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Team:OUC-China/Modeling/ParameterSweep
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<p><strong>Aim:</strong>To discover the optimized ranges of important parameters. | <p><strong>Aim:</strong>To discover the optimized ranges of important parameters. | ||
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<p>We will use the best parameter set to perform noise analysis. | <p>We will use the best parameter set to perform noise analysis. | ||
Revision as of 15:47, 26 September 2012
Parameter sweep
Aim:To discover the optimized ranges of important parameters.
Steps:
Brief Result:We determined the optimal parameter ranges for the ternary system, and selected a best parameter set for noise analysis.
Why chose slope as an indicator?
Slope is given by : Slope= Δ[m]steady/Δratio=2* ([m]steady1:1 - [m]steady1:2)
Also slope is not the only candidate indicator, the other indicator candidates weeded out are given below:
‘Sensitive’ does not means ‘important’
Sensitive does not means important, for sensitive parameters are fixed inherently and are not adjustable, always.
We swept 4 parameters for the reasons given below:
Establish parameter sweep database (4 parameters at the same time)
We swept km,βm,αm, ks at the same time and collected 120,000 3-ODE steady-state datapoints by mass computation.
For the database is a collection of 5-Dimensional data points, it’s rational to show the result in the format of projection on 2-D surface to indicate the relationship between slope and arbitrary 2 parameters we swept
Comparator(slope vs. arbitrary 2 parameters)
Ratio Senor(slope vs. arbitrary 2 parameters)
Determine optimal parameter range
We screened the database to get rid of unreasonable datapoints with restrictions:
We will use the best parameter set to perform noise analysis.
