TITAN Meeting
Friday, June 27th
COLOURS
AstroStatistics Summer School
(With Hubert): PnP Mass Mapping
Wavelet ℓ1-norm theory validation (with Vilasini)
Testing impact of baryonic effects on WL HOS
Testing impact of baryonic effects on WL HOS
Results: Impact of baryons
Scale 1 (~7arcmin)
Scale 2 (~14arcmin)
Results: BNT (tomographic)
Scale 1 (~7arcmin)
Multiscale
Results: Neural Summaries (VMIM)
WST on the sphere (JAX)
TITAN Meeting
Friday, May 16th
(With Hubert): PnP Mass Mapping
Wavelet ℓ1-norm theory validation (with Vilasini)
pyro_mcmc
Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling
Testing impact of baryonic effects on WL HOS
Testing impact of baryonic effects on WL HOS
Results: Impact of baryons
Scale 1 (~7arcmin)
Scale 2 (~14arcmin)
BNT transform
- BNT Transform: A method to “null” or remove contributions from unwanted redshift ranges.
- It reorganizes the weak-lensing data so that only specific redshift ranges contribute to the signal, making it easier to analyze.
- It focuses on isolating lensing contributions by sorting out overlapping signals.
Results: effect on statistics
Results: BNT (tomographic)
Scale 1 (~7arcmin)
Multiscale
TITAN Meeting
Friday, March 7th
Paper
Mass mapping impact paper extension
Investigate the same thing within an ILI framework → no need for covmat, allows to investigate bias in a more proper way, allows for use of other statistics (e.g. NN-based statistics)
Project (Hubert): PnP Mass Mapping
-
Develop a new mass-mapping method based on Plug-and-Play that provides a fast reconstruction with uncertainty quantification and is trained once
-
Plug-and-Play → framework that allows to combine deep denoising algorithms with optimization algorithms to solve inverse problems
-
Some nice results for KappaTNG with a simple U-Net denoiser
Train on cosmoSLICS:
- 25 cosmologies
- Make the algorithm robust for different cosmologies suitable for inference
Wavelet ℓ1-norm theory validation (with Vilasini)
- Vilasini has a theoretical prediction for the wavelet ℓ1-norm, for any cosmology.
- Goal: validate this theory by producing contours with this theory, and compare them to the contours obtained from the simulations.
-
Approach
- calculate the wavelet ℓ1-norm on cosmoSLICS maps, interpolate with GPR emulator, and produce contours
- instead of using the emulator, use the theoretical prediction to produce contours
Euclid (HOWLS) keypaper 2
Cosmic shear higher-order statistics analysis of DR1 data with theory
- Do an analysis of Euclid DR1 with theory-based HOS (1PDF, ℓ1-norm, Minkowski/Betti numbers,...)
- Would like to use the wavelet ℓ1-norm emulator.
- (also co-lead the mass-mapping brick in HOWLS)
Project: Testing impact baryonic effects on WL HOS (+BNT)
Idea - Explore two things:
- Information content of summary statistics as a function of scale cuts
- Testing the impact of baryonic effects on posterior contours
This will show:
- On what range of scales can the different statistics be used without explicit model for baryons
- Answer the question: how much extra information beyond the PS these statistics can access in practice
Some initial results
BNT transform
- When we observe cosmic shear, contributions come from mass at different redshifts (distances).
- This creates projection effects: large and small-scale structures get mixed up.
- These effects make it harder to accurately analyze data and extract information
BNT transform
- BNT Transform: A method to “null” or remove contributions from unwanted redshift ranges.
- It reorganizes the weak-lensing data so that only specific redshift ranges contribute to the signal, making it easier to analyze.
- It focuses on isolating lensing contributions by sorting out overlapping signals.
Some results
Some results
TITAN meetings
By Andreas Tersenov
