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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2023-06-16 | 1.5 kB | |
| Poisson (synthetic) means 0.1 - 1000.hisdb | 2023-06-16 | 3.7 MB | |
| Simul_Poisson(CPM,CPS)_and_Normal(CPM1st, CPS1st)_with_CPS=30.logdb | 2022-04-08 | 5.1 MB | |
| Random Data, mean=20, Uniform 0...40.log.zip | 2018-04-28 | 255.0 kB | |
| WhiteNoiseNormal.zip | 2018-04-24 | 1.4 MB | |
| Mix.zip | 2018-04-24 | 212.0 kB | |
| WhiteNoisePoisson.zip | 2018-04-24 | 1.0 MB | |
| AutocorrelatedPoissonNoise.zip | 2018-04-24 | 1.2 MB | |
| SineWaves.zip | 2018-04-24 | 2.2 MB | |
| Totals: 9 Items | 15.0 MB | 0 | |
README.md:
What files to find on this site?
A selection of files in the format of GeigerLog's CSV and database files, which can be loaded and analyzed in GeigerLog to test various features of the data and of GeigerLog.
All data, however, are purely synthetic, created with Python's numpy library!
Poisson (synthetic) means 0.1 - 1000.hisdb
Some 80000 records with Poisson data with means ranging from 0.1 to 1000.
Simul_Poisson(CPM,CPS)_and_Normal(CPM1st, CPS1st)_with_CPS=30.logdb
Data created by using GeigerLog's "Simul" device. The CPS data have a Poisson distribution, the CPS1st data have a Normal disribution.
Both were created with CPS=30. The CPM data are derived from their respective CPS data.
Tip: compare Poisson tests done on each CPS / CPS1st data set!
WhiteNoisePoisson:
Data drawn from a Poisson distribution, using different mean, cycle time, and mode (CPM, CPS). This is how a perfect Geiger Counter log would look like.
WhiteNoiseNormal:
Data drawn from a Normal distribution, using different mean, but always with std.dev = SQRT(mean), as a Poisson distribution would have. This is NOT what a Geiger Counter would deliver, but with increasing mean it becomes indistinguishable from a Poisson distribution.
AutocorrelatedPoissonNoise:
Demonstrates the effect of oversampling on the FFT analysis.
RandomData:
Drawn from uniform random data from 0 ... 40
SineWaves:
A mixture of pure sine waves to test the FFT.
Mix:
A mix of synthetic data, like from White Noise and Sine wave.
