Dionysus against the Crucified: Nietzsche, Sovereignty, and the Power of Nihilism

Is international law nihilistic? Being produced from nihilism and driven by it? And are even we nihilistic – we Critical scholars who stand beyond the end of history? Not a break from the past but a continuation? That is the gambit of this thesis: to explore the nihilistic inner life of international law, through the root and stem of its creation and development, right up until the contemporary movement towards Critical approaches to the discipline. Through the embracing scope of nihilism, I argue that each of these turns and evolutions can be tracked back to a single logic. The first Volume of this thesis is dedicated to the theorisation of nihilism and how it could be existentially connected to international law. Using the philosophy of Friedrich Nietzsche, I link nihilism to what I term the ‘civilising psychosis’: a process (or sickness) by which the production of the human and the state is co-constitutive. Through this bond, it becomes possible to argue that the structures of nihilism, and the civilising psychosis, frame and condition the development of legal concepts. In Volume II, I take the civilising psychosis and apply it to the creation of the European global order of sovereign states. Here I suggest that transformations within sovereignty doctrine have been devices of managing and rearticulating the civilising psychosis. Applying literary techniques, this Volume takes the form of a ‘A play in three acts’. Within it, I follow the civilising psychosis, first, in the domestic generation of sovereignty, through to the use of sovereignty in 19th century imperialism, before bringing the civilising excesses of this latter period into confrontation with Critical scholarship. Through the violence of this encounter, I intend to begat recognition and disorientation. Rather than marking a departure from the civilising psychosis, such scholarships could be its most visceral manifestation

Organised crime and public sector corruption

Foreword: In 2006, the Australian Government introduced the Anti-money Laundering and Counter-Terrorism Financing Act 2006 (Cth) which increased regulatory controls over businesses potentially able to facilitate organised criminal activities such as money laundering. The implementation of tougher legislation and associated law enforcement interventions may result in criminal organisations adjusting their tactics in order to continue their activities without detection. In this paper, the risk and potential impact of tactical displacement by organised criminals is discussed with regard to the potential for increased attempts by organised crime groups to corrupt public servants. There is a paucity of research exploring the nature and extent of public sector corruption committed by organised crime groups. This discussion is informed by literature on ‘crime scripts’ originally developed by Cornish (1994) and the 5I’s crime prevention framework developed by Ekblom (2011). Making use of public-source information about the commission of such crimes, as exemplified in two recent corruption cases, some intervention strategies are proposed that may be effective in reducing the risks of corruption of public sector officials by organised crime groups in Australia

Measurement and Calibration of Noise Bias in Weak Lensing Galaxy Shape Estimation

Weak gravitational lensing has the potential to constrain cosmological parameters to high precision. However, as shown by the Shear TEsting Programmes (STEP) and GRavitational lEnsing Accuracy Testing (GREAT) Challenges, measuring galaxy shears is a nontrivial task: various methods introduce different systematic biases which have to be accounted for. We investigate how pixel noise on the image affects the bias on shear estimates from a Maximum-Likelihood forward model-fitting approach using a sum of co-elliptical S\'{e}rsic profiles, in complement to the theoretical approach of an an associated paper. We evaluate the bias using a simple but realistic galaxy model and find that the effects of noise alone can cause biases of order 1-10% on measured shears, which is significant for current and future lensing surveys. We evaluate a simulation-based calibration method to create a bias model as a function of galaxy properties and observing conditions. This model is then used to correct the simulated measurements. We demonstrate that this method can effectively reduce noise bias so that shear measurement reaches the level of accuracy required for estimating cosmic shear in upcoming lensing surveys.Comment: 12 pages, 4 figures, submitted to MNRA

Towards an expert system for enantioseparations: induction of rules using machine learning

A commercially available machine induction tool was used in an attempt to automate the acquisition of the knowledge needed for an expert system for enantioseparations by High Performance Liquid Chromatography using Pirkle-type chiral stationary phases (CSPs). Various rule-sets were induced that recommended particular CSP chiral selectors based on the structural features of an enantiomer pair. The results suggest that the accuracy of the optimal rule-set is 63% + or - 3% which is more than ten times greater than the accuracy that would have resulted from a random choice

