Dear ARTS community,

I am performing strato-mesospheric ozone retrievals with the OEM implemented 
directly in ARTS (using the python interface).
As my sensor is not changing much with time, I am wondering if there is a way 
(and if this is worth in terms of computation speed) to reuse the 
sensor_response matrix (FFT channel response, unbinned) for different 
measurements which I think was quite straightforward with Qpack.

I was trying to write multiple calibrated spectra within the y vector as well 
as multiple meas. error cov. (Se and inv) blocks before running the OEM which I 
thought might be the way to go but it seems to treat them as multiple 
measurements of the same ozone profiles instead. Could somebody confirmed if 
this is expected and if yes, is there another way to do this kind of parallel 
OEM retrievals: same sensors, same atmosphere, etc.. just different 
measurements vectors using OEM from ARTS directly ?

Thanks for your help,

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