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Author SHA1 Message Date
x12sa
0beb8136b4 added docs for burst acquisition
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2026-02-18 13:06:23 +01:00
x12sa
fa9fa35374 post startup script sessions for all setups, and required modifications
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2026-02-18 12:32:44 +01:00
x12sa
5e84bfc279 logic for gain setting and readback for bpm amplifiers
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2026-02-17 12:56:04 +01:00
x12sa
b801bbdaeb fix(config): remove panda test config
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2026-02-16 20:10:48 +01:00
x12sa
272f3e4119 refactor(panda-box): add pandaboxomny and refactor panda_box main integration
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2026-02-16 17:53:03 +01:00
x12sa
5cdd113d9f fix(ferma-scan): fix flomni, lamni and omny fermat scans. add exp_time and frames_per_trigger 2026-02-16 17:53:03 +01:00
x12sa
4f013e0306 refactor(config): Update configs for bl_general and flomni 2026-02-16 17:53:03 +01:00
f5725e0781 w 2026-02-16 17:53:03 +01:00
8aabe53ade w 2026-02-16 17:53:03 +01:00
23be81b8f8 w 2026-02-16 17:53:03 +01:00
dd009d2c28 w 2026-02-16 17:53:03 +01:00
f4eb92f691 refactor(panda-box): refactor Pandabox, moving logic to base class 2026-02-16 17:53:03 +01:00
x01dc
66eeb7b911 feat: add panda box csaxs integration 2026-02-16 17:53:03 +01:00
34 changed files with 2365 additions and 1992 deletions

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@@ -1,6 +1,2 @@
from .alignment import XrayEyeAlign
from .lamni import LamNI
from .lamni_optics_mixin import LamNIInitError, LaMNIInitStages, LamNIOpticsMixin
__all__ = [
"LamNI", "XrayEyeAlign", "LamNIInitError", "LaMNIInitStages", "LamNIOpticsMixin"
]
from .load_additional_correction import lamni_read_additional_correction
from .x_ray_eye_align import DataDrivenLamNI, LamNI, MagLamNI, XrayEyeAlign

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@@ -1,461 +0,0 @@
import builtins
import time
from collections import defaultdict
import numpy as np
from bec_lib import bec_logger
from typeguard import typechecked
from csaxs_bec.bec_ipython_client.plugins.cSAXS import epics_get, epics_put, fshopen
logger = bec_logger.logger
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
class XrayEyeAlign:
# pixel calibration, multiply to get mm
# PIXEL_CALIBRATION = 0.2/209 #.2 with binning
PIXEL_CALIBRATION = 0.2 / 218 # .2 with binning
def __init__(self, client, lamni) -> None:
self.client = client
self.lamni = lamni
self.device_manager = client.device_manager
self.scans = client.scans
self.alignment_values = defaultdict(list)
self._reset_init_values()
self.corr_pos_x = []
self.corr_pos_y = []
self.corr_angle = []
self.corr_pos_x_2 = []
self.corr_pos_y_2 = []
self.corr_angle_2 = []
# ------------------------------------------------------------------
# Correction reset
# ------------------------------------------------------------------
def reset_correction(self):
self.corr_pos_x = []
self.corr_pos_y = []
self.corr_angle = []
def reset_correction_2(self):
self.corr_pos_x_2 = []
self.corr_pos_y_2 = []
self.corr_angle_2 = []
def reset_xray_eye_correction(self):
self.client.delete_global_var("tomo_fit_xray_eye")
# ------------------------------------------------------------------
# FOV offset properties
# ------------------------------------------------------------------
@property
def tomo_fovx_offset(self):
val = self.client.get_global_var("tomo_fov_offset")
if val is None:
return 0.0
return val[0] / 1000
@tomo_fovx_offset.setter
@typechecked
def tomo_fovx_offset(self, val: float):
val_old = self.client.get_global_var("tomo_fov_offset")
if val_old is None:
val_old = [0.0, 0.0]
self.client.set_global_var("tomo_fov_offset", [val * 1000, val_old[1]])
@property
def tomo_fovy_offset(self):
val = self.client.get_global_var("tomo_fov_offset")
if val is None:
return 0.0
return val[1] / 1000
@tomo_fovy_offset.setter
@typechecked
def tomo_fovy_offset(self, val: float):
val_old = self.client.get_global_var("tomo_fov_offset")
if val_old is None:
val_old = [0.0, 0.0]
self.client.set_global_var("tomo_fov_offset", [val_old[0], val * 1000])
# ------------------------------------------------------------------
# Internal helpers
# ------------------------------------------------------------------
def _reset_init_values(self):
self.shift_xy = [0, 0]
self._xray_fov_xy = [0, 0]
def _disable_rt_feedback(self):
self.device_manager.devices.rtx.controller.feedback_disable()
def _enable_rt_feedback(self):
self.device_manager.devices.rtx.controller.feedback_enable_with_reset()
def tomo_rotate(self, val: float):
# pylint: disable=undefined-variable
umv(self.device_manager.devices.lsamrot, val)
def get_tomo_angle(self):
return self.device_manager.devices.lsamrot.readback.read()["lsamrot"]["value"]
# ------------------------------------------------------------------
# X-ray eye camera control
# ------------------------------------------------------------------
def save_frame(self):
epics_put("XOMNYI-XEYE-SAVFRAME:0", 1)
def update_frame(self):
epics_put("XOMNYI-XEYE-ACQDONE:0", 0)
# start live
epics_put("XOMNYI-XEYE-ACQ:0", 1)
# wait for start live
while epics_get("XOMNYI-XEYE-ACQDONE:0") == 0:
time.sleep(0.5)
print("waiting for live view to start...")
fshopen()
epics_put("XOMNYI-XEYE-ACQDONE:0", 0)
while epics_get("XOMNYI-XEYE-ACQDONE:0") == 0:
print("waiting for new frame...")
time.sleep(0.5)
time.sleep(0.5)
# stop live view
epics_put("XOMNYI-XEYE-ACQ:0", 0)
time.sleep(1)
print("got new frame")
def update_fov(self, k: int):
self._xray_fov_xy[0] = max(epics_get(f"XOMNYI-XEYE-XWIDTH_X:{k}"), self._xray_fov_xy[0])
self._xray_fov_xy[1] = max(0, self._xray_fov_xy[0])
@property
def movement_buttons_enabled(self):
return [epics_get("XOMNYI-XEYE-ENAMVX:0"), epics_get("XOMNYI-XEYE-ENAMVY:0")]
@movement_buttons_enabled.setter
def movement_buttons_enabled(self, enabled: bool):
enabled = int(enabled)
epics_put("XOMNYI-XEYE-ENAMVX:0", enabled)
epics_put("XOMNYI-XEYE-ENAMVY:0", enabled)
def send_message(self, msg: str):
epics_put("XOMNYI-XEYE-MESSAGE:0.DESC", msg)
# ------------------------------------------------------------------
# Alignment procedure
# ------------------------------------------------------------------
def align(self):
self._reset_init_values()
self.reset_correction()
self.reset_correction_2()
self._disable_rt_feedback()
epics_put("XOMNYI-XEYE-PIXELSIZE:0", self.PIXEL_CALIBRATION)
self._enable_rt_feedback()
self.movement_buttons_enabled = False
epics_put("XOMNYI-XEYE-ACQ:0", 0)
self.send_message("please wait...")
epics_put("XOMNYI-XEYE-SAMPLENAME:0.DESC", "Let us LAMNI...")
self._disable_rt_feedback()
k = 0
self.lamni.lfzp_in()
self.update_frame()
self.movement_buttons_enabled = False
epics_put("XOMNYI-XEYE-SUBMIT:0", 0)
epics_put("XOMNYI-XEYE-STEP:0", 0)
self.send_message("Submit center value of FZP.")
while True:
if epics_get("XOMNYI-XEYE-SUBMIT:0") == 1:
val_x = epics_get(f"XOMNYI-XEYE-XVAL_X:{k}") * self.PIXEL_CALIBRATION # in mm
val_y = epics_get(f"XOMNYI-XEYE-YVAL_Y:{k}") * self.PIXEL_CALIBRATION # in mm
self.alignment_values[k] = [val_x, val_y]
print(
f"Clicked position {k}: x {self.alignment_values[k][0]}, y"
f" {self.alignment_values[k][1]}"
)
if k == 0: # received center value of FZP
self.send_message("please wait ...")
self.lamni.loptics_out()
epics_put("XOMNYI-XEYE-SUBMIT:0", -1)
self.movement_buttons_enabled = False
print("Moving sample in, FZP out")
self._disable_rt_feedback()
time.sleep(0.3)
self._enable_rt_feedback()
time.sleep(0.3)
self.update_frame()
self.send_message("Go and find the sample")
epics_put("XOMNYI-XEYE-SUBMIT:0", 0)
self.movement_buttons_enabled = True
elif k == 1: # received sample center value at samrot 0
msg = (
f"Base shift values from movement are x {self.shift_xy[0]}, y"
f" {self.shift_xy[1]}"
)
print(msg)
logger.info(msg)
self.shift_xy[0] += (
self.alignment_values[0][0] - self.alignment_values[1][0]
) * 1000
self.shift_xy[1] += (
self.alignment_values[1][1] - self.alignment_values[0][1]
) * 1000
print(
"Base shift values from movement and clicked position are x"
f" {self.shift_xy[0]}, y {self.shift_xy[1]}"
)
self.scans.lamni_move_to_scan_center(
self.shift_xy[0] / 1000, self.shift_xy[1] / 1000, self.get_tomo_angle()
).wait()
self.send_message("please wait ...")
epics_put("XOMNYI-XEYE-SUBMIT:0", -1)
self.movement_buttons_enabled = False
time.sleep(1)
self.scans.lamni_move_to_scan_center(
self.shift_xy[0] / 1000, self.shift_xy[1] / 1000, self.get_tomo_angle()
).wait()
epics_put("XOMNYI-XEYE-ANGLE:0", self.get_tomo_angle())
self.update_frame()
self.send_message("Submit sample center and FOV (0 deg)")
epics_put("XOMNYI-XEYE-SUBMIT:0", 0)
self.update_fov(k)
elif 1 < k < 10: # received sample center value at samrot 0 ... 315
self.send_message("please wait ...")
epics_put("XOMNYI-XEYE-SUBMIT:0", -1)
self._disable_rt_feedback()
self.tomo_rotate((k - 1) * 45 - 45 / 2)
self.scans.lamni_move_to_scan_center(
self.shift_xy[0] / 1000, self.shift_xy[1] / 1000, self.get_tomo_angle()
).wait()
self._disable_rt_feedback()
self.tomo_rotate((k - 1) * 45)
self.scans.lamni_move_to_scan_center(
self.shift_xy[0] / 1000, self.shift_xy[1] / 1000, self.get_tomo_angle()
).wait()
epics_put("XOMNYI-XEYE-ANGLE:0", self.get_tomo_angle())
self.update_frame()
self.send_message("Submit sample center")
epics_put("XOMNYI-XEYE-SUBMIT:0", 0)
epics_put("XOMNYI-XEYE-ENAMVX:0", 1)
self.update_fov(k)
elif k == 10: # received sample center value at samrot 270, done
self.send_message("done...")
epics_put("XOMNYI-XEYE-SUBMIT:0", -1)
self.movement_buttons_enabled = False
self.update_fov(k)
break
k += 1
epics_put("XOMNYI-XEYE-STEP:0", k)
if k < 2:
_xrayeyalignmvx = epics_get("XOMNYI-XEYE-MVX:0")
_xrayeyalignmvy = epics_get("XOMNYI-XEYE-MVY:0")
if _xrayeyalignmvx != 0 or _xrayeyalignmvy != 0:
self.shift_xy[0] = self.shift_xy[0] + _xrayeyalignmvx
self.shift_xy[1] = self.shift_xy[1] + _xrayeyalignmvy
self.scans.lamni_move_to_scan_center(
self.shift_xy[0] / 1000, self.shift_xy[1] / 1000, self.get_tomo_angle()
).wait()
print(
f"Current center horizontal {self.shift_xy[0]} vertical {self.shift_xy[1]}"
)
epics_put("XOMNYI-XEYE-MVY:0", 0)
epics_put("XOMNYI-XEYE-MVX:0", 0)
self.update_frame()
time.sleep(0.2)
self.write_output()
fovx = self._xray_fov_xy[0] * self.PIXEL_CALIBRATION * 1000 / 2
fovy = self._xray_fov_xy[1] * self.PIXEL_CALIBRATION * 1000 / 2
print(
f"The largest field of view from the xrayeyealign was \nfovx = {fovx:.0f} microns,"
f" fovy = {fovy:.0f} microns"
)
print("Use matlab routine to fit the current alignment...")
print(
"This additional shift is applied to the base shift values\n which are x"
f" {self.shift_xy[0]}, y {self.shift_xy[1]}"
)
self._disable_rt_feedback()
self.tomo_rotate(0)
print(
"\n\nNEXT LOAD ALIGNMENT PARAMETERS\nby running"
" lamni.align.read_xray_eye_correction()\n"
)
self.client.set_global_var("tomo_fov_offset", self.shift_xy)
# ------------------------------------------------------------------
# Alignment output
# ------------------------------------------------------------------
def write_output(self):
import os
with open(
os.path.expanduser("~/Data10/specES1/internal/xrayeye_alignmentvalues"), "w"
) as alignment_values_file:
alignment_values_file.write("angle\thorizontal\tvertical\n")
for k in range(2, 11):
fovx_offset = (self.alignment_values[0][0] - self.alignment_values[k][0]) * 1000
fovy_offset = (self.alignment_values[k][1] - self.alignment_values[0][1]) * 1000
print(
f"Writing to file new alignment: number {k}, value x {fovx_offset}, y"
f" {fovy_offset}"
)
alignment_values_file.write(f"{(k-2)*45}\t{fovx_offset}\t{fovy_offset}\n")
# ------------------------------------------------------------------
# X-ray eye sinusoidal correction (loaded from MATLAB fit files)
# ------------------------------------------------------------------
def read_xray_eye_correction(self, dir_path=None):
import os
if dir_path is None:
dir_path = os.path.expanduser("~/Data10/specES1/internal/")
tomo_fit_xray_eye = np.zeros((2, 3))
for i, axis in enumerate(["x", "y"]):
for j, coeff in enumerate(["A", "B", "C"]):
with open(os.path.join(dir_path, f"ptychotomoalign_{coeff}{axis}.txt"), "r") as f:
tomo_fit_xray_eye[i][j] = f.readline()
self.client.set_global_var("tomo_fit_xray_eye", tomo_fit_xray_eye.tolist())
# x amp, phase, offset, y amp, phase, offset
# 0 0 0 1 0 2 1 0 1 1 1 2
print("New alignment parameters loaded from X-ray eye")
print(
f"X Amplitude {tomo_fit_xray_eye[0][0]}, "
f"X Phase {tomo_fit_xray_eye[0][1]}, "
f"X Offset {tomo_fit_xray_eye[0][2]}, "
f"Y Amplitude {tomo_fit_xray_eye[1][0]}, "
f"Y Phase {tomo_fit_xray_eye[1][1]}, "
f"Y Offset {tomo_fit_xray_eye[1][2]}"
)
def lamni_compute_additional_correction_xeye_mu(self, angle):
"""Compute sinusoidal correction from the X-ray eye fit for the given angle."""
tomo_fit_xray_eye = self.client.get_global_var("tomo_fit_xray_eye")
if tomo_fit_xray_eye is None:
print("Not applying any additional correction. No x-ray eye data available.\n")
return (0, 0)
# x amp, phase, offset, y amp, phase, offset
# 0 0 0 1 0 2 1 0 1 1 1 2
correction_x = (
tomo_fit_xray_eye[0][0] * np.sin(np.radians(angle) + tomo_fit_xray_eye[0][1])
+ tomo_fit_xray_eye[0][2]
) / 1000
correction_y = (
tomo_fit_xray_eye[1][0] * np.sin(np.radians(angle) + tomo_fit_xray_eye[1][1])
+ tomo_fit_xray_eye[1][2]
) / 1000
print(f"Xeye correction x {correction_x}, y {correction_y} for angle {angle}\n")
return (correction_x, correction_y)
# ------------------------------------------------------------------
# Additional lookup-table corrections (iteration 1 and 2)
# ------------------------------------------------------------------
def read_additional_correction(self, correction_file: str):
self.corr_pos_x, self.corr_pos_y, self.corr_angle = self._read_correction_file_xy(
correction_file
)
def read_additional_correction_2(self, correction_file: str):
self.corr_pos_x_2, self.corr_pos_y_2, self.corr_angle_2 = self._read_correction_file_xy(
correction_file
)
def _read_correction_file_xy(self, correction_file: str):
"""Parse a correction file that contains corr_pos_x, corr_pos_y and corr_angle entries."""
with open(correction_file, "r") as f:
num_elements = f.readline()
int_num_elements = int(num_elements.split(" ")[2])
print(int_num_elements)
corr_pos_x = []
corr_pos_y = []
corr_angle = []
for j in range(0, int_num_elements * 3):
line = f.readline()
value = line.split(" ")[2]
name = line.split(" ")[0].split("[")[0]
if name == "corr_pos_x":
corr_pos_x.append(float(value) / 1000)
elif name == "corr_pos_y":
corr_pos_y.append(float(value) / 1000)
elif name == "corr_angle":
corr_angle.append(float(value))
return corr_pos_x, corr_pos_y, corr_angle
def compute_additional_correction(self, angle):
return self._compute_correction_xy(
angle, self.corr_pos_x, self.corr_pos_y, self.corr_angle, label="1"
)
def compute_additional_correction_2(self, angle):
return self._compute_correction_xy(
angle, self.corr_pos_x_2, self.corr_pos_y_2, self.corr_angle_2, label="2"
)
def _compute_correction_xy(self, angle, corr_pos_x, corr_pos_y, corr_angle, label=""):
"""Find the correction for the closest angle in the lookup table."""
if not corr_pos_x:
print(f"Not applying additional correction {label}. No data available.\n")
return (0, 0)
shift_x = corr_pos_x[0]
shift_y = corr_pos_y[0]
angledelta = np.fabs(corr_angle[0] - angle)
for j in range(1, len(corr_pos_x)):
newangledelta = np.fabs(corr_angle[j] - angle)
if newangledelta < angledelta:
shift_x = corr_pos_x[j]
shift_y = corr_pos_y[j]
angledelta = newangledelta
if shift_x == 0 and angle < corr_angle[0]:
shift_x = corr_pos_x[0]
shift_y = corr_pos_y[0]
if shift_x == 0 and angle > corr_angle[-1]:
shift_x = corr_pos_x[-1]
shift_y = corr_pos_y[-1]
print(f"Additional correction shifts {label}: {shift_x} {shift_y}")
return (shift_x, shift_y)

