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Ultra l1b extended ssd #789

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34 changes: 34 additions & 0 deletions imap_processing/tests/ultra/unit/test_ultra_l1b_extended.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,11 +5,13 @@
import pytest

from imap_processing.ultra.l1b.ultra_l1b_extended import (
StartType,
StopType,
get_front_x_position,
get_front_y_position,
get_path_length,
get_ph_tof_and_back_positions,
get_ssd_back_position_and_tof_offset,
)


Expand Down Expand Up @@ -85,3 +87,35 @@ def test_get_ph_tof_and_back_positions(

np.testing.assert_array_equal(ph_xb, selected_rows["Xb"].astype("float"))
np.testing.assert_array_equal(ph_yb, selected_rows["Yb"].astype("float"))


def test_get_ssd_back_position_and_tof_offset(
de_dataset,
events_fsw_comparison_theta_0,
):
"""Tests get_ssd_back_position function."""
yb, tof_offset, ssd_number = get_ssd_back_position_and_tof_offset(de_dataset)

df = pd.read_csv(events_fsw_comparison_theta_0)
df_filt = df[(df["StartType"] != -1) & (df["StopType"] >= 8)]

np.testing.assert_array_equal(yb, df_filt["Yb"].astype("float"))

tof_offset_lt = tof_offset[df_filt["StartType"] == StartType.Left.value]
tof_offset_rt = tof_offset[df_filt["StartType"] == StartType.Right.value]

ssd_number_lt = ssd_number[df_filt["StartType"] == StartType.Left.value]
ssd_number_rt = ssd_number[df_filt["StartType"] == StartType.Right.value]

np.testing.assert_array_equal(
tof_offset_lt[ssd_number_lt == 3],
np.full(len(tof_offset_lt[ssd_number_lt == 3]), -4.2),
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)
np.testing.assert_array_equal(
tof_offset_rt[ssd_number_rt == 7],
np.full(len(tof_offset_rt[ssd_number_rt == 7]), -6),
)
np.testing.assert_array_equal(
tof_offset_rt[ssd_number_rt == 4],
np.full(len(tof_offset_rt[ssd_number_rt == 4]), -4),
)
61 changes: 60 additions & 1 deletion imap_processing/ultra/l1b/ultra_l1b_extended.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
"""Calculates Extended Raw Events for ULTRA L1b."""

from enum import Enum
from typing import ClassVar

import numpy as np
import xarray
Expand All @@ -23,11 +24,19 @@
# TODO: make lookup tables into config files.


class StartType(Enum):
"""Start Type: 1=Left, 2=Right."""

Left = 1
Right = 2


class StopType(Enum):
"""Stop Type: 1=Top, 2=Bottom."""
"""Stop Type: 1=Top, 2=Bottom, SSD: 8-15."""

Top = 1
Bottom = 2
SSD: ClassVar[list[int]] = [8, 9, 10, 11, 12, 13, 14, 15]


def get_front_x_position(start_type: ndarray, start_position_tdc: ndarray) -> ndarray:
Expand Down Expand Up @@ -258,3 +267,53 @@ def get_path_length(front_position: tuple, back_position: tuple, d: float) -> fl
)

return r


def get_ssd_back_position_and_tof_offset(
de_dataset: xarray.Dataset,
) -> tuple[np.ndarray, np.ndarray, np.ndarray]:
"""
Lookup the Y SSD positions (yb), TOF Offset, and SSD number.

Parameters
----------
de_dataset : xarray.Dataset
The input dataset containing STOP_TYPE and SSD_FLAG data.

Returns
-------
yb : np.ndarray
Y SSD positions in hundredths of a millimeter.
tof_offset : np.ndarray
TOF offset.
ssd_number : np.ndarray
SSD number.

Notes
-----
The X back position (xb) is assumed to be 0 for SSD.
"""
indices = np.nonzero(np.isin(de_dataset["STOP_TYPE"], StopType.SSD.value))[0]
de_filtered = de_dataset.isel(epoch=indices)

yb = np.zeros(len(indices), dtype=np.float64)
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ssd_number = np.zeros(len(indices), dtype=int)
tof_offset = np.zeros(len(indices), dtype=np.float64)

for i in range(8):
# Multiply ybs times 100 to convert to hundredths of a millimeter.
yb[de_filtered[f"SSD_FLAG_{i}"].data == 1] = (
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get_image_params(f"YBKSSD{i}") * 100
)
ssd_number[de_filtered[f"SSD_FLAG_{i}"].data == 1] = i

tof_offset[
(de_filtered["START_TYPE"] == StartType.Left.value)
& (de_filtered[f"SSD_FLAG_{i}"].data == 1)
] = get_image_params(f"TOFSSDLTOFF{i}")
tof_offset[
(de_filtered["START_TYPE"] == StartType.Right.value)
& (de_filtered[f"SSD_FLAG_{i}"].data == 1)
] = get_image_params(f"TOFSSDRTOFF{i}")

return yb, tof_offset, ssd_number
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