欧菲特榆树
omfit-elm的Python项目详细描述
ELM用作OMFIT项目一部分的文件：https://omfit.io/
提供：
- 非对称高斯光滑
- fft平滑
- 奥菲特尔姆
要求：
- fortranformat>；=0.2
- matplotlib>；=3.1，！=3.2.1，！=3.2.2
- 数量=1.12
- omas>；=0.67.0
- pyyaml>；=3.13
- 请求数>；=2.20
- 0.0英寸=1英寸
- 不确定性>；=3
- xarray>；=0.10.8
- omfit_mds==2020.12.2.22.59
- omfit_数据==2020.12.2.22.59
- omfit_rdb==2020.12.2.22.59
- omfit_测试==2020.12.2.22.59
- omfit_github==2020.12.2.22.59
- omfit_eqdsk==2020.12.2.22.59
- omfit_ascii==2020.12.2.22.59
- omfit_路径==2020.12.2.22.59
- omfit_nc==2020.12.2.22.59
- omfit_namelist==2020.12.2.22.59
- omfit_错误==2020.12.2.22.59
- omfit_commonclasses==2020.12.2.22.59
作者：
https://omfit.io/contributors.html
文件：
非对称高斯光滑
This is a smoothing function with a Gaussian kernel that does not require evenly spaced data and allows the
Gaussian center to be shifted.
:param x: array
Dependent variable
:param y: array
Independent variable
:param s: float
Sigma of tailing side (same units as x)
:param lag: float
Positive values shift the Gaussian kernel back in time to increase weight in the past:
makes the result laggier. (same units as x)
:param leading_side_width_factor: float
The leading side sigma will be this much bigger than the tailing side. Values > 1 increase the weight on
data from the past, making the signal laggier. (unitless)
:return: array
Smoothed version of y
fft平滑
^{pr2}$奥菲特尔姆
Quickly detect ELMs and run a filter that will tell you which time-slices are okay and which should be rejected
based on user specifications for ELM phase, etc.
- 项目
标签：
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