Objective:
I have picked targets from a .GRD file, with some processed magnetic data. The processing might have included, for example, de-spiking followed by removing high magnetic background noise (due to the local geology) by applying a moving average.
Next, I would like to calculate the sizes, depths and weights of my target list. The size can be pulled from this processed data, but can the weight and depth?
Resolution:
Filtering to remove noise and geology when done with good data, correctly and with careful quality control afterwards shouldn't mean you get worse results when using Euler to find the depth and weight of your targets. It should actually improve the accuracy of your target list, compared with using unprocessed data.
However, the workflow should be approached with caution. Some processing results end up with a lot of noise - usually ringing after filtering - and this is not always caught in QC. Other times the raw data wasn't of high enough quality in the first place for processing, to then be followed by Euler target picking workflows.
Therefore there is not a one-size fit's all answer. You should be able to do it with either dataset, as long as you are familiar with the data and sure that your data quality, quality control and processing methods are appropriate.