How to visualise the domain image of a file saved in .omf format #184

Nikki07-22 · 2025-01-19T23:57:16Z

import discretisedfield as df
import matplotlib.pyplot as plt

Specify the path to the .omf file

file_path = "C:/Users/NIKITHA UNNI/hysteresis_angle_0_step_840.omf"

Define angle

angle = 0.1 # Example angle

Loop over steps from 0 to 999

for step in range(1000):
# Load the .omf file for the given step
field = df.Field.from_file(f"{file_path.split('step')[0]}step{step}.omf")

# Slice the field at z=0 for visualization
field_slice = field.sel(z=0)  # Select the z=0 plane

# Extract and visualize Mx component
mx_field = field_slice.x  # Extract Mx
mx_field.mpl.scalar(figsize=(8, 6))
plt.title(f"Domain Pattern: Mx Component at {angle} Degree (Step {step})")
plt.show()

# Compute and visualize the magnitude of the magnetization
magnitude_field = field_slice.norm  # Compute the magnitude
magnitude_field.mpl.scalar(figsize=(8, 6))
plt.title(f"Domain Pattern: Magnitude of Magnetization at {angle} Degree (Step {step})")
plt.show() I have just saved the different applied external angle in different steps in .omf format and tried to visualise the domain image,first of all I need to get the domain image of the single angle 0 degree external applied angle and visualise magnetic moment orientation of it with arrows showing moments orientation,how can I do that?

The text was updated successfully, but these errors were encountered:

lang-m · 2025-01-20T08:11:09Z

Visualising magnetisation with arrows is documented here: https://ubermag.github.io/documentation/notebooks/discretisedfield/field-matplotlib-visualisation.html#Vector-field-visualisation-%E2%80%93-mpl.vector

Nikki07-22 · 2025-01-21T18:38:28Z

Thanks for the reply,I have another query I have visualised the geometry but along with the geometry unwanted portion also come in the plot,I have saved the file in .omf format and done the analysis part.I am attaching below the domain image of interest and code also. import matplotlib.pyplot as plt import discretisedfield as df # Load the field data from the .omf file file_path = "C:/Users/NIKITHA UNNI/permalloy_hysteresis_crossbar_0.1deg_step1214.omf" field = df.Field.from_file(file_path) # Select the field at the specific z-slice (assuming you want to use z=10e-9) z_slice = 0 field_at_z = field.orientation.sel(z=z_slice) # Plot using the MPL backend (which combines vector and scalar visualization) plt.figure(figsize=(15, 12)) field_at_z.mpl() # Optionally, if you want to add extra scalar or vector visualizations # You can also plot heatmaps or quiver vectors manually as needed here. # Show the plot plt.show()

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On Mon, Jan 20, 2025 at 1:41 PM Martin Lang ***@***.***> wrote: Visualising magnetisation with arrows is documented here: https://ubermag.github.io/documentation/notebooks/discretisedfield/field-matplotlib-visualisation.html#Vector-field-visualisation-%E2%80%93-mpl.vector — Reply to this email directly, view it on GitHub <#184 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BOVB4RQXE2OIGFIEAEZIJKD2LSVTHAVCNFSM6AAAAABVPGGJD2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMMBRGY4TSMJWGQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

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How to visualise the domain image of a file saved in .omf format #184

How to visualise the domain image of a file saved in .omf format #184

How to visualise the domain image of a file saved in .omf format #184

How to visualise the domain image of a file saved in .omf format #184

Comments

Specify the path to the .omf file

Define angle

Loop over steps from 0 to 999