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20180914_decorr [2018/09/14 15:08] – pryke | 20180914_decorr [2018/09/14 15:22] (current) – pryke | ||
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In this post I look at the decorrelation of the dust and sync patterns by comparing cross-spectra to the | In this post I look at the decorrelation of the dust and sync patterns by comparing cross-spectra to the | ||
geometric mean of auto-spectra (the lower right panel of each plot). | geometric mean of auto-spectra (the lower right panel of each plot). | ||
- | We see that only the 98 and 99 (multi-layer and Vansyngel) models are significantly decorrelated in dust. | + | We see that only the 98 and 99 (multi-layer and Vansyngel) models are significantly decorrelated in dust, |
+ | and none of them are significantly decorrelated in sync. | ||
I take the power spectra using anafast and the soft edge mask shown below. | I take the power spectra using anafast and the soft edge mask shown below. | ||
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{{180914_fm.gif}} | {{180914_fm.gif}} | ||
- | *Dust plots* | + | To recap the models are: |
+ | |||
+ | * 00=Toy Gaussian models for dust and sync with uniform amplitude over the sky at level appropriate for the BICEP/Keck patch (i.e. way too low for PICO large sky coverage). | ||
+ | * 91=PySM a1d1f1s1 [[https:// | ||
+ | * 92=PySM a2d4f1s3 | ||
+ | * 93=PySM a2d7f1s3 | ||
+ | * 96=Brandon' | ||
+ | * 98=MKD multilayer dust model as described in [[https:// | ||
+ | * 99=Vansyngel model as described in [[https:// | ||
+ | |||
+ | So we have 7 models for dust and 5 for sync. | ||
+ | |||
+ | **Dust plots** | ||
{{180914_f0.gif}} | {{180914_f0.gif}} | ||
{{180914_f1.gif}} | {{180914_f1.gif}} | ||
{{180914_f2.gif}} | {{180914_f2.gif}} | ||
- | {{180914_f3.gif} | + | {{180914_f3.gif}} |
{{180914_f6.gif}} | {{180914_f6.gif}} | ||
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{{180914_f9.gif}} | {{180914_f9.gif}} | ||
- | *Sync plots* | + | **Sync plots** |
{{180914_f0s.gif}} | {{180914_f0s.gif}} |