Elena Cuoco Scientific Curriculum

I have received a secondary instruction of scientific type, giving a degree at the Liceo Scientifico "Leonardo da Vinci" of Fasano in 1986. The same year I was at University of the Studies of Pisa, following the courses of Degree in Physics.
During the thesis job ("Statistical Problems in the study of the structure on Large scale of the Universe"), I have analysed the efficiency of the algorithms commonly uses in Cosmology (function you of correlation to two, three and four points, function of probability of the empty ones, percolation test, genus, counts in cells) respect to a procedure of Sparse-Sampling in the compilation of catalogues observed you of galaxies.
To such scope I have used N-body simulations on which I have verified the robustness of the algorithms.
I have achieved the Degree in Physics 17 November 1993.
In November 1994 I started my PhD in Physics at the University of the Studies of Pisa, under the supervision of Professor Giuseppe Curci.
The first year of course I have attended advanced courses of Theoretical, Physical Physics of Particles and Physics of the Solid State. In January ' 95 I joined to the experiment of detection of Gravitational Waves VIRGO.
The argument of the Ph.D thesis deal with the preparation for the analysis of the data for such experiment.
In particular the activity of research carried out was focused on the study of the noise of the apparatus and on the optimal and sub-optimal methods of detection of gravitational signals.
In the PhD thesis I also estimated the theoretical noise curve produced by the direct coupling of the gravity gradient around the experiment mass tests and the same mass tests, the so-called Newtonian noise. For the implementation of the optimal filtering for the search of signal of known shape and unknown values for its parameters buried in the noise, it is necessary the knowledge of noise power spectral density of the detector. To such scope I have been analysed the consistency and the efficiency of the methods of spectral estimation modern and classics.
The study of the modern spectral methods, in particular parametric methods AR, MA, ARMA, has suggested the employment of adaptive techniques for the online estimation of the parameters that characterize the noise process, allowing also to obtain online the whitening for the noise process.
This operation is crucial for the implementation of the optimal filtering for the searching of gravitational signals.
I have defended my Ph. D thesis about "Identification of VIRGO noise and methods of detection gravitational signal " in date 1 July 1998, obtaining the PhD title. In 1 February 1999 me it has been conferred a Post Doc fellow at the Department of Astronomy and Science of Spazio at the University of the Studies of Florence for the activity of research of data analyses for experiment VIRGO. Such fellow was confirmed in February 2000. From 6 February 2001 I joined to the Istituto Nazionale di Fisica Nucleare section of Florence, with a temporary position as researcher. From May 2004 I joined the European Gravitational Observatory, which hosted the Virgo Experiment.
During last years I workede on the detection of GW transient-like signals buried in Noise. To such a goal a developed an algorithm base on wavelet denoising tool: Wavelet Detection Filter (WDF).

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From the 2001 I was Referee near the international review Classical and Quantum Gravity, IOP Publishing