396 research outputs found
Parameter estimation for many-particle models from aggregate observations: A Wasserstein distance based sequential Monte Carlo sampler
In this work we study systems consisting of a group of moving particles. In
such systems, often some important parameters are unknown and have to be
estimated from observed data. Such parameter estimation problems can often be
solved via a Bayesian inference framework. However in many practical problems,
only data at the aggregate level is available and as a result the likelihood
function is not available, which poses challenge for Bayesian methods. In
particular, we consider the situation where the distributions of the particles
are observed. We propose a Wasserstein distance based sequential Monte Carlo
sampler to solve the problem: the Wasserstein distance is used to measure the
similarity between the observed and the simulated particle distributions and
the sequential Monte Carlo samplers is used to deal with the sequentially
available observations. Two real-world examples are provided to demonstrate the
performance of the proposed method
Steering of magnetotactic bacterial microrobots by focusing magnetic field for targeted pathogen killing
International audienceTargeted steering of magnetotactic bacterial microrobots is a growing tendency for their various biomedical applications. However, real-time monitoring during their movements and targeted cell killing in specific locations remains challenging. Here, we steered bacterial microrobots to target and attach to Staphylococcus aureus that was subsequently killed in a magnetic target device, which can realize guiding, mixing, and killing for targeted therapy. The generated focusing magnetic field was applied to magnetotactic bacterial microrobots, and the realizability of control strategies was analyzed. We successfully guided magnetotactic bacterial microrobots in microfluidic chips without real-time monitoring of their location. After mixing with microrobots under a rotating magnetic field for their attachment, the pathogen was killed under a swinging magnetic field. These results suggest that targeted therapy with these microrobots by using a magnetic target device is a promising approach
Antenna Design and Implementation for the Future Space Ultra-Long Wavelength Radio Telescope
In radio astronomy, the Ultra-Long Wavelengths (ULW) regime of longer than 10
m (frequencies below 30 MHz), remains the last virtually unexplored window of
the celestial electromagnetic spectrum. The strength of the science case for
extending radio astronomy into the ULW window is growing. However, the
opaqueness of the Earth's ionosphere makes ULW observations by ground-based
facilities practically impossible. Furthermore, the ULW spectrum is full of
anthropogenic radio frequency interference (RFI). The only radical solution for
both problems is in placing an ULW astronomy facility in space. We present a
concept of a key element of a space-borne ULW array facility, an antenna that
addresses radio astronomical specifications. A tripole-type antenna and
amplifier are analysed as a solution for ULW implementation. A receiver system
with a low power dissipation is discussed as well. The active antenna is
optimized to operate at the noise level defined by the celestial emission in
the frequency band 1 - 30 MHz. Field experiments with a prototype tripole
antenna enabled estimates of the system noise temperature. They indicated that
the proposed concept meets the requirements of a space-borne ULW array
facility.Comment: Submitted to Experimental Astronomy, 23 pages, 17 figure
Cross-loop propagation of a quasi-periodic extreme-ultraviolet wave train triggered by successive stretching of magnetic field structures during a solar eruption
Solar extreme-ultraviolet (EUV) waves generally refer to large-scale
disturbances propagating outward from sites of solar eruptions in EUV imaging
observations. Using the recent observations from the Atmospheric Imaging
Assembly (AIA) on board the Solar Dynamics Observatory (SDO), we report a
quasi-periodic wave train propagating outward at an average speed of 308
km s. At least five wavefronts can be clearly identified with the period
being 120 s. These wavefronts originate from the coronal loop expansion,
which propagates with an apparent speed of 95 km s, about 3 times
slower than the wave train. In the absence of a strong lateral expansion, these
observational results might be explained by the theoretical model of Chen et
al. (2002), which predicted that EUV waves may have two components: a faster
component that is a fast-mode magnetoacoustic wave or shock wave and a slower
apparent front formed as a result of successive stretching of closed magnetic
field lines. In this scenario, the wave train and the successive loop expansion
we observed likely correspond to the fast and slow components in the model,
respectively.Comment: 9 pages, 4 figure
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