DiscontinuityPy

A python package for identifying and analyzing discontinuities for time series data.

All statistics are wrong, but some may be useful:)

User Guide

This package is designed to identify and analyze discontinuities in time series data.

1. Finding the discontinuities, see this notebook
   • Corresponding to limited feature extraction / anomaly detection
2. Calculating the properties of the discontinuities, see this notebook
   • One can use higher time resolution data

For how to use this project as a python library, please see this page.

Installation

pip install discontinuitypy

Getting started

Import the package

from discontinuitypy.utils.basic import *
from discontinuitypy.core import *

Related projects and publications

• Solar wind discontinuities spatial evolution in the outer heliosphere
• Evolution of solar wind discontinuities in the inner heliosphere: PSP and Earth conjunctions and alignments

TODOs

Science part

• Analysis
  • Contribution of discontinuities to the power spectrum
  • Check Datagap
  • Distribution of |B| over radius
  • Add error bar
  • More accurate way to obtain the properties of the discontinuities
• Identifaction
  • Ensemble forest?
  • Smoothing is important?
  • Check change point algorithm
• Features
  • Thickness in N direction
  • Use high resolution data for feature extraction
• Compare with other methods of identifying IDs
  • Verify with other methods of identifying IDs

Code part

• Optimization
  • dask for parallel computing instead of modin
  • JAX library for numpy optimization
  • shorten import time
• Refactor
  • process_candidates to exclude sat_state logics
  • renaming feature layer candidates
• Kedro
  • Modular pipelines

bugs

• STEREO B less than zero (after downsampling?)