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Python module to access Measurement Sets' quality statistics produced by aoflagger, aoquality or DPPP.

Project description

pyaoquality

Python module to access Measurement Sets' quality statistics produced by aoflagger, aoquality or DPPP.

Installation

pyaoquality can be installed via pip:

$ pip install aoquality

and requires Python 3.6.0 or higher.

Usage

Example to retrieve baseline statistics:

aoq = aoquality.AOQualityBaselineStat(ms_file)

# plot SNR as function of baseline length:
plt.plot(aoq.blenght, aoq.SNR)

# plot SNR as function of first antenna:
plt.plot(aoq.ant1, aoq.SNR)

To retrieve time statistics:

aot = aoquality.AOQualityTimeStat(ms_file)

# plot RFI percentage as function of time:
plt.plot(aot.time, aot.RFIPercentage)

To retrieve frequency statistics:

aof = aoquality.AOQualityFrequencyStat(ms_file)

# plot Std as function of frequencies:
plt.plot(aof.freqs, aof.Std)

Command line tool

There is also a command line tool, aostats, which usage is as follow:

Usage: aostats plot [OPTIONS] MS_FILES... [Mean|Std|DStd|Count|DCount|Sum|DSum
                    |DSumP2|Variance|DVariance|SNR|RFICount|RFIPercentage]

  Plot Statistics from AO Quality Tables

  MS_FILES: Input MS files STAT_NAME: Statistic Name

Options:
  -o, --out_prefix TEXT    Prefix to the output filename  [default: stat]
  -p, --pol INTEGER RANGE  Polarization index: 0->XX, 1->XY, 2->YX, 3->YY
                           [default: 0]

  --log                    Plot in log scale
  --vmin FLOAT             Minimum value
  --vmax FLOAT             Maximum value
  --name TEXT              Title of the plot
  --help                   Show this message and exit.

Project details


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