Citation Policy

Citation Policy


To stress the importance of proper reference and citation use in scientific publications dealing with, or using the Multivariate Nonparametric Methods developed in the Cosmic Ray Division of Yerevan Physics Institute (copyright holder, hereafter the CRD) and implemented in ANI Software package (hereafter the Software), to emphasise the derivative nature of the new physical resulsts obtained with the use of the Software, to continue our open data policy as it is stated in our Copyright Notice, to avoid possible misunderstanding that might emerge during the use and modification of Software and its source code, and to prevent possible copyright infringement claims CRD might file in case of improper citing (or the lack of due credit to the authors of Software protected by Copyright) we present this our Citation Policy document.

Document lists the topics and associated references that should be cited as the original sources of the research methodology when the Software use is incorporated in the research, and the data is obtained with the use of Software.


  1. Unified methodology of statistical inference, based on nonparametric models, in which var-ious statistical approaches (density estimation, Bayesian decision making, error rate estima-tion, feature extraction, sample control during handling, unfolding, evolutionary computa-tion, neural network models, etc...) are coherently used for data analysis in Astroparticle physics experiments.
    References [22, 2, 5, 3].
  2. Median method of Multivariate Probability Density Estimation and Bayes Risk estimation.
    Reference [11, 3].
  3. Method of Fractal Dimensionality determination of structures embedded in Multidimensional Metric Spaces. Dimensionality Analysis of Multiparicle Production.
    Reference [21, 6].
  4. Event-by-Event analysis of the X-ray experiment data. Determination of the Upper Boundary of the Iron Nuclei Abundance in Primary Flux, based on the Individual Event Treatment of PAMIR collaboration gamma-hadron families data base.
    References [15, 23, 17, 16, 24]
  5. Event-By-Event Analysis of the Extensive Air Showers (EAS). Estimation the Primary Type and Primary Energy for each Individual Shower.
    Reference [20]
  6. Bootstrap Method of the Estimation of the Methodical Errors of the Primary Type and Pri-mary Energy Estimation. Unfolding of Primary Cosmic Ray Mass Abundance.
    Reference [18]
  7. Selection of the Pure Beams of the Cosmic Ray Nucleus, by EAS data treatment. Tuning of the Strong Interaction Phenomenological Parameters from the Pool of Alternative Models realizations.
    Reference [19]
  8. Multivariate analysis of the Cherenkov Images of Air Showers.
    References [1, 12, 4]
  9. Neural Analysis of data from Imaging Air Cherenkov Telescope. Obtaining of record value of background suppression for Whipple Imaging telescope Crab Nebula detection (1988-1989 data).
    References [7, 9]
  10. New stochastic algorithms for Neural Network Training.
    Reference [4, 8]
  11. Multidimensional Non-linear Signal Domain Selection with Special Type of Quality Func-tion in Neural Network Training.
    Reference [13, 9, 14]
  12. ANI Code
    References [3, 10]



