... | ... | @@ -12,7 +12,7 @@ FD(e_k,\mu, T)=\frac{1}{\exp[\frac{e_k-\mu}{T}]+1} |
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# Testing script
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You can use the attached script [tools/high-frequency-filter.py](https://gitlab.fizyka.pw.edu.pl/wtools/w-bsk/-/blob/devel/tools/high-frequency-filter.py) to test the impact of the filtering scheme on the input signal. Below is an example output of the script.
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![high-frequency-filter](https://gitlab.fizyka.pw.edu.pl/wtools/wbsk/-/tree/public/tools/high-frequency-filter.png)
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![high-frequency-filter](https://gitlab.fizyka.pw.edu.pl/wtools/wbsk/raw/public/tools/high-frequency-filter.png)
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# Controlling the filter
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The filter can be controlled via input file:
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... | ... | @@ -25,4 +25,4 @@ hkf_T 0.01 # T parameter of the Fermi-Dirac (filtering) |
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# Benchmark
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Below we demonstrate energy conservation quality for the evolution of a nuclei $`Z=40`$ immersed in superfluid see of neutron (background density $`n=0.0086\,\text{fm}^{-3}`$) for various filters.
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![td-filtering](https://gitlab.fizyka.pw.edu.pl/wtools/wbsk/-/tree/public/tex/hkf/td-filtering.png) |
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\ No newline at end of file |
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![td-filtering](https://gitlab.fizyka.pw.edu.pl/wtools/wbsk/raw/public/tex/hkf/td-filtering.png) |
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