WP3.6.2 Clustering redshift processing and validation

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Corresponds to WP2 in the inkind workplan Google doc.

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28/JUL/22

• have started earlier than originally expected on this hence moved into #14
• believe observational systematics (from WP3.6.1 #6) may not have a major effect on the photo-Z methods used by the WG but it may impact on clustering redshift
• started using a clustering redshift package and looked at DC2 simulation data. Now trying to get this public python package (https://github.com/jlvdb/yet_another_wizz) to produce a sensibly clustered redshift. This is the same package as that used by the WG.
• Next step is to look at 2 cases - one with observational effect and one without - and see how the clustering redshift changes

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11/AUG/22

• @hangqianjun currently generating a set of weights for the random catalog in order to apply the clustering redshift method referred to in the previous comment

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25/AUG/22

• Note in the Jul-Sept'22 quarterly plan the task "Set up and familiarise with YAW software for clustering studies." is covered by the work described in this ticket

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15/SEP/22

• details to be discussed by @hangqianjun and @joachimi