Major update of Telescope class

.gitignore

@@ -114,3 +114,6 @@ karabo/examples/karabo/test/data/results/*
 # Other (playground, experiment, ..)
 .experiment/*
 data_download/*
+
+# files that are generated by OSKAR
+karabo/data/meerkat.tm/element_pattern*

karabo/simulation/coordinate_helper.py

@@ -19,10 +19,10 @@ def east_north_to_long_lat(
     """
 
     # https://stackoverflow.com/questions/7477003/calculating-new-longitude-latitude-from-old-n-meters
-    r_earth = 6371000
-    new_latitude = lat + (east_relative / r_earth) * (180 / np.pi)
-    new_longitude = long + (north_relative / r_earth) * (180 / np.pi) / np.cos(
-        long * np.pi / 180
+    r_earth = 6378100  # from astropy (astropy.constants.R_earth.value)
+    new_latitude = lat + np.rad2deg(east_relative / r_earth)
+    new_longitude = long + np.rad2deg(north_relative / r_earth) / np.cos(
+        np.deg2rad(long)
     )
     return new_longitude, new_latitude
 
@@ -31,7 +31,7 @@ def wgs84_to_cartesian(
     lon: Union[float, NDArray[np.float64]],
     lat: Union[float, NDArray[np.float64]],
     alt: Union[float, NDArray[np.float64]],
-    radius: int = 6371000,
+    radius: int = 6378100,
 ) -> NDArray[np.float64]:
     """Transforms WGS84 to cartesian in meters.
 

karabo/simulation/sky_model.py

@@ -819,14 +819,14 @@ def read_from_file(cls: Type[_TSkyModel], path: str) -> _TSkyModel:
 
         if dataframe.shape[1] < 3:
             raise KaraboSkyModelError(
-                f"CSV does not have the necessary 3 basic columns (RA, DEC and "
+                "CSV does not have the necessary 3 basic columns (RA, DEC and "
                 f"STOKES I), but only {dataframe.shape[1]} columns."
             )
 
         if dataframe.shape[1] > cls.SOURCES_COLS:
             print(
-                f"""CSV has {dataframe.shape[1] - cls.SOURCES_COLS + 1}
-            too many rows. The extra rows will be cut off."""
+                f"CSV has {dataframe.shape[1] - cls.SOURCES_COLS + 1} "
+                "rows too many. The extra rows will be cut off."
             )
 
         return cls(dataframe)