. Fatalic,

, Il convient de noter que ce comportement est hautement contre-intuitif puisqu'en général, la corrélation entre deux mesures diminue avec le temps qui les sépare. J'ai tenté trois approches qui me semblaient appropriées : (1) moyenner la différence de deuxéchantillons consécutifs, s i+1 ? s i , pour ne capter que les variations rapides (et tuer les fluctuations lentes qui posent problème) ; (2) moyenner la différence entre l'échantillon et la moyenne sur les n précédents, s i ? s n , pour avoir une estimation "locale" du piédestal et s'en affranchir ; (3) effectuer une décorrélation deséchantillons grâceà une analyse en composantes principales (PCA pour Principal Component Analysis) pour moyenner les observables décorrélées. La méthode (1) fonctionnait presque maisétait impossibleàétalonner et ne semblait pas avoir une réponse toujours linéaire. La méthode (2) ne permettait pas de détecter un signal, Les dernières tentatives. Durant les quelques jours qui ont suivi ces résultats, j'ai tout fait pour tenter de réduire ces corrélations dont l'amplitude augmente avec le temps de moyennage

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