NTPsec

NTP5: RPi3B+, Uputronics MAX-M8Q, NTPSec
Three Day - September 14, 2026 06:00 UTC

Report generated: Mon Sep 14 06:07:23 2026 UTC
Start Time: Fri Sep 11 06:07:20 2026 UTC
End Time: Mon Sep 14 06:07:20 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

NTP5 is a Raspberry Pi 3B+ with an older model Uputronics GNSS HAT v. 4.1 using a u-blox MAX-M8Q receiver.

If graphs don't match report time above, force refresh the browser. The images have been cached.


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 -38.599 -3.542 -2.594 0.070 2.251 3.255 20.301 4.845 6.797 1.271 -0.000 µs -0.4909 11.67
Local Clock Frequency Offset 4.669 4.816 4.850 4.983 5.124 5.185 5.265 0.274 0.368 0.084 4.984 ppm 0.1116 2.828

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 0.458 0.675 0.779 1.207 1.841 2.107 21.079 1.062 1.432 0.370 1.251 µs 7.479 300.7

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 3.652 4.946 5.625 9.242 14.354 16.085 111.122 8.729 11.139 2.898 9.504 ppb 2.988 80.3

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 -38.599 -3.542 -2.594 0.070 2.251 3.255 20.301 4.845 6.797 1.271 -0.000 µs -0.4909 11.67

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 4.669 4.816 4.850 4.983 5.124 5.185 5.265 0.274 0.368 0.084 4.984 ppm 0.1116 2.828
Temp CPU 51.500 52.100 53.200 60.100 60.700 61.200 61.800 7.500 9.100 2.126 59.203 °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 12.000 12.000 12.000 12.000 12.000 12.000 19.000 0.000 0.000 0.450 12.042 nSat 11.59 144
TDOP 0.470 0.500 0.530 0.650 0.820 0.990 1.220 0.290 0.490 0.096 0.658 1.166 6.129

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 10.0.50.20

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 -90.769 -73.234 -41.284 -18.508 -2.607 2.816 15.305 38.677 76.050 13.079 -20.014 µs -1.407 7.122

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 -196.142 -117.813 -91.952 -40.124 17.511 36.230 75.028 109.463 154.043 32.373 -39.695 µs 0.006431 3.272

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 -64.188 -41.643 -37.945 -25.326 -11.264 -6.516 30.857 26.681 35.127 8.511 -24.940 µs 0.1893 2.729

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 -82.917 -67.531 -57.894 -20.551 0.429 7.176 34.916 58.323 74.707 17.347 -23.532 µs -0.6667 2.958

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) -89.761 -75.962 -66.711 -28.672 -6.712 0.594 32.019 59.999 76.556 18.083 -31.514 µs -0.5647 2.813

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) -62.934 -50.532 -47.161 -40.545 -32.462 -25.306 29.021 14.699 25.226 4.995 -40.287 µs 1.725 16.75

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) -225.614 -192.000 -175.990 -165.052 -158.342 -155.599 -146.909 17.647 36.400 6.355 -165.972 ms -2.07 10.28

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) -38.600 -3.543 -2.595 0.071 2.252 3.256 20.302 4.847 6.799 1.272 0.000 µs -0.4905 11.65

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 10.0.50.20

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 6.602 10.482 25.130 46.125 57.302 142.535 35.643 50.700 10.909 26.435 µs 0.898 6.078

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 1.500 5.294 7.600 22.952 67.273 87.962 308.657 59.673 82.668 19.350 28.552 µs 1.424 7.274

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 2.594 3.532 7.437 17.366 22.536 176.813 13.834 19.942 4.922 8.587 µs 6.585 171.1

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 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 7.592 11.850 29.321 48.858 56.726 150.924 37.008 49.134 11.264 29.651 µs 0.3699 3.993

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) 2.733 10.021 14.104 31.569 53.212 63.930 526.828 39.108 53.909 15.980 32.718 µs 7.851 162.5

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) 12.544 75.391 83.799 125.787 145.639 153.835 194.641 61.840 78.444 21.300 118.103 µs -0.3506 1.968

