We provide theoretical and experimental evidence of statistical outliers in random laser emission that are not accounted for by the, now established, power-law tailed (Lévy) distribution. Such outliers manifest themselves as single, large isolated spikes over an otherwise smooth background. A statistical test convincingly shows that their probability is larger than the one extrapolated from lower-intensity events. To compare with experimental data, we introduced the anomaly parameter that allows for an identification of such rare events from experimental spectral measurements and that agrees as well with the simulations of our Monte Carlo model. A possible interpretation in terms of Black Swans or Dragon Kings, large events having a different generation mechanism from their peers, is discussed.

Statistical outliers in random laser emission / Federico Tommasi, Lorenzo Fini,Emilio Ignesti,Stefano Lepri, Fabrizio Martelli,Stefano Cavalieri. - In: PHYSICAL REVIEW A. - ISSN 2469-9926. - STAMPA. - (2018), pp. 0-0. [10.1103/PhysRevA.98.053816]

Statistical outliers in random laser emission

Federico Tommasi
;
Lorenzo Fini;Emilio Ignesti;Stefano Lepri;Fabrizio Martelli;Stefano Cavalieri
2018

Abstract

We provide theoretical and experimental evidence of statistical outliers in random laser emission that are not accounted for by the, now established, power-law tailed (Lévy) distribution. Such outliers manifest themselves as single, large isolated spikes over an otherwise smooth background. A statistical test convincingly shows that their probability is larger than the one extrapolated from lower-intensity events. To compare with experimental data, we introduced the anomaly parameter that allows for an identification of such rare events from experimental spectral measurements and that agrees as well with the simulations of our Monte Carlo model. A possible interpretation in terms of Black Swans or Dragon Kings, large events having a different generation mechanism from their peers, is discussed.
2018
0
0
Federico Tommasi, Lorenzo Fini,Emilio Ignesti,Stefano Lepri, Fabrizio Martelli,Stefano Cavalieri
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1140181
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