# Difference between revisions of "Harvard-2017:T3"

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+ | Some suggested discussion topics: | ||

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+ | - All subjects: what are next steps for the group in i) sky modeling ii) component separation iii) lensing bias estimation iv) high-ell foreground cleaning and optimization v) delensing simulation | ||

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+ | - FG modeling / cleaning: would realistic levels of decorrelation (or other effects) substantially change the optimization? What is enough complexity in foreground modeling? Can we get more data? | ||

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+ | - Lensing, biases: what is the current take-home, how can we converge? | ||

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+ | - Lensing cleaning, optimization: is current cleaning too conservative? How can we decide on frequency requirements? | ||

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+ | - Lensing, delensing sims: issues and challenges, quadratic and max like? | ||

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+ | - All topics (discussion at end): For next steps, what are our highest priorities? | ||

== Notes from session == | == Notes from session == |

## Revision as of 08:28, 24 August 2017

Back to Harvard-2017 main page

## Parallel Session T3: Sim WG: sky modeling, component separation and lensing reconstruction(Chair: Blake Sherwin) [Jefferson 256]

See draft schedule below. (post talks here)

- [[File: ]]

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Part 1 (20 mins) - Sky Modeling and Component Separation (moderated by Raphael, Blake may help with discussion)

- Update on recent work in sky modeling / component separation (~10 mins, Raphael)

- Discussion: open questions and (in particular) what are the next steps? (~10 mins, Raphael)

Part 2 (20 mins) - Lensing (moderated by Blake)

Short updates / talks about recent work with lots of discussion:

- auto / delensing foreground bias estimation (5 mins slides + 3 mins discussion, Alex)

- small scale frequency cleaning / optimization, one or two slides (2+2 mins, Colin H.)

- simulating delensing pipelines / delensing templates (brief update 2+2 mins, Kyle)

- Discussion: what should we work on next? (4 mins on future work, Blake)

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Some suggested discussion topics:

- All subjects: what are next steps for the group in i) sky modeling ii) component separation iii) lensing bias estimation iv) high-ell foreground cleaning and optimization v) delensing simulation

- FG modeling / cleaning: would realistic levels of decorrelation (or other effects) substantially change the optimization? What is enough complexity in foreground modeling? Can we get more data?

- Lensing, biases: what is the current take-home, how can we converge?

- Lensing cleaning, optimization: is current cleaning too conservative? How can we decide on frequency requirements?

- Lensing, delensing sims: issues and challenges, quadratic and max like?

- All topics (discussion at end): For next steps, what are our highest priorities?

## Notes from session

## Action items/Next steps

Summarize action items here