Description
Identical to mean except that the cutoff level is the peak value times flevel.
Also, you can optionally supply a noise estimation (the rms argument). This is
subtracted from the peak value before it is multiplied by flevel. The returned
fields here are nearly identical to those in mean. The only difference is
that there is a peak field here instead of mean. That is the actual peak, not
the value reduced by rms.
Example
- d.msr().peak(flevel=0.5,usecurs=T)
[fluxint=91.9571165, vel=1108.78946, vwidth=105.650325, level=0.610705972,
limits=[330.404096 350.418538] , type=peak, peak=1.22141194]
Arguments
| lv |
|
an SDRecord |
| |
|
Allowed: |
SDRecord - Not enabled |
| |
|
Default: |
F |
| first |
|
first channel number in range to integrate |
| |
|
Allowed: |
integer |
| |
|
Default: |
F |
| last |
|
last channel number in range to integrate |
| |
|
Allowed: |
integer |
| |
|
Default: |
F |
| flevel |
|
fractional flux level |
| |
|
Allowed: |
float |
| |
|
Default: |
0.3 |
| rms |
|
rms of spectrum |
| |
|
Allowed: |
float |
| |
|
Default: |
0. |
| usecurs |
|
optionally set ranges with cursor |
| |
|
Allowed: |
boolean |
| |
|
Default: |
F |
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