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−Table of Contents
TransientX - Lessions learned
The general concept of TransientX
TransientX is a powerful to search for single pulses. It analyses the data in several steps during the search that includes also RFI mitigation and clustering of candidates. The following makrs my knowledge as of 2024-07-01. The steps of transientx_fil are as follows
- Skewness/kurtosis filtering
- Downsampling
- Normalisation
- Baseline removal
- RFI mitigation (
-zoptions) - De-dispersion
- Matched filtering search for single pulses
- Clustering of candidates
- Plotting
Skewness/kurtosis filtering
This filtering method is always on and controlled by the -zapthre option. There is no flag to turn it off directly. However, a high threshold basically disables it.
Downsampling
Next, the filterbank is downsampled in time and frequency according to the values given by –td and –fd. Be aware that this is down in addition to values given in the ddplan Hence, the file might be downsampled multiple times!
Normalisation
Baseline removal
This step is similar to the zdot option
