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User of paramGUI generally start with simulating some data and are immediately presented with a visual of how that data looks, as well as the singular value decomposition (SVD) of that data.
(Alternatively they can load in their own data, or load in some default dataset.)
pyglotaran should also have a default simulation method (ref paramGUI), that when called without argument does the following:
Requirements
Generate x-array dataset with default attributes
it generates a standard x-array dataset with the same parameters (see below) as in paramGUI
Show simulation command
it shows the command that was used to generate this data (this is important to break the black box and subsequently allow student to change the numbers)
Facilitate plotting it directly showing a standard 'report'
when .report() is called on this dataset it should look a bit like as it looks in the paramGUI interface (but nicer ofc)
Screenshot(s)
paramGUI with default arguments
paramGUI with default arguments, but with IRF and sequential scheme
Default arguments
varName
label
value
simDecayRates
Decay rates
(0.055,0.005)
simAmplitudes
Amplitudes
(1.0, 1.0)
simSpecLoc
Location (mean) of spectra (cm-1)
(22000,20000)
simSpecWidth
Width of spectra (cm-1)
4000,3500
simSpecSkew
Skewness of spectra
(0.1, -0.1)
simTimes
Timepoints (linspace)
(0, 80, num=80)
simWavelengths
Wavelengths (linspace)
(400, 600, num=40)
simFracNoise
Stdev. noise
0.01
simSeed
Seed
123
simEnableIRF
Enable Gaussian IRF
False
simLocIRF
"IRF Location"
2.0
simWidthIRF
IRF Width
1.0
simSeqmod
Use a sequential scheme
False
The text was updated successfully, but these errors were encountered:
User of paramGUI generally start with simulating some data and are immediately presented with a visual of how that data looks, as well as the singular value decomposition (SVD) of that data.
(Alternatively they can load in their own data, or load in some default dataset.)
pyglotaran should also have a default simulation method (ref paramGUI), that when called without argument does the following:
Requirements
it generates a standard x-array dataset with the same parameters (see below) as in paramGUI
it shows the command that was used to generate this data (this is important to break the black box and subsequently allow student to change the numbers)
when .report() is called on this dataset it should look a bit like as it looks in the paramGUI interface (but nicer ofc)
Screenshot(s)
Default arguments
The text was updated successfully, but these errors were encountered: