Search found 5 matches
- Mon Mar 08, 2021 2:53 am
- Forum: Bugs
- Topic: Curry esfit with Scaling None gives an error
- Replies: 10
- Views: 14717
Re: Curry esfit with Scaling None gives an error
I just ran which -all rescale and I got the following: C:\EasySpin\easyspin-5.2.30\easyspin\rescale.p C:\Program Files\MATLAB\R2020b\toolbox\matlab\bigdata\@tall\rescale.m % tall method C:\Program Files\MATLAB\R2020b\toolbox\parallel\parallel\@distributed\rescale.m % distributed method C:\EasySpin\e...
- Fri Mar 05, 2021 3:08 am
- Forum: Bugs
- Topic: Curry esfit with Scaling None gives an error
- Replies: 10
- Views: 14717
Re: Curry esfit with Scaling None gives an error
Many thanks for your message. Do you mean to put easyspin first in the list of paths (Set Path window)? I tried that but this doesn't seem to solve the problem.
- Fri Feb 26, 2021 2:15 am
- Forum: General forum
- Topic: Prevent EasySpin from expiring
- Replies: 1
- Views: 1439
Prevent EasySpin from expiring
Hi, the bug that the 'none' fitoption scaling feature is not working with curry, as described in https://easyspin.org/forum/viewtopic.php?f=4&t=723, is still present in the latest EasySpin version. Unfortunately, version 5.2.25 is expiring at the end of this month. Is there a way to prevent the ...
- Mon Jan 11, 2021 7:07 am
- Forum: Bugs
- Topic: Curry esfit with Scaling None gives an error
- Replies: 10
- Views: 14717
Re: Curry esfit with Scaling None gives an error
Hi, I noticed the same problem with version 5.2.29. However, it runs after reverting to 5.2.25. The curry_fit.m example file from the examples folder does not run the fitting because of this error message. I also noticed that the onecoloumn option is gone in the development version 6.0. Has this bee...
- Fri May 10, 2019 7:30 am
- Forum: General forum
- Topic: Nonuniform x-data for esfit routine
- Replies: 1
- Views: 1485
Nonuniform x-data for esfit routine
Hi, when using esfit, one specifies the experimental field or frequency regime and then the program calculates uniform x-axis values for my dataset. However, sometimes I deal with non-uniform frequency or field values, for example, by taking more measurement points around certain spectral features, ...