15 research outputs found
Large violation of Bell inequalities with low entanglement
In this paper we obtain violations of general bipartite Bell inequalities of
order with inputs, outputs and
-dimensional Hilbert spaces. Moreover, we construct explicitly, up to a
random choice of signs, all the elements involved in such violations: the
coefficients of the Bell inequalities, POVMs measurements and quantum states.
Analyzing this construction we find that, even though entanglement is necessary
to obtain violation of Bell inequalities, the Entropy of entanglement of the
underlying state is essentially irrelevant in obtaining large violation. We
also indicate why the maximally entangled state is a rather poor candidate in
producing large violations with arbitrary coefficients. However, we also show
that for Bell inequalities with positive coefficients (in particular, games)
the maximally entangled state achieves the largest violation up to a
logarithmic factor.Comment: Reference [16] added. Some typos correcte
Simulation testing the robustness of stock assessement models to error: some results from the ICES strategic initiative on stock assessment methods
The World Conference on Stock Assessment Methods (July 2013) included a workshop on testing assessment methods through simulations. The exercise was made up of two steps applied to datasets from 14 representative fish stocks from around the world. Step 1 involved applying stock assessments to datasets with varying degrees of effort dedicated to optimizing fit. Step 2 was applied to a subset of the stocks and involved characteristics of given model fits being used to generate pseudo-data with error. These pseudo-data were then provided to assessment modellers and fits to the pseudo-data provided consistency checks within (self-tests) and among (cross-tests) assessment models. Although trends in biomass were often similar across models, the scaling of absolute biomass was not consistent across models. Similar types of models tended to perform similarly (e.g. age based or production models). Self-testing and cross-testing of models are a useful diagnostic approach, and suggested that estimates in the most recent years of time-series were the least robust. Results from the simulation exercise provide a basis for guidance on future large-scale simulation experiments and demonstrate the need for strategic investments in the evaluation and development of stock assessment methods
A study of spring-and autumn-spawned herring (Clupea harengus L.) larvae in the Norwegian Coastal Current during spring 1990
Early- to late-summer population growth and prey consumption by age-0 pollock (Theragra chalcogramma), in two years of contrasting pollock abundance near the Pribilof Islands, Bering Sea
Spatial and temporal patterns in summer ichthyoplankton assemblages on the eastern Bering Sea shelf 1996-2000
Vertical migrations of herring, Clupea harengus, larvae in relation to light and prey distribution
Environmental factors affecting larval growth of Pacific saury, Cololabis saira, in the northwestern Pacific Ocean
Interannual changes in sablefish (Anoplopoma fimbria) recruitment in relation to oceanographic conditions within the California Current System
Impact of hatch date on early life growth and survival of Mueller’s pearlside ( Maurolicus muelleri
Simulation testing the robustness of stock assessment models to error: some results from the ICES strategic initiative on stock assessment methods
The World Conference on Stock Assessment Methods (July 2013) included a workshop on testing assessment methods through simula-
tions. The exercise was made up of two steps applied to datasets from 14 representative fish stocks from around the world. Step 1 involved
applyingstockassessmentstodatasetswithvaryingdegreesofeffortdedicatedtooptimizingfit.Step2wasappliedtoasubsetofthestocks
and involved characteristics of given model fits being used to generate pseudo-data with error. These pseudo-data were then provided to
assessment modellers and fits to the pseudo-data provided consistency checks within (self-tests) and among (cross-tests) assessment
models. Although trends in biomass were often similar across models, the scaling of absolute biomass was not consistent across
models. Similar types of models tended to perform similarly (e.g. age based or production models). Self-testing and cross-testing
of models are a useful diagnostic approach, and suggested that estimates in the most recent years of time-series were the least robust.
Results from the simulation exercise provide a basis for guidance on future large-scale simulation experiments and demonstrate the
need for strategic investments in the evaluation and development of stock assessment methods.JRC.G.3-Maritime affair