Reports until 16:01, Wednesday 20 July 2016
H1 DetChar (DetChar, PEM)
paul.schale@LIGO.ORG - posted 16:01, Wednesday 20 July 2016 - last comment - 16:27, Thursday 21 July 2016(28534)
A class of O1 blip glitches is correlated with low relative humidity in the buildings

We have been studying the list of blip glitches that Miriam Cabero Müller generated for O1. We noticed that the rate of blip glitches increased dramatically during two time periods, see figure 1. We first checked if the glitch rate might be correlated with outside temperature, in case the blip glitches were produced by beam tube particulate events. The correlation with outside temperature was strong, but, for beam tube particulate, we expected it to be stronger with rate of temperature change than with temperature, and it was not. So we checked relative humidity and found that inside relative humidity was well correlated with outside temperature (and glitch rate), most likely because of the extra heating needed in cold spells.  A plot of the blip glitch rate and RH inside the CS mass storage room is attached.  

While the correlation with inside relative humidity is not better than with outside temperature, we plot inside relative humidity because we can better speculate on reasons for the correlation. Dry conditions may lead to the build up and discharge of static electricity on electronics cooling fans. Alternatively, there may be current leakage paths that are more likely to discharge in bursts when the pathways dry out. While this is, at best, speculation, we set up a magnetometer near the HV line for the EY ESD to monitor for possible small short fluctuations in current that are correlated with blip glitches. At the same time, we suggest that, as risk mitigation, we consider humidifying the experimental areas during cold snaps.

The low-humidity correlated blip glitches may represent a different population of glitches because they have statistically significantly smaller SNRs than the background blip glitches.  We analyzed the distribution of SNR (as reported by pycbc) of the blip glitches during three time periods – segments 1, 2, and a relatively quiet period from October 5 – October 20 (segment 3).  This gave approximately 600 blip glitches for each segment.  Figure 2 is a histogram of these

To determine if these distributions are statistically different, we used the Mann-Whitney U test.   Segments 2 and 3 matched, reporting a one-sided p-value of 0.18.  The distribution in SNR for segment 3 - the low glitch rate times -  did not match either segment 1 or 2, with p-values of 0.0015 and 2.0e-5, respectively.  Thus we can conclude that the distributions of 1 and 2 are statistically significantly different from 3.

We are currently examining the diurnal variations in the rate of these blip glitches, and will post an alog about that soon.

 

Paul Schale, Robert Schofield, Jordan Palamos

 

We have been studying the list of blip glitches that Miriam Cabero Müller generated for O1. We noticed that the rate of blip glitches increased dramatically during two time periods, see figure 1. We first checked if the glitch rate might be correlated with outside temperature, in case the blip glitches were produced by beam tube particulate events. The correlation with outside temperature was strong, but, for beam tube particulate, we expected it to be stronger with rate of temperature change than with temperature, and it was not. So we checked relative humidity and found that inside relative humidity was well correlated with outside temperature (and glitch rate), most likely because of the extra heating needed in cold spells.  A plot of the blip glitch rate and RH inside the CS mass storage room is attached.  
 
While the correlation with inside relative humidity is not better than with outside temperature, we plot inside relative humidity because we can better speculate on reasons for the correlation. Dry conditions may lead to the build up and discharge of static electricity on electronics cooling fans. Alternatively, there may be current leakage paths that are more likely to discharge in bursts when the pathways dry out. While this is, at best, speculation, we set up a magnetometer near the HV line for the EY ESD to monitor for possible small short fluctuations in current that are correlated with blip glitches. At the same time, we suggest that, as risk mitigation, we consider humidifying the experimental areas during cold snaps.
 
The low-humidity correlated blip glitches may represent a different population of glitches because they have statistically significantly smaller SNRs than the background blip glitches.  We analyzed the distribution of SNR (as reported by pycbc) of the blip glitches during three time periods – segments 1, 2, and a relatively quiet period from October 5 – October 20 (segment 3).  This gave approximately 600 blip glitches for each segment.  A histogram of these is attached.
 
To determine if these distributions are statistically different, we used the Mann-Whitney U test.   Segments 2 and 3 matched, reporting a one-sided p-value of 0.18.  The distribution in SNR for segment 3 - the low glitch rate times -  did not match either segment 1 or 2, with p-values of 0.0015 and 2.0e-5, respectively.  Thus we can conclude that the distributions of 1 and 2 are statistically significantly different from 3.
 
We are currently examining the diurnal variations in the rate of these blip glitches, and will post an alog about that soon.
 