  1. Aharonyan F. A., Chilingarian A. A., Plyasheshnikov A. K., Konopelko A. K., A Multidi-mensional analysis of the Cherenkov images of Air Showers induced by Very High Energy gamma-rays and protons, NIM, A 302, 522, 1991.
  2. Chilingarian A. A., The development of of Statistical Methods in Cosmic Ray Physics, in Proc. 18 ICRC, vol. 5, p. 524, Bangalore, 1983.
  3. Chilingarian A. A., Statistical Decisions under Nonparametric a priori information, Computer Physics Comunication, 54, 381, 1989.
  4. Chilingarian A. A., Neural Net Classification of the gamma and proton images registered with Atmospheric Cherenkov Technique, Random Search Learning in Feed-Forward Networks, in Proc. 22 ICRC, vol. 1, p. 540, Dublin, 1991.
  5. Chilingarian A. A., Statistical Inference in Cosmic Ray Physics, combined analysis of simu-lated and experimental data, in Proc. 22 ICRC, vol. 3, p. 34, Dublin, 1991.
  6. Chilingarian A. A., Dimensionality analysis of Multiple Production at High Energies, Computer Physics Comunication, 69, 347, 1992.
  7. Chilingarian A. A., On the methods of the enhancement of the reliability of the signal detection with Cherenkov Atmospheric techniques, in Izv. AN USSR, Phys., vol. 57, p. 186, 1993, (russian).
  8. Chilingarian A. A., Neural classification technique for background rejection in high energy physics experiments, Neorocomputing, 6, 497, 1994.
  9. Chilingarian A. A., Detection of weak signals against background using Neural Network Classifiers, Pattern Recognition Letters, 16, 333, 1995.
  10. Chilingarian A. A., Analysis and Nonparametric Inference in High Energy Physics and Astroparticle Physics, 1998, program Package ANI, (Users Manual, unpublished)
  11. Chilingarian A. A. and Galfayan S. Kh., Calculation of Bayes Risk by KNN method, Stat. Problems of Control, 66, 66, 1984, Vilnius.
  12. Chilingarian A. A., Cawley M. F., Application of Multivariate Analysis to Atmospheric Cherenkov Imaging Data from the Crab Nebula, in Proc. 22 ICRC, vol. 1, p. 460, Dublin, 1991.
  13. Chilingarian A. A., Cawley M. F., Optimizing the Non-Linear gamma-ray Domain in VHE gamma-ray Astronomy using Neural-Network Classifier, in Proc. 24 ICRC, vol. 3, p. 742, Rome, 1994
  14. Chilingarian A. A., Chilingarian S.A., Sevinyan E.V, The non-linear Signal Domain selection using a new Quality Function in Neural Net training, Nuclear Instruments and Methods, A 389, 242, 1997.
  15. Chilingarian A. A., Dunaevski A.M., Galfayan S.Kh., Zazyan M.Z.,et al , Multivariate analy-sis of Roentgen-Emulsion chamber data, in Proc. 19 ICRC, vol. 5, p. 392, San-Diego, 1985.
  16. Chilingarian A. A., Galfayan S.Kh.,Dunaevski A.M., Zazyan al , The new method of gamma-families analysis, in Proc. 20 ICRC, vol. 5, p. 312, Moscow, 1987
  17. Chilingarian A. A., Galfayan S.Kh.,Dunaevski A.M., Zazyan al , The upper boundary of of iron nuclei fraction in PCR obtained from PAMIR data, in Proc. 20 ICRC, vol. 1, p. 386, Moscow, 1987.
  18. Chilingarian A. A., Zazyan H. Z., A Bootstrap method of Distribution Mixture proportion determination, Pattern Recognition Letters, 11, 781, 1990.
  19. Chilingarian A. A., Zazyan H. Z., Experiments with Particle Bundles in Cosmic Ray Physics. Determination of Strong Interaction Parameters by a Pattern Recognition Method, J. of Nuclear Phys., 54, 128, 1991.
  20. Chilingarian A. A., Zazyan H. Z., On the possibility of investigation of the Mass CompoBsition and Energy Spectra of PCR in the energy range 1015-1017 eV using EAS data, IL Nuovo Cimento, 14C(6), 555, 1991.
  21. Chilingarian A. A.,Harutunyan S.Kh. , On the possibility for a Multidimensional Kinematic Information Analysis by means of Nearest-Neighbor estimation of Dimensionality, NIM, 281, 388, 1989.
  22. Chilingarian A.A., The review of Data Analysis Methods for ANI experiment, Voprosi Atomnoj NAuki i Tekhniki, ser. tech. fiz. exp., 2(8), 59, 1981.
  23. Galfayan S.Kh., Chilingarian A.A., Dunaevski A.M., Zazyan M.Z., et al, Multi-ple comparisons of EAS and Roentgen-Emulsion Chamber Data with simulations, Izv. AN.USSR., ser. fiz. , 50, 2146, 1986.
  24. Chilingarian A. A., Konopelko A.K., Plyasheshnikov A. V., New Algorithms for gamma-Quanta Energy Estimation by VHE gamma-ray telescopes with the Cherenkov Light Imaging Facilities, in Proc. 22 ICRC, vol. 1, p. 480, Dublin, 1991.
  25. Chilingarian A. A., Konopelko A.K., Plyasheshnikov A. V., New Algorithms for gamma-Quanta Energy Estimation by VHE gamma-ray telescopes with the Cherenkov Light Imaging Facilities, in Proc. 22 ICRC, vol. 1, p. 480, Dublin, 1991.
  26.  Chilingarian A. A., Analysis of the methodic of data interpretation in applications for ANI experiment, (Boproci atomnoi nauki i techniki, cepia: technika fiz. exp, 1981, vip. 2(8), 1-94)(russian)
  27. Chilingaryan A. A., Vardanyan A., Neural Networks as Tool for Event-by-Event Analysis in Astroparticle Physics, in Proc. 2 Irano-ArmenianWorkshop on Neural Networks, p. 67, Tehran, 1999.
  28. Chilingaryan A. A., Vardanyan A., Gemmeke H., Eppler W., Fischer T., The Current Status of Linux Driver of MiND PCI board and Results of Performance Tests of SAND/1 Neuro-Chip, in Proc. 2 Irano-ArmenianWorkshop on Neural Networks, p. 107, Tehran, 1999.
  29. Chilingaryan A. A., Vardanyan A., Stopping Rules and Estimation of the Generalization Error In Neural Classification to Multiple Categories, in Proc. 2 Irano-Armenian Workshop on Neural Networks, p. 121, Tehran, 1999.
  30. Chilingaryan A. A., Vardanyan A., Committee of Networks, in Proc. 2 Irano-ArmenianWorkshop on Neural Networks, p. 89, Tehran, 1999.
  31. Chilingaryan A. A., Konopelko A. K., Plyasheshnikov A. V., A non-parametric method of estimation of the energy of gamma-quanta from point sources registered by means of Cherenkov telescopes, Preprint Yerphi-1308(3)-91
  32. Chilingaryan A. A., Khudonyan N.O., Saakyan D.B., Zazyan G.Z., Recognition Of Correlated Patterns With Spin Glass-Like Models, Preprint Yerphi-992(42)-87