D. Edward Mitchell 16:00, 14 April 2020 (UTC) Hello World!    groupKOS Developer Share —usually UNDER CONSTRUCTION

Space charge

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Charge Space Links

edit template One day while scripting an Arduino Debunking Hodowanec  °   Stochastic Properties of Trichel-pulse Corona:...  °   Influence of Dielectric Barrier on the Trichel-pulse  °   Measuring the stochastic properties of partial‐discharge pulses  °  

Draft —  Purple alert — Preculsions are left hanging in this developing experimental flash that happened while attempting to document other hot flashes. Your need-to-know pulls you toward The Button

Space Charge

is a term found in a 1990 NIST[1] report Stochastic Properties of Trichel-pulse Corona:... (see below).
The developer's First exposure to an Arduino began a compulsive adventure to examine the nature of the electrical noise in an open A/D converter input of the Arduino processor board. I.e., Arduino does space charge. Tune in here The Button

Arduino code-like speak

Very low frequency (VLF) components in the noise floor of an unconnected A/D Arduino pin were digitally summed into a half dozen N-recent average
channels. The 'channels' are algorithms running in the Arduino run-time loop. The elementary approach used to generate a COM port stream of data readings from the A/D pin of the Arduino board was to simply to...
  1. Read the A/D pin (a floating-point value between zero and one)
  2. Average the new reading into each of N summing variables, and compute the new averages for the last N readings, per each of N channels
  3. Encode and output each of N averages sequentially on the COM port. I.e. string concatenate a channel ID with each datum, allowing the receiving software to 'decode' the ID.
  4. Repeat
Looking at multiple channels of various low-frequency components in the noise, drawn by the script-o-meter on the computer screen, showed marked summing-amplification of low frequency components in the noise. The visual channels were created in a simple Processing Language script that received COM port data of the amplitude of each N-recent averages from the Arduino.
Especially after the room with a running N-recent-average — O — scope that had been vacant for a period,
The low registers of the Processing Language script-o-scope channels showed a ten-to-one summing-amplification above the noise-floor signal amplitudes[2] when observer #1 entered the room (me).

Ponder Trichel-pulse-train memory

The Trichel pulse is a plasma discharge that doesn't continue, for lack of energy. The aborted-arc occurs from a needle point with a negative high-voltage charge (~ 2kV). The point is perpendicular (normal) to an electrically grounded flat metal surface.
The first pulse takes a bit higher voltage to initiate than any subsequent pulse in the same test. Substantial research has established that a residual ion charge is in the air surrounding the pulse that influences subsequent pulse thresholds.
Air ions from pulses affect pulse rate. Very natural.
This test may also serve as a sensorization of air, in some more refined device, to serve as another dimension of analysis (a QAT–ish approach) in the memory-effect observed with human activity around an open A/D channel on an Arduino (Debunking Hodowanec). That effect 'disturbed' future readings, as if the effect diminished into the noise floor, from when it is first observed. The Developer was not harmed during observation of VLF from proximal human motion.

Ponder Geiger Counter recovery time-out

The Geiger Counter device, counting radiation particles, is detecting ionization of gas. The detecting gas becomes over exposed, so to speak. A recovery period is necessary.
Thinking this through again...

Preclussions Thought dAxiom / dτ = Experimental Conjecture

Damn the legal department! Full disclosure ahead!

The rational explanation seems to be that air ions will stratify air into valence strata, per se.
Normal human pipe-dream propensity entails that a 2D sensor-grid of end-points of shielded wires to an array of Arduino A/D input pins could plot data over time of the motion dynamics of the ion charge felt by each sensor point.
But, connect thousands of grid-point sensors on a 3D matrix and burn through a large grant.

Don't miss Debunking Hodowanec ...

...for the how-to of time-period-selective summing-amplification.


The Developer ain't no computer scientist.  Think boomer boy-scientist on a personal quest with an esoteric skill set.

More on Trichel pulse

Stochastic Properties of Trichel-pulse Corona: A non-Markovian random-point process

Local copy (PDF):File:Stochastic properties of Trichel-pulse.nist.gov.16796.pdf[3]
NIST server (PDF): Pub ID: 16796 [4]
  1. National Institute of Standards and Technology —https://www.nist.gov/
  2. Noise floor: open-channel A/D voltage readings over time (no connection to the input pin but a 3" hookup wire, straight up in the air).
  3. https://groupkos.com/dev/index.php?title=File:Stochastic_properties_of_Trichel-pulse.nist.gov.16796.pdf
  4. https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=16796
   The stochastic properties of negative, point-to-point, Trichel-pulse corona discharges are completely characterixed in terms of a set of measured conditional and unconditional discharge pulse-amplitude and pulse-time-separation distributions. The Trichel-pulse phenomenon is shown to be a clear example of a non-Markovian, marked random point process in which memory effects play an important role. Strong correlations are shown to exist among the amplitudes and time separations of successive discharge pulses that indicate how initiation and growth of a discharge pulse are affected by the presence of residual ion space chare and metastable species from previous pulses. The analysis required to assess consistency among the various measured probability distributions is discussed and used to interpret observed variations in distributions profiles. Because of the observed dependence of discharge pulse amplitude on both the amplitude of and time separation from the previous pulse, memory can propagate indefinitely back in time. The experimental limitations to verifying the extent of memory propagation are analyzed.

Influence of a Dielectric Barrier on the Stochastic Behaviour of Trichel-pulse Corona[1]

Publisher: IEEE
The influence of a solid polytetrafluorethylene (PTFE) dielectric barrier on the stochastic behaviour of negative (Trichel) pulse corona discharges in air is examined. This behavior is revealed from measurement of conditional and unconditional corona pulse-amplitude and pulse-time--separation distributions. The results indicate that the presence of a dielectric surface on the anode effectively reduces the electric field at the point electrode, but does not affect the occurrence of Trichel pulses, provided the point-to-plane gap spacing is greater than a critical value dc which depends on the area of the dielectric and the applied voltage. As the gap spacing approaches dc, the effect of dielectric-surface charging by the corona introduces measurable memory effects indicated by correlations between pulse amplitude and time separation from the previous pulse. For spacings less than dc, detachable corona-pulse activity is quenched by the presence of a quasi-permanent surface charge on the dielectric.

Method for measuring the stochastic properties of corona and partial‐discharge pulses[1]

Review of Scientific Instruments 60, 3012 (1989)
R. J. Van Brunt and S. V. Kulkarni
A new method is described for measuring the stochastic behavior of corona and partial‐discharge pulses which utilizes a pulse selection and sorting circuit in conjunction with a computer‐controlled multichannel analyzer to directly measure various conditional and unconditional pulse‐height and pulse‐time‐separation distributions. From these measured distributions it is possible to determine the degree of correlation between successive discharge pulses. Examples are given of results obtained from measurements on negative, point‐to‐plane (Trichel‐type) corona pulses in a N2/O2 gas mixture which clearly demonstrate that the phenomenon is inherently stochastic in the sense that development of a discharge pulse is significantly affected by the amplitude of and time separation from the preceding pulse. It is found, for example, that corona discharge pulse amplitude and time separation from an earlier pulse are not independent random variables. Discussions are given about the limitations of the method, sources of error, and data analysis procedures required to determine self‐consistency of the various measured distributions.

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