Closed SimonHeybrock closed 7 months ago
Regarding item 1.):
CleanQ[SampleRun, Numerator]
and CleanQ[SampleRun, Denominator]
. These are close to the final result, but without Q-binning and normalization, but otherwise exactly what we need (and the omitted steps are very simple).
- If the monitor is not event-mode, we need to somehow split it along the time dimension. We could, e.g., assume that the monitor counts are proportional to the length of each time interval. Alternatively, one could use the relatively detector counts in each interval, which might be "safer" since it would take into account source current variations.
This monitor is positioned before all cells, i.e., the time-dependence of the transmission is irrelevant here. Everything should work as normal.
See #24 on latest ideas regarding item 1.), closing as this is no longer fully relevant.
esssans
to return time-dependent $I_{\text{sample}}(\text{spin}, t, \lambda)$ in event mode with computed $Q_x$ and $Q_y$ (per event). @SimonHeybrock @nvaytetesspolarization
a dependency ofesssans
, which would combine the polarization-analysis workflow with the SANS workflow.esspolarization
. We can therefore consider depending onesssans
in the docs ofesspolarization
(not in the package).esspolarization
.