Update model documentation

fink_science/data/models/README.md

@@ -2,23 +2,23 @@
 
 To load and run model properly, you need to check carefuly the dependencies used in Fink: [deps](https://github.com/astrolabsoftware/fink-broker/tree/master/deps).
 
+Information about the science modules (and related journal papers), can be found in the [Fink documentation](https://fink-broker.readthedocs.io/en/latest/broker/science_modules/).
 
 ## ZTF
 
 Default models used for ZTF:
 
 | model name | used in | Description |
 |------------|---------|-------------|
-| `snn_models/snn_snia_vs_nonia/model.pt`| `snn` | Ia vs core-collapse SNe |
-| `snn_models/snn_sn_vs_all/model.pt`| `snn` | SNe vs. anything else (var star and other stuff in training) |
-| `default-model_sigmoid.obj` | `random_forest_snia` | Early SN Ia classification using lightcurve features (random forest). Binary classification. `sklearn==1.0.2` |
-| `rf.sav` | `microlensing` | scikit-learn model used in Random Forest. `sklearn==1.0.2` |
-| `pca.sav` | `microlensing` | scikit-learn (pca) model used in Random Forest. `sklearn==1.0.2` |
-|`components.csv`| `kilonova`| file containing principal components from simulations|
+| `snn_models/snn_snia_vs_nonia/model.pt`| `snn` | Binary classifier based on SuperNNova. Ia vs core-collapse SNe |
+| `snn_models/snn_sn_vs_all/model.pt`| `snn` | Binary classifier based on SuperNNova. SNe vs. anything else (var star and other stuff in training) |
+| `default-model_sigmoid.obj` | `random_forest_snia` | Early SN Ia classification using lightcurve features. Binary classification. Random forest. `sklearn==1.0.2` |
+| `rf.sav` | `microlensing` | Random Forest classifier for microlensing classification. 4 classes: ML, VAR, CONST, SN. `sklearn==1.0.2` |
+| `pca.sav` | `microlensing` | PCA for microlensing classification. `sklearn==1.0.2` |
 | `for_al_loop/*.pkl` | active learning loop | Models used in the context of Active Learning for early SN Ia detection. `sklearn==1.0.2` |
-|`anomaly_detection`| `anomaly_detection` | Zip files with different models used for Anomaly detection |
+|`anomaly_detection`| `anomaly_detection` | Zip files with different models used for Anomaly detection. Based on modified Random Forest. |
 
-Models for Kilonova are in [kndetect](https://github.com/b-biswas/kndetect).
+Models for Kilonova detection are in [kndetect](https://github.com/b-biswas/kndetect).
 
 ## Elasticc/Rubin