[SPRINT] Fisher Forecast

[hsnee]

Fisher Forecast

Fine-tuning Fisher forecast for studying the impact of different pz error models on cosmological parameters.

Contacts: @hsnee @MarkusMichaelRau (@ husni and @ MMR on slack) Day/Time: Wed-Fri Main communication channel: slack (channel TBD) GitHub repo: https://github.com/hsnee/PZ_project/

See these slides for more detailed description of the sprint: https://docs.google.com/presentation/d/1mhKIcE33yLF6sQJX6Qf0CSTA3LrweTpslEW8RPrMjOc/edit?usp=sharing

Goals and deliverable

We have created a Fisher forecast for studying the effect of varying photo-z error models on cosmological parameters. We need help including a few ingredients in the Fisher Forecast. In particular, we're aiming to include:

• non-Gaussian covariance.
• luminosity dependence of intrinsic alignment.

Resources and skills needed

Our forecast uses CCL in Python. Any code for non-Gaussian covariance or luminosity-dependence of IA will help.

[c-d-leonard]

Hey @hsnee @MarkusMichaelRau can I help with this? I am on Europe-time but if there's something I can help with let me know.

[hsnee]

Hey @hsnee @MarkusMichaelRau can I help with this? I am on Europe-time but if there's something I can help with let me know.

Hi @c-d-leonard, yes please, that would be great -- I'll message you on slack with details.

[nikosarcevic]

Hi, I would like to join this sprint. If anyone has any tips on how to start, what to do, etc. I'd appreciate it much. I will start reading about it until I get some tips. Please, keep in mind I am new to this so be gentle :insert anxious emoji:

[hsnee]

Hi @nikosarcevic, thanks for joining this sprint! I will share a notebook with you today with the issues we are trying to solve. For now, please see the slides and the references in them for more background information on the project. Thanks!