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EU FP6 ALMA Enhancement: Work Package 5 Highlights since last F2F & Plans
Nikolic, Richer & Bolton
Cavendish Laborator y/Kavli Institute University of Cambridge

10 June 2011 Cambridge

(University of Cambridge)

June 2011

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Overview

Rosie Bolton joined the team wvrgcal mailing list for community suppor t (20 subscribers) Analysis of test data repor ts, JIRA tickets Numerous wvrgcal improvements, bug-fixes Binary distributions of wvrgcal Paper for URSI conference, ESO Messenger ar ticle Commissioning trip April 2011 Analysis of statistical proper ties of the atmosphere Initial look at Science Verification data

(University of Cambridge)

June 2011

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Analysis ­ dry fluctuations
0.10

0.05

0.00

Green & Blue: Path estimated from WVRs; Turquoise: Obser ved Path; Red: Corrected Path
(University of Cambridge) June 2011 3/8

0.05 0.10
8.0 8.2 8.4 8.6 8.8 9.0 9.2


Improvements to wvrgcal

Much improved informational output from wvrgcal Dealing with `TSys' (i.e., hot/cold load calibration) scans Output of field ids, cal descs, etc to the calibration table Much better inter polation of flagged WVRs Realigned sign convention with ALMA V8 software Updates to new versions of CASA

(University of Cambridge)

June 2011

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wvrgcal diagnostic/QA output

Antenna/WVR information: ----------------------------------------------------------------------Name WVR? Flag? RMS (um) Disc (um) 0 DV01 Yes No 283 36.5 1 DV04 Yes No 273 31.3 2 DV05 Yes No 285 28.7 3 DV06 Yes No 277 27.6 4 DV07 Yes No 282 27.3 5 DV09 Yes No 285 27.5 6 DV10 Yes No 283 27.2 7 DV11 Yes No 282 30.8 8 DV12 Yes No 281 27.9 9 PM01 Yes No 275 29.5 10 PM03 Yes No 280 29 Expected performance -----------------------------------------------------------------* Estimated WVR thermal contribution to path fluctuations (micron per antenna): 13.5088 * Greatest Estimated path fluctuation is (micron on a baseline): 96.292 * Rough estimate path error due to coefficient error (micron on a baseline): 1.04389

(University of Cambridge)

June 2011

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Science Verification data

Released with wvrgcal-derived phase correction tables! Interacted with Cr ystal Brogan and Ed Fomalont on ensuring the integrity of supplied calibration tables Star ting now to look at SV data in detail, determining the impact of WVR-calibration on science quality

(University of Cambridge)

June 2011

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Planning

Effor t

Task

Approx Dates June/July June/July June/July June-Dec. August October ? June-Dec November ?

1 P-M Completion of atmospheric statistics memo 1 P-M Analysis of first few SV projects 1 P-M Memo on Quality Control/Assurance 3 P-M Writing a refereed paper & publication process 1 P-M URSI General Assembly 1.5 P-M Commissioning trip October + All hands 1 P-M OS-X por t and check-out 1 P-M wvrgcal maintenance/suppor t 1 P-M wvrgcal User Manual and Design Description 0.5 P-M? Fur ther development of wvrgcal PM=Person-Month

(University of Cambridge)

June 2011

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Fur ther work
Help with planning and analysis of SV and Cycle 0:
Is WVR application working as expected? What is the best way to apply the correction? What is the impact on the scientific quality of the data? When are conditions right for obser ving par ticular project? What phase switching times should be used?

Fur ther development of wvrgcal
Baseline-based correction to work around faulty WVRs Non-linear correction (better transfer of phase across the sky) More quality-assurance outputs Techniques to deal with clouds?

Fur ther analysis:
Dr y fluctuations and can anything be done about them? Evidence for more sophisticated models, e.g., multiple water vapour layers?

Lots more...
(University of Cambridge) June 2011 8/8