A review of expert systems for chromatography

Expert systems for chromatography are reviewed. A taxonomy is proposed that allows present (and future) expert systems in this area to be classified and facilitates an understanding of their inter-relationship. All the systems are described focusing on the reasons for their development, what their purpose was and how they were to be used. The engineering methods, knowledge representations, tools and architectures used for the systems are compared and contrasted in a discussion covering all the stages of the development life cycle of expert systems. The review reveals that too often developers of expert systems for chromatography do not justify their decisions on engineering matters and that the literature suggests that many ideas advocated by knowledge engineers are not being used

Organised crime and public sector corruption: a crime scripts analysis of tactical displacement risks

Organised crime in Australia has received increased attention over the last decade, with the enactment of legislation and the development of other interventions that have sought to control this serious criminal phenomenon. Although the success of such interventions in reducing organised crime is yet to be subject to detailed evaluation, prior research has identified certain risks associated with policy responses that could, arguably, also lead to counterproductive consequences (Guerette & Bowers 2009; Smith, Wolanin & Worthington 2003). One consequence of enhanced legislation and/or law enforcement approaches developed to combat organised crime is so-called ‘tactical crime displacement’, namely that criminals may modify their tactics in order to circumvent the effects of new legislation or increased law enforcement activity, thus allowing them to continue to offend with a reduced risk of detection or criminal justice action taking place. One particular risk of tactical crime displacement is the potential for organised crime groups to focus more on forming corrupt relationships with public officials in order to obtain information that minimises the risk of detection and prosecution. This paper illustrates how organised criminal groups can alter their patterns of offending by inducing public officials into corruptly disclosing information relevant to the facilitation of further criminal activity. This process of corruption is explained using the notion of ‘crime scripts’, as developed by Cornish (1994), and applied in the context of organised crime. Following an analysis of the crime scripts used by organised criminals in relation to the corruption of public servants in selected cases in Australia, various situational crime prevention solutions based on Ekblom’s (2011) 5Is approach to crime prevention are explored as potential ways in which to minimise risks of this nature

Noise bias in weak lensing shape measurements

Weak lensing experiments are a powerful probe of cosmology through their measurement of the mass distribution of the universe. A challenge for this technique is to control systematic errors that occur when measuring the shapes of distant galaxies. In this paper we investigate noise bias, a systematic error that arises from second order noise terms in the shape measurement process. We first derive analytical expressions for the bias of general Maximum Likelihood Estimators (MLEs) in the presence of additive noise. We then find analytical expressions for a simplified toy model in which galaxies are modeled and fitted with a Gaussian with its size as a single free parameter. Even for this very simple case we find a significant effect. We also extend our analysis to a more realistic 6-parameter elliptical Gaussian model. We find that the noise bias is generically of the order of the inverse-squared signal-to-noise ratio (SNR) of the galaxies and is thus of the order of a percent for galaxies of SNR of 10, i.e. comparable to the weak lensing shear signal. This is nearly two orders of magnitude greater than the systematics requirements for future all-sky weak lensing surveys. We discuss possible ways to circumvent this effect, including a calibration method using simulations discussed in an associated paper.Comment: 8 pages, 3 figures, submitted to MNRA

On Point Spread Function modelling: towards optimal interpolation

Point Spread Function (PSF) modeling is a central part of any astronomy data analysis relying on measuring the shapes of objects. It is especially crucial for weak gravitational lensing, in order to beat down systematics and allow one to reach the full potential of weak lensing in measuring dark energy. A PSF modeling pipeline is made of two main steps: the first one is to assess its shape on stars, and the second is to interpolate it at any desired position (usually galaxies). We focus on the second part, and compare different interpolation schemes, including polynomial interpolation, radial basis functions, Delaunay triangulation and Kriging. For that purpose, we develop simulations of PSF fields, in which stars are built from a set of basis functions defined from a Principal Components Analysis of a real ground-based image. We find that Kriging gives the most reliable interpolation, significantly better than the traditionally used polynomial interpolation. We also note that although a Kriging interpolation on individual images is enough to control systematics at the level necessary for current weak lensing surveys, more elaborate techniques will have to be developed to reach future ambitious surveys' requirements.Comment: Accepted for publication in MNRA