 14.013 18.877 µs 2.22 18.18

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 10.0.50.30

peer jitter 10.0.50.30 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 10.0.50.30 0.000 1.267 2.203 6.801 13.223 18.137 1,068.711 11.020 16.870 8.888 7.260 µs 95.24 1.134e+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.



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 0.809 1.320 5.073 12.666 15.766 74.083 11.346 14.957 4.038 5.900 µs 2.429 25.7

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 3.425 4.856 18.429 33.002 83.998 1,048.989 28.146 80.573 20.052 18.783 µs 20.51 794

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 1.495 2.093 4.846 23.067 35.461 534.834 20.974 33.966 15.480 8.245 µs 17.7 448.1

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) 7.402 27.241 31.309 44.834 55.126 59.431 277.727 23.817 32.190 8.308 43.252 µs 3.947 116.1

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 1.372 1.782 3.113 5.949 7.490 164.672 4.167 6.119 2.257 3.426 ms 31.19 1664

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 0.294 0.409 1.088 2.933 3.849 15.808 2.524 3.555 0.810 1.292 µs 1.552 8.727

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -12.126 -11.593 -11.567 -11.506 -11.065 -11.031 -10.935 0.502 0.563 0.164 -11.439 ppm 1.554 4.006
Local Clock Time Offset -23.805 -2.965 -2.003 0.035 1.797 2.665 17.719 3.800 5.630 1.058 0.003 µs -0.5256 11.34
Local RMS Frequency Jitter 0.000 3.950 4.551 7.501 12.042 13.624 263.013 7.491 9.674 4.214 7.912 ppb 22.91 943.1
Local RMS Time Jitter 0.001 0.581 0.672 1.045 1.613 1.852 12.533 0.941 1.271 0.362 1.093 µs 6.522 136.5
Server Jitter 10.0.50.10 0.000 1.757 2.611 7.481 24.527 44.000 552.389 21.916 42.243 23.453 10.439 µs 16.53 322.4
Server Jitter 10.0.50.100 0.000 0.944 1.387 3.222 6.715 9.436 14.531 5.328 8.492 1.757 3.544 µs 1.38 6.398
Server Jitter 10.0.50.200 0.000 3.328 4.946 14.644 46.980 67.350 317.334 42.034 64.022 14.013 18.877 µs 2.22 18.18
Server Jitter 10.0.50.30 0.000 1.267 2.203 6.801 13.223 18.137 1,068.711 11.020 16.870 8.888 7.260 µs 95.24 1.134e+04
Server Jitter 10.0.50.40 0.000 0.809 1.320 5.073 12.666 15.766 74.083 11.346 14.957 4.038 5.900 µs 2.429 25.7
Server Jitter 10.0.50.50 0.000 3.425 4.856 18.429 33.002 83.998 1,048.989 28.146 80.573 20.052 18.783 µs 20.51 794
Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) 0.000 1.495 2.093 4.846 23.067 35.461 534.834 20.974 33.966 15.480 8.245 µs 17.7 448.1
Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) 7.402 27.241 31.309 44.834 55.126 59.431 277.727 23.817 32.190 8.308 43.252 µs 3.947 116.1
Server Jitter SHM(0) 0.000 1.372 1.782 3.113 5.949 7.490 164.672 4.167 6.119 2.257 3.426 ms 31.19 1664
Server Jitter SHM(1) 0.000 0.294 0.409 1.088 2.933 3.849 15.808 2.524 3.555 0.810 1.292 µs 1.552 8.727
Server Offset 10.0.50.10 -64.528 -22.448 -18.727 -9.333 0.695 3.393 25.197 19.422 25.841 5.775 -8.920 µs -0.1236 4.218
Server Offset 10.0.50.100 -12.696 4.974 6.161 9.776 11.831 12.583 16.419 5.670 7.609 1.904 9.400 µs -1.117 9.829
Server Offset 10.0.50.200 -158.182 -72.937 -46.231 2.076 29.540 38.957 58.821 75.771 111.894 23.996 -1.969 µs -0.8575 4.016
Server Offset 10.0.50.30 -18.765 17.879 20.824 27.240 31.098 32.168 34.648 10.274 14.289 3.382 26.631 µs -1.076 8.05
Server Offset 10.0.50.40 -38.409 -11.754 -7.054 1.607 4.586 5.347 44.112 11.640 17.101 3.827 0.617 µs -1.145 6.679
Server Offset 10.0.50.50 17.702 39.089 43.892 60.625 69.162 72.797 95.649 25.270 33.708 7.913 58.805 µs -0.5528 3.05
Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) -29.039 -16.889 -13.308 -7.504 23.742 30.898 42.859 37.050 47.787 10.348 -4.024 µs 1.91 6.412
Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) -14.522 16.807 18.421 23.918 28.739 30.434 77.115 10.318 13.627 3.398 23.758 µs 0.3737 14.76
Server Offset SHM(0) -251.319 -100.418 -97.329 -90.641 -85.081 -83.072 -78.030 12.248 17.346 3.907 -90.838 ms -3.769 138.1
Server Offset SHM(1) -17.189 -2.964 -2.002 0.036 1.797 2.664 6.816 3.799 5.628 1.050 0.002 µs -0.4602 6.807
TDOP 0.470 0.510 0.540 0.620 0.710 0.760 0.860 0.170 0.250 0.052 0.620 0.2951 3.22
Temp CPU 58.400 59.400 60.400 68.200 69.100 69.600 70.100 8.700 10.200 2.708 67.104 °C
nSats 30.000 32.000 34.000 37.000 40.000 41.000 42.000 6.000 9.000 1.894 36.685 nSat 0.1103 2.896
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 ZED-F9T multiband 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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