1. Delensing :
1.1 Variance spectrum
muKarcmin | 0.1 | 1.0 | 5.0 |
Bicep | | | |
LiB | | | |
1.2 Window matrices
Delens | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 |
Bicep, 0.1 muK | | | | | | |
LiB, 0.1 muK | | | | | | |
2. Modes mixing :
2.1 Bicep, Window matrices ns 64 Vs ns 128 :
Pixelization effect due to lmax :
- bservations :
- The last bins suffer from the same E/B leakage than for ns128. We conclude this is due to the pixelization effect.
2.2 E to B leakage
Modes
Modes contributions to the BB-spectrum reconstruction, computed from the renormalized modes-mixing matrix {$\bar F_{\ell\ell'} \equiv F_{\ell\ell'} / \sum_{\ell''} F_{\ell\ell''}$}. All {$\ell'$}-modes contributions are shown for to three bins {$\ell$}'s respectively selected at lower (blue), intermediate (red), and higher (green) angular scales. Each upper panel quantifies the E contributions (E-to-B leakage) computed from the $EB$ block of {$\bar F_{\ell\ell'}$}. Lower panels quantify the BB contributions. Tegmark explains that {$\bar F_{\ell\ell'} $} quantifies the E-B leakage, and is equals to a kronecked delta function on full sky.
| 0.1 | 1.0 | 5.0 | 10.0 | 20.0 | 50.0 |
Bicep | | | | | | |
LiB | | | | | | |
EB diagonals mixing
| 0.1 | 1.0 | 5.0 | 10.0 | 20.0 | 50.0 |
Bicep | | | | | | |
LiB | | | | | | |
- observation :
- The E-to-B leakage is mostly dominant at large angular scales for the reionization survey, then decreases with {$\ell$}.
- For the recombination survey, we observe the same beahaviour at high noise level, and the opposite behaviour for low noise levels (the leakage increases with $\ell$).
- The E-B leakage increases with noise.
2.3 B to E leakage
Same as for E to E
| 0.1 | 1.0 | 5.0 | 10.0 | 20.0 | 50.0 |
Bicep | | | | | | |
LiB | | | | | | |
- observation :
- The E-to-B leakage is mostly dominant at large angular scales for the reionization survey, then decreases with {$\ell$}.
- For the recombination survey, we observe the same beahaviour at high noise level, and the opposite behaviour for low noise levels (the leakage increases with $\ell$).
- The E-B leakage increases with noise.
2.4 E to B variance leakage
We basically do the same as above, but with the correlation matrix computed from the spectra of covariance matrix {$V_{\ell\ell'}$} (which is basically very close to {$F^{-1}_{\ell\ell'}$} )
modes :
| 0.1 | 1.0 | 5.0 | 10.0 | 20.0 | 50.0 |
Bicep | | | | | | |
LiB | | | | | | |
EB diagonals (variance leakage)
taking the absolute value of correlation for log scale plotting (their are actually negatives)
| 0.1 | 1.0 | 5.0 | 10.0 | 20.0 | 50.0 |
Bicep | | | | | | |
LiB | | | | | | |
Correlation matrix :
| 0.1 | 1.0 | 5.0 | 10.0 | 20.0 | 50.0 |
Bicep | | | | | | |
LiB | | | | | | |
3. Variance leakage
3.1 Surveys results :
- area is the difference between the {$ C_\ell{EE} \neq 0 $} and {$ C_\ell{EE} =0 $} (leakage VS no-leakage)
- the absolute leakge is compute as {$ (\Delta \hat C^{\text{leak}}_\ell - \Delta \hat C^{\text{no-leak}}_\ell)/\Delta \hat C^{\text{no-leak}}_\ell $}
spectrum + absolute leakage | | |