MIPS Campaign Start-up Activities, Si Only

Principal: dmkelly
Deputy: cengelbracht
Data Monkey(s): Do Ball software engineers count as monkeys?
Priority: Necessary
Downlink Priority: Normal
Analysis Time: 24h
Last Updated:

Objective

Prepare the MIPS Si array for science operations by executing a standard set of MIPS turn-on tasks.

Description

1) Turn on power to the combined electronics
2) Transition from OFF to MIPS_OBSERVE
3) Perform thermal anneals on the Si array
4) Point the telescope to the first desired target
5) Before beginning the next IOC task, wait as necessary until
   30 minutes has elapsed since the CE power-on

Data Collected

Diagnostic data will be collected during the 24um thermal anneal.
160 samples will be collected on 1s intervals.  The items are:
 1. D24TmpA      2. D24TmpB     3. D160TmpA     4. D24AnnealCur  5. D70TmpA
 6. D160JnctTmp  7. D70BaseTmp  8. D160BaseTmp  9. D160StimTmp  10. CSMMTmp


CE_OFF_BOOT
CE_BOOT_OPR
MIPS_OPR_MRDY
MIPS_MRDY_MOBS
  ColDiag_24TMP_MIPS
    Si_Anneal_Heat_MIPSA_MIPS
  DumpDiag_MIPS

Data Reformatting Requirements

Array Data Desired:

CECOLDIAG data -- into spreadsheet format

Data Reformatting Option:

Special Instructions:






Task Dependencies






Calibration Dependencies






Output and Deliverable Products

We will generate plots of temperature versus time for each of the
CECOLDIAG items during the thermal anneal.  We will record maximum 
temperatures for D24TmpA and D24TmpB and maintain these results in 
a database.  Relevant ancillary data (TBD) will also be entered in 
the database.  



Data Analysis


Step-by-step analysis:
1) Obtain the diagnostic data.  This seemingly obvious step is called
   out because these data might not be delivered with the usual science data.
   They will not go through tranhead, nor through the SSC pipeline.  
2) Generate plots of temperatures from all three thermal anneals and
   compare to ground test data.  The necessary software is presented in
   the cookbook for mips-015, along with the ground test results.
3) The diagdump tool should be modified to allow overplotting of multiple
   anneal temperature profiles.  Once the repeatability of the anneal
   profiles is developed, a master anneal profile should be developed
   to serve as a reference thereafter.  At that point, the diagdump
   tool should be modified to always overplot the anneal profile with
   the master profile.  
4) Record the pre-anneal and maximum temperatures for D24TmpA and D24TmpB
   in a table to be used for tracking during IOC.
5) If there are stability issues, gather up relevant telescope telemetry
   and look for correlations.





Software Requirements







Actions Following Analysis

Add the latest anneal maximum temperatures to a table of anneal temperatures
to be maintained during IOC.  If drifts are seen, collect appropriate
telescope temperatures and produce a report describing the amount of
variation, the root causes for these temperature changes, and any
important consequences.



Failure Modes and Responses

There are several possible failures.  If the anneal failed to happen,
we need to determine whether there was a scripting problem and get it
fixed.  We also need to inspect the subsequent data and see if it is
usable.  The data might need to be flagged for special handling, but
probably not since the offset drifts are pretty minimal.  If the heater
failed, we need to assess whether a CE side swap is warranted.  If the
array did not reach the desired temperature, we need to check that
the anneal duration and current were as planned, and we need to assess
whether thermal conductances have changed since ground testing.  If the
CECOLDIAG data are corrupted, we need to determine first and foremost
whether the anneal happened, and then we can check for scripting errors.




Additional Notes

See the notes from MIPS-015 for results from ground testing.