Alternative Experimental Protocol for a PBR-Like Result

Pusey, Barrett and Rudolph (PBR) have recently proven an important new theorem in the foundations of quantum mechanics. Here we propose alternative experimental protocols which lead to the PBR result for a special case and a weaker PBR-like result generally. Alternative experimental protocols support the assumption of measurement independence required for the PBR theorem.Comment: 4 pages, 1 figur

Linear Collider Physics

Studies of the physics potential of the Future Linear Collider are establishing a broad programme which will start in the region of 350 to 500 GeV C. of M. energy. The main goal is to understand why the standard model works; by studying the properties of the Higgs sector, if it is within reach, and by exploring the complex world of Supersymmetry, if it is real. If the Higgs boson is not found soon, then the Linear Collider can test the standard model with high precision measurements, both at energies approaching 1 TeV and with high statistics at the Z0.Comment: 12 pages, 4 figures, to be published in Proceedings of La Thuile 200

Two Photon Physics at LEP2; including data Monte-Carlo comparison

A partisan review of some of the most important $\gamma\gamma$ channels accessible at LEP 2, with special stress on the measurement of the photon structure function $F_{2}^{\gamma}$ and on associated problems with Monte Carlo modelling.Comment: 7 pages including 5 figures. Invited talk given at the LEP2 Phenomenology Workshop, Oxford, U.K., 14 April 199

Measuring Fine Tuning In Supersymmetry

The solution to fine tuning is one of the principal motivations for supersymmetry. However constraints on the parameter space of the Minimal Supersymmetric Standard Model (MSSM) suggest it may also require fine tuning (although to a much lesser extent). To compare this tuning with different extensions of the Standard Model (including other supersymmetric models) it is essential that we have a reliable, quantitative measure of tuning. We review the measures of tuning used in the literature and propose an alternative measure. We apply this measure to several toy models and the MSSM with some intriguing results.Comment: Submitted for the SUSY07 proceeding

The Pythagorean Won-Loss Formula and Hockey: A Statistical Justification for Using the Classic Baseball Formula as an Evaluative Tool in Hockey

Originally devised for baseball, the Pythagorean Won-Loss formula estimates the percentage of games a team should have won at a particular point in a season. For decades, this formula had no mathematical justification. In 2006, Steven Miller provided a statistical derivation by making some heuristic assumptions about the distributions of runs scored and allowed by baseball teams. We make a similar set of assumptions about hockey teams and show that the formula is just as applicable to hockey as it is to baseball. We hope that this work spurs research in the use of the Pythagorean Won-Loss formula as an evaluative tool for sports outside baseball.Comment: 21 pages, 4 figures; Forthcoming in The Hockey Research Journal: A Publication of the Society for International Hockey Research, 2012/1