Flow-charts.md

@@ -16,30 +16,34 @@ graph TD
 
 ```mermaid
 graph TD 
-   h1[(Channel 1)]-->A(Preprocessing)
-   h2[(Channel 2)]-->A
-   sim(Simulate data)-->hsim[Simulated data]
-   hsim-->A
-   A-->B(Cross Correlation)
-   B-->C1[ft map with Y]
-   B-->C2[ft map with PSD1]
-   B-->C3[ft map with PSD2]
-   C2-->DQ(Data Quality)
-   C3-->DQ(Data Quality)
-   C1-->DQ(Data Quality)
-   ORF(ORF)-->D(Data Quality)
-   DQ-->D(Post-processing)
-   DQ-->D2(Other searches)
-   D-->E0[f series: Y and sigma]
-   Ep[Other baselines, Y and sigma]-->E[Final f series, Y and sigma]
-   E0-->E
-   E-->F(Parameter estimation)
-   ORF-->F
-   style A fill:#bbf,stroke:#bbf
-   style B fill:#bbf,stroke:#bbf
-   style D fill:#bbf,stroke:#bbf
-   style D2 fill:#f00,stroke:#ff0
-   style F fill:#bbf,stroke:#bbf
+   h1[(Channel 1)]-->Preproc(Preprocessing)
+   h2[(Channel 2)]-->Preproc
+   Sim(Software injections)-->hsim[Simulated data]
+   hsim-->Preproc
+   Preproc-->DE(Density Estimation)
+   DE-->Cross[ft map with CSD]
+   DE-->Auto1[ft map with PSD1]
+   DE-->Auto2[ft map with PSD2]
+   Cross-->DQ(Data Quality)
+   Auto1-->DQ(Data Quality)
+   Auto2-->DQ(Data Quality)
+   DQ-->Postproc(Post-processing)
+   DQ-->Other(Other searches)
+   Postproc-->BaselineIsoSpectrum[f series: Y and sigma]
+   OtherIsoSpectra[Other baselines, Y and sigma]-->FinalIsoSpectrum[Final f series, Y and sigma]
+   BaselineIsoSpectrum-->FinalIsoSpectrum
+   FinalIsoSpectrum-->PE(Parameter estimation)
+   PE-->[Posterior samples]
+   ORF(ORF)-->DQ
+   ORF-->Postproc
+   ORF-->Other
+   ORF-->PE
+   style Sim fill:#bbf,stroke:#bbf
+   style Preproc fill:#bbf,stroke:#bbf
+   style DE fill:#bbf,stroke:#bbf
+   style DQ fill:#bbf,stroke:#bbf
+   style Postproc fill:#bbf,stroke:#bbf
+   style PE fill:#bbf,stroke:#bbf
    style ORF fill:#bbf,stroke:#bbf
 ```