 
Paul Schale, Robert Schofield, Jordan Palamos

 

We have been studying the list of blip glitches that Miriam Cabero Müller generated for O1. We noticed that the rate of blip glitches increased dramatically during two time periods, see figure 1. We first checked if the glitch rate might be correlated with outside temperature, in case the blip glitches were produced by beam tube particulate events. The correlation with outside temperature was strong, but, for beam tube particulate, we expected it to be stronger with rate of temperature change than with temperature, and it was not. So we checked relative humidity and found that inside relative humidity was well correlated with outside temperature (and glitch rate), most likely because of the extra heating needed in cold spells.  A plot of the blip glitch rate and RH inside the CS mass storage room is attached.  
 
While the correlation with inside relative humidity is not better than with outside temperature, we plot inside relative humidity because we can better speculate on reasons for the correlation. Dry conditions may lead to the build up and discharge of static electricity on electronics cooling fans. Alternatively, there may be current leakage paths that are more likely to discharge in bursts when the pathways dry out. While this is, at best, speculation, we set up a magnetometer near the HV line for the EY ESD to monitor for possible small short fluctuations in current that are correlated with blip glitches. At the same time, we suggest that, as risk mitigation, we consider humidifying the experimental areas during cold snaps.
 
The low-humidity correlated blip glitches may represent a different population of glitches because they have statistically significantly smaller SNRs than the background blip glitches.  We analyzed the distribution of SNR (as reported by pycbc) of the blip glitches during three time periods – segments 1, 2, and a relatively quiet period from October 5 – October 20 (segment 3).  This gave approximately 600 blip glitches for each segment.  A histogram of these is attached.
 
To determine if these distributions are statistically different, we used the Mann-Whitney U test.   Segments 2 and 3 matched, reporting a one-sided p-value of 0.18.  The distribution in SNR for segment 3 - the low glitch rate times -  did not match either segment 1 or 2, with p-values of 0.0015 and 2.0e-5, respectively.  Thus we can conclude that the distributions of 1 and 2 are statistically significantly different from 3.
 
We are currently examining the diurnal variations in the rate of these blip glitches, and will post an alog about that soon.
 
 
Paul Schale, Robert Schofield, Jordan Pala
Images attached to this report
Comments related to this report
matthew.evans@LIGO.ORG - 22:06, Wednesday 20 July 2016 (28542)

This is probably something you already checked, but could it be just that there is more heating going on when the outside temperature is low? More heating would mean more energy consumption, which I guess could bother the electronics in a variety of ways that have nothing to do with humidity (magnetic fields, power glitches, vibration, acoustics in the VEAs, etc.).  Which other coupling mechanisms have you investigated?

robert.schofield@LIGO.ORG - 22:18, Wednesday 20 July 2016 (28543)

In a sense we are suggesting that the effect is due to the extra heating during the cold snaps, the humidity is just our best guess as to how the extra heating affects the electronics. We think it is unlikely to be temperature, since the temperature in the buildings changed little and did not correlate as well as humidity. Our understanding is that DetChar and others have looked carefully for, and not found, coincident events in auxiliary channels, which would argue against magnetic or power glitches from heaters. The heaters dont increase vibration or sound levels by much, the fans work continuously. The humidity, however, changed a lot.

john.zweizig@LIGO.ORG - 11:19, Thursday 21 July 2016 (28556)DAQ
Could the decrease in humidity affect the electronics cooling efficiency by changing the heat capacity of the cooling air? Is there any recorded direct measurement of the electronics heat-sink temperatures or exhaust temperature?
brian.oreilly@LIGO.ORG - 13:31, Thursday 21 July 2016 (28559)
If you want to do a similar study at L1 then one of the best periods (in terms of a fairly quick change in RH) is the period from Nov. 20th to Nov. 27th
2015. Of course RH values here in the swamps are much higher.

Where is the "blip glitch" list? I followed this link: https://wiki.ligo.org/viewauth/DetChar/GlitchClassificationStudy but there's nothing past
Sept. 23 there.
Images attached to this comment
paul.schale@LIGO.ORG - 14:08, Thursday 21 July 2016 (28560)

The list of blip glitches was emailed out by Miriam Cabero Müller.  They're store at https://www.atlas.aei.uni-hannover.de/~miriam.cabero/LSC/blips/full_O1/, and Omega scans for H1 are here: https://ldas-jobs.ligo-wa.caltech.edu/~miriam.cabero/blips/wscan_tables/  and for L1 here: https://ldas-jobs.ligo-la.caltech.edu/~miriam.cabero/blips/wscan_tables/.

paul.schale@LIGO.ORG - 16:27, Thursday 21 July 2016 (28568)

John:

Humidity has very little effect on the thermal properties of air at the relevant temperatures and humidities (20-40 degrees C, 0-20 % RH).  On pages 1104 and 1105 of this paper (http://www.ewp.rpi.edu/hartford/~roberk/IS_Climate/Impacts/Resources/calculate%20mixture%20viscosity.pdf), there are plots of specific heat capacity, viscosity, thermal conductivity, and thermal diffusivity.