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Artificial Neural Network Approach for Reconstruction of Event Arrival-Direction in Wide-Angle Atmospheric Cerenkov Detector Arrays: A Feasibility Study

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Abstract

A feasibility study has been carried out to assess the potentialof an Artificial Neural Network (ANN) for determiningthe direction of incidence of an Atmospheric Cerenkov Event(ACE) from the arrival-time information registered by aspaced-array of wide-angle Cerenkov detectors. Theresults obtained so far, using both, simulated and experimental data, indicate that a properly-trained net can yield a degree of accuracy which is comparable with what is achieved through the conventional χ2-minimization, wavefront-fitting procedure.

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Authors and Affiliations

  1. Nuclear Research Laboratory, Bhabha Atomic Research Centre, Mumbai, 400 085, India

    V. K. Dhar

  2. Nuclear Research Laboratory, Bhabha Atomic Research Centre, Mumbai, 400 085, India

    A. K. Tickoo, R. Koul & C. L. Bhat

Authors
  1. V. K. Dhar
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  2. A. K. Tickoo
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  3. R. Koul
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  4. C. L. Bhat
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Correspondence to V. K. Dhar.

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Dhar, V.K., Tickoo, A.K., Koul, R. et al. Artificial Neural Network Approach for Reconstruction of Event Arrival-Direction in Wide-Angle Atmospheric Cerenkov Detector Arrays: A Feasibility Study. Experimental Astronomy 10, 487–498 (2000). https://doi.org/10.1023/A:1008121205995

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  • DOI: https://doi.org/10.1023/A:1008121205995

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