« GPCorrelation » : différence entre les versions

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*In case of cartesian parameters:
*In case of cartesian parameters:


[[File:GPCorrelation2.png]]
[[File:GPCorrelation2.png|1000px]]


* In case of LOF parameters:
* In case of LOF parameters:


[[File:GPCorrelation3.png]]
[[File:GPCorrelation3.png|1000px]]


So we may have a covariance matrix rather than a correlation one:
So we may have a covariance matrix rather than a correlation one:
[[File:GPCorrelation4.png]]
 
[[File:GPCorrelation4.png|1000px]]


If the initial correlation (resp. covariance) matrix is not null, a specific pop-up window will appear to ask for the type of conversion. A bit as for the [[GPOrbit|GPOrbit]] widget, it will be possible to do this conversion between correlation and covariance matrices (but not between the different type of parameters) using a kind of “pivot” notion.
If the initial correlation (resp. covariance) matrix is not null, a specific pop-up window will appear to ask for the type of conversion. A bit as for the [[GPOrbit|GPOrbit]] widget, it will be possible to do this conversion between correlation and covariance matrices (but not between the different type of parameters) using a kind of “pivot” notion.

Version du 13 décembre 2021 à 16:11

How to call it

For using the GPCorrelation class, the developer has only to create such an object as is:

gpCor = new GPCorrelation();

or:

gpCor = new GPCorrelation("widgetId", "MyMatrix");

Display

We will get:

GPCorrelation0.png

By selecting the type of parameters, we may enter data for correlation/covariance matrix for Keplerian/Cartesian/LOF cartesians parameters. The different displays will be:

  • In case of Keplerian parameters:

GPCorrelation1.png

  • In case of cartesian parameters:

GPCorrelation2.png

  • In case of LOF parameters:

GPCorrelation3.png

So we may have a covariance matrix rather than a correlation one:

GPCorrelation4.png

If the initial correlation (resp. covariance) matrix is not null, a specific pop-up window will appear to ask for the type of conversion. A bit as for the GPOrbit widget, it will be possible to do this conversion between correlation and covariance matrices (but not between the different type of parameters) using a kind of “pivot” notion.

GPCorrelation5.png

GPCorrelation6.png

How to use it

Therei no exactly corresponding correlation/covariance matrices inside PATRIUS but GENOPUS gives some utility classes and methods to use them.

...

How it is stored

Here is the XML format:

...