Implement the LT pipeline in XGA tools

[DavidT3]

Implement the LT pipeline in XGA tools

[DavidT3]

User should also be able to decide on which overdensity radius to measure. Will develop just for $R_{500}$ initially, simply because I want to make things are working.

[DavidT3]

I think I will also implement another skew of this pipeline where it sets up array jobs for workload managers for HPCs like Slurm and SGE. As some clusters might take much longer to generate/fit spectra than others (maybe they have more observations or the fits don't converge as well), we might end up having the sample repeatedly waiting for one to finish when others could be going onto the next stage.

As this is a pipeline, and there isn't much to gain by running it interactively, a function that sets up a run where all the sources are run individually would be a good idea (no sample involved, just individual sources).

[DavidT3]

Ran a test on the SDSSRM-XCS Tx_err < 25% sample (150 clusters), comparing the XGA LT pipeline R500 measurements to the original XCS3P LT pipeline R500 values:

Looks pretty great given the differing approaches to the starting region (I use a fixed aperture, XCS3P uses a circle based on the semi-major axis of the detection ellipse).

9 of the 150 clusters didn't get a result, but I suspect that is because I didn't use adjusted regions for this run, and I know there are some that need it in this sample.

[DavidT3]

Now need to tidy up the function (add some more user-configurable options etc), add some documentation, and make sure that it measures temperatures and luminosities for the final, accepted, radii.

Maybe should let the user choose between returning a sample object, or just a pandas dataframe (of writing it to disk even).

[DavidT3]

I am going to try and determine the particular overdensity from the passed scaling relation y-axis name. That way I will put the values in the correct argument on sample declaration - it might matter slightly as it will alter the behaviour of sources in the middle of clusters being removed.