Name: (Gamma-ray Spectroscopy) Distribution Dataset V1
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

(Gamma-ray Spectroscopy) Distribution Dataset V1

This data set is similar to gamma-ray spectroscopy data and is designed for machine-learning data analysis.
This dataset is generated by computer.

Scientific Information about Dataset

In gamma-ray spectroscopy, data is generated by capturing the number of emissions within a specific channel range of the radiation emitted by the sample. In scientific data, the sample produces photopeaks exhibiting a Gaussian distribution when statistically examined. A Gaussian distribution (Normal distribution) is a probability distribution dependent on three parameters.

x0 : Standard deviation
σ (sigma)∶ Width of the Gaussian Distribution
N : Number of the occurrences of the event

for more information: https://en.wikipedia.org/wiki/Normal_distribution

In Gamma Ray Spectroscopy

x0 = Photopeak location
σ (sigma) ∝ Detector resolution
N ∝ Activity of the sample

Co-60 Gamma-ray Spectroscopy Example

Dataset Content

cha_ : Number of radiations captured by the channel from 0 to 2000 with 10 intervals

cha_5 : Number of radiations captured by the channel between 0-10
cha_15: Number of radiations captured by the channel between 10-20
cha_25: Number of radiations captured by the channel between 20-30
.
.
.
cha_n: Number of radiations captured by the channel between (n-5)-(n+5)
x0 : Standard deviation of the Gaussian Distribution
sigma : Width of the Gaussian Distribution
N: Number of the emission in the Gaussian Distribution range

Tables

Com Gen Gaussdiswithnoise

@kaggle.zgnbyktanr_gamma_ray_spectroscopy_gaussdis_with_noise_1.com_gen_gaussdiswithnoise

577.06 kB
500 rows
204 columns

CREATE TABLE com_gen_gaussdiswithnoise (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "cha_5" DOUBLE,
  "cha_15" DOUBLE,
  "cha_25" DOUBLE,
  "cha_35" DOUBLE,
  "cha_45" DOUBLE,
  "cha_55" DOUBLE,
  "cha_65" DOUBLE,
  "cha_75" DOUBLE,
  "cha_85" DOUBLE,
  "cha_95" DOUBLE,
  "cha_105" DOUBLE,
  "cha_115" DOUBLE,
  "cha_125" DOUBLE,
  "cha_135" DOUBLE,
  "cha_145" DOUBLE,
  "cha_155" DOUBLE,
  "cha_165" DOUBLE,
  "cha_175" DOUBLE,
  "cha_185" DOUBLE,
  "cha_195" DOUBLE,
  "cha_205" DOUBLE,
  "cha_215" DOUBLE,
  "cha_225" DOUBLE,
  "cha_235" DOUBLE,
  "cha_245" DOUBLE,
  "cha_255" DOUBLE,
  "cha_265" DOUBLE,
  "cha_275" DOUBLE,
  "cha_285" DOUBLE,
  "cha_295" DOUBLE,
  "cha_305" DOUBLE,
  "cha_315" DOUBLE,
  "cha_325" DOUBLE,
  "cha_335" DOUBLE,
  "cha_345" DOUBLE,
  "cha_355" DOUBLE,
  "cha_365" DOUBLE,
  "cha_375" DOUBLE,
  "cha_385" DOUBLE,
  "cha_395" DOUBLE,
  "cha_405" DOUBLE,
  "cha_415" DOUBLE,
  "cha_425" DOUBLE,
  "cha_435" DOUBLE,
  "cha_445" DOUBLE,
  "cha_455" DOUBLE,
  "cha_465" DOUBLE,
  "cha_475" DOUBLE,
  "cha_485" DOUBLE,
  "cha_495" DOUBLE,
  "cha_505" DOUBLE,
  "cha_515" DOUBLE,
  "cha_525" DOUBLE,
  "cha_535" DOUBLE,
  "cha_545" DOUBLE,
  "cha_555" DOUBLE,
  "cha_565" DOUBLE,
  "cha_575" DOUBLE,
  "cha_585" DOUBLE,
  "cha_595" DOUBLE,
  "cha_605" DOUBLE,
  "cha_615" DOUBLE,
  "cha_625" DOUBLE,
  "cha_635" DOUBLE,
  "cha_645" DOUBLE,
  "cha_655" DOUBLE,
  "cha_665" DOUBLE,
  "cha_675" DOUBLE,
  "cha_685" DOUBLE,
  "cha_695" DOUBLE,
  "cha_705" DOUBLE,
  "cha_715" DOUBLE,
  "cha_725" DOUBLE,
  "cha_735" DOUBLE,
  "cha_745" DOUBLE,
  "cha_755" DOUBLE,
  "cha_765" DOUBLE,
  "cha_775" DOUBLE,
  "cha_785" DOUBLE,
  "cha_795" DOUBLE,
  "cha_805" DOUBLE,
  "cha_815" DOUBLE,
  "cha_825" DOUBLE,
  "cha_835" DOUBLE,
  "cha_845" DOUBLE,
  "cha_855" DOUBLE,
  "cha_865" DOUBLE,
  "cha_875" DOUBLE,
  "cha_885" DOUBLE,
  "cha_895" DOUBLE,
  "cha_905" DOUBLE,
  "cha_915" DOUBLE,
  "cha_925" DOUBLE,
  "cha_935" DOUBLE,
  "cha_945" DOUBLE,
  "cha_955" DOUBLE,
  "cha_965" DOUBLE,
  "cha_975" DOUBLE,
  "cha_985" DOUBLE
);