25,041 research outputs found
Unitarity Relations in c=1 Liouville Theory
We consider the S-matrix of c=1 Liouville theory with vanishing cosmological
constant. We examine some of the constraints imposed by unitarity. These
completely determine (N,2) amplitudes at tree level in terms of the (N,1)
amplitudes when the plus tachyon momenta take generic values. A surprising
feature of the matrix model results is the lack of particle creation branch
cuts in the higher genus amplitudes. In fact, we show the naive field theory
limit of Liouville theory would predict such branch cuts. However, unitarity in
the full string theory ensures that such cuts do not appear in genus one (N,1)
amplitudes. We conclude with some comments about the genus one (N,2)
amplitudes.Comment: 14 pages, 3 figures (not included), phyzz
Taking up the Slack: Lessons from a Cap-and-Trade Program in Chicago
The Emissions Reduction Market System (ERMS), an emissions-trading program for volatile organic materials (VOMs) in Chicago, Illinois, has been characterized by emissions significantly below the annual allocation of emission allowances, allowance prices much lower than predicted, limited trading, and emission allowances that expire unused. Essentially, it appears that a fundamental prerequisite for a tradable allowance program is missing—there is no scarcity of allowances. We evaluate a variety of hypotheses that may explain why the ERMS cap does not appear to be affecting abatement behavior and identify three that contributed to the lack of scarcity in the ERMS program: (1) a baseline process that inflated the cap; (2) hazardous air pollutant regulations that contributed to VOM reductions at some sources; and (3) numerous facility shutdowns. We conclude that the ERMS experience illustrates the inherent unpredictability of economic, regulatory, and other factors when setting an emissions target; a conclusion that resonates with the recent experience of the European Union Emissions Trading Scheme. This argues for gathering reliable emissions data, developing sophisticated emissions projections, and making transparent assumptions about the impacts of other policies and regulations during the program planning and design phase. However, even with all these attributes, it is still difficult to anticipate every possible outcome. Thus, it is desirable to have robust mechanisms to address the uncertainties of emissions-trading markets and to make midcourse corrections if necessary. Finally, we offer some comments on how to think about the results of ERMS versus a hypothetical command and control program that might have been designed to reach the same environmental outcome.emissions-trading, ERMS, European Union, climate change
Automated technologies needed to prevent radioactive materials from reentering the atmosphere
Project SIREN (Search, Intercept, Retrieve, Expulsion Nuclear) was created to identify and evaluate the technologies and operational strategies needed to rendezvous with and capture aerospace radioactive materials (e.g., a distressed or spent space reactor core) before such materials can reenter the terrestrial atmosphere and then to safely move these captured materials to an acceptable space destination for proper disposal. A major component of the current project SIREN effort is the development of an interactive technology model (including a computerized data base) that explores, in building-block fashion, the interaction of the technologies and procedures needed to successfully accomplish a SIREN mission. The SIREN model will include appropriate national and international technology elements--both contemporary and projected into the next century. To obtain maximum flexibility and use, the SIREN technology data base is being programmed for use on 286-class PC's. The major technical elements for a successful SIREN mission include: ground and space-based tracking, launch vehicles of needed payload capacity, telerobotic systems, sensors, capture technologies, and space transport and disposal. However, Project SIREN also will impose specialized requirements including the use of dextrous aerospace systems capable of properly functioning in intense radiation and thermal environments
Fixed parameter tractability of crossing minimization of almost-trees
We investigate exact crossing minimization for graphs that differ from trees
by a small number of additional edges, for several variants of the crossing
minimization problem. In particular, we provide fixed parameter tractable
algorithms for the 1-page book crossing number, the 2-page book crossing
number, and the minimum number of crossed edges in 1-page and 2-page book
drawings.Comment: Graph Drawing 201
HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty
The way we perceive a sound depends on many aspects-- its ecological
frequency, acoustic features, typicality, and most notably, its identified
source. In this paper, we present the HCU400: a dataset of 402 sounds ranging
from easily identifiable everyday sounds to intentionally obscured artificial
ones. It aims to lower the barrier for the study of aural phenomenology as the
largest available audio dataset to include an analysis of causal attribution.
Each sample has been annotated with crowd-sourced descriptions, as well as
familiarity, imageability, arousal, and valence ratings. We extend existing
calculations of causal uncertainty, automating and generalizing them with word
embeddings. Upon analysis we find that individuals will provide less polarized
emotion ratings as a sound's source becomes increasingly ambiguous; individual
ratings of familiarity and imageability, on the other hand, diverge as
uncertainty increases despite a clear negative trend on average
Superconductivity of disordered Dirac fermions
We study the effect of disorder on massless, spinful Dirac fermions in two
spatial dimensions with attractive interactions, and show that the combination
of disorder and attractive interactions is deadly to the Dirac semimetal phase.
First, we derive the zero temperature phase diagram of a clean Dirac fermion
system with tunable doping level ({\mu}) and attraction strength (g). We show
that it contains two phases: a superconductor and a Dirac semimetal. Then, we
show that arbitrarily weak disorder destroys the Dirac semimetal, turning it
into a superconductor. We discuss the strength of the superconductivity for
both long range and short range disorder. For long range disorder, the
superconductivity is exponentially weak in the disorder strength. For short
range disorder, a uniform mean field analysis predicts that superconductivity
should be doubly exponentially weak in the disorder strength. However, a more
careful treatment of mesoscopic fluctuations suggests that locally
superconducting puddles should form at a much higher temperature, and should
establish global phase coherence at a temperature that is only exponentially
small in weak disorder. We also discuss the effect of disorder on the quantum
critical point of the clean system, building in the effect of disorder through
a replica field theory. We show that disorder is a relevant perturbation to the
supersymmetric quantum critical point. We expect that in the presence of
attractive interactions, the flow away from the critical point ends up in the
superconducting phase, although firm conclusions cannot be drawn since the
renormalization group analysis flows to strong coupling. We argue that although
we expect the quantum critical point to get buried under a superconducting
phase, signatures of the critical point may be visible in the finite
temperature quantum critical regime.Comment: Added some discussion, particularly pertaining to proximity effec
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