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@@ -1,211 +0,0 @@
"""
extra_tomo.py
=============
Specialist LamNI subclasses for specific experimental configurations.
Import explicitly when needed, e.g.:
from csaxs_bec...extra_tomo import MagLamNI
from csaxs_bec...extra_tomo import DataDrivenLamNI
"""
import builtins
import datetime
import os
import time
import h5py
import numpy as np
from bec_lib import bec_logger
from bec_lib.alarm_handler import AlarmBase
from .lamni import LamNI
logger = bec_logger.logger
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
scans = builtins.__dict__.get("scans")
class MagLamNI(LamNI):
"""LamNI subclass for magnetic experiments (XMCD).
Adds a slow rotation helper and allows injection of a custom
per-angle callback via the ``lamni_at_each_angle`` builtin.
"""
def sub_tomo_scan(self, subtomo_number, start_angle=None):
super().sub_tomo_scan(subtomo_number, start_angle)
# self.rotate_slowly(0)
def rotate_slowly(self, angle, step_size=20):
"""Rotate to target angle in small steps to avoid mechanical stress."""
current_angle = dev.lsamrot.read(cached=True)["value"]
steps = int(np.ceil(np.abs(current_angle - angle) / step_size)) + 1
for target_angle in np.linspace(current_angle, angle, steps, endpoint=True):
umv(dev.lsamrot, target_angle)
scans.lamni_move_to_scan_center(
self.align.tomo_fovx_offset, self.align.tomo_fovy_offset, target_angle
)
def _at_each_angle(self, angle: float) -> None:
if "lamni_at_each_angle" in builtins.__dict__:
# pylint: disable=undefined-variable
lamni_at_each_angle(self, angle)
return
self.tomo_scan_projection(angle)
self.tomo_reconstruct()
class DataDrivenLamNI(LamNI):
"""LamNI subclass that reads per-projection scan parameters from an HDF5 file.
Instead of a fixed FOV and step size for the whole tomogram, each
projection can have individual values for step size, loptz position
and lateral shifts, as specified in a datadriven_params.h5 file.
"""
def __init__(self, client):
super().__init__(client)
self.tomo_data = {}
def tomo_scan(
self,
subtomo_start=1,
start_index=None,
fname="~/Data10/data_driven_config/datadriven_params.h5",
):
"""Start a data-driven tomo scan.
Args:
subtomo_start (int): Unused; kept for API compatibility. Use start_index to resume.
start_index (int, optional): Skip projections before this index. Defaults to None.
fname (str): Path to the HDF5 parameter file. Defaults to the standard location.
"""
bec = builtins.__dict__.get("bec")
scans = builtins.__dict__.get("scans")
fname = os.path.expanduser(fname)
if not os.path.exists(fname):
raise FileNotFoundError(f"Could not find datadriven params file in {fname}.")
content = f"Loading tomo parameters from {fname}."
logger.warning(content)
msg = bec.logbook.LogbookMessage()
msg.add_text(content).add_tag(["Data_driven_file", "BEC"])
self.client.logbook.send_logbook_message(msg)
self._update_tomo_data_from_file(fname)
self._current_special_angles = self.special_angles.copy()
if subtomo_start == 1 and start_index is None:
self.tomo_id = self.add_sample_database(
self.sample_name,
str(datetime.date.today()),
bec.active_account.decode(),
bec.queue.next_scan_number,
"lamni",
"test additional info",
"BEC",
)
self.write_pdf_report()
with scans.dataset_id_on_hold:
self.sub_tomo_data_driven(start_index)
def sub_tomo_scan(self, subtomo_number=None, start_angle=None):
raise NotImplementedError(
"Cannot run sub_tomo_scan with DataDrivenLamNI. "
"Use lamni.tomo_scan(start_index=<N>) to resume instead."
)
def _at_each_angle(
self, angle=None, stepsize=None, loptz_pos=None, manual_shift_x=0, manual_shift_y=0
):
self.manual_shift_x = manual_shift_x
self.manual_shift_y = manual_shift_y
self.tomo_shellstep = stepsize
if loptz_pos is not None:
dev.rtx.controller.feedback_disable()
umv(dev.loptz, loptz_pos)
super()._at_each_angle(angle=angle)
def sub_tomo_data_driven(self, start_index=None):
"""Iterate over all projections defined in the loaded HDF5 parameter file."""
for scan_index, scan_data in enumerate(zip(*self.tomo_data.values())):
if start_index and scan_index < start_index:
continue
(
angle,
stepsize,
loptz_pos,
propagation_distance,
manual_shift_x,
manual_shift_y,
subtomo_number,
) = scan_data
bec.metadata.update(
{key: float(val) for key, val in zip(self.tomo_data.keys(), scan_data)}
)
successful = False
error_caught = False
if 0 <= angle < 360.05:
print(f"Starting LamNI scan for angle {angle}")
while not successful:
self._start_beam_check()
if not self.special_angles:
self._current_special_angles = []
if self._current_special_angles:
next_special_angle = self._current_special_angles[0]
if np.isclose(angle, next_special_angle, atol=0.5):
self._current_special_angles.pop(0)
num_repeats = self.special_angle_repeats
else:
num_repeats = 1
try:
start_scan_number = bec.queue.next_scan_number
for i in range(num_repeats):
self._at_each_angle(
float(angle),
stepsize=float(stepsize),
loptz_pos=float(loptz_pos),
manual_shift_x=float(manual_shift_x),
manual_shift_y=float(manual_shift_y),
)
error_caught = False
except AlarmBase as exc:
if exc.alarm_type == "TimeoutError":
bec.queue.request_queue_reset()
time.sleep(2)
error_caught = True
else:
raise exc
if self._was_beam_okay() and not error_caught:
successful = True
else:
self._wait_for_beamline_checks()
end_scan_number = bec.queue.next_scan_number
for scan_nr in range(start_scan_number, end_scan_number):
self._write_tomo_scan_number(scan_nr, angle, subtomo_number)
def _update_tomo_data_from_file(self, fname: str) -> None:
"""Load projection parameters from the HDF5 file into self.tomo_data."""
with h5py.File(fname, "r") as file:
self.tomo_data["theta"] = np.array([*file["theta"]]).flatten()
self.tomo_data["stepsize"] = np.array([*file["stepsize"]]).flatten()
self.tomo_data["loptz"] = np.array([*file["loptz"]]).flatten()
self.tomo_data["propagation_distance"] = np.array(
[*file["relative_propagation_distance"]]
).flatten()
self.tomo_data["manual_shift_x"] = np.array([*file["manual_shift_x"]]).flatten()
self.tomo_data["manual_shift_y"] = np.array([*file["manual_shift_y"]]).flatten()
self.tomo_data["subtomo_id"] = np.array([*file["subtomo_id"]]).flatten()
shapes = [data.shape for data in self.tomo_data.values()]
if len(set(shapes)) > 1:
raise ValueError(f"Tomo data file has entries of inconsistent lengths: {shapes}.")

