Moderator: Alexander van Engelen
Presentation materials (upload).
2:00pm-2:10pm - Simone Ferraro - Analytical approach to lensing on small scales
2:15pm-2:25pm - Victor Chan - A map-based estimator for CMB lensing at small angular scales (l>3000) using local statistics
2:30pm-2:40pm - Blake Sherwin - New methods for small-scale CMB lensing reconstruction
2:45pm-2:55pm - Srinivasan Raghunathan - Cluster lensing of the CMB
3:00pm-3:10pm - Dominic Beck - Post-Born effects in CMB lensing
3:15pm-3:25pm - Pavel Motloch - On lensing-induced covariances
3:30pm-4:00pm - CMB Lensing-1 discussion panel: Simone Ferraro, Victor Chan, Blake Sherwin, Srinivasan Raghunathan, Dominic Beck, Pavel Motloch
Guiding discussion questions:
What is the main challenge to high-res CMB lensing measurements? Foreground cleaning?
What are the computational requirements, influence of biases / foregrounds, and optimality of various small scale lensing reconstruction techniques?
Could machine learning/deep learning play a useful role in small-scale lensing reconstruction?