NTPsec

time.achjoj.info

Report generated: Thu Jun 4 16:33:02 2026 UTC
Start Time: Wed Jun 3 14:09:02 2026 UTC
End Time: Thu Jun 4 16:33:02 2026 UTC
Report Period: 1.1 days

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 -14.064 -7.936 -4.328 -0.029 2.689 6.221 13.084 7.017 14.157 2.369 -0.289 ms -5.373 19.83
Local Clock Frequency Offset 13.503 15.341 16.973 21.399 39.952 47.839 50.127 22.979 32.498 7.199 24.145 ppm 21.56 82.36

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 0.429 0.615 0.785 1.469 3.291 4.237 5.340 2.506 3.622 0.801 1.682 ms 5.938 19.12

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 0.099 0.142 0.193 0.446 2.529 4.710 7.295 2.336 4.568 0.869 0.783 ppm 2.753 13.76

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 -14.064 -7.936 -4.328 -0.029 2.689 6.221 13.084 7.017 14.157 2.369 -0.289 ms -5.373 19.83

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 13.503 15.341 16.973 21.399 39.952 47.839 50.127 22.979 32.498 7.199 24.145 ppm 21.56 82.36
Temp /dev/sdb 33.000 33.000 33.000 34.000 35.000 35.000 35.000 2.000 2.000 0.676 33.650 °C
Temp LM0 18.000 18.000 19.000 21.000 24.000 25.000 26.000 5.000 7.000 1.602 21.000 °C
Temp LM1 17.000 17.000 18.000 19.000 23.000 23.000 24.000 5.000 6.000 1.496 19.576 °C
Temp LM2 51.000 51.000 51.000 52.000 53.000 54.000 54.000 2.000 3.000 0.824 51.825 °C
Temp LM3 20.500 21.000 21.500 22.500 24.000 24.500 24.500 2.500 3.500 0.879 22.573 °C
Temp LM4 20.500 21.000 21.500 22.500 24.500 24.500 24.500 3.000 3.500 0.887 22.561 °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 3.000 4.000 5.000 7.000 9.000 10.000 11.000 4.000 6.000 1.285 7.382 nSat 120.9 641
TDOP 0.590 0.640 0.750 1.110 2.430 4.380 6.290 1.680 3.740 0.651 1.277 7.315 40.8

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 150.254.190.51

peer offset 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 150.254.190.51 -18.419 -16.877 -13.217 -3.382 2.103 5.593 6.499 15.320 22.469 4.283 -4.045 ms -14.04 48.1

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 153.19.250.123

peer offset 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 153.19.250.123 -16.636 -15.320 -11.381 -4.863 1.336 4.085 5.711 12.717 19.405 3.596 -5.053 ms -21.38 74.54

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 193.110.137.171

peer offset 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 193.110.137.171 -19.657 -17.183 -13.578 -5.237 0.123 4.201 5.812 13.701 21.385 3.903 -5.674 ms -22.72 82.24

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 194.146.251.100

peer offset 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.100 -20.275 -18.172 -13.947 -5.342 0.263 4.594 5.175 14.210 22.766 4.068 -5.782 ms -22.13 80.55

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 194.146.251.101

peer offset 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.101 -19.362 -17.328 -12.362 -5.011 0.243 4.677 5.681 12.605 22.005 3.759 -5.285 ms -21.62 77.59

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 194.29.130.252

peer offset 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.29.130.252 -20.684 -17.652 -13.376 -4.910 0.825 4.044 5.061 14.200 21.696 3.968 -5.327 ms -20.62 74.45

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 195.187.245.55

peer offset 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 195.187.245.55 -21.158 -17.299 -14.257 -5.415 0.691 3.849 5.624 14.948 21.148 4.069 -5.774 ms -21.97 79.07

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 213.135.57.60

peer offset 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 213.135.57.60 -20.656 -16.027 -13.040 -5.259 0.386 3.183 5.717 13.426 19.210 3.647 -5.665 ms -24.83 91.64

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) -8.717 -3.115 -0.666 4.855 17.966 21.309 27.428 18.632 24.424 5.805 6.545 ms 1.15 3.359

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 150.254.190.51

peer jitter 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 150.254.190.51 0.537 0.564 0.828 2.792 12.432 17.783 18.910 11.604 17.219 3.425 3.863 ms 2.622 9.521

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 153.19.250.123

peer jitter 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 153.19.250.123 0.387 0.574 0.917 2.658 9.921 14.916 20.781 9.004 14.342 3.020 3.640 ms 2.726 10.56

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 193.110.137.171

peer jitter 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 193.110.137.171 0.500 0.606 0.869 2.546 10.197 15.679 19.147 9.328 15.074 3.030 3.618 ms 2.768 10.81

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 194.146.251.100

peer jitter 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.100 0.400 0.505 0.862 2.654 10.075 17.217 20.339 9.212 16.712 3.087 3.627 ms 3.018 12.61

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 194.146.251.101

peer jitter 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.101 0.535 0.711 1.030 2.693 10.264 15.913 17.149 9.234 15.202 2.851 3.561 ms 3.061 11.8

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 194.29.130.252

peer jitter 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.29.130.252 0.328 0.474 0.856 2.616 8.610 14.874 15.988 7.754 14.400 2.834 3.430 ms 2.929 10.97

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 195.187.245.55

peer jitter 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 195.187.245.55 0.358 0.541 0.789 2.474 10.251 17.587 20.817 9.462 17.046 3.359 3.699 ms 2.616 10.36