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View File

@@ -6,42 +6,39 @@ from rich.console import Console
from rich.table import Table
from csaxs_bec.bec_ipython_client.plugins.cSAXS import epics_put, fshclose
from csaxs_bec.bec_ipython_client.plugins.omny.omny_general_tools import OMNYTools
# import builtins to avoid linter errors
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
bec = builtins.__dict__.get("bec")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class LamNIInitError(Exception):
pass
class LaMNIInitStages:
"""Handles hardware initialization and referencing of LamNI stages."""
def __init__(self, client):
super().__init__()
self.client = client
self.OMNYTools = OMNYTools(self.client)
class LaMNIInitStagesMixin:
def lamni_init_stages(self):
if self.OMNYTools.yesno("Start initialization of LamNI stages. OK?"):
print("starting...")
user_input = input("Starting initialization of LamNI stages. OK? [y/n]")
if user_input == "y":
print("staring...")
dev.lsamrot.enabled = True
else:
return
if self.check_all_axes_of_lamni_referenced():
if self.OMNYTools.yesno("All axes are referenced. Continue anyways?"):
user_input = input("Continue anyways? [y/n]")
if user_input == "y":
print("ok then...")
else:
return
axis_id_lsamrot = dev.lsamrot._config["deviceConfig"].get("axis_Id")
if dev.lsamrot.controller.get_motor_limit_switch(axis_id_lsamrot)[1] == False:
if self.OMNYTools.yesno("The rotation stage will be moved to one limit"):
user_input = input("The rotation stage will be moved to one limit [y/n]")
if user_input == "y":
print("starting...")
else:
return
@@ -52,9 +49,10 @@ class LaMNIInitStages:
print("The controller will be disabled in bec. To enable dev.lsamrot.enabled=True")
return
if self.OMNYTools.yesno(
"Init of loptz. Can the stage move to the upstream limit without collision?"
):
user_input = input(
"Init of loptz. Can the stage move to the upstream limit without collision?? [y/n]"
)
if user_input == "y":
print("ok then...")
else:
return
@@ -79,14 +77,14 @@ class LaMNIInitStages:
self.drive_axis_to_limit(dev.lsamy, "reverse")
self.find_reference_mark(dev.lsamy)
# the dual encoder requires the reference mark to pass on both encoders
print("Referencing lsamrot")
self.drive_axis_to_limit(dev.lsamrot, "reverse")
time.sleep(0.1)
self.find_reference_mark(dev.lsamrot)
if self.OMNYTools.yesno(
"Init of leye. Can the stage move to -x limit without collision?"
):
user_input = input("Init of leye. Can the stage move to -x limit without collision? [y/n]")
if user_input == "y":
print("starting...")
else:
return
@@ -96,6 +94,15 @@ class LaMNIInitStages:
print("Referencing leyey")
self.drive_axis_to_limit(dev.leyey, "forward")
# set_lm lsamx 6 14
# set_lm lsamy 6 14
# set_lm lsamrot -3 362
# set_lm loptx -1 -0.2
# set_lm lopty 3.0 3.6
# set_lm loptz 82 87
# set_lm leyex 0 25
# set_lm leyey 0.5 50
print("Init of Smaract stages")
dev.losax.controller.find_reference_mark(2, 0, 1000, 1)
time.sleep(1)
@@ -103,6 +110,15 @@ class LaMNIInitStages:
time.sleep(1)
dev.losax.controller.find_reference_mark(1, 0, 1000, 1)
time.sleep(1)
# dev.losax.controller.find_reference_mark(3, 1, 1000, 1)
# time.sleep(1)
# dev.losax.controller.find_reference_mark(4, 1, 1000, 1)
# time.sleep(1)
# set_lm losax -1.5 0.25
# set_lm losay -2.5 4.1
# set_lm losaz -4.1 -0.5
# set_lm lcsy -1.5 5
self._align_setup()
@@ -120,7 +136,8 @@ class LaMNIInitStages:
return ord(axis_id.lower()) - 97
def _align_setup(self):
if self.OMNYTools.yesno("Start moving stages to default initial positions?"):
user_input = input("Start moving stages to default initial positions? [y/n]")
if user_input == "y":
print("Start moving stages...")
else:
print("Stopping.")
@@ -159,8 +176,6 @@ class LaMNIInitStages:
class LamNIOpticsMixin:
"""Optics movement methods: FZP, OSA, central stop and X-ray eye."""
@staticmethod
def _get_user_param_safe(device, var):
param = dev[device].user_parameter
@@ -175,11 +190,13 @@ class LamNIOpticsMixin:
umv(dev.leyey, leyey_out)
epics_put("XOMNYI-XEYE-ACQ:0", 2)
# move rotation stage to zero to avoid problems with wires
umv(dev.lsamrot, 0)
umv(dev.dttrz, 5854, dev.fttrz, 2395)
def leye_in(self):
bec.queue.next_dataset_number += 1
# move rotation stage to zero to avoid problems with wires
umv(dev.lsamrot, 0)
umv(dev.dttrz, 6419.677, dev.fttrz, 2959.979)
while True:
@@ -196,10 +213,15 @@ class LamNIOpticsMixin:
def _lfzp_in(self):
loptx_in = self._get_user_param_safe("loptx", "in")
lopty_in = self._get_user_param_safe("lopty", "in")
umv(dev.loptx, loptx_in, dev.lopty, lopty_in)
umv(
dev.loptx, loptx_in, dev.lopty, lopty_in
) # for 7.2567 keV and 150 mu, 60 nm fzp, loptz 83.6000 for propagation 1.4 mm
def lfzp_in(self):
"""Move in the LamNI zone plate, disabling/re-enabling RT feedback around the move."""
"""
move in the lamni zone plate.
This will disable rt feedback, move the FZP and re-enabled the feedback.
"""
if "rtx" in dev and dev.rtx.enabled:
dev.rtx.controller.feedback_disable()
@@ -209,15 +231,18 @@ class LamNIOpticsMixin:
dev.rtx.controller.feedback_enable_with_reset()
def loptics_in(self):
"""Move in the LamNI optics (FZP + OSA)."""
"""
Move in the lamni optics, including the FZP and the OSA.
"""
self.lfzp_in()
self.losa_in()
def loptics_out(self):
"""Move out the LamNI optics."""
"""Move out the lamni optics"""
if "rtx" in dev and dev.rtx.enabled:
dev.rtx.controller.feedback_disable()
# self.lcs_out()
self.losa_out()
loptx_out = self._get_user_param_safe("loptx", "out")
lopty_out = self._get_user_param_safe("lopty", "out")
@@ -228,17 +253,28 @@ class LamNIOpticsMixin:
dev.rtx.controller.feedback_enable_with_reset()
def lcs_in(self):
# umv lcsx -1.852 lcsy -0.095
pass
def lcs_out(self):
umv(dev.lcsy, 3)
def losa_in(self):
# 6.2 keV, 170 um FZP
# umv(dev.losax, -1.4450000, dev.losay, -0.1800)
# umv(dev.losaz, -1)
# 6.7, 170
# umv(dev.losax, -1.4850, dev.losay, -0.1930)
# umv(dev.losaz, 1.0000)
# 7.2, 150
losax_in = self._get_user_param_safe("losax", "in")
losay_in = self._get_user_param_safe("losay", "in")
losaz_in = self._get_user_param_safe("losaz", "in")
umv(dev.losax, losax_in, dev.losay, losay_in)
umv(dev.losaz, losaz_in)
# 11 kev
# umv(dev.losax, -1.161000, dev.losay, -0.196)
# umv(dev.losaz, 1.0000)
def losa_out(self):
losay_out = self._get_user_param_safe("losay", "out")
@@ -247,10 +283,11 @@ class LamNIOpticsMixin:
umv(dev.losay, losay_out)
def lfzp_info(self, mokev_val=-1):
if mokev_val == -1:
try:
mokev_val = dev.mokev.readback.get()
except Exception:
except:
print(
"Device mokev does not exist. You can specify the energy in keV as an argument instead."
)
@@ -285,6 +322,10 @@ class LamNIOpticsMixin:
)
console.print(table)
print("OSA Information:")
# print(f"Current losaz %.1f\n", A[losaz])
# print("The OSA will collide with the sample plane at %.1f\n\n", 89.3-A[loptz])
print(
"The numbers presented here are for a sample in the plane of the lamni sample holder.\n"
)

