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I-ALiRT - select last from time #2663

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I-ALiRT - select last from time #2663

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28 changes: 11 additions & 17 deletions imap_processing/ialirt/l0/process_swe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -520,6 +520,11 @@ def process_swe(accumulated_data: xr.Dataset, in_flight_cal_files: list) -> list

# Interpolate to find the correct calibration factor
in_flight_cal_df = read_in_flight_cal_data(in_flight_cal_files)
in_flight_cal_df = (
in_flight_cal_df.dropna(subset=["met_time"])
.sort_values("met_time")
.reset_index(drop=True)
)
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@tech3371 tech3371 Feb 5, 2026

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can you move these lines into read_in_flight_cal_data()? it seems like it would be useful for science too.

# Get names of all 7 cems in the calibration file
cal_cols = [f"cem{i}" for i in range(1, 8)]
cal_met = in_flight_cal_df["met_time"].to_numpy()
Expand All @@ -533,15 +538,10 @@ def process_swe(accumulated_data: xr.Dataset, in_flight_cal_files: list) -> list
) // 2

# Interpolate to the appropriate calibration factor
idx = np.searchsorted(cal_met, group_time_first_half_mid, side="right") - 1

interp_cal_first_half = np.array(
[
np.interp(
int(group_time_first_half_mid),
cal_met,
in_flight_cal_df[cem].to_numpy(),
)
for cem in cal_cols
],
[in_flight_cal_df[cem].iloc[idx] for cem in cal_cols],
dtype=np.float64,
)
# Find the middle timestamp of the second group
Expand All @@ -551,16 +551,10 @@ def process_swe(accumulated_data: xr.Dataset, in_flight_cal_files: list) -> list
group_time_second_half_mid = (
group_time_second_half[0] + group_time_second_half[-1]
) // 2
# Interpolate to the appropriate calibration factor
idx = np.searchsorted(cal_met, group_time_second_half_mid, side="right") - 1

interp_cal_second_half = np.array(
[
np.interp(
int(group_time_second_half_mid),
cal_met,
in_flight_cal_df[cem].to_numpy(),
)
for cem in cal_cols
],
[in_flight_cal_df[cem].iloc[idx] for cem in cal_cols],
dtype=np.float64,
)

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