[HACK] IA Modeling code comparison

[aniruddh-herle]

Summary

Given the same data vector as input, different modeling codes should produce the same parameters as output. It would be a very useful consistency check if every available IA modeling code is used to fit the same measurement, and the posteriors are consistent with each other.

Leads & Contacts

• Lead(s): @aniruddh-herle

Proposed Timing & Format

• Preferred day(s): No preference
• Duration: Maybe 90 mins, might need more time
• Modality: hybrid
• Session type: working session

Team / Participants (initial list)

• open to anyone interested in validating their code

Goals & Deliverables

• A plot of model vs data for wgg and wg+ with residuals with models from all participating codes
• A plot of parameter posteriors for all available model combinations, linear/ non-linear bias + NLA/ TATT

Approach / Tasks

• I share my pre-computed measurements of wgg and wg+ with participants
• Everyone attempts to model the data with their own codes
• We compare outputs

Data / Dependencies

• I will share wgg and wg+ calculated using IACorr on z=0 snapshot of the FLAMINGO 2.8 Gpc run

Resources Needed

• Room to work together

Outputs & Sharing

• Will make folder in the echoIA github repo
• Final slides with the deliverables marked out above

Related Items

• None

Checklist

• [✔] Lead(s) can attend at proposed time(s)
• [✔] License/permissions for data/software are clear
• [✔] Agree to the Code of Conduct