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Hello everyone,
I am currently buiding pore networks models with the plugin OpenPNM on Dragonfly (v 2022.2), I know it is not long supported but it uses SNOW algorithm for PNM and I try it for building a method of analysis.
I want to analyse two datasets A and B wich represent 3D reconstruction of a porous material (so not genereated datasets) in condition A and condition B. Let's say condition A is "native" and B is a new condition added.
I tested different sigmas (0, 0.3, 0.4, 0.5) and Rmax numbers (5 to 10) for both datasets because I don't know what parameters choose in first instance (it's difficult to extract pores in traditional methods). Then, I saw distribution of pore's volumes in condition A, and for different reasons I decided to choose sigma=0.4 (like how it was adviced in SNOW's paper) and Rmax=8.
Then, I was thinking - since I want to compares porous characteristics between A and B, should i keep the same sigma and Rmax for both models ? Or it is not working like that ? Because if I choose sigma and Rmax for A like I proceeded for B, it would be sigma 0.4 and Rmax=6 instead of 8...
Thank you in advance for your answer
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Hello everyone,
I am currently buiding pore networks models with the plugin OpenPNM on Dragonfly (v 2022.2), I know it is not long supported but it uses SNOW algorithm for PNM and I try it for building a method of analysis.
I want to analyse two datasets A and B wich represent 3D reconstruction of a porous material (so not genereated datasets) in condition A and condition B. Let's say condition A is "native" and B is a new condition added.
I tested different sigmas (0, 0.3, 0.4, 0.5) and Rmax numbers (5 to 10) for both datasets because I don't know what parameters choose in first instance (it's difficult to extract pores in traditional methods). Then, I saw distribution of pore's volumes in condition A, and for different reasons I decided to choose sigma=0.4 (like how it was adviced in SNOW's paper) and Rmax=8.
Then, I was thinking - since I want to compares porous characteristics between A and B, should i keep the same sigma and Rmax for both models ? Or it is not working like that ? Because if I choose sigma and Rmax for A like I proceeded for B, it would be sigma 0.4 and Rmax=6 instead of 8...
Thank you in advance for your answer
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