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@@ -0,0 +1,22 @@
def lamni_read_additional_correction():
# "additional_correction_shift"
# [0][] x , [1][] y, [2][] angle, [3][0] number of elements
with open("correction_lamni_um_S01405_.txt", "r") as f:
num_elements = f.readline()
int_num_elements = int(num_elements.split(" ")[2])
print(int_num_elements)
corr_pos_x = []
corr_pos_y = []
corr_angle = []
for j in range(0, int_num_elements * 3):
line = f.readline()
value = line.split(" ")[2]
name = line.split(" ")[0].split("[")[0]
if name == "corr_pos_x":
corr_pos_x.append(value)
elif name == "corr_pos_y":
corr_pos_y.append(value)
elif name == "corr_angle":
corr_angle.append(value)
return (corr_pos_x, corr_pos_y, corr_angle, num_elements)

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@@ -0,0 +1,443 @@
"""
csaxs_dlpca200.py
=================
BEC control script for FEMTO DLPCA-200 Variable Gain Low Noise Current Amplifiers
connected to Galil RIO digital outputs.
DLPCA-200 Remote Control (datasheet page 4)
-------------------------------------------
Sub-D pin → function:
Pin 10 → gain LSB (digital out channel, index 0 in bit-tuple)
Pin 11 → gain MID (digital out channel, index 1 in bit-tuple)
Pin 12 → gain MSB (digital out channel, index 2 in bit-tuple)
Pin 13 → coupling LOW = AC, HIGH = DC
Pin 14 → speed mode HIGH = low noise (Pin14=1), LOW = high speed (Pin14=0)
Gain truth table (MSB, MID, LSB):
0,0,0 → low-noise: 1e3 high-speed: 1e5
0,0,1 → low-noise: 1e4 high-speed: 1e6
0,1,0 → low-noise: 1e5 high-speed: 1e7
0,1,1 → low-noise: 1e6 high-speed: 1e8
1,0,0 → low-noise: 1e7 high-speed: 1e9
1,0,1 → low-noise: 1e8 high-speed: 1e10
1,1,0 → low-noise: 1e9 high-speed: 1e11
Strategy: prefer low-noise mode (1e31e9). For 1e10 and 1e11,
automatically fall back to high-speed mode.
Device wiring example (galilrioesxbox):
bpm4: Pin10→ch0, Pin11→ch1, Pin12→ch2, Pin13→ch3, Pin14→ch4
bim: Pin10→ch6, Pin11→ch7, Pin12→ch8, Pin13→ch9, Pin14→ch10
Usage examples
--------------
csaxs_amp = cSAXSDLPCA200(client)
csaxs_amp.set_gain("bpm4", 1e7) # low-noise if possible
csaxs_amp.set_gain("bim", 1e10) # auto high-speed
csaxs_amp.set_coupling("bpm4", "DC")
csaxs_amp.set_coupling("bim", "AC")
csaxs_amp.info("bpm4") # print current settings
csaxs_amp.info_all() # print all configured amplifiers
"""
import builtins
from bec_lib import bec_logger
logger = bec_logger.logger
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
# ---------------------------------------------------------------------------
# Amplifier registry
# ---------------------------------------------------------------------------
# Each entry describes one DLPCA-200 amplifier connected to a Galil RIO.
#
# Keys inside "channels":
# gain_lsb → digital output channel number wired to DLPCA-200 Pin 10
# gain_mid → digital output channel number wired to DLPCA-200 Pin 11
# gain_msb → digital output channel number wired to DLPCA-200 Pin 12
# coupling → digital output channel number wired to DLPCA-200 Pin 13
# speed_mode → digital output channel number wired to DLPCA-200 Pin 14
#
# To add a new amplifier, simply extend this dict.
# ---------------------------------------------------------------------------
DLPCA200_AMPLIFIER_CONFIG: dict[str, dict] = {
"bpm4": {
"rio_device": "galilrioesxbox",
"description": "Beam Position Monitor 4 current amplifier",
"channels": {
"gain_lsb": 0, # Pin 10 → Galil ch0
"gain_mid": 1, # Pin 11 → Galil ch1
"gain_msb": 2, # Pin 12 → Galil ch2
"coupling": 3, # Pin 13 → Galil ch3
"speed_mode": 4, # Pin 14 → Galil ch4
},
},
"bim": {
"rio_device": "galilrioesxbox",
"description": "Beam Intensity Monitor current amplifier",
"channels": {
"gain_lsb": 6, # Pin 10 → Galil ch6
"gain_mid": 7, # Pin 11 → Galil ch7
"gain_msb": 8, # Pin 12 → Galil ch8
"coupling": 9, # Pin 13 → Galil ch9
"speed_mode": 10, # Pin 14 → Galil ch10
},
},
}
# ---------------------------------------------------------------------------
# DLPCA-200 gain encoding tables
# ---------------------------------------------------------------------------
# (msb, mid, lsb) → gain in V/A
_GAIN_BITS_LOW_NOISE: dict[tuple, int] = {
(0, 0, 0): int(1e3),
(0, 0, 1): int(1e4),
(0, 1, 0): int(1e5),
(0, 1, 1): int(1e6),
(1, 0, 0): int(1e7),
(1, 0, 1): int(1e8),
(1, 1, 0): int(1e9),
}
_GAIN_BITS_HIGH_SPEED: dict[tuple, int] = {
(0, 0, 0): int(1e5),
(0, 0, 1): int(1e6),
(0, 1, 0): int(1e7),
(0, 1, 1): int(1e8),
(1, 0, 0): int(1e9),
(1, 0, 1): int(1e10),
(1, 1, 0): int(1e11),
}
# Inverse maps: gain → (msb, mid, lsb, low_noise_flag)
# low_noise_flag: True = Pin14 HIGH, False = Pin14 LOW
_GAIN_TO_BITS: dict[int, tuple] = {}
for _bits, _gain in _GAIN_BITS_LOW_NOISE.items():
_GAIN_TO_BITS[_gain] = (*_bits, True)
for _bits, _gain in _GAIN_BITS_HIGH_SPEED.items():
if _gain not in _GAIN_TO_BITS: # low-noise takes priority
_GAIN_TO_BITS[_gain] = (*_bits, False)
VALID_GAINS = sorted(_GAIN_TO_BITS.keys())
class cSAXSDLPCA200Error(Exception):
pass
class cSAXSDLPCA200:
"""
Control class for FEMTO DLPCA-200 current amplifiers connected via Galil RIO
digital outputs in a BEC environment.
Supports:
- Forward control: set_gain(), set_coupling()
- Readback reporting: info(), info_all(), read_settings()
- Robust error handling and logging following cSAXS conventions.
"""
TAG = "[DLPCA200]"
def __init__(self, client, config: dict | None = None) -> None:
"""
Parameters
----------
client : BEC client object (passed through for future use)
config : optional override for DLPCA200_AMPLIFIER_CONFIG.
Falls back to the module-level dict if not provided.
"""
self.client = client
self._config: dict[str, dict] = config if config is not None else DLPCA200_AMPLIFIER_CONFIG
# ------------------------------------------------------------------
# Internal helpers
# ------------------------------------------------------------------
def _require_dev(self) -> None:
if dev is None:
raise cSAXSDLPCA200Error(
f"{self.TAG} BEC 'dev' namespace is not available in this session."
)
def _get_cfg(self, amp_name: str) -> dict:
"""Return config dict for a named amplifier, raising on unknown names."""
if amp_name not in self._config:
known = ", ".join(sorted(self._config.keys()))
raise cSAXSDLPCA200Error(
f"{self.TAG} Unknown amplifier '{amp_name}'. Known: [{known}]"
)
return self._config[amp_name]
def _get_rio(self, amp_name: str):
"""Return the live RIO device object for a given amplifier."""
self._require_dev()
cfg = self._get_cfg(amp_name)
rio_name = cfg["rio_device"]
try:
rio = getattr(dev, rio_name)
except AttributeError:
raise cSAXSDLPCA200Error(
f"{self.TAG} RIO device '{rio_name}' not found in BEC 'dev'."
)
return rio
def _dout_get(self, rio, ch: int) -> int:
"""Read one digital output channel (returns 0 or 1)."""
attr = getattr(rio.digital_out, f"ch{ch}")
val = attr.get()
return int(val)
def _dout_set(self, rio, ch: int, value: bool) -> None:
"""Write one digital output channel (True=HIGH=1, False=LOW=0)."""
attr = getattr(rio.digital_out, f"ch{ch}")
attr.set(value)
def _read_gain_bits(self, amp_name: str) -> tuple[int, int, int, int]:
"""
Read current gain bit-state from hardware.
Returns
-------
(msb, mid, lsb, speed_mode)
speed_mode: 1 = low-noise (Pin14=HIGH), 0 = high-speed (Pin14=LOW)
"""
rio = self._get_rio(amp_name)
ch = self._get_cfg(amp_name)["channels"]
msb = self._dout_get(rio, ch["gain_msb"])
mid = self._dout_get(rio, ch["gain_mid"])
lsb = self._dout_get(rio, ch["gain_lsb"])
speed_mode = self._dout_get(rio, ch["speed_mode"])
return msb, mid, lsb, speed_mode
def _decode_gain(self, msb: int, mid: int, lsb: int, speed_mode: int) -> int | None:
"""
Decode hardware bit-state into gain value (V/A).
speed_mode=1 → low-noise table, speed_mode=0 → high-speed table.
Returns None if the bit combination is not in the table.
"""
bits = (msb, mid, lsb)
if speed_mode:
return _GAIN_BITS_LOW_NOISE.get(bits)
else:
return _GAIN_BITS_HIGH_SPEED.get(bits)
# ------------------------------------------------------------------
# Public API control
# ------------------------------------------------------------------
def set_gain(self, amp_name: str, gain: float, force_high_speed: bool = False) -> None:
"""
Set the transimpedance gain of a DLPCA-200 amplifier.
The method automatically selects low-noise mode (Pin14=HIGH) whenever
the requested gain is achievable in low-noise mode (1e3 1e9 V/A).
For gains of 1e10 and 1e11 V/A, high-speed mode is used automatically.
Parameters
----------
amp_name : str
Amplifier name as defined in DLPCA200_AMPLIFIER_CONFIG (e.g. "bpm4").
gain : float or int
Target gain in V/A. Must be one of:
1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9, 1e10, 1e11.
force_high_speed : bool, optional
If True, force high-speed (low-noise=False) mode even for gains
below 1e10. Default: False (prefer low-noise).
Examples
--------
csaxs_amp.set_gain("bpm4", 1e7) # low-noise mode (automatic)
csaxs_amp.set_gain("bim", 1e10) # high-speed mode (automatic)
csaxs_amp.set_gain("bpm4", 1e7, force_high_speed=True) # override to high-speed
"""
gain_int = int(gain)
if gain_int not in _GAIN_TO_BITS:
valid_str = ", ".join(f"1e{int(round(__import__('math').log10(g)))}" for g in VALID_GAINS)
raise cSAXSDLPCA200Error(
f"{self.TAG} Invalid gain {gain:.2e} V/A for '{amp_name}'. "
f"Valid values: {valid_str}"
)
msb, mid, lsb, low_noise_preferred = _GAIN_TO_BITS[gain_int]
# Apply force_high_speed override
if force_high_speed and low_noise_preferred:
# Check if this gain is achievable in high-speed mode
hs_entry = next(
(bits for bits, g in _GAIN_BITS_HIGH_SPEED.items() if g == gain_int), None
)
if hs_entry is None:
raise cSAXSDLPCA200Error(
f"{self.TAG} Gain {gain:.2e} V/A is not achievable in high-speed mode "
f"for '{amp_name}'."
)
msb, mid, lsb = hs_entry
low_noise_preferred = False
use_low_noise = low_noise_preferred and not force_high_speed
try:
rio = self._get_rio(amp_name)
ch = self._get_cfg(amp_name)["channels"]
self._dout_set(rio, ch["gain_msb"], bool(msb))
self._dout_set(rio, ch["gain_mid"], bool(mid))
self._dout_set(rio, ch["gain_lsb"], bool(lsb))
self._dout_set(rio, ch["speed_mode"], use_low_noise) # True=low-noise
mode_str = "low-noise" if use_low_noise else "high-speed"
logger.info(
f"{self.TAG} [{amp_name}] gain set to {gain_int:.2e} V/A "
f"({mode_str} mode, bits MSB={msb} MID={mid} LSB={lsb})"
)
print(
f"{amp_name}: gain → {gain_int:.2e} V/A [{mode_str}] "
f"(bits: MSB={msb} MID={mid} LSB={lsb})"
)
except cSAXSDLPCA200Error:
raise
except Exception as exc:
raise cSAXSDLPCA200Error(
f"{self.TAG} Failed to set gain on '{amp_name}': {exc}"
) from exc
def set_coupling(self, amp_name: str, coupling: str) -> None:
"""
Set AC or DC coupling on a DLPCA-200 amplifier.
Parameters
----------
amp_name : str
Amplifier name (e.g. "bpm4", "bim").
coupling : str
"AC" or "DC" (case-insensitive).
DC → Pin13 HIGH, AC → Pin13 LOW.
Examples
--------
csaxs_amp.set_coupling("bpm4", "DC")
csaxs_amp.set_coupling("bim", "AC")
"""
coupling_upper = coupling.strip().upper()
if coupling_upper not in ("AC", "DC"):
raise cSAXSDLPCA200Error(
f"{self.TAG} Invalid coupling '{coupling}' for '{amp_name}'. "
f"Use 'AC' or 'DC'."
)
pin13_high = coupling_upper == "DC"
try:
rio = self._get_rio(amp_name)
ch = self._get_cfg(amp_name)["channels"]
self._dout_set(rio, ch["coupling"], pin13_high)
logger.info(f"{self.TAG} [{amp_name}] coupling set to {coupling_upper}")
print(f"{amp_name}: coupling → {coupling_upper}")
except cSAXSDLPCA200Error:
raise
except Exception as exc:
raise cSAXSDLPCA200Error(
f"{self.TAG} Failed to set coupling on '{amp_name}': {exc}"
) from exc
# ------------------------------------------------------------------
# Public API readback / reporting
# ------------------------------------------------------------------
def read_settings(self, amp_name: str) -> dict:
"""
Read back the current settings from hardware digital outputs.
Returns
-------
dict with keys:
"amp_name" : str
"gain" : int or None gain in V/A (None if unknown bit pattern)
"mode" : str "low-noise" or "high-speed"
"coupling" : str "AC" or "DC"
"bits" : dict raw bit values {msb, mid, lsb, speed_mode, coupling}
"""
rio = self._get_rio(amp_name)
ch = self._get_cfg(amp_name)["channels"]
msb = self._dout_get(rio, ch["gain_msb"])
mid = self._dout_get(rio, ch["gain_mid"])
lsb = self._dout_get(rio, ch["gain_lsb"])
speed_mode = self._dout_get(rio, ch["speed_mode"])
coupling_bit = self._dout_get(rio, ch["coupling"])
gain = self._decode_gain(msb, mid, lsb, speed_mode)
mode = "low-noise" if speed_mode else "high-speed"
coupling = "DC" if coupling_bit else "AC"
return {
"amp_name": amp_name,
"gain": gain,
"mode": mode,
"coupling": coupling,
"bits": {
"msb": msb,
"mid": mid,
"lsb": lsb,
"speed_mode": speed_mode,
"coupling": coupling_bit,
},
}
def info(self, amp_name: str) -> None:
"""
Print a plain summary of the current settings for one amplifier.
Example output
--------------
Amplifier : bpm4
Description : Beam Position Monitor 4 current amplifier
RIO device : galilrioesxbox
Gain : 1.00e+07 V/A
Mode : low-noise
Coupling : DC
Raw bits : MSB=1 MID=0 LSB=0 speed=1 coup=1
"""
cfg = self._get_cfg(amp_name)
try:
s = self.read_settings(amp_name)
except Exception as exc:
print(f"{self.TAG} [{amp_name}] Could not read settings: {exc}")
return
gain_str = (
f"{s['gain']:.2e} V/A" if s["gain"] is not None else "UNKNOWN (invalid bit pattern)"
)
bits = s["bits"]
print(f" {'Amplifier':<12}: {amp_name}")
print(f" {'Description':<12}: {cfg.get('description', '')}")
print(f" {'RIO device':<12}: {cfg['rio_device']}")
print(f" {'Gain':<12}: {gain_str}")
print(f" {'Mode':<12}: {s['mode']}")
print(f" {'Coupling':<12}: {s['coupling']}")
print(f" {'Raw bits':<12}: MSB={bits['msb']} MID={bits['mid']} LSB={bits['lsb']} speed={bits['speed_mode']} coup={bits['coupling']}")
def info_all(self) -> None:
"""
Print a plain summary for ALL configured amplifiers.
"""
print("\nDLPCA-200 Amplifier Status Report")
print("-" * 40)
for amp_name in sorted(self._config.keys()):
self.info(amp_name)
print()
def list_amplifiers(self) -> list[str]:
"""Return sorted list of configured amplifier names."""
return sorted(self._config.keys())

