Finding magnetic discontinuities

It can be divided into two parts:

1. Finding the discontinuities, see this notebook

   • Corresponding to limited feature extraction / anomaly detection

   • Output should contain the following:

     • “tstart” and “tstop” of the event
2. Calculating the properties of the discontinuities, see this notebook
   • One can use higher time resolution data

Processing the whole dataset

Notes that the candidates only require a small portion of the data so we can compress the data to speed up the processing.

---

ids_finder

 ids_finder (detection_df:polars.lazyframe.frame.LazyFrame, bcols=None,
             detect_func:Callable[...,polars.lazyframe.frame.LazyFrame]=<f
             unction detect_variance>, detect_kwargs:dict={},
             extract_df:polars.lazyframe.frame.LazyFrame=None, **kwargs)

	Type	Default	Details
detection_df	LazyFrame		data used for anomaly dectection (typically low cadence data)
bcols	NoneType	None
detect_func	Callable	detect_variance
detect_kwargs	dict	{}
extract_df	LazyFrame	None	data used for feature extraction (typically high cadence data),
kwargs	VAR_KEYWORD