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) 0.251 0.724 0.975 2.076 17.310 24.095 61.007 16.336 23.371 4.824 3.818 ms 2.963 12.11

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) 0.099 0.330 0.466 1.291 3.666 4.597 38.653 3.200 4.267 0.997 1.541 µs 2.032 28.06

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 4.669 4.816 4.850 4.983 5.124 5.185 5.265 0.274 0.368 0.084 4.984 ppm 0.1116 2.828
Local Clock Time Offset -38.599 -3.542 -2.594 0.070 2.251 3.255 20.301 4.845 6.797 1.271 -0.000 µs -0.4909 11.67
Local RMS Frequency Jitter 3.652 4.946 5.625 9.242 14.354 16.085 111.122 8.729 11.139 2.898 9.504 ppb 2.988 80.3
Local RMS Time Jitter 0.458 0.675 0.779 1.207 1.841 2.107 21.079 1.062 1.432 0.370 1.251 µs 7.479 300.7
Server Jitter 10.0.50.20 0.000 6.602 10.482 25.130 46.125 57.302 142.535 35.643 50.700 10.909 26.435 µs 0.898 6.078
Server Jitter 10.0.50.200 1.500 5.294 7.600 22.952 67.273 87.962 308.657 59.673 82.668 19.350 28.552 µs 1.424 7.274
Server Jitter 10.0.50.30 0.000 2.594 3.532 7.437 17.366 22.536 176.813 13.834 19.942 4.922 8.587 µs 6.585 171.1
Server Jitter 10.0.50.40 0.000 7.592 11.850 29.321 48.858 56.726 150.924 37.008 49.134 11.264 29.651 µs 0.3699 3.993
Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) 2.733 10.021 14.104 31.569 53.212 63.930 526.828 39.108 53.909 15.980 32.718 µs 7.851 162.5
Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) 12.544 75.391 83.799 125.787 145.639 153.835 194.641 61.840 78.444 21.300 118.103 µs -0.3506 1.968
Server Jitter SHM(0) 0.251 0.724 0.975 2.076 17.310 24.095 61.007 16.336 23.371 4.824 3.818 ms 2.963 12.11
Server Jitter SHM(1) 0.099 0.330 0.466 1.291 3.666 4.597 38.653 3.200 4.267 0.997 1.541 µs 2.032 28.06
Server Offset 10.0.50.20 -90.769 -73.234 -41.284 -18.508 -2.607 2.816 15.305 38.677 76.050 13.079 -20.014 µs -1.407 7.122
Server Offset 10.0.50.200 -196.142 -117.813 -91.952 -40.124 17.511 36.230 75.028 109.463 154.043 32.373 -39.695 µs 0.006431 3.272
Server Offset 10.0.50.30 -64.188 -41.643 -37.945 -25.326 -11.264 -6.516 30.857 26.681 35.127 8.511 -24.940 µs 0.1893 2.729
Server Offset 10.0.50.40 -82.917 -67.531 -57.894 -20.551 0.429 7.176 34.916 58.323 74.707 17.347 -23.532 µs -0.6667 2.958
Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) -89.761 -75.962 -66.711 -28.672 -6.712 0.594 32.019 59.999 76.556 18.083 -31.514 µs -0.5647 2.813
Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) -62.934 -50.532 -47.161 -40.545 -32.462 -25.306 29.021 14.699 25.226 4.995 -40.287 µs 1.725 16.75
Server Offset SHM(0) -225.614 -192.000 -175.990 -165.052 -158.342 -155.599 -146.909 17.647 36.400 6.355 -165.972 ms -2.07 10.28
Server Offset SHM(1) -38.600 -3.543 -2.595 0.071 2.252 3.256 20.302 4.847 6.799 1.272 0.000 µs -0.4905 11.65
TDOP 0.470 0.500 0.530 0.650 0.820 0.990 1.220 0.290 0.490 0.096 0.658 1.166 6.129
Temp CPU 51.500 52.100 53.200 60.100 60.700 61.200 61.800 7.500 9.100 2.126 59.203 °C
nSats 12.000 12.000 12.000 12.000 12.000 12.000 19.000 0.000 0.000 0.450 12.042 nSat 11.59 144
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

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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