Difference between revisions of "UMICH-2015: CMB-Lensing break-out session 2"

Revision as of 17:45, 20 September 2015

Blake, ~10 min, File:Delensing.pdf (delensing intro, reviewing delensing performance, internal vs external delensing) Questions for discussion

Experiment design
- Can we combine different experiments, and is it worth having two different noise levels on two experiments (high-res + low-res)
Algorithms - Quadratic Estimator / Iterative / Sampling
- What is the best algorithm to use?
- How low ell do we use/need for reconstruction?
Systematics and Delensing
- Dust foregrounds and sources - how do they propagate through the delensing procedure? How much do they matter?
- Instrumental systematics, higher order biases, LSS non-Gaussianity - any concerns for delensing?
Analysis of Delensed Maps
- What are the statistical and noise properties of the delensed maps? How to construct likelihoods?

Questions for discussion:

weak lensing calibration: cross-correlations with LSST / Euclid / ... weak lensing
- how precise are the correlations?
- is this level of multiplicative bias calibration interesting?
- are intrinsic alignments a limiting factor?
clustering from correlations with DESI/Euclid/LSST galaxies / quasars / ...
- how well can biases be modeled and constrained?
- can these observables be used cleanly and powerful enough to detect neutrino mass?
- what are the key science drivers in extragalactic astrophysics?
other surveys
- would overlap with external datasets gain from a northern site?

@@ Line 7: / Line 7: @@
 #Algorithms - Quadratic Estimator / Iterative / Sampling
 #*What is the best algorithm to use?
-#*Cuts at low ell or renormalization?
+#*How low ell do we use/need for reconstruction?
 #Systematics and Delensing
 #*Dust foregrounds and sources - how do they propagate through the delensing procedure? How much do they matter?