Baselight

Find Gamma Particles In Magic Telescope

Predict the presence of gamma particles with the Magic Telescope observations.

@kaggle.ppb00x_find_gamma_particles_in_magic_telescope

Loading...
Loading...

About this Dataset

Find Gamma Particles In Magic Telescope

The data are MC generated to simulate registration of high energy gamma particles in a ground-based atmospheric Cherenkov gamma telescope using the imaging technique. Cherenkov gamma telescope observes high energy gamma rays, taking advantage of the radiation emitted by charged particles produced inside the electromagnetic showers initiated by the gammas, and developing in the atmosphere. This Cherenkov radiation (of visible to UV wavelengths) leaks through the atmosphere and gets recorded in the detector, allowing reconstruction of the shower parameters. The available information consists of pulses left by the incoming Cherenkov photons on the photomultiplier tubes, arranged in a plane, the camera. Depending on the energy of the primary gamma, a total of few hundreds to some 10000 Cherenkov photons get collected, in patterns (called the shower image), allowing to discriminate statistically those caused by primary gammas (signal) from the images of hadronic showers initiated by cosmic rays in the upper atmosphere (background). Typically, the image of a shower after some pre-processing is an elongated cluster. Its long axis is oriented towards the camera center if the shower axis is parallel to the telescope's optical axis, i.e. if the telescope axis is directed towards a point source. A principal component analysis is performed in the camera plane, which results in a correlation axis and defines an ellipse. If the depositions were distributed as a bivariate Gaussian, this would be an equidensity ellipse. The characteristic parameters of this ellipse (often called Hillas parameters) are among the image parameters that can be used for discrimination. The energy depositions are typically asymmetric along the major axis, and this asymmetry can also be used in discrimination. There are, in addition, further discriminating characteristics, like the extent of the cluster in the image plane, or the total sum of depositions. The data set was generated by a Monte Carlo program, Corsika, described in D. Heck et al., CORSIKA, A Monte Carlo code to simulate extensive air showers, Forschungszentrum Karlsruhe FZKA 6019 (1998). The program was run with parameters allowing to observe events with energies down to below 50 GeV. Number of Instances: 19020 Number of Attributes: 11 (including the class) Attribute information:

Tables

Gamma Particle

@kaggle.ppb00x_find_gamma_particles_in_magic_telescope.gamma_particle
  • 1.28 MB
  • 19020 rows
  • 12 columns
Loading...

CREATE TABLE gamma_particle (
  "id" BIGINT,
  "flength" DOUBLE,
  "fwidth" DOUBLE,
  "fsize" DOUBLE,
  "fconc" DOUBLE,
  "conc1" DOUBLE,
  "asym" DOUBLE,
  "m3long" DOUBLE,
  "m3trans" DOUBLE,
  "alpha" DOUBLE,
  "dist" DOUBLE,
  "class" VARCHAR
);

Share link

Anyone who has the link will be able to view this.