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In this final step filtered residual strength (Fig. 1(b)) and plasma density filtered in the same way (Fig. 1 e)) are correlated around the detected events (Fig. 1(g)).
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The optimisation problem is first solved using classical sensitivity and density filtering.
To perform approximate Bayesian inference with this likelihood, we use assumed density filtering (ADF) [53].
In these situations, a neutral density filter is a must.
Neutral density filters further decreased the power of the light to the desired low-photon regime.
This allowed a detailed visualisation of hemozoin but required signal dampening using neutral density filters.
A more sumptuous and correctly exposed image can be obtained by putting a "neutral density" filter on.
The exposure varies as the circular spatially varying neutral density filter rotates.
Individually characterized neutral density filters and a low intensity power metre were used to set these photon number levels.
In this video the neutral density filter and the linear interference filter are both simultaneously in motion.
This video was captured by attaching a spatially varying neutral density filter to the camera and rotating the camera.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com