generated from erosita/uds
Acknowledgements
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@@ -16,11 +16,11 @@ Calibrates Crab detector count rate model.
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### 01_crabmodel_plot_poly.py
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Plot long-term Crab detector count rate approximated by cubic polynomial function (Fig. B7 in paper).
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Plot long-term Crab detector count rate approximated by cubic polynomial function (Fig. B8 in paper).
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### 01_crabmodel_plot_sys.py
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Plots the normalized distribution of the residuals between the IBIS/ISGRI Crab count rate and the corresponding polynomial fit (Fig. B8 in the paper). The distribution is approximated with a Gaussian function.
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Plots the normalized distribution of the residuals between the IBIS/ISGRI Crab count rate and the corresponding polynomial fit (Fig. B9 in the paper). The distribution is approximated with a Gaussian function.
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### 02_grxe_resid.py/02_grxe_resid.sh
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@@ -28,9 +28,9 @@ Calculates difference between detector count rate and that predicted by backgrou
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### 02_grxe_resid_plot.py
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Plots normalized distribution of the relative residuals of the background model obtained in three energy bands for BKG region (Figs. A5 and A6 in the paper).
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Plots normalized distribution of the relative residuals of the background model obtained in three energy bands for BKG region (Figs. A6 and A7 in the paper).
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### 02_grxe_map.py/03_grxe_map.sh
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### 03_grxe_map.py
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Makes the map of the residuals in mCrab units (not shown in the paper).
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