UPC-PreciseNetwork: Estimation of the Shape Function

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The computation process that produces observed properties from its input data.
Input data may be an acquisition or some other computatation, not listed here yet. TODO: add input specification
Each newly computed observed property that this computation can produce is defined as its *capability*.
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    <identifier>
        <PITHIA_Identifier>
            <localID>ComputationCapabilities_UPC-PreciseNetwork_ShapeFunction-by-LSS</localID>
            <namespace>upc</namespace>
            <version>1</version>
            <creationDate>2023-12-05T08:00:07Z</creationDate>
            <lastModificationDate>2023-12-05T08:00:07Z</lastModificationDate>
        </PITHIA_Identifier>
    </identifier>
    <name>UPC-PreciseNetwork: Estimation of the Shape Function</name>  
    <description>
        In order to estimate the unknown shape function, we build the inverse problem jacobian, with every raw 
        corresponding to each given observation, formed by 1, as coefficient of the unknown ionospheric carrier 
        phase ambiguity, and the lengths correspondingly multiplied by VTEC, for each part of line of sight inside 
        each illuminated layer. Finally, we compute the shape function profile(s) at every layer, and Bi by Least 
        Squares.   
    </description>
    <capabilities>
        <processCapability>
            <name>Shape Function valid over a 2D region</name>
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            <dimensionalityTimeline xlink:href="https://metadata.pithia.eu/ontology/2.2/dimensionalityTimeline/2DImageProfilogram"/>
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        </processCapability>
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    <version/>
    <softwareReference/>
    <processingInput/>
    <algorithm/>
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