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3 Results

The attached figures show several examples of the comparison between the standard AAR product (crosses) and the non-deglitched AAR (asterisks).

 
Figure 1: Good AOT 1 line fitting (click here)

 
Figure 2: Bad AOT 1 line fitting (click here)

Table 1 displays the results of the line flux calculation after a Gaussian fit, for all those lines in the three observations in which points flagged as glitched were found.

 

Source Line Line flux Line flux %
( tex2html_wrap_inline103 m) standard AAR non-deglitched AAR discrepancy
(W cm tex2html_wrap_inline105 ) (W cm tex2html_wrap_inline105 )
1 24.31 4.70 tex2html_wrap_inline109 5.31 tex2html_wrap_inline109 11.5
25.88 7.79 tex2html_wrap_inline109 8.78 tex2html_wrap_inline109 11.3
2 15.55 4.81 tex2html_wrap_inline109 6.11 tex2html_wrap_inline109 21.3
3 10.51 3.01 tex2html_wrap_inline121 5.48 tex2html_wrap_inline121 45.1
15.55 3.88 tex2html_wrap_inline121 1.10 tex2html_wrap_inline109 64.7
25.88 3.38 tex2html_wrap_inline121 4.77 tex2html_wrap_inline121 29.1
Table 1: Comparison between different processing methods

 

The results of the analysis are:

1.
Most spectral lines are not affected by glitch  removal.

2.
In few lines, some points at the wings of the line are flagged as glitched, causing the line profile in this region to deviate from the non-deglitched one.

3.
In few lines, many points belonging to the line are flagged as glitched. Glitch removal applied to these points introduces a substantial error in the line profile and in the line flux.

4.
For those cases described above, the non-deglitched line profiles can be fitted by a Gaussian function much better than the deglitched ones.


next up previous
Next: 4 Conclusions Up: Glitch removal effects on Previous: 2 Processing

A.M. Heras
7 January 1997