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Substitui magnitudes normalizadas Praia por originais Gaia #870

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Feb 23, 2024
Merged

Substitui magnitudes normalizadas Praia por originais Gaia #870

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b146dfa
Substitui magnitudes normalizadas Praia por originais Gaia ao salvar …
rcboufleur Feb 23, 2024
bcfb413
change magnitude in map
glaubervila Feb 23, 2024
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2 changes: 1 addition & 1 deletion backend/tno/prediction_map.py
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Original file line number Diff line number Diff line change
Expand Up @@ -151,7 +151,7 @@ def upcoming_events_to_create_maps(
"position_angle": obj.position_angle,
"velocity": obj.velocity,
"delta": obj.delta,
"g": obj.g,
"g": obj.g_star,
"long": obj.long,
"filepath": str(obj.get_map_filepath()),
}
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27 changes: 27 additions & 0 deletions predict_occultation/src/predict_occultation/pipeline/occ_path_coeff.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import json
import os
from datetime import datetime as dt
from datetime import timezone
from pathlib import Path
Expand Down Expand Up @@ -98,6 +99,13 @@ def run_occultation_path_coeff(predict_table_path: Path, obj_data: dict):
df.loc[df["h_star"] == 50, "h_star"] = None
df.loc[df["k_star"] == 50, "k_star"] = None

# Le o source_id, ra, dec e g magnitude do catalogo gaia csv
df_gaia_csv = pd.read_csv(
os.path.join(obj_data["path"], "gaia_catalog.csv"),
usecols=(0, 1, 3, 13),
delimiter=";",
)

# -------------------------------------------------
# Coeff paths e calculo de outros grandezas
# -------------------------------------------------
Expand All @@ -107,6 +115,8 @@ def run_occultation_path_coeff(predict_table_path: Path, obj_data: dict):
for row in df.to_dict(orient="records"):

new_row = {
"gaia_source_id": None,
"gaia_g_mag": None,
"apparent_magnitude": None,
"magnitude_drop": None,
"aparent_diameter": None,
Expand All @@ -119,6 +129,19 @@ def run_occultation_path_coeff(predict_table_path: Path, obj_data: dict):
"occ_path_coeff": {},
}

# Obtem a magnitude da estrela do catalogo gaia (a magnitude retornada
# pelo praia esta corrigida por padrão por velocidade da sombra, por isso é substituída)
minimum_distance = np.sqrt(
(df_gaia_csv["ra"] - row["ra_star_deg"]) ** 2
+ (df_gaia_csv["dec"] - row["dec_star_deg"]) ** 2
)
star_index = np.argmin(minimum_distance)
source_id, gaia_g_mag = (
df_gaia_csv["source_id"][star_index],
df_gaia_csv["phot_g_mean_mag"][star_index],
)
new_row.update({"gaia_source_id": source_id, "gaia_g_mag": gaia_g_mag})

# ------------------------------------------------------------------------
# Calcula a magnitude visual do asteroide no instante da ocultação
# Alerta: os arquivos bsp estão na memoria global por alguma razão,
Expand Down Expand Up @@ -220,6 +243,8 @@ def run_occultation_path_coeff(predict_table_path: Path, obj_data: dict):
if len(coeff_paths) > 0:
df_coeff = pd.DataFrame.from_dict(coeff_paths)

df["gaia_source_id"] = df_coeff["gaia_source_id"]
df["g_star"] = df_coeff["gaia_g_mag"]
df["apparent_magnitude"] = df_coeff["apparent_magnitude"]
df["magnitude_drop"] = df_coeff["magnitude_drop"]
df["aparent_diameter"] = df_coeff["aparent_diameter"]
Expand All @@ -234,6 +259,8 @@ def run_occultation_path_coeff(predict_table_path: Path, obj_data: dict):

del df_coeff
else:
df["gaia_source_id"] = None
df["g_star"] = None
df["apparent_magnitude"] = None
df["magnitude_drop"] = None
df["aparent_diameter"] = None
Expand Down
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