NTPsec

NTP3: CM5, TimeHat LEA-M8T, NTPSec
One Day - September 15, 2026 09:00 UTC

Report generated: Tue Sep 15 09:04:19 2026 UTC
Start Time: Mon Sep 14 09:04:18 2026 UTC
End Time: Tue Sep 15 09:04:18 2026 UTC
Report Period: 1.0 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 -30.296 -3.593 -1.706 0.003 1.540 2.603 23.229 3.246 6.196 1.185 0.008 µs -1.841 98.53
Local Clock Frequency Offset -3.038 -2.234 -2.186 -2.047 -0.981 -0.943 -0.907 1.205 1.291 0.418 -1.849 ppm 1.299 2.996

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 0.315 0.381 0.817 2.075 4.590 17.685 1.694 4.275 0.863 1.011 µs 6.329 71.87

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 0.0000 0.0022 0.0027 0.0061 0.0146 0.037 35,315.212 0.0119 0.035 171.135 0.837 ppm 206.3 4.258e+04

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 -30.296 -3.593 -1.706 0.003 1.540 2.603 23.229 3.246 6.196 1.185 0.008 µs -1.841 98.53

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 -3.038 -2.234 -2.186 -2.047 -0.981 -0.943 -0.907 1.205 1.291 0.418 -1.849 ppm 1.299 2.996
Temp CPU 82.000 83.200 83.700 84.800 85.900 86.500 87.000 2.200 3.300 0.760 84.918 °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 11.000 23.000 26.000 28.000 30.000 31.000 32.000 4.000 8.000 1.721 28.155 nSat -3.449 30.76
TDOP 0.420 0.440 0.460 0.520 0.620 0.770 1.730 0.160 0.330 0.083 0.533 7.464 90.13

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 -51.120 -44.941 -39.854 -20.253 0.714 4.750 19.329 40.568 49.691 14.002 -20.406 µs 0.006351 1.697

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 -27.900 -17.074 -15.603 -14.805 -13.044 -11.593 14.822 2.559 5.481 1.190 -14.670 µs 6.578 150.8

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 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 -49.446 -39.720 -34.270 -6.095 0.106 4.983 56.584 34.376 44.703 10.539 -9.553 µs -1.476 4.995

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 -154.534 -97.496 -58.243 3.442 27.306 34.063 54.574 85.549 131.559 27.781 -4.116 µs -1.288 4.833

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 -28.672 -12.515 -10.604 -3.387 2.273 4.964 31.327 12.877 17.479 4.228 -3.824 µs 0.2248 5.185

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 -26.026 25.376 30.071 45.716 61.410 66.331 84.913 31.339 40.955 10.615 45.060 µs -0.03238 2.535

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) -47.638 -40.081 -38.575 -11.597 -4.030 0.758 11.361 34.545 40.839 11.672 -16.186 µs -0.9184 2.581

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) -16.909 -14.965 -13.076 -10.183 -7.138 -4.537 94.511 5.938 10.428 4.342 -9.883 µs 17.06 370.4

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 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) -735.267 -294.721 -287.094 -271.679 -254.758 -218.021 837.346 32.336 76.700 40.624 -269.656 ms 21.76 581.1

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) -0.000 -0.000 -0.000 0.000 0.000 0.000 12,101,091.249 0.000 0.000 101,469.590 851.883 s 119.1 1.419e+04

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 1.537 2.284 17.076 32.802 40.260 793.243 30.518 38.723 17.608 17.090 µs 22.77 923.8

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 10.0.50.100

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 0.233 0.361 1.318 2.871 4.762 29.880 2.510 4.529 1.055 1.442 µs 6.361 115

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 1.611 2.597 14.941 30.552 34.166 59.137 27.955 32.555 9.328 15.644 µs 0.2111 1.955

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 0.005 0.009 0.020 0.055 0.076 58.421 0.046 0.071 0.989 0.042 ms 55.59 3138

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 1.220 1.985 6.180 16.913 23.322 35.466 14.928 22.102 4.856 7.511 µs 1.242 4.703

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 3.621 5.575 13.880 26.083 31.738 90.549 20.508 28.117 6.429 14.664 µs 1.088 8.529

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 1.664 2.591 21.366 31.090 46.897 226.546 28.499 45.233 13.958 20.011 µs 6.598 91.08

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 25.442 26.809 41.386 50.619 54.461 79.502 23.810 29.019 8.012 39.831 µs -0.2206 3.318

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 2.414 3.258 6.362 13.179 20.434 1,354.469 9.921 18.020 33.159 8.671 ms 22.89 584.4

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 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 12,101,091.249 0.000 0.000 210,791.438 5,702.602 s 41.57 1913

