NTPsec

NTP5: RPi3B+, Uputronics MAX-M8Q, NTPSec
Two Day - September 15, 2026 10:00 UTC

Report generated: Tue Sep 15 10:05:01 2026 UTC
Start Time: Sun Sep 13 10:04:59 2026 UTC
End Time: Tue Sep 15 10:04:59 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

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

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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 -41.493 -3.561 -2.625 0.072 2.276 3.263 20.705 4.901 6.824 1.282 -0.000 µs -0.6333 18.21
Local Clock Frequency Offset 4.673 4.798 4.846 4.978 5.132 5.193 5.265 0.286 0.395 0.088 4.981 ppm 0.1801 2.895

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 0.470 0.678 0.779 1.213 1.852 2.128 22.597 1.073 1.450 0.397 1.257 µs 10.99 451.9

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 3.848 4.934 5.631 9.284 14.436 16.277 117.742 8.805 11.343 3.026 9.550 ppb 4.642 133.6

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 -41.493 -3.561 -2.625 0.072 2.276 3.263 20.705 4.901 6.824 1.282 -0.000 µs -0.6333 18.21

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 4.673 4.798 4.846 4.978 5.132 5.193 5.265 0.286 0.395 0.088 4.981 ppm 0.1801 2.895
Temp CPU 51.500 52.100 52.600 60.100 60.700 61.200 61.800 8.100 9.100 2.523 58.722 °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 20.000 0.000 0.000 0.509 12.048 nSat 11.34 136.9
TDOP 0.450 0.480 0.520 0.640 0.820 0.920 1.210 0.300 0.440 0.095 0.653 0.937 5.34

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 -94.273 -84.459 -76.130 -23.844 -4.017 3.464 54.045 72.113 87.923 21.043 -28.976 µs -1.042 3.555

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 -233.650 -121.499 -94.037 -35.270 21.307 39.928 75.028 115.344 161.427 34.508 -36.087 µs -0.1909 3.305

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 -63.996 -41.551 -37.524 -22.048 -8.182 -4.669 51.923 29.342 36.882 9.273 -22.368 µs -0.05767 2.645

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 -65.706 -53.072 -18.875 1.048 7.481 27.608 54.120 73.187 15.923 -20.981 µs -0.7313 3.408

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) -89.764 -77.109 -68.353 -29.238 -7.051 0.732 46.684 61.302 77.841 18.464 -32.183 µs -0.5689 2.823

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) -61.772 -50.256 -47.164 -40.412 -32.456 -24.616 29.021 14.708 25.640 4.957 -40.208 µs 1.486 14.48

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) -206.385 -175.132 -172.001 -165.008 -158.583 -156.200 -148.096 13.419 18.932 4.038 -164.985 ms -0.2634 3.689

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) -41.494 -3.562 -2.625 0.073 2.277 3.264 20.706 4.902 6.826 1.282 0.000 µs -0.6327 18.18

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 4.623 7.098 22.618 52.760 63.592 142.535 45.662 58.969 14.080 25.123 µs 0.9059 4.038

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 1.608 5.463 7.873 24.776 70.339 91.896 152.979 62.466 86.433 20.133 30.290 µs 1.194 4.367

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 2.469 3.513 7.456 17.837 23.130 133.650 14.324 20.661 4.883 8.681 µs 3.827 64.5

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 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 13.149 29.828 49.050 57.124 150.924 35.901 49.532 11.043 30.334 µs 0.3418 3.885

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 10.167 14.428 32.174 53.458 64.147 798.197 39.030 53.980 18.723 33.387 µs 16.7 580.3

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) 52.655 75.471 84.063 125.845 146.289 154.256 195.642 62.226 78.785 21.298 118.318 µs -0.3582 1.947

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 0.698 0.931 1.812 4.461 6.833 36.910 3.530 6.135 1.301 2.162 ms 3.696 43.12

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) 0.116 0.331 0.466 1.299 3.696 4.633 41.458 3.230 4.302 1.017 1.551 µs 2.62 47.91