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 213.135.57.60

peer jitter 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 213.135.57.60 0.616 0.637 0.908 2.569 10.876 16.723 19.189 9.967 16.085 3.169 3.607 ms 2.692 10.29

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) 0.264 0.593 0.873 2.188 5.201 7.359 10.863 4.329 6.767 1.389 2.502 ms 4.379 15.07

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 13.503 15.341 16.973 21.399 39.952 47.839 50.127 22.979 32.498 7.199 24.145 ppm 21.56 82.36
Local Clock Time Offset -14.064 -7.936 -4.328 -0.029 2.689 6.221 13.084 7.017 14.157 2.369 -0.289 ms -5.373 19.83
Local RMS Frequency Jitter 0.099 0.142 0.193 0.446 2.529 4.710 7.295 2.336 4.568 0.869 0.783 ppm 2.753 13.76
Local RMS Time Jitter 0.429 0.615 0.785 1.469 3.291 4.237 5.340 2.506 3.622 0.801 1.682 ms 5.938 19.12
Server Jitter 150.254.190.51 0.537 0.564 0.828 2.792 12.432 17.783 18.910 11.604 17.219 3.425 3.863 ms 2.622 9.521
Server Jitter 153.19.250.123 0.387 0.574 0.917 2.658 9.921 14.916 20.781 9.004 14.342 3.020 3.640 ms 2.726 10.56
Server Jitter 193.110.137.171 0.500 0.606 0.869 2.546 10.197 15.679 19.147 9.328 15.074 3.030 3.618 ms 2.768 10.81
Server Jitter 194.146.251.100 0.400 0.505 0.862 2.654 10.075 17.217 20.339 9.212 16.712 3.087 3.627 ms 3.018 12.61
Server Jitter 194.146.251.101 0.535 0.711 1.030 2.693 10.264 15.913 17.149 9.234 15.202 2.851 3.561 ms 3.061 11.8
Server Jitter 194.29.130.252 0.328 0.474 0.856 2.616 8.610 14.874 15.988 7.754 14.400 2.834 3.430 ms 2.929 10.97
Server Jitter 195.187.245.55 0.358 0.541 0.789 2.474 10.251 17.587 20.817 9.462 17.046 3.359 3.699 ms 2.616 10.36
Server Jitter 213.135.57.60 0.616 0.637 0.908 2.569 10.876 16.723 19.189 9.967 16.085 3.169 3.607 ms 2.692 10.29
Server Jitter SHM(0) 0.264 0.593 0.873 2.188 5.201 7.359 10.863 4.329 6.767 1.389 2.502 ms 4.379 15.07
Server Offset 150.254.190.51 -18.419 -16.877 -13.217 -3.382 2.103 5.593 6.499 15.320 22.469 4.283 -4.045 ms -14.04 48.1
Server Offset 153.19.250.123 -16.636 -15.320 -11.381 -4.863 1.336 4.085 5.711 12.717 19.405 3.596 -5.053 ms -21.38 74.54
Server Offset 193.110.137.171 -19.657 -17.183 -13.578 -5.237 0.123 4.201 5.812 13.701 21.385 3.903 -5.674 ms -22.72 82.24
Server Offset 194.146.251.100 -20.275 -18.172 -13.947 -5.342 0.263 4.594 5.175 14.210 22.766 4.068 -5.782 ms -22.13 80.55
Server Offset 194.146.251.101 -19.362 -17.328 -12.362 -5.011 0.243 4.677 5.681 12.605 22.005 3.759 -5.285 ms -21.62 77.59
Server Offset 194.29.130.252 -20.684 -17.652 -13.376 -4.910 0.825 4.044 5.061 14.200 21.696 3.968 -5.327 ms -20.62 74.45
Server Offset 195.187.245.55 -21.158 -17.299 -14.257 -5.415 0.691 3.849 5.624 14.948 21.148 4.069 -5.774 ms -21.97 79.07
Server Offset 213.135.57.60 -20.656 -16.027 -13.040 -5.259 0.386 3.183 5.717 13.426 19.210 3.647 -5.665 ms -24.83 91.64
Server Offset SHM(0) -8.717 -3.115 -0.666 4.855 17.966 21.309 27.428 18.632 24.424 5.805 6.545 ms 1.15 3.359
TDOP 0.590 0.640 0.750 1.110 2.430 4.380 6.290 1.680 3.740 0.651 1.277 7.315 40.8
Temp /dev/sdb 33.000 33.000 33.000 34.000 35.000 35.000 35.000 2.000 2.000 0.676 33.650 °C
Temp LM0 18.000 18.000 19.000 21.000 24.000 25.000 26.000 5.000 7.000 1.602 21.000 °C
Temp LM1 17.000 17.000 18.000 19.000 23.000 23.000 24.000 5.000 6.000 1.496 19.576 °C
Temp LM2 51.000 51.000 51.000 52.000 53.000 54.000 54.000 2.000 3.000 0.824 51.825 °C
Temp LM3 20.500 21.000 21.500 22.500 24.000 24.500 24.500 2.500 3.500 0.879 22.573 °C
Temp LM4 20.500 21.000 21.500 22.500 24.500 24.500 24.500 3.000 3.500 0.887 22.561 °C
nSats 3.000 4.000 5.000 7.000 9.000 10.000 11.000 4.000 6.000 1.285 7.382 nSat 120.9 641
Summary as CSV file

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.
kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of 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".
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 Pearson's moment coefficient of skewness. Wikipedia describes it best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
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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