Supplementary Plots and Material

This chapter is a collection of plots which are supplementary to the explanation and the plots in the other chapters.

Effective Area

_images/Aeff.png

Fig. 27 The effective area \(A_{eff}\) in dependency of the energy assuming an astrophysical spectral index of \(\gamma=2.13\)

Significance Plots

_images/s_vs_ns_gaussexpconvolv.png

Fig. 28 Significance Plot for \(\gamma=2.13\)

_images/s_vs_ns_gaussexpconvolv1.png

Fig. 29 Significance Plot for \(\gamma=2.0\)

Power-Spectrum Distribution

Shown is the power spectrum for pure signal maps (all events clustered). Hence for small \(N_{Sou}\) the corresponding \(\mu\) is pretty large.

_images/Powerspectra_distribution_l1.png

Fig. 30 The probability distribution of the power spectra for l=1

_images/Powerspectra_distribution_l10.png

Fig. 31 The probability distribution of the power spectra for l=10

_images/Powerspectra_distribution_l100.png

Fig. 32 The probability distribution of the power spectra for l=100

_images/Powerspectra_distribution_l500.png

Fig. 33 The probability distribution of the power spectra for l=500

Significance Check

Only important when testing astrophysical models.

_images/check_sigma[15,10,1,1].png

Fig. 34 Comparison of the significance of simulated multi-mu skymaps with the integral calculation

_images/check_sigma[16,7,4,3,1,1].png

Fig. 35 Comparison of the significance of simulated multi-mu skymaps with the integral calculation

_images/check_sigma[300,60,30,15].png

Fig. 36 Comparison of the significance of simulated multi-mu skymaps with the integral calculation