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 4.673 4.798 4.846 4.978 5.132 5.193 5.265 0.286 0.395 0.088 4.981 ppm 0.1801 2.895
Local Clock Time Offset -41.493 -3.561 -2.625 0.072 2.276 3.263 20.705 4.901 6.824 1.282 -0.000 µs -0.6333 18.21
Local RMS Frequency Jitter 3.848 4.934 5.631 9.284 14.436 16.277 117.742 8.805 11.343 3.026 9.550 ppb 4.642 133.6
Local RMS Time Jitter 0.470 0.678 0.779 1.213 1.852 2.128 22.597 1.073 1.450 0.397 1.257 µs 10.99 451.9
Server Jitter 10.0.50.20 0.000 4.623 7.098 22.618 52.760 63.592 142.535 45.662 58.969 14.080 25.123 µs 0.9059 4.038
Server Jitter 10.0.50.200 1.608 5.463 7.873 24.776 70.339 91.896 152.979 62.466 86.433 20.133 30.290 µs 1.194 4.367
Server Jitter 10.0.50.30 0.000 2.469 3.513 7.456 17.837 23.130 133.650 14.324 20.661 4.883 8.681 µs 3.827 64.5
Server Jitter 10.0.50.40 0.000 7.592 13.149 29.828 49.050 57.124 150.924 35.901 49.532 11.043 30.334 µs 0.3418 3.885
Server Jitter 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) 2.733 10.167 14.428 32.174 53.458 64.147 798.197 39.030 53.980 18.723 33.387 µs 16.7 580.3
Server Jitter 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) 52.655 75.471 84.063 125.845 146.289 154.256 195.642 62.226 78.785 21.298 118.318 µs -0.3582 1.947
Server Jitter SHM(0) 0.251 0.698 0.931 1.812 4.461 6.833 36.910 3.530 6.135 1.301 2.162 ms 3.696 43.12
Server Jitter SHM(1) 0.116 0.331 0.466 1.299 3.696 4.633 41.458 3.230 4.302 1.017 1.551 µs 2.62 47.91
Server Offset 10.0.50.20 -94.273 -84.459 -76.130 -23.844 -4.017 3.464 54.045 72.113 87.923 21.043 -28.976 µs -1.042 3.555
Server Offset 10.0.50.200 -233.650 -121.499 -94.037 -35.270 21.307 39.928 75.028 115.344 161.427 34.508 -36.087 µs -0.1909 3.305
Server Offset 10.0.50.30 -63.996 -41.551 -37.524 -22.048 -8.182 -4.669 51.923 29.342 36.882 9.273 -22.368 µs -0.05767 2.645
Server Offset 10.0.50.40 -82.917 -65.706 -53.072 -18.875 1.048 7.481 27.608 54.120 73.187 15.923 -20.981 µs -0.7313 3.408
Server Offset 2404:e80:8cd6:0:76fe:48ff:fe23:eac3 (2404-e80-8cd6-0-76fe-48ff-fe23-eac3.v6.dyn.launtel.au) -89.764 -77.109 -68.353 -29.238 -7.051 0.732 46.684 61.302 77.841 18.464 -32.183 µs -0.5689 2.823
Server Offset 2404:e80:8cd6:0:a239:75ff:fe00:17 (leontp.bollar.com) -61.772 -50.256 -47.164 -40.412 -32.456 -24.616 29.021 14.708 25.640 4.957 -40.208 µs 1.486 14.48
Server Offset SHM(0) -206.385 -175.132 -172.001 -165.008 -158.583 -156.200 -148.096 13.419 18.932 4.038 -164.985 ms -0.2634 3.689
Server Offset SHM(1) -41.494 -3.562 -2.625 0.073 2.277 3.264 20.706 4.902 6.826 1.282 0.000 µs -0.6327 18.18
TDOP 0.450 0.480 0.520 0.640 0.820 0.920 1.210 0.300 0.440 0.095 0.653 0.937 5.34
Temp CPU 51.500 52.100 52.600 60.100 60.700 61.200 61.800 8.100 9.100 2.523 58.722 °C
nSats 12.000 12.000 12.000 12.000 12.000 12.000 20.000 0.000 0.000 0.509 12.048 nSat 11.34 136.9
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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