The basic components of storage are:
More examples are provided for representations of specific datasets.
1 2 3 4 5 6 7 | SASroot
SASentry
SASdata
@Q_indices=0
@I_axes="Q"
I: float[100]
Q: float[100]
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1 2 3 4 5 6 7 8 9 | SASroot
SASentry
SASdata
@Q_indices=0,1
@I_axes="Q,Q"
I: float[100, 512]
Qx: float[100, 512]
Qy: float[100, 512]
Qx: float[100, 512]
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1 2 3 4 5 6 7 8 9 | SASroot
SASentry
SASdata
@Q_indices=0,1
@I_axes="Q,Q"
I: float[300, 300]
@uncertainty=Idev
Q: float[300, 300]
Idev: float[300, 300]
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | SASroot
SASentry
SASdata
@name="sasdata"
@Q_indices=0,1
@I_axes="Q,Q"
I: float[100, 512]
Qx: float[100, 512]
Qy: float[100, 512]
Qz: float[100, 512]
SASdata
@name="wasdata"
@Q_indices=0,1
@I_axes="Q,Q"
I: float[256, 256]
Qx: float[256, 256]
Qy: float[256, 256]
Qz: float[256, 256]
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1 2 3 4 5 6 7 8 9 10 11 | SASroot
SASentry
SASdata
@Q_indices=0,1
@I_axes="Q,Q"
@Mask_indices=0,1
I: float[100, 512]
Qx: float[100, 512]
Qy: float[100, 512]
Qz: float[100, 512]
Mask: int[100, 512]
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1 2 3 4 5 6 7 8 9 | SASroot
SASentry
SASdata
@Q_indices=0
@I_axes="Q"
I: float[100*512]
Qx: float[100*512]
Qy: float[100*512]
Qz: float[100*512]
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | SASroot
SASentry
SASdata
@name="sans"
@Q_indices=0
@I_axes="Q"
I: float[100*512]
Qx: float[100*512]
Qy: float[100*512]
Qz: float[100*512]
SASdata
@name="saxs"
@Q_indices=0
@I_axes="Q"
I: float[256*256]
Qx: float[256*256]
Qy: float[256*256]
Qz: float[256*256]
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1 2 3 4 5 6 7 8 9 | SASroot
SASentry
SASdata
@Q_indices=0
@I_axes="Q"
I: float[100*512 + 2000 + 256*256 - nDiscardedPixels]
Qx: float[100*512 + 2000 + 256*256 - nDiscardedPixels]
Qy: float[100*512 + 2000 + 256*256 - nDiscardedPixels]
Qz: float[100*512 + 2000 + 256*256 - nDiscardedPixels]
|
1 2 3 4 5 6 7 8 | SASroot
SASentry
SASdata
@Q_indices=1
@I_axes="Time,Q"
I: float[nTime,100]
Q: float[100]
Time: float[nTime]
|
1 2 3 4 5 6 7 8 | SASroot
SASentry
SASdata
@Q_indices=0,1
@I_axes="Time,Q"
I: float[nTime,100]
Q: float[nTime,100]
Time: float[nTime]
|
1 2 3 4 5 6 7 8 9 10 | SASroot
SASentry
SASdata
@Q_indices=0,1
@I_axes="Time,Q"
I: float[nTime,100]
@uncertainty=Idev
Idev: float[nTime,100]
Q: float[nTime,100]
Time: float[nTime]
|
1 2 3 4 5 6 7 8 9 10 | SASroot
SASentry
SASdata
@Q_indices=1
@I_axes="Time,Q"
I: float[nTime,100*512]
Qx: float[100*512]
Qy: float[100*512]
Qz: float[100*512]
Time: float[nTime]
|
1 2 3 4 5 6 7 8 9 10 | SASroot
SASentry
SASdata
@Q_indices=0,1
@I_axes="Time,Q"
I: float[nTime,100*512]
Qx: float[nTime,100*512]
Qy: float[nTime,100*512]
Qz: float[nTime,100*512]
Time: float[nTime]
|
1 2 3 4 5 6 7 8 9 10 11 12 | SASroot
SASentry
SASdata
@Q_indices=0,1,2
@I_axes="Time,Q,Q"
@Mask_indices=1,2
I: float[nTime,100,512]
Qx: float[nTime,100,512]
Qy: float[nTime,100,512]
Qz: float[nTime,100,512]
Time: float[nTime]
Mask: int[100,512]
|
1 2 3 4 5 6 7 8 9 10 11 12 | SASroot
SASentry
SASdata
@Q_indices=0,1,2,3
@I_axes="Time,Temperature,Pressure,Q"
I: float[nTime,nTemperature,nPressure,100*512]
Qx: float[nTime,nTemperature,nPressure,100*512]
Qy: float[nTime,nTemperature,nPressure,100*512]
Qz: float[nTime,nTemperature,nPressure,100*512]
Time: float[nTime]
T: float[nTemperature]
P: float[nPressure]
|
1 2 3 4 5 6 7 8 9 10 11 12 | SASroot
SASentry
SASdata
@Q_indices=1,3,4
@I_axes="Temperature,Time,Pressure,Q,Q"
I: float[nTemperature,nTime,nPressure,100,512]
Qx: float[nTime,100,512]
Qy: float[nTime,100,512]
Qz: float[nTime,100,512]
Time: float[nTime]
Temperature: float[nTemperature]
Pressure: float[nPressure]
|
It is possible to represent the components that contribute to the uncertainty by use of a subgroup. Add a @components attribute to the principal uncertainty, naming the subgroup that contains the contributing datasets.
As with all uncertainties, each component should have the same shape (rank and dimensions) as its parent dataset.
Note that a @basis attribute indicates how this uncertainty was determined. The values are expected to be a short list, as yet unspecified.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | SASroot
SASentry
SASdata
@Q_indices=0
@I_axes=Q
Q : float[nI]
I : float[nI]
@uncertainty=Idev
Idev : float[nI]
@components=I_uncertainties
I_uncertainties:
electronic : float[nI]
@basis="Johnson noise"
counting_statistics: float[nI]
@basis="shot noise"
secondary_standard: float[nI]
@basis="esd"
|
Note
This is just a proposition. It is based on the assumption that some analysis method might actually know how to handle this case.
If more than one uncertainty contributes to the intensity (and the method described above in Representing Uncertainty Components is not appropriate), it is proposed to name more than one uncertainty dataset in the @uncertainty attribute. The first member in this list would be the principal uncertainty. The @basis attribute can be used to further describe each uncertainty. One example be:
1 2 3 4 5 6 7 8 9 10 11 12 | SASroot
SASentry
SASdata
@Q_indices=0
@I_axes=Q
Q : float[nI]
I : float[nI]
@uncertainty=Idev,Ierr
Idev : float[nI]
@basis="esd"
Ierr : float[nI]
@basis="absolute intensity calibration"
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