John [John of Greenford] (d. 1180), bishop of Chichester

Marritt, Stephen

doi:10.1093/ref:odnb/95133

Cited by 2 publications

(2 citation statements)

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“…The classification method considered in this work require the knowledge of the conditional density functions P ( x |A). Therefore, the non-parametric method of kernel superposition [41,42,43,44] is used to estimate the probability den-sity functions, from the simulated data, for the different set of mass sensitive parameters considered. Besides, the adaptive bandwidth method introduced by B. Silverman [41] is also implemented in order to obtain better estimates of the density functions.…”

Section: Methodology and Resultsmentioning

confidence: 99%

On the possibility of primary identification of individual cosmic ray showers

Supanitsky¹,

Medina‐Tanco²,

Etchegoyen³

2009

Astroparticle Physics

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The transition between the Galactic and extragalactic cosmic ray components could take place either in the region of the spectrum known as the second knee or in the ankle. There are several models of the transition but it is not possible to confirm or even rule out any of them from the flux measurement alone. Therefore, the measurement of the composition as a function of primary energy will play a fundamental role for the understanding of this phenomenon.In this work we study the possibility of primary identification in an event by event basis in the ankle region, around E = 10 18 eV. We consider as case study the enhancements of the Pierre Auger Southern Observatory, which are under construction in Malagüe, Province of Mendoza, Argentina. We use a non-parametric technique to estimate the density functions, from Monte Carlo data, corresponding to different combination of mass sensitive parameters and type of primaries. These estimates are used to obtain the classification probability of protons and iron nuclei for the different combination of parameters considered. We find that, after considering all relevant fluctuations, the maximum classification probability obtained combining surface and fluorescence detectors parameters is of order of 90%.

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Section: Methodology and Resultsmentioning

confidence: 99%

On the possibility of primary identification of individual cosmic ray showers

Supanitsky¹,

Medina‐Tanco²,

Etchegoyen³

2009

Astroparticle Physics

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show abstract

“…(1)), we need the distribution functions, f A (q), of the different parameters sensitive to the primary mass considered, including the effects of the detectors and reconstruction methods. We use the nonparametric method of kernel superposition [34,35,36,37] as an estimate of these probability density functions from the simulated data.…”

Section: Probability Density Function Estimationmentioning

confidence: 99%

A new numerical technique to determine primary cosmic ray composition in the ankle region

Supanitsky

Medina‐Tanco

Etchegoyen

2009

Astroparticle Physics

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In this paper we introduce a new multiparametric technique that attempts to tackle simultaneously the problems of composition determination and hadronic interaction uncertainty. Employing simulations of a real world detector under its planned operational conditions, and disregarding systematics, we can asses that the present technique should be able to determine the composition of a binary mixture of p and Fe with a statistical confidence of few percent, in a way that is independent of the assumed hadronic interaction model. Moreover, the combination of real data with the tools developed and presented here should give an indication of the reliability of the various hadronic interaction models in current use in the area. We center our study in the region of the ankle, where composition carries critical astrophysical information, and use two main parameters: the number of muons at 600 m from the shower axis and the depth of the shower maximum obtained from the hybrid operation of the planned muon counters and high elevation fluorescence telescopes of the AMIGA and HEAT Auger enhancements.

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John [John of Greenford] (d. 1180), bishop of Chichester

Cited by 2 publications

References 0 publications

On the possibility of primary identification of individual cosmic ray showers

On the possibility of primary identification of individual cosmic ray showers

A new numerical technique to determine primary cosmic ray composition in the ankle region

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