Datasets:

RGES-PIT
/

MachineLearning

@@ -158,7 +158,7 @@ Maps each unique observation time (BJD) and corresponding telescope coordinates
 - Note that not all lenses and sources are necessarily involved in the microlensing event. `ObsGroup_0_chi2` > 160 for events from the binary lens simulations indicates that an anomaly may be present in the light curve. The anomalies may be planetary perturbations and caustic crossings, finite source effects, or parallax effects.
 **Representativeness & Weighting:**
-- This data set only includes potentially detectable microlensing events where the chi-squared difference between the best fit flat model and the true model is greater than 60, i.e. $$\chi^2_{\text{flat}} - \chi^2_{\text{true}} > 60$$.
 - The full set of events is **not directly representative** of the raw astrophysical population due to detection significance cuts and GULLS coordinate transformations (e.g. in `croin` caustic-relative coordinates, the host star $t_0$ and $u_0$ are often transformed far outside of normal ranges or observing seasons, even though the planetary anomaly itself is actively observed in-season).
 - To make the dataset more representative of the true underlying Galactic population, you can apply the population weights stored in the **`final_weight`** column directly during training and analysis, or use them to draw a resampled, less biased dataset.
 - The **`is_out_of_season`** flag indicates whether the closest approach time of the primary lens (`t0lens1`) falls in a seasonal gap when the Galactic Bulge is unobservable. While the lightcurves of these events still show signature features of the microlensing event, their peak stellar magnification is not covered by observations. As a result, these events might be difficult for machine learning models to classify correctly, and you may want to filter them out depending on your specific modeling goals.

 - Note that not all lenses and sources are necessarily involved in the microlensing event. `ObsGroup_0_chi2` > 160 for events from the binary lens simulations indicates that an anomaly may be present in the light curve. The anomalies may be planetary perturbations and caustic crossings, finite source effects, or parallax effects.
 **Representativeness & Weighting:**
+- This data set only includes potentially detectable microlensing events where the chi-squared difference between the best fit flat model and the true model is greater than 60, i.e. $\chi^2_{\text{flat}} - \chi^2_{\text{true}} > 60$.
 - The full set of events is **not directly representative** of the raw astrophysical population due to detection significance cuts and GULLS coordinate transformations (e.g. in `croin` caustic-relative coordinates, the host star $t_0$ and $u_0$ are often transformed far outside of normal ranges or observing seasons, even though the planetary anomaly itself is actively observed in-season).
 - To make the dataset more representative of the true underlying Galactic population, you can apply the population weights stored in the **`final_weight`** column directly during training and analysis, or use them to draw a resampled, less biased dataset.
 - The **`is_out_of_season`** flag indicates whether the closest approach time of the primary lens (`t0lens1`) falls in a seasonal gap when the Galactic Bulge is unobservable. While the lightcurves of these events still show signature features of the microlensing event, their peak stellar magnification is not covered by observations. As a result, these events might be difficult for machine learning models to classify correctly, and you may want to filter them out depending on your specific modeling goals.