Methods for multidimensional event classification: a case study using images from a Cherenkov gamma-ray telescope

Böck, R.; Chilingarian, A.; Gaug, M.; Hakl, F.; Hengstebeck, T.; Jirina, Marcel; Klaschka, Jan; Kotrč, E.; Savický, Petr; Towers, S.; Vaiciulis, A.; Wittek, W.

doi:10.1016/j.nima.2003.08.157

Cited by 154 publications

(88 citation statements)

References 6 publications

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“…For the γ/hadron shower separation, the shower images were parameterized using the Hillas parameters, see Hillas et al (1985). These variables were combined for γ/hadron separation by means of a Random Forest classification algorithm, see Bock et al (2004), trained with MC simulated γ-ray events and data from galactic areas near the source under study but containing no γ-ray sources. The Random Forest method calculates for every event a parameter dubbed HADRONNESS (H), which parameterizes the purity of hadron-initiated images in the multidimensional space defined by the Hillas variables.…”

Section: Observations and Data Analysismentioning

confidence: 99%

Observation of VHE γ-rays from Cassiopeia A with the MAGIC telescope

Albert

Aliu²,

Anderhub

et al. 2007

A&A

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102

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Aims. We searched for very high energy (VHE) γ-ray emission from the supernova remnant Cassiopeia A Methods. The shell-type supernova remnant Cassiopeia A was observed with the 17 m MAGIC telescope between July 2006 and January 2007 for a total time of 47 h. Results. The source was detected above an energy of 250 GeV with a significance of 5.2σ and a photon flux above 1 TeV of (7.3 ± 0.7 stat ± 2.2 sys ) × 10 −13 cm −2 s −1 . The photon spectrum is compatible with a power law dN/dE ∝ E −Γ with a photon index Γ = 2.3 ± 0.2 stat ± 0.2 sys . The source is point-like within the angular resolution of the telescope.

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Section: Observations and Data Analysismentioning

confidence: 99%

Observation of VHE γ-rays from Cassiopeia A with the MAGIC telescope

Albert

Aliu²,

Anderhub

et al. 2007

A&A

Self Cite

102

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“…telescopes triggered in the event, leads to a greatly increased energy threshold of %600 GeV. A Random Forest [9] (see also [10]) approach was used to convert image information from the four cameras into a single parameter describing the degree to which a shower is electronlike. The primary input parameters to the Random Forest algorithm are the Hillas moments [11] of the images recorded in each telescope.…”

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confidence: 99%

Energy Spectrum of Cosmic-Ray Electrons at TeV Energies

Aharonian¹,

Akhperjanian²,

Almeida³

et al. 2008

Phys. Rev. Lett.

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“…Calculating the arithmetic mean by using weights (e.g. using the Gini index of terminal nodes) did not further improve the results [6], [7].…”

Section: Tree Growing and Random Split Selectionmentioning

confidence: 99%

“…An extensive comparison of methods applied to Monte Carlo data sets for training and test samples was given in [6]. One of the methods described there (called Direct Selection) was based on using simple AND/OR cuts in the multi-dimensional space of image parameters.…”

Section: Comparison With Direct Cuts In Image Parametersmentioning

confidence: 99%

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Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC

Albert

Aliu

Anderhub

et al. 2008

Nuclear Instruments and Methods in Physics Research Section A:

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The paper describes an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC. In such telescopes, cosmic γ-rays are observed and have to be discrimi-2 nated against a dominating background of hadronic cosmic-ray particles. We describe the application of RF for this gamma/hadron separation. The RF method often shows superior performance in comparison with traditional semi-empirical techniques. Critical issues of the method and its implementation are discussed. An application of the RF method for estimation of a continuous parameter from related variables, rather than discrete classes, is also discussed.

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Methods for multidimensional event classification: a case study using images from a Cherenkov gamma-ray telescope

Cited by 154 publications

References 6 publications

Observation of VHE γ-rays from Cassiopeia A with the MAGIC telescope

Observation of VHE γ-rays from Cassiopeia A with the MAGIC telescope

Energy Spectrum of Cosmic-Ray Electrons at TeV Energies

Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC

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