Number of past flow samples included in the convolution (the kernel support).
Kernel amplitude; scales the overall impact magnitude.
Power-law decay exponent. Larger values make the kernel decay faster.
https://screamer.readthedocs.io/en/latest/ for the Python reference and full details.
Bouchaud (2004) propagator model: price impact as a decaying-kernel convolution over past signed order flow.