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 Polynomial fit of a discontinuous curve		  New Topic  Reply to Topic
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loddddd

3 Posts
Posted - 03/28/2013 :  08:52:45 AM  Show Profile  Edit Topic  Reply with Quote  View user's IP address  Delete Topic
To be able to explain more cleary I have added a figure (http://postimg.org/image/y77orcigl/).

What I need is to do a polynomial fit of the descending part of the large curve in blue (hysteresis curve) from point A to point B.

However, the curve is not continuus, and minor loops inside are created. In the figure you see the arrows and numbers indicating sequence.

So, I need to be able to eliminate all the inside loops and only fit the large one. Of course, the position and number of the minor loops is here given as an illustration and in reality there is much more of them.

Is there any way to do it?

matthew@originlab.com

73 Posts
Posted - 03/28/2013 :  10:17:07 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Hi,

The easiest way to do this would be to mask all the data in the subloops, and then fit the remaining points which lie on the main descending curve.

You can look here if you need information on how to mask data:
http://www.originlab.com/www/helponline/Origin/en/Category/Data_Masking.html

Let me know if you have any further questions.

Matthew
OriginLab
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loddddd

3 Posts
Posted - 03/28/2013 :  10:22:56 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
I have never used the mask tool.

I suppose its a select button where you can graphically select what you want to remove?
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matthew@originlab.com

73 Posts
Posted - 03/28/2013 :  10:45:36 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
It won't remove the data, it will just hide it from any analysis, you can easily remove the masking later and still retain that data.

Matthew
OriginLab
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loddddd

3 Posts
Posted - 03/28/2013 :  10:56:07 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Yes, that what I meant. Thank you.
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