Unbiased Monte Carlo cluster updates with autoregressive neural networks
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The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...
A technique to measure in situ the behavior of the magnetic susceptibility vs. temperature, chi(T), for a cable-in-conduit-conductor (CICC) in the SULTAN test facility has been developed. The same kind of measurements are performed for the corresponding fr ...
We present a new method for analyzing ion, or molecule, distributions around helical nucleic acids and illustrate the approach by analyzing data derived from molecular dynamics simulations. The analysis is based on the use of curvilinear helicoidal coordin ...
Planning and design of urban infrastructure systems in general and transportation systems in particular, require a multidisciplinary effort that is heavily embedded in a system-of-systems perspective. The envisioned research direction is a bottom-up approa ...
It is common for biological networks to encounter situations where agents need to decide between multiple options, such as deciding between moving towards one food source or another or between moving towards a new hive or another. In previous works, we dev ...
The connections cortical neurons forms are different in each individual human or animal. Although there are known and determined large scale connections between areas of the brain that are common across individuals, the local connectivity on smaller scales ...
There have been many studies on the spatial configuration of cities, but few attempts to quantify the difference in building patterns between the old and new parts of cities. This may be partly attributable to lack of suitable study methods. This paper pre ...
We analyze how the choice of the sampling weight affects efficiency of the Monte Carlo evaluation of classical time autocorrelation functions. Assuming uncorrelated sampling or sampling with constant correlation length, we propose a sampling weight for whi ...
Spatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infras ...
Aim To contribute to the intense debate surrounding the relative influence of climate and humans on Mediterranean-region land cover over the past 6000 years, we assess the Holocene biogeography and vegetation history of southern Europe by means of an exten ...