jess is Python library to analyze and remove Radio Frequency Interference (RFI) for radio search mode data.

Radio Frequency Interference are anthropomorphic signals that can corrupt radio observations. In the context of Fast Radio Burst (FRB) and Pulsar searches, RFI can significantly reduce sensitivity to the astronomical signal and increase the amount of false positives. jess aims to provide a set flexible Python filters that should work on data from a wide variety of telescopes. We use Cupy to optionally leverage Graphical Processing Units (GPUs) to greatly accelerate the filters.

• jess_composite.py A composite MAD/FFT/Highpass 2D filter
• jess_gauss.py Use Kurtosis and Skew as a 2D Gaussianity filter
• rfi_view.py View 2D dynamic spectra, bandpass, time series, and summery statistics.
• channel_mask_maker.py Make channel makes basked on user specified statistics.
• jess_combine_mocks.py A clone of the your script that applies the composite filter.

• channel_masks.py Make channel masks based on statistics and outlier algorithms
• dispersion/dispersion_cupy dispersion routines, roll and FDMT
• fitters/fitters_cupy Useful curve fitting, robust spline, arPLS, interactive polynomial, etc
• JESS_filters/JESS_filters_cupy/JESS_filters_generic Repository with all the filters
• See the full API documentation

We have a docs website

To install directly into your current Python environment

pip install git+https://github.com/josephwkania/jess.git

If you want a local version

git clone https://github.com/josephwkania/jess.git
pip install jess

If you have a GPU to use, pip install jess[cupy], for tests pip install jess[tests], and for doc pip install jess[docs]

See CONTRIBUTING.md