3 resultados para local crime survey

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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The main task of this research is to investigate the situation of drugs in the city of Bologna. A first discussion pertains the method to adopt studying an ethical question as drug actually is. In fact it is widely known that drugs problem involves many political and religious considerations which are misleading in a scientific point of view. After a methodological chapter supposed to show the purpose of this research, it is discussed a logical definition of drugs. There it is examined an aristotelian definition of drugs with semantic instruments from philosophy of the language to fulfil meaning of terms. The following chapter discusses personal stories of different people involved in drug in the city, who actually represent the main characters of drug subculture. Afterwards the official statistics concerning drug enforcement is discussed and compared with a specific police action which allows to criticize that data, and to make some hypothesis about drug quantities circulating in town. Next step is investigating drugs addicted in town, with a validation technique of data base queries. The result is a statistics of users in which there is evidence of main presence of foreigners and not resident Italians who use to practice drugs in this city. Demographic analysis of identified people shows that drug addiction is widely diffused among all range of age and mainly pertains males, with an increasing trend. Then is examined the geographic distribution of users residence and use places, showing that drugs abuse is spread among all classes of population, while drugs squares are located in some points of town which realise a kind of drug area with a concentration of dealers not organised together. With some detailed queries in police reports statistics is studied some specific subject on nowadays drug abuse, the phenomenon of multi-use, the relation between drug and crime, the relation between drug and mental disease, recording some evidence in such topics. Finally a survey on city media along last two years shows the interest about this topic and gives an idea of public opinion’s information about drugs. The study refers to the city of Bologna only, and pertains data recorded along last ten years by the local metropolitan police corp.

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The purpose of this Thesis is to develop a robust and powerful method to classify galaxies from large surveys, in order to establish and confirm the connections between the principal observational parameters of the galaxies (spectral features, colours, morphological indices), and help unveil the evolution of these parameters from $z \sim 1$ to the local Universe. Within the framework of zCOSMOS-bright survey, and making use of its large database of objects ($\sim 10\,000$ galaxies in the redshift range $0 < z \lesssim 1.2$) and its great reliability in redshift and spectral properties determinations, first we adopt and extend the \emph{classification cube method}, as developed by Mignoli et al. (2009), to exploit the bimodal properties of galaxies (spectral, photometric and morphologic) separately, and then combining together these three subclassifications. We use this classification method as a test for a newly devised statistical classification, based on Principal Component Analysis and Unsupervised Fuzzy Partition clustering method (PCA+UFP), which is able to define the galaxy population exploiting their natural global bimodality, considering simultaneously up to 8 different properties. The PCA+UFP analysis is a very powerful and robust tool to probe the nature and the evolution of galaxies in a survey. It allows to define with less uncertainties the classification of galaxies, adding the flexibility to be adapted to different parameters: being a fuzzy classification it avoids the problems due to a hard classification, such as the classification cube presented in the first part of the article. The PCA+UFP method can be easily applied to different datasets: it does not rely on the nature of the data and for this reason it can be successfully employed with others observables (magnitudes, colours) or derived properties (masses, luminosities, SFRs, etc.). The agreement between the two classification cluster definitions is very high. ``Early'' and ``late'' type galaxies are well defined by the spectral, photometric and morphological properties, both considering them in a separate way and then combining the classifications (classification cube) and treating them as a whole (PCA+UFP cluster analysis). Differences arise in the definition of outliers: the classification cube is much more sensitive to single measurement errors or misclassifications in one property than the PCA+UFP cluster analysis, in which errors are ``averaged out'' during the process. This method allowed us to behold the \emph{downsizing} effect taking place in the PC spaces: the migration between the blue cloud towards the red clump happens at higher redshifts for galaxies of larger mass. The determination of $M_{\mathrm{cross}}$ the transition mass is in significant agreement with others values in literature.

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In this work I present the first measurements of the galaxy stellar mass function (GSMF) from the first public release of the VIPERS catalogue, containing ∼55,000 objects. First, I present the survey design, its scientific goal, the redshift measurements and validation. Then, I provide details about the estimate of galaxy stellar masses, star formation rates, and other physical quantities. I derive the GSMF of different galaxy types (e.g. active and passive galaxies) and as a function of the environment (defined through the local galaxy density contrast). These estimates represent new observational evidence useful to characterise the mechanism of galaxy evolution.