Difference: SpireCalibrationWeb (77 vs. 78)

Revision 782013-03-07 - LucaConversi

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META TOPICPARENT name="WebHome"

SPIRE instrument and calibration web pages

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    • Currently, the quality flags at the quality context inside the observation context are just meant for HSC/ICC internal evaluation of the quality of the products and not for the users. In case the data had some serious quality problem, the PI of the program has been contacted about it. Otherwise, only information in the quality summary, when available, should concern the observers.

Known Issues in ODs 1304 & 1305

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  • For (yet) unknown reasons, the three detectors PSW-B5, PSW-E9 and PSW-F8 - that use to behave well during the entire mission - were noisy during the two operational days 1304 and 1305. The result are stripes visible in the final PSW map which the current (HIPE 10) pipeline is not able to correct. The solution is to mask and exclude these detectors from the analysis. This could be done in 2 ways:
    • You can use the SpireMaskEditor GUI as described in sec. 7.4.2 of the SPIRE Data Reduction Guide: write-click on your observation context variable and then select Level1_SpireMaskEditor and set to MASTER all
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For (yet) unknown reasons, the three detectors PSW-B5, PSW-E9 and PSW-F8 - that use to behave well during the entire mission - were noisy during the two operational days 1304 and 1305. The result are stripes visible in the final PSW map which the current (HIPE 10) pipeline is not able to correct. The solution is to mask and exclude these detectors from the analysis. This could be done in 2 ways:
  1. You can use the SpireMaskEditor GUI as described in sec. 7.4.2 of the SPIRE Data Reduction Guide: write-click on your observation context variable and then select Level1_SpireMaskEditor and set to Master all samples in all scans (listed as BBID) for the detectors mentioned above.
  2. Alternatively, you can use the following line of codes:

##### EDIT MASK SCRIPT BEGINS #####

# List of detectors to be masked
bolos = ['PSWB5', 'PSWE9', 'PSWF8']

# Level1 of your observation, assuming the observation context varible is named 'obs'
level1 = obs.level1

# Create new level 1
new_l1 = Level1Context()

for scan in range(0, level1.getCount()):
   #
   # Load level 1 product, scan by scan
   data = level1.refs[scan].product
   #
   # Change mask for selected detectors in all scans, setting it to MASTER
   for bolo in bolos:
      data['mask'][bolo].data[:] = 1
   #
   new_l1.addProduct(data)

##### EDIT MASK SCRIPT ENDS #####

  • After either of those cases, you must then re-run level 1 to 2 steps on the newly modified level1 product. If your observation has been already re-reduced with HIPE 10, original and new level1s are already destriped, so you can directly run the naive map-maker on the new level1. Otherwise, you must run the destriper step: check the pipeline script for details.
 

Source Extraction and Photometry

 
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