Details
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Enabler
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Should have
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None
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Data Processing
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4
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4
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0
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Team_SCHAAP
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Sprint 4
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17.5
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Demonstrated, Satisfies Acceptance Criteria
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DP-SDP: G3
Description
DP3 contains a number of highly useful processing steps that are needed to enable image reconstruction workflows to achieve high-quality imaging results. These processing steps are defined as DPSteps and include operations like
- Direction-independent (DI) calibration, including frequency-based solution constraints.
- Correction of visibilities for DI effects
- Data averaging over time and frequency, including Baseline-Dependent Averaging (BDA)
- Direction-dependent (DD) calibration with advanced features such as adjustable solution intervals over time, frequency and direction, application of (smoothness) constraints on the solution and ability to work on BDA-ed visibilities.
- Combining antennas / stations into a 'superstation'.
- Phase-shifting.
A generic Python wrapper for the DPStep would facilitate integration of processing functions in DP3 in a RASCIL workflow.
Who?
- Commissioning scientist
- Astronomer
What?
- Generic Python wrapper for a DPStep
Why?
- DP3 offers advanced functionality that is field-tested in LOFAR production pipelines and, in some cases, not available otherwise. Much of this functionality will be essential for astronomers using SKA-LOW. Even commissioning scientists will benefit from a number of basic functions (flagging, DI calibration, averaging) provided by DP3.
Attachments
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