Specific Process Knowledge/Etch/DRIE-Pegasus/Claritas - Revision history

Jmli: Blanked the page

2024-09-24T12:23:06Z

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Jmli at 12:22, 24 September 2024

2024-09-24T12:22:39Z

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Jmli: Blanked the page

2024-08-15T10:27:36Z

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← Older revision		Revision as of 12:27, 15 August 2024
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	~~<syntaxhighlight lang="python" line>~~

	~~# Let's modify the code to include error handling, loop safeguards, and logging to ensure that the code is more robust and less likely to crash.~~

	~~import logging~~

	~~# Setting up logging to track the execution and identify issues~~
	~~#logging.basicConfig(filename='/FocusWobble.log', level=logging.DEBUG,~~
	~~# format='%(asctime)s - %(levelname)s - %(message)s')~~

	~~from win32com.client import gencache~~
	~~import SEM_API_fix as SEM_API~~
	~~import matplotlib.pyplot as plt~~
	~~import numpy as np~~
	~~import time~~
	~~import math~~
	~~from imageio import imread~~

	~~# Imitate focus wobble~~

	~~def FocusWobble():~~
	~~try:~~
	~~# Get values~~
	~~with SEM_API.SEM_API("remote") as sem:~~
	~~wd_get = sem.GetValue("AP_WD")~~

	~~# Set wobble parameters~~
	~~number_of_images = 15~~
	~~number_of_overlaps = 1~~
	~~wd_percentage_range = 0.002~~

	~~# Set image parameters~~
	~~#store_resolution = 512 # set *3/4, DP_IMAGE_STORE~~
	~~#file_name = "fliptest"~~

	~~# Set imaging conditions~~
	~~with SEM_API.SEM_API("remote") as sem:~~
	~~sem.Execute("CMD_UNFREEZE_ALL")~~
	~~sem.Execute("CMD_SCANRATE7")~~

	~~# Loop to capture and save images~~
	~~for i in range(number_of_images):~~
	~~wd = wd_get * (1 + wd_percentage_range * math.sin(2 * math.pi * i / (number_of_images - number_of_overlaps)))~~
	~~logging.info(f"Image {i}: WD={wd}")~~
	~~try:~~
	~~with SEM_API.SEM_API("remote") as sem:~~
	~~s = sem.SetValue("AP_WD", wd)~~
	~~sem.Execute("CMD_UNFREEZE_ALL")~~
	~~time.sleep(0.5)~~
	~~sem.Execute("CMD_FREEZE_ALL")~~

	~~retries = 0~~
	~~max_retries = 10~~
	~~while sem.GetState("DP_BEAM_BLANKED") == "No":~~
	~~if retries >= max_retries:~~
	~~logging.warning(f"Max retries reached for image {i}, exiting loop.")~~
	~~break~~
	~~#print(retries)~~
	~~time.sleep(1)~~
	~~retries += 1~~

	~~sem.Execute("CMD_TAKE_PHOTO")~~
	~~except Exception as e:~~
	~~logging.error(f"Error during image capture {i}: {e}")~~

	~~except Exception as e:~~
	~~logging.critical(f"Critical error in FocusWobble: {e}")~~

	~~# Call the function~~
	~~#FocusWobble()~~

	~~number_of_images = 25~~
	~~wd_get = 4.5~~
	~~wd_percentage_range= 0.002~~
	~~number_of_overlaps = 4~~

	~~for i in range(number_of_images):~~
	~~wd = wd_get * (1 + wd_percentage_range * math.sin(2 * math.pi * i / (number_of_images - number_of_overlaps)))~~
	~~print(i,wd)~~


	~~</syntaxhighlight>~~

Jmli: Created page with " # Let's modify the code to include error handling, loop safeguards, and logging to ensure that the code is more robust and less likely to crash. import logging # Setting up logging to track the execution and identify issues #logging.basicConfig(filename='/FocusWobble.log', level=logging.DEBUG, # format='%(asctime)s - %(levelname)s - %(message)s') from win32com.client import gencache import SEM_API_fix as SEM_AP..."

2024-08-14T07:50:38Z

Created page with "<syntaxhighlight lang="python" line> # Let's modify the code to include error handling, loop safeguards, and logging to ensure that the code is more robust and less likely to crash. import logging # Setting up logging to track the execution and identify issues #logging.basicConfig(filename='/FocusWobble.log', level=logging.DEBUG, # format='%(asctime)s - %(levelname)s - %(message)s') from win32com.client import gencache import SEM_API_fix as SEM_AP..."

New page

<syntaxhighlight lang="python" line>

# Let's modify the code to include error handling, loop safeguards, and logging to ensure that the code is more robust and less likely to crash.

import logging

# Setting up logging to track the execution and identify issues
#logging.basicConfig(filename='/FocusWobble.log', level=logging.DEBUG,
# format='%(asctime)s - %(levelname)s - %(message)s')

from win32com.client import gencache
import SEM_API_fix as SEM_API
import matplotlib.pyplot as plt
import numpy as np
import time
import math
from imageio import imread

# Imitate focus wobble

def FocusWobble():
try:
# Get values
with SEM_API.SEM_API("remote") as sem:
wd_get = sem.GetValue("AP_WD")

# Set wobble parameters
number_of_images = 15
number_of_overlaps = 1
wd_percentage_range = 0.002

# Set image parameters
#store_resolution = 512 # set *3/4, DP_IMAGE_STORE
#file_name = "fliptest"

# Set imaging conditions
with SEM_API.SEM_API("remote") as sem:
sem.Execute("CMD_UNFREEZE_ALL")
sem.Execute("CMD_SCANRATE7")

# Loop to capture and save images
for i in range(number_of_images):
wd = wd_get * (1 + wd_percentage_range * math.sin(2 * math.pi * i / (number_of_images - number_of_overlaps)))
logging.info(f"Image {i}: WD={wd}")
try:
with SEM_API.SEM_API("remote") as sem:
s = sem.SetValue("AP_WD", wd)
sem.Execute("CMD_UNFREEZE_ALL")
time.sleep(0.5)
sem.Execute("CMD_FREEZE_ALL")

retries = 0
max_retries = 10
while sem.GetState("DP_BEAM_BLANKED") == "No":
if retries >= max_retries:
logging.warning(f"Max retries reached for image {i}, exiting loop.")
break
#print(retries)
time.sleep(1)
retries += 1

sem.Execute("CMD_TAKE_PHOTO")
except Exception as e:
logging.error(f"Error during image capture {i}: {e}")

except Exception as e:
logging.critical(f"Critical error in FocusWobble: {e}")

# Call the function
#FocusWobble()

number_of_images = 25
wd_get = 4.5
wd_percentage_range= 0.002
number_of_overlaps = 4

for i in range(number_of_images):
wd = wd_get * (1 + wd_percentage_range * math.sin(2 * math.pi * i / (number_of_images - number_of_overlaps)))
print(i,wd)

</syntaxhighlight>