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

By J.Albert, et al. 2007

230 citations recorded by the source corpus.

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 gamma-rays are observed and have to be discriminated 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.

Subfields: Artificial Intelligence, Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/affead00ceb7093f4c24d2d99c55a91147038e32

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Francisco Prada
2. D. Physics
3. Julia Thaele
4. Victor Stamatescu

In Astronomy and Astrophysics

1. F. Tavecchio
2. L. Maraschi
3. G. Bonnoli
4. A. Dom'inguez
5. D. Mazin
6. U. Amsterdam
7. Astronomy
8. D. O. Astronomy

In Nuclear and High Energy Physics

1. F. Tavecchio
2. L. Maraschi
3. G. Bonnoli
4. A. Dom'inguez
5. D. Mazin
6. D. O. Astronomy
7. U. Padova
8. W. Rhode

Citations in the corpus

• MARS, the MAGIC Analysis and Reconstruction Software (2009, methodology): “The standard procedure in MARS to suppress the unwanted background showers produced by charged cosmic rays makes use of a multivariate classification method known as Random Forest (RF) [8].”
• Optimized dark matter searches in deep observations of Segue 1 with MAGIC (2013, methodology): “Furthermore, for every event, we calculate the angular distance θ between the reconstructed arrival direction and the ON (or OFF) center position, as well as the signal-to-noise maximization variable hadronness (h) by means of the Random Forest method [34], and select events with θ(2) < θ(2) cut and”
• The major upgrade of the MAGIC telescopes, Part I: The hardware improvements and the commissioning of the system (2014, unknown): “In Part II (Aleksić et al. 2014) we describe the physics performance of the upgraded system.”