View File

@@ -41,8 +41,10 @@ import builtins
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class cSAXSFilterTransmission:
"""

View File

@@ -8,11 +8,14 @@ from bec_lib import bec_logger
logger = bec_logger.logger
# Pull BEC globals if present
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class cSAXSInitSmaractStagesError(Exception):
pass
@@ -383,7 +386,6 @@ class cSAXSInitSmaractStages:
if not self._yesno("Proceed with the motions listed above?", "y"):
logger.info("[cSAXS] Motion to initial position aborted by user.")
return
# --- Execution phase (SIMULTANEOUS MOTION) ---
if umv is None:
logger.error("[cSAXS] 'umv' is not available in this session.")

View File

@@ -22,8 +22,10 @@ logger = bec_logger.logger
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class FlomniToolsError(Exception):
@@ -35,32 +37,32 @@ class FlomniInitError(Exception):
class FlomniError(Exception):
pass
# class FlomniTools:
# def yesno(self, message: str, default="none", autoconfirm=0) -> bool:
# if autoconfirm and default == "y":
# self.printgreen(message + " Automatically confirming default: yes")
# return True
# elif autoconfirm and default == "n":
# self.printgreen(message + " Automatically confirming default: no")
# return False
# if default == "y":
# message_ending = " [Y]/n? "
# elif default == "n":
# message_ending = " y/[N]? "
# else:
# message_ending = " y/n? "
# while True:
# user_input = input(self.OKBLUE + message + message_ending + self.ENDC)
# if (
# user_input == "Y" or user_input == "y" or user_input == "yes" or user_input == "Yes"
# ) or (default == "y" and user_input == ""):
# return True
# if (
# user_input == "N" or user_input == "n" or user_input == "no" or user_input == "No"
# ) or (default == "n" and user_input == ""):
# return False
# else:
# print("Please expicitely confirm y or n.")
class FlomniTools:
def yesno(self, message: str, default="none", autoconfirm=0) -> bool:
if autoconfirm and default == "y":
self.printgreen(message + " Automatically confirming default: yes")
return True
elif autoconfirm and default == "n":
self.printgreen(message + " Automatically confirming default: no")
return False
if default == "y":
message_ending = " [Y]/n? "
elif default == "n":
message_ending = " y/[N]? "
else:
message_ending = " y/n? "
while True:
user_input = input(self.OKBLUE + message + message_ending + self.ENDC)
if (
user_input == "Y" or user_input == "y" or user_input == "yes" or user_input == "Yes"
) or (default == "y" and user_input == ""):
return True
if (
user_input == "N" or user_input == "n" or user_input == "no" or user_input == "No"
) or (default == "n" and user_input == ""):
return False
else:
print("Please expicitely confirm y or n.")

View File

@@ -7,8 +7,10 @@ from bec_widgets.cli.client import BECDockArea
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class flomniGuiToolsError(Exception):

View File

@@ -13,8 +13,10 @@ logger = bec_logger.logger
# import builtins to avoid linter errors
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
if TYPE_CHECKING:
from bec_ipython_client.plugins.flomni import Flomni

View File

@@ -7,8 +7,10 @@ from bec_widgets.cli.client import BECDockArea
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class OMNYGuiToolsError(Exception):

View File

@@ -27,9 +27,10 @@ logger = bec_logger.logger
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class OMNYInitError(Exception):
pass

View File

@@ -16,8 +16,10 @@ from rich.table import Table
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class OMNYToolsError(Exception):

View File

@@ -16,8 +16,10 @@ from csaxs_bec.bec_ipython_client.plugins.cSAXS import epics_get, epics_put, fsh
if builtins.__dict__.get("bec") is not None:
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
class OMNYTransferError(Exception):

View File

@@ -13,8 +13,10 @@ logger = bec_logger.logger
# import builtins to avoid linter errors
bec = builtins.__dict__.get("bec")
dev = builtins.__dict__.get("dev")
umv = builtins.__dict__.get("umv")
umvr = builtins.__dict__.get("umvr")
scans = builtins.__dict__.get("scans")
def umv(*args):
return scans.umv(*args, relative=False)
if TYPE_CHECKING:
from bec_ipython_client.plugins.omny import OMNY

View File

@@ -30,29 +30,74 @@ logger = bec_logger.logger
logger.info("Using the cSAXS startup script.")
# pylint: disable=import-error
_args = _main_dict["args"]
_session_name = "cSAXS"
if _args.session.lower() == "lamni":
from csaxs_bec.bec_ipython_client.plugins.cSAXS import *
from csaxs_bec.bec_ipython_client.plugins.LamNI import *
_session_name = "LamNI"
lamni = LamNI(bec)
logger.success("LamNI session loaded.")
elif _args.session.lower() == "csaxs":
print("Loading cSAXS session")
from csaxs_bec.bec_ipython_client.plugins.cSAXS import *
logger.success("cSAXS session loaded.")
from csaxs_bec.bec_ipython_client.plugins.tool_box.debug_tools import DebugTools
debug = DebugTools()
logger.success("Debug tools loaded. Use 'debug' to access them.")
# pylint: disable=import-error
_args = _main_dict["args"]
_session_name = "cSAXS"
print("Loading cSAXS session")
from csaxs_bec.bec_ipython_client.plugins.cSAXS.cSAXS import cSAXS
csaxs = cSAXS(bec)
logger.success("cSAXS session loaded.")
if _args.session.lower() == "lamni":
from csaxs_bec.bec_ipython_client.plugins.LamNI import LamNI
_session_name = "LamNI"
lamni = LamNI(bec)
logger.success("LamNI session loaded.")
print(r"""
██████╗ ███████╗ ██████╗ ██╗ █████╗ ███╗ ███╗███╗ ██╗██╗
██╔══██╗██╔════╝██╔════╝ ██║ ██╔══██╗████╗ ████║████╗ ██║██║
██████╔╝█████╗ ██║ ██║ ███████║██╔████╔██║██╔██╗ ██║██║
██╔══██╗██╔══╝ ██║ ██║ ██╔══██║██║╚██╔╝██║██║╚██╗██║██║
██████╔╝███████╗╚██████╗ ███████╗██║ ██║██║ ╚═╝ ██║██║ ╚████║██║
╚═════╝ ╚══════╝ ╚═════╝ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝
B E C L a m N I
""")
elif _args.session.lower() == "omny":
from csaxs_bec.bec_ipython_client.plugins.flomni import OMNY
_session_name = "OMNY"
omny = OMNY(bec)
logger.success("OMNY session loaded.")
print(r"""
██████╗ ███████╗ ██████╗ ██████╗ ███╗ ███╗███╗ ██╗██╗ ██╗
██╔══██╗██╔════╝██╔════╝ ██╔═══██╗████╗ ████║████╗ ██║╚██╗ ██╔╝
██████╔╝█████╗ ██║ ██║ ██║██╔████╔██║██╔██╗ ██║ ╚████╔╝
██╔══██╗██╔══╝ ██║ ██║ ██║██║╚██╔╝██║██║╚██╗██║ ╚██╔╝
██████╔╝███████╗╚██████╗ ╚██████╔╝██║ ╚═╝ ██║██║ ╚████║ ██║
╚═════╝ ╚══════╝ ╚═════╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═══╝ ╚═╝
B E C O M N Y
""")
elif _args.session.lower() == "flomni":
from csaxs_bec.bec_ipython_client.plugins.flomni import Flomni
_session_name = "flomni"
flomni = Flomni(bec)
logger.success("flomni session loaded.")
print(r"""
██████╗ ███████╗ ██████╗ ███████╗██╗ ██████╗ ███╗ ███╗███╗ ██╗██╗
██╔══██╗██╔════╝██╔════╝ ██╔════╝██║ ██╔═══██╗████╗ ████║████╗ ██║██║
██████╔╝█████╗ ██║ █████╗ ██║ ██║ ██║██╔████╔██║██╔██╗ ██║██║
██╔══██╗██╔══╝ ██║ ██╔══╝ ██║ ██║ ██║██║╚██╔╝██║██║╚██╗██║██║
██████╔╝███████╗╚██████╗ ██║ ███████╗╚██████╔╝██║ ╚═╝ ██║██║ ╚████║██║
╚═════╝ ╚══════╝ ╚═════╝ ╚═╝ ╚══════╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝
B E C f l O M N I
""")
# SETUP BEAMLINE INFO
from bec_ipython_client.plugins.SLS.sls_info import OperatorInfo, SLSInfo

View File

@@ -9,27 +9,27 @@ eiger_1_5:
readoutPriority: async
softwareTrigger: False
eiger_9:
description: Eiger 9M detector
deviceClass: csaxs_bec.devices.jungfraujoch.eiger_9m.Eiger9M
deviceConfig:
detector_distance: 100
beam_center: [0, 0]
onFailure: raise
enabled: true
readoutPriority: async
softwareTrigger: False
# eiger_9:
# description: Eiger 9M detector
# deviceClass: csaxs_bec.devices.jungfraujoch.eiger_9m.Eiger9M
# deviceConfig:
# detector_distance: 100
# beam_center: [0, 0]
# onFailure: raise
# enabled: true
# readoutPriority: async
# softwareTrigger: False
ids_cam:
description: IDS camera for live image acquisition
deviceClass: csaxs_bec.devices.ids_cameras.IDSCamera
deviceConfig:
camera_id: 201
bits_per_pixel: 24
m_n_colormode: 1
live_mode: True
onFailure: raise
enabled: true
readoutPriority: async
softwareTrigger: True
# ids_cam:
# description: IDS camera for live image acquisition
# deviceClass: csaxs_bec.devices.ids_cameras.IDSCamera
# deviceConfig:
# camera_id: 201
# bits_per_pixel: 24
# m_n_colormode: 1
# live_mode: True
# onFailure: raise
# enabled: true
# readoutPriority: async
# softwareTrigger: True

View File

@@ -0,0 +1,25 @@
############################################################
##################### EPS ##################################
############################################################
x12saEPS:
description: X12SA EPS info and control
deviceClass: csaxs_bec.devices.epics.eps.EPS
deviceConfig: {}
enabled: true
onFailure: buffer
readOnly: false
readoutPriority: baseline
############################################################
##################### GalilRIO #############################
############################################################
galilrioesxbox:
description: Galil RIO for remote gain switching and slow reading ES XBox
deviceClass: csaxs_bec.devices.omny.galil.galil_rio.GalilRIO
deviceConfig:
host: galilrioesxbox.psi.ch
enabled: true
onFailure: raise
readOnly: false
readoutPriority: baseline
connectionTimeout: 20

View File

@@ -1,11 +1,11 @@
# This is the main configuration file that is
# commented or uncommented according to the type of experiment
optics:
- !include ./bl_optics_hutch.yaml
# optics:
# - !include ./bl_optics_hutch.yaml
frontend:
- !include ./bl_frontend.yaml
# frontend:
# - !include ./bl_frontend.yaml
endstation:
- !include ./bl_endstation.yaml
@@ -16,8 +16,8 @@ detectors:
#sastt:
# - !include ./sastt.yaml
#flomni:
# - !include ./ptycho_flomni.yaml
flomni:
- !include ./ptycho_flomni.yaml
#omny:
# - !include ./ptycho_omny.yaml

View File

@@ -471,7 +471,7 @@ omnyfsh:
#################### GUI Signals ###########################
############################################################
omny_xray_gui:
description: Gui Epics signals
description: Gui signals
deviceClass: csaxs_bec.devices.omny.xray_epics_gui.OMNYXRayEpicsGUI
deviceConfig: {}
enabled: true
@@ -486,4 +486,25 @@ calculated_signal:
compute_method: "def just_rand():\n return 42"
enabled: true
readOnly: false
readoutPriority: baseline
readoutPriority: baseline
############################################################
#################### OMNY Pandabox #########################
############################################################
omny_panda:
readoutPriority: async
deviceClass: csaxs_bec.devices.panda_box.panda_box_omny.PandaBoxOMNY
deviceConfig:
host: omny-panda.psi.ch
signal_alias:
FMC_IN.VAL1.Min: cap_voltage_fzp_y_min
FMC_IN.VAL1.Max: cap_voltage_fzp_y_max
FMC_IN.VAL1.Mean: cap_voltage_fzp_y_mean
FMC_IN.VAL2.Min: cap_voltage_fzp_x_min
FMC_IN.VAL2.Max: cap_voltage_fzp_x_max
FMC_IN.VAL2.Mean: cap_voltage_fzp_x_mean
deviceTags:
- detector
enabled: true
readOnly: false
softwareTrigger: false

View File

@@ -25,34 +25,6 @@ logger = bec_logger.logger
class LamniGalilController(GalilController):
# ============================================================
# Error status
# ============================================================
caperr_bits = {
0x01: "Cap1 outside expected left-stop range (early check)",
0x02: "Cap2 outside expected left-stop range (early check)",
0x04: "Cap1 too low during pressure-off check (near right boundary)",
0x08: "Cap2 too low during pressure-off check (near right boundary)",
0x10: "Cap1 exceeded allowed left-stop boundary during movement",
0x20: "Cap2 exceeded allowed left-stop boundary during movement (disabled in code)",
0x40: "Cap1 did not respond to test movement",
0x80: "Cap2 did not respond to test movement"
}
allaxrer_table = {
1: "Not all axes referenced after reference search",
2: "Pressure-loss emergency stop (pressure 14/15 active while motor C off)",
3: "Unexpected pressure OFF while soft-limits not yet set",
4: "Pressure valve mismatch (OUT13=0 but IN13=1)",
5: "Capacitive sensor boundary violations (caperr > 0)",
6: "Emergency Stop triggered (IN[5]=0)",
7: "Following error detected on one or more axes"
}
USER_ACCESS = [
"describe",
"show_running_threads",
@@ -65,8 +37,6 @@ class LamniGalilController(GalilController):
"get_motor_limit_switch",
"is_motor_on",
"all_axes_referenced",
"lamni_lights_off",
"lamni_lights_on"
]
def show_status_other(self):
@@ -90,47 +60,6 @@ class LamniGalilController(GalilController):
print("There is air pressure at the outer rotation radial.")
swver = float(self.socket_put_and_receive("MGswver"))
print(f"Lgalil LAMNI firmware version {swver:2.0f}.")
allaxref = int(float(self.socket_put_and_receive("MGallaxref")))
print(f"Error statuts:")
if allaxref == 1:
print(f"Allaxref = 1, all OK.")
else:
print(f"Allaxref = {allaxref}. Not all axes are referenced or error introduced preventing motion.")
allaxrer = int(float(self.socket_put_and_receive("MGallaxrer")))
print("\nallaxrer =", allaxrer)
print(self.decode_allaxrer(allaxrer))
caperr = int(float(self.socket_put_and_receive("MGcaperr")))
print("\nDecoding caperr =", caperr)
self.visualize_caperr(caperr)
def decode_allaxrer(self, code: int) -> str:
"""Return human-readable meaning of allaxrer code."""
return self.allaxrer_table.get(code, "Unknown allaxrer code")
def visualize_caperr(self, mask: int):
"""Pretty-print a bitmask visualization for caperr."""
print("\n=== CAPERR BITMASK VISUALIZER ===")
print(f"Raw value: {mask} (0x{mask:02X})")
print("----------------------------------\n")
print("Bit | Hex | Active | Meaning")
print("----------------------------------")
for bit, meaning in self.caperr_bits.items():
active = "YES" if mask & bit else "no"
print(f"{bit:3d} | 0x{bit:02X} | {active:6} | {meaning}")
print("\nActive flags:")
active_flags = [meaning for bit, meaning in self.caperr_bits.items() if mask & bit]
if active_flags:
for f in active_flags:
print("", f)
else:
print(" (none)")
print("\n==================================\n")
def lamni_lights_off(self):
self.socket_put_confirmed("SB1")
@@ -164,7 +93,7 @@ class LamniGalilReadbackSignal(GalilSignalRO):
val = super().read()
if self.parent.axis_Id_numeric == 2:
try:
rt = self.parent.device_manager.devices[self.parent.rt]
rt = self.parent.device_manager.devices[self.parent.rtx]
if rt.enabled:
rt.obj.controller.set_rotation_angle(val[self.parent.name]["value"])
except KeyError:
@@ -218,7 +147,7 @@ class LamniGalilMotor(Device, PositionerBase):
raise BECConfigError(
"device_mapping has been specified but the device_manager cannot be accessed."
)
self.rt = self.device_mapping.get("rt", "rtx")
self.rt = self.device_mapping.get("rt")
super().__init__(
prefix,

View File

@@ -11,7 +11,6 @@ from ophyd.status import wait as status_wait
from ophyd.utils import LimitError, ReadOnlyError
from ophyd_devices.utils.controller import Controller, threadlocked
from ophyd_devices.utils.socket import SocketIO, SocketSignal, raise_if_disconnected
from prettytable import PrettyTable
from csaxs_bec.devices.omny.rt.rt_ophyd import RtCommunicationError, RtError
@@ -52,7 +51,6 @@ class RtLamniController(Controller):
_axes_per_controller = 3
USER_ACCESS = [
"socket_put_and_receive",
"socket_put",
"set_rotation_angle",
"feedback_disable",
"feedback_enable_without_reset",
@@ -64,9 +62,6 @@ class RtLamniController(Controller):
"_set_axis_velocity_maximum_speed",
"_position_sampling_single_read",
"_position_sampling_single_reset_and_start_sampling",
"show_signal_strength_interferometer",
"show_analog_signals",
"show_feedback_status",
]
def __init__(
@@ -213,9 +208,8 @@ class RtLamniController(Controller):
@threadlocked
def start_scan(self):
# interferometer_feedback_not_running = int((self.socket_put_and_receive("J2")).split(",")[0])
# if interferometer_feedback_not_running == 1:
if not self.feedback_is_running():
interferometer_feedback_not_running = int((self.socket_put_and_receive("J2")).split(",")[0])
if interferometer_feedback_not_running == 1:
logger.error(
"Cannot start scan because feedback loop is not running or there is an interferometer error."
)
@@ -276,44 +270,6 @@ class RtLamniController(Controller):
"average_lamni_angle": {"value": self.average_lamni_angle / (int(return_table[0]) + 1)},
}
return signals
def feedback_is_running(self) -> bool:
status = int(float((self.socket_put_and_receive("J2")).split(",")[0]))
return status == 0 # 0 means running, 1 means error/disabled
def show_feedback_status(self):
if self.feedback_is_running():
print("Loop is running, no error on interferometer.")
else:
print("Loop is not running, either it is turned off or an interferometer error occurred.")
def show_analog_signals(self) -> dict:
self.socket_put("As") # start sampling
time.sleep(0.01)
return_table = (self.socket_put_and_receive("Ar")).split(",")
number_of_samples = int(float(return_table[0]))
signals = {
"number_of_samples": number_of_samples,
"piezo_0": float(return_table[1]),
"piezo_1": float(return_table[2]),
"cap_0": float(return_table[3]),
"cap_1": float(return_table[4]),
"cap_2": float(return_table[5]),
"cap_3": float(return_table[6]),
"cap_4": float(return_table[7]),
}
t = PrettyTable()
t.title = f"LamNI Analog Signals ({number_of_samples} samples)"
t.field_names = ["Signal", "Value"]
for key, val in signals.items():
if key != "number_of_samples":
t.add_row([key, f"{val:.4f}"])
print(t)
return
def read_positions_from_sampler(self):
# this was for reading after the scan completed
@@ -391,48 +347,6 @@ class RtLamniController(Controller):
)
return bool(return_table[0])
def show_signal_strength_interferometer(self):
# trigger SSI averaging before reading
self.socket_put("J3")
time.sleep(0.05)
return_table = (self.socket_put_and_receive("J2")).split(",")
ssi_0 = float(return_table[1])
ssi_1 = float(return_table[2])
return_table_angle = (self.socket_put_and_receive("J7")).split(",")
angle_running = bool(int(float(return_table_angle[0])))
angle_position = float(return_table_angle[1])
angle_signal = float(return_table_angle[2])
t = PrettyTable()
t.title = "Interferometer signal strength"
t.field_names = ["Axis", "Description", "Value", "Running"]
t.add_row([0, "ST FZP horizontal", ssi_0, "-"])
t.add_row([1, "ST FZP vertical", ssi_1, "-"])
t.add_row([2, "Angle interferometer", angle_signal, angle_running])
print(t)
if angle_running:
print(f"Angle interferometer position: {angle_position:.4f} um")
else:
print("Warning: angle interferometer is not running.")
def show_interferometer_positions(self) -> dict:
return_table = (self.socket_put_and_receive("J4")).split(",")
loop_status = bool(int(float(return_table[0])))
pos_y = float(return_table[1])
pos_x = float(return_table[2])
t = PrettyTable()
t.title = "LamNI Interferometer Positions"
t.field_names = ["Axis", "Description", "Position (um)"]
t.add_row([0, "X", f"{pos_x:.4f}"])
t.add_row([1, "Y", f"{pos_y:.4f}"])
print(t)
print(f"Feedback loop running: {loop_status}")
return {"x": pos_x, "y": pos_y, "loop_running": loop_status}
def feedback_enable_with_reset(self):
if not self.feedback_status_angle_lamni():
self.feedback_disable_and_even_reset_lamni_angle_interferometer()

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@@ -0,0 +1,101 @@
"""Module to integrate the PandaBox for cSAXS measurements."""
import time
from bec_lib.logger import bec_logger
from ophyd_devices import AsyncMultiSignal, StatusBase
from ophyd_devices.devices.panda_box.panda_box import PandaBox, PandaState
from pandablocks.responses import FrameData
logger = bec_logger.logger
class PandaBoxCSAXS(PandaBox):
def on_init(self):
super().on_init()
self._acquisition_group = "burst"
self._timeout_on_completed = 10
def on_stage(self):
# TODO, adjust as seen fit.
# Adjust the acquisition group based on scan parameters if needed
if self.scan_info.msg.scan_type == "fly":
self._acquisition_group = "fly"
elif self.scan_info.msg.scan_type == "step":
if self.scan_info.msg.scan_parameters["frames_per_trigger"] == 1:
self._acquisition_group = "monitored"
else:
self._acquisition_group = "burst"
def on_complete(self):
"""On complete is called after the scan is complete. We need to wait for the capture to complete before we can disarm the PandaBox."""
def _check_capture_complete():
captured = 0
start_time = time.monotonic()
try:
expected_points = int(self.scan_info.msg.num_points * self.scan_info.msg.scan_parameters.get("frames_per_trigger",1))
while captured < expected_points:
logger.info(
f"Run with captured {captured} and expected points : {expected_points}."
)
ret = self.send_raw("*PCAP.CAPTURED?")
captured = int(ret[0].split("=")[-1])
time.sleep(0.01)
if (time.monotonic() - start_time) > self._timeout_on_completed:
raise TimeoutError(f"Pandabox {self.name} did not complete after {self._timeout_on_completed} with points captured {captured}/{expected_points}")
finally:
self._disarm()
_check_capture_complete()
# NOTE: This utility class allows to submit a blocking function to a thread and return a status object
# that can be awaited for. This allows for asynchronous waiting for the capture to complete without blocking
# the main duty cycle of the device server. The device server knows how to handle the status object (future)
# and will wait for it to complete.
# status = self.task_handler.submit_task(_check_capture_complete, run=True)
# status_panda_state = StatusBase(obj=self)
# self.add_status_callback(
# status, success=[PandaState.END, PandaState.DISARMED], failure=[PandaState.READY]
# )
# ret_status = status & status_panda_state
# self.cancel_on_stop(ret_status)
# return ret_status
if __name__ == "__main__":
import time
panda = PandaBoxCSAXS(
name="omny_panda",
host="omny-panda.psi.ch",
signal_alias={
"FMC_IN.VAL2.Value": "alias",
"FMC_IN.VAL1.Min": "alias2",
"FMC_IN.VAL1.Max": "alias3",
"FMC_IN.VAL1.Mean": "alias4",
},
)
panda.on_connected()
status = StatusBase(obj=panda)
panda.add_status_callback(
status=status, success=[PandaState.DISARMED], failure=[PandaState.READY]
)
panda.stop()
status.wait(timeout=2)
panda.unstage()
logger.info(f"Panda connected")
ret = panda.stage()
logger.info(f"Panda staged")
ret = panda.pre_scan()
ret.wait(timeout=5)
logger.info(f"Panda pre scan done")
time.sleep(5)
panda.stop()
st = panda.complete()
st.wait(timeout=5)
logger.info(f"Measurement completed")
panda.unstage()
logger.info(f"Panda Unstaged")