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 -3.038 -2.234 -2.186 -2.047 -0.981 -0.943 -0.907 1.205 1.291 0.418 -1.849 ppm 1.299 2.996
Local Clock Time Offset -30.296 -3.593 -1.706 0.003 1.540 2.603 23.229 3.246 6.196 1.185 0.008 µs -1.841 98.53
Local RMS Frequency Jitter 0.0000 0.0022 0.0027 0.0061 0.0146 0.037 35,315.212 0.0119 0.035 171.135 0.837 ppm 206.3 4.258e+04
Local RMS Time Jitter 0.001 0.315 0.381 0.817 2.075 4.590 17.685 1.694 4.275 0.863 1.011 µs 6.329 71.87
Server Jitter 10.0.50.10 0.000 1.537 2.284 17.076 32.802 40.260 793.243 30.518 38.723 17.608 17.090 µs 22.77 923.8
Server Jitter 10.0.50.100 0.000 0.233 0.361 1.318 2.871 4.762 29.880 2.510 4.529 1.055 1.442 µs 6.361 115
Server Jitter 10.0.50.20 0.000 1.611 2.597 14.941 30.552 34.166 59.137 27.955 32.555 9.328 15.644 µs 0.2111 1.955
Server Jitter 10.0.50.200 0.000 0.005 0.009 0.020 0.055 0.076 58.421 0.046 0.071 0.989 0.042 ms 55.59 3138
Server Jitter 10.0.50.40 0.000 1.220 1.985 6.180 16.913 23.322 35.466 14.928 22.102 4.856 7.511 µs 1.242 4.703
Server Jitter 10.0.50.50 0.000 3.621 5.575 13.880 26.083 31.738 90.549 20.508 28.117 6.429 14.664 µs 1.088 8.529
Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) 0.000 1.664 2.591 21.366 31.090 46.897 226.546 28.499 45.233 13.958 20.011 µs 6.598 91.08
Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) 0.000 25.442 26.809 41.386 50.619 54.461 79.502 23.810 29.019 8.012 39.831 µs -0.2206 3.318
Server Jitter SHM(0) 0.000 2.414 3.258 6.362 13.179 20.434 1,354.469 9.921 18.020 33.159 8.671 ms 22.89 584.4
Server Jitter SHM(1) 0.000 0.000 0.000 0.000 0.000 0.000 12,101,091.249 0.000 0.000 210,791.438 5,702.602 s 41.57 1913
Server Offset 10.0.50.10 -51.120 -44.941 -39.854 -20.253 0.714 4.750 19.329 40.568 49.691 14.002 -20.406 µs 0.006351 1.697
Server Offset 10.0.50.100 -27.900 -17.074 -15.603 -14.805 -13.044 -11.593 14.822 2.559 5.481 1.190 -14.670 µs 6.578 150.8
Server Offset 10.0.50.20 -49.446 -39.720 -34.270 -6.095 0.106 4.983 56.584 34.376 44.703 10.539 -9.553 µs -1.476 4.995
Server Offset 10.0.50.200 -154.534 -97.496 -58.243 3.442 27.306 34.063 54.574 85.549 131.559 27.781 -4.116 µs -1.288 4.833
Server Offset 10.0.50.40 -28.672 -12.515 -10.604 -3.387 2.273 4.964 31.327 12.877 17.479 4.228 -3.824 µs 0.2248 5.185
Server Offset 10.0.50.50 -26.026 25.376 30.071 45.716 61.410 66.331 84.913 31.339 40.955 10.615 45.060 µs -0.03238 2.535
Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) -47.638 -40.081 -38.575 -11.597 -4.030 0.758 11.361 34.545 40.839 11.672 -16.186 µs -0.9184 2.581
Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) -16.909 -14.965 -13.076 -10.183 -7.138 -4.537 94.511 5.938 10.428 4.342 -9.883 µs 17.06 370.4
Server Offset SHM(0) -735.267 -294.721 -287.094 -271.679 -254.758 -218.021 837.346 32.336 76.700 40.624 -269.656 ms 21.76 581.1
Server Offset SHM(1) -0.000 -0.000 -0.000 0.000 0.000 0.000 12,101,091.249 0.000 0.000 101,469.590 851.883 s 119.1 1.419e+04
TDOP 0.420 0.440 0.460 0.520 0.620 0.770 1.730 0.160 0.330 0.083 0.533 7.464 90.13
Temp CPU 82.000 83.200 83.700 84.800 85.900 86.500 87.000 2.200 3.300 0.760 84.918 °C
nSats 11.000 23.000 26.000 28.000 30.000 31.000 32.000 4.000 8.000 1.721 28.155 nSat -3.449 30.76
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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