System noise temperature Anh Phan, Yanlin Wu 10/17/2019 Methods - - PowerPoint PPT Presentation

system noise temperature
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System noise temperature Anh Phan, Yanlin Wu 10/17/2019 Methods - - PowerPoint PPT Presentation

System noise temperature Anh Phan, Yanlin Wu 10/17/2019 Methods Noise sources and daytime data are masked. Filter out high frequency components in the visibility with a Fourier low pass filter to get a fit of the raw data. The rms of


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SLIDE 1

System noise temperature

Anh Phan, Yanlin Wu 10/17/2019

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SLIDE 2

Methods

  • Noise sources and daytime data are masked.
  • Filter out high frequency components in the visibility with a Fourier

low pass filter to get a fit of the raw data.

  • The rms of the residuals (raw data minus fit) is calculated.
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SLIDE 3
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SLIDE 4

Autocorrelation from raw 2018 data

  • Histogram for 32 auto-correlation baselines.
  • Middle frequency channel (255).
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SLIDE 5
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SLIDE 6
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SLIDE 7

rms of residuals (raw data, 1s bin, no freq binