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| 20181025_aps_sevem_m92 [2018/11/01 00:13] – created grocha | 20181025_aps_sevem_m92 [2018/11/01 00:14] (current) – grocha | ||
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| We report here the Band Power Spectra and parameters estimated for the component separation methods applied to Simulated data. For each method we estimate the full sky band power spectra with Xfaster, propagate to parameters with a Gaussian correlated Likelihood, and sample parameters with CosmoMC, marginalizing over tailored foreground residual templates. In addition we consider a hybrid likelihood: BFlike (pixel based likelihood) at low-l and XFlike (Xfaster likelihood) at high-l. | We report here the Band Power Spectra and parameters estimated for the component separation methods applied to Simulated data. For each method we estimate the full sky band power spectra with Xfaster, propagate to parameters with a Gaussian correlated Likelihood, and sample parameters with CosmoMC, marginalizing over tailored foreground residual templates. In addition we consider a hybrid likelihood: BFlike (pixel based likelihood) at low-l and XFlike (Xfaster likelihood) at high-l. | ||
| - | We show Bandpowers and residuals for SEVEM maps for Model92, all frequencies and both apodized masks fsky25 and fsky50. | + | We show Bandpowers and residuals for SEVEM maps for Model 92, all frequencies and both apodized masks fsky25 and fsky50. |
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