This is a short summary of the steps to be followed to access the experimental data and the compute resources available for users of the Maloja endstation.
...
...
@@ -121,7 +120,7 @@ The structure of the data depends on the channel. For instance Cameras data are
### Preprocessed data
We run a preprocessing of the CAMERAS data simultaneously to the acquisition. The raw image is always keep as `ChannelName:FPICTURE`. The preprocessing consists on loading the data, correct it with the background-dark (recorded before the acquisition) and calculate 2 projections of the image within 2 regions of interest (ROIs): one for the signal and one for a background taken from the data image, but in a region where there is no signal (do not mix with the background-dark, which is the full size of the image). A threshold can also be applied to filter the noise.
We run a preprocessing of the CAMERAS data simultaneously to the acquisition. The raw image is always keep as `ChannelName:FPICTURE`. The preprocessing consists on loading the data, correct it with the background-dark (recorded before the acquisition) and calculate 2 projections of the image within 2 regions of interest (ROIs): one for the signal and one for a background taken from the data image in a region where there is no signal (do not mix with the background-dark, which is the full size of the image). A threshold can also be applied to filter the noise.
The results of the preprocessing are stored as BSDATA:
-`ChannelName.projection_signal` contains the projection of the signal within an specified ROI (per shot) over a certain axis (typically X).