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@@ -0,0 +1,102 @@
"""Module to integrate the PandaBox for cSAXS measurements."""
import time
from bec_lib.logger import bec_logger
from ophyd_devices import AsyncMultiSignal, StatusBase
from ophyd_devices.devices.panda_box.panda_box import PandaBox, PandaState
from pandablocks.responses import FrameData
logger = bec_logger.logger
class PandaBoxOMNY(PandaBox):
def on_init(self):
super().on_init()
self._acquisition_group = "burst"
self._timeout_on_completed = 10
def on_stage(self):
# TODO, adjust as seen fit.
# Adjust the acquisition group based on scan parameters if needed
if self.scan_info.msg.scan_type == "fly":
self._acquisition_group = "fly"
elif self.scan_info.msg.scan_type == "step":
if self.scan_info.msg.scan_parameters["frames_per_trigger"] == 1:
self._acquisition_group = "monitored"
else:
self._acquisition_group = "burst"
def on_complete(self):
"""On complete is called after the scan is complete. We need to wait for the capture to complete before we can disarm the PandaBox."""
def _check_capture_complete():
captured = 0
start_time = time.monotonic()
try:
expected_points = int(self.scan_info.msg.num_points * self.scan_info.msg.scan_parameters.get("frames_per_trigger",1))
while captured < expected_points:
logger.info(
f"Run with captured {captured} and expected points : {expected_points}."
)
ret = self.send_raw("*PCAP.CAPTURED?")
captured = int(ret[0].split("=")[-1])
time.sleep(0.01)
if (time.monotonic() - start_time) > self._timeout_on_completed:
raise TimeoutError(f"Pandabox {self.name} did not complete after {self._timeout_on_completed} with points captured {captured}/{expected_points}")
finally:
self._disarm()
_check_capture_complete()
# NOTE: This utility class allows to submit a blocking function to a thread and return a status object
# that can be awaited for. This allows for asynchronous waiting for the capture to complete without blocking
# the main duty cycle of the device server. The device server knows how to handle the status object (future)
# and will wait for it to complete.
# status = self.task_handler.submit_task(_check_capture_complete, run=True)
# status_panda_state = StatusBase(obj=self)
# self.add_status_callback(
# status, success=[PandaState.END, PandaState.DISARMED], failure=[PandaState.READY]
# )
# ret_status = status & status_panda_state
# self.cancel_on_stop(ret_status)
# return ret_status
if __name__ == "__main__":
import time
panda = PandaBoxCSAXS(
name="omny_panda",
host="omny-panda.psi.ch",
signal_alias={
"FMC_IN.VAL2.Value": "alias",
"FMC_IN.VAL1.Min": "alias2",
"FMC_IN.VAL1.Max": "alias3",
"FMC_IN.VAL1.Mean": "alias4",
},
)
panda.on_connected()
status = StatusBase(obj=panda)
panda.add_status_callback(
status=status, success=[PandaState.DISARMED], failure=[PandaState.READY]
)
panda.stop()
status.wait(timeout=2)
panda.unstage()
logger.info(f"Panda connected")
ret = panda.stage()
logger.info(f"Panda staged")
ret = panda.pre_scan()
ret.wait(timeout=5)
logger.info(f"Panda pre scan done")
time.sleep(5)
panda.stop()
st = panda.complete()
st.wait(timeout=5)
logger.info(f"Measurement completed")
panda.unstage()
logger.info(f"Panda Unstaged")

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@@ -210,7 +210,7 @@ class LamNIFermatScan(ScanBase, LamNIMixin):
arg_input = {}
arg_bundle_size = {"bundle": len(arg_input), "min": None, "max": None}
def __init__(self, *args, parameter: dict = None, **kwargs):
def __init__(self, *args, parameter: dict = None, frames_per_trigger:int=1, exp_time:float=0,**kwargs):
"""
A LamNI scan following Fermat's spiral.
@@ -230,10 +230,10 @@ class LamNIFermatScan(ScanBase, LamNIMixin):
Examples:
>>> scans.lamni_fermat_scan(fov_size=[20], step=0.5, exp_time=0.1)
>>> scans.lamni_fermat_scan(fov_size=[20, 25], center_x=0.02, center_y=0, shift_x=0, shift_y=0, angle=0, step=0.5, fov_circular=0, exp_time=0.1)
>>> scans.lamni_fermat_scan(fov_size=[20, 25], center_x=0.02, center_y=0, shift_x=0, shift_y=0, angle=0, step=0.5, fov_circular=0, exp_time=0.1, frames_per_trigger=1)
"""
super().__init__(parameter=parameter, **kwargs)
super().__init__(parameter=parameter, frames_per_trigger=frames_per_trigger, exp_time=exp_time,**kwargs)
self.axis = []
scan_kwargs = parameter.get("kwargs", {})
self.fov_size = scan_kwargs.get("fov_size")
@@ -482,6 +482,7 @@ class LamNIFermatScan(ScanBase, LamNIMixin):
yield from self.open_scan()
yield from self.stage()
yield from self.run_baseline_reading()
yield from self.pre_scan()
yield from self.scan_core()
yield from self.finalize()
yield from self.unstage()

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@@ -52,6 +52,7 @@ class FlomniFermatScan(SyncFlyScanBase):
angle: float = None,
corridor_size: float = 3,
parameter: dict = None,
frames_per_trigger:int=1,
**kwargs,
):
"""
@@ -62,7 +63,8 @@ class FlomniFermatScan(SyncFlyScanBase):
fovy(float) [um]: Fov in the piezo plane (i.e. piezo range). Max 100 um
cenx(float) [um]: center position in x.
ceny(float) [um]: center position in y.
exp_time(float) [s]: exposure time
exp_time(float) [s]: exposure time per burst frame
frames_per_trigger(int) : Number of burst frames per point
step(float) [um]: stepsize
zshift(float) [um]: shift in z
angle(float) [deg]: rotation angle (will rotate first)
@@ -71,10 +73,10 @@ class FlomniFermatScan(SyncFlyScanBase):
Returns:
Examples:
>>> scans.flomni_fermat_scan(fovx=20, fovy=25, cenx=0.02, ceny=0, zshift=0, angle=0, step=0.5, exp_time=0.01)
>>> scans.flomni_fermat_scan(fovx=20, fovy=25, cenx=0.02, ceny=0, zshift=0, angle=0, step=0.5, exp_time=0.01, frames_per_trigger=1)
"""
super().__init__(parameter=parameter, exp_time=exp_time, **kwargs)
super().__init__(parameter=parameter, exp_time=exp_time, frames_per_trigger=frames_per_trigger, **kwargs)
self.show_live_table = False
self.axis = []
self.fovx = fovx
@@ -323,6 +325,7 @@ class FlomniFermatScan(SyncFlyScanBase):
yield from self.stage()
yield from self.run_baseline_reading()
yield from self._prepare_setup_part2()
yield from self.pre_scan()
yield from self.scan_core()
yield from self.finalize()
yield from self.unstage()

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@@ -51,6 +51,7 @@ class OMNYFermatScan(SyncFlyScanBase):
angle: float = None,
corridor_size: float = 3,
parameter: dict = None,
frames_per_trigger:int=1,
**kwargs,
):
"""
@@ -62,6 +63,7 @@ class OMNYFermatScan(SyncFlyScanBase):
cenx(float) [um]: center position in x.
ceny(float) [um]: center position in y.
exp_time(float) [s]: exposure time
frames_per_trigger:int: Number of burst frames per trigger, defaults to 1.
step(float) [um]: stepsize
zshift(float) [um]: shift in z
angle(float) [deg]: rotation angle (will rotate first)
@@ -73,7 +75,7 @@ class OMNYFermatScan(SyncFlyScanBase):
>>> scans.omny_fermat_scan(fovx=20, fovy=25, cenx=10, ceny=0, zshift=0, angle=0, step=2, exp_time=0.01)
"""
super().__init__(parameter=parameter, **kwargs)
super().__init__(parameter=parameter, exp_time=exp_time, frames_per_trigger=frames_per_trigger, **kwargs)
self.axis = []
self.fovx = fovx
self.fovy = fovy
@@ -299,6 +301,7 @@ class OMNYFermatScan(SyncFlyScanBase):
yield from self.stage()
yield from self.run_baseline_reading()
yield from self._prepare_setup_part2()
yield from self.pre_scan()
yield from self.scan_core()
yield from self.finalize()
yield from self.unstage()

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@@ -193,14 +193,15 @@ The basic scan function can be called by `scans.flomni_fermat_scan()` and offers
| fovy (float) | Fov in the piezo plane (i.e. piezo range). Max 100 um |
| cenx (float) | center position in x |
| ceny (float) | center position in y |
| exp_time (float) | exposure time |
| exp_time (float) | exposure time per frame |
| frames_per_trigger(int) | Number of burst frames per position |
| step (float) | stepsize |
| zshift (float) | shift in z |
| angle (float) | rotation angle (will rotate first) |
| corridor_size (float) | corridor size for the corridor optimization. Default 3 um |
Example:
`scans.flomni_fermat_scan(fovx=20, fovy=25, cenx=0.02, ceny=0, zshift=0, angle=0, step=0.5, exp_time=0.01)`
`scans.flomni_fermat_scan(fovx=20, fovy=25, cenx=0.02, ceny=0, zshift=0, angle=0, step=0.5, exp_time=0.01, frames_per_trigger=1)`
#### Overview of the alignment steps

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@@ -327,14 +327,15 @@ The basic scan function can be called by `scans.omny_fermat_scan()` and offers a
| fovy (float) | Fov in the piezo plane (i.e. piezo range). Max 100 um |
| cenx (float) | center position in x |
| ceny (float) | center position in y |
| exp_time (float) | exposure time |
| exp_time (float) | exposure time per frame |
| frames_per_trigger(int) | Number of burst frames per position |
| step (float) | stepsize |
| zshift (float) | shift in z |
| angle (float) | rotation angle (will rotate first) |
| corridor_size (float) | corridor size for the corridor optimization. Default 3 um |
Example:
`scans.omny_fermat_scan(fovx=20, fovy=25, cenx=0.02, ceny=0, zshift=0, angle=0, step=0.5, exp_time=0.01)`
`scans.omny_fermat_scan(fovx=20, fovy=25, cenx=0.02, ceny=0, zshift=0, angle=0, step=0.5, exp_time=0.01, frames_per_trigger=1)`
#### Overview of the alignment steps

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@@ -35,16 +35,16 @@ def test_save_frame(bec_client_mock):
lamni = LamNI(client)
align = XrayEyeAlign(client, lamni)
with mock.patch(
"csaxs_bec.bec_ipython_client.plugins.LamNI.alignment.epics_put"
"csaxs_bec.bec_ipython_client.plugins.LamNI.x_ray_eye_align.epics_put"
) as epics_put_mock:
align.save_frame()
epics_put_mock.assert_called_once_with("XOMNYI-XEYE-SAVFRAME:0", 1)
def test_update_frame(bec_client_mock):
epics_put = "csaxs_bec.bec_ipython_client.plugins.LamNI.alignment.epics_put"
epics_get = "csaxs_bec.bec_ipython_client.plugins.LamNI.alignment.epics_get"
fshopen = "csaxs_bec.bec_ipython_client.plugins.LamNI.alignment.fshopen"
epics_put = "csaxs_bec.bec_ipython_client.plugins.LamNI.x_ray_eye_align.epics_put"
epics_get = "csaxs_bec.bec_ipython_client.plugins.LamNI.x_ray_eye_align.epics_get"
fshopen = "csaxs_bec.bec_ipython_client.plugins.LamNI.x_ray_eye_align.fshopen"
client = bec_client_mock
client.device_manager.devices.xeye = DeviceBase(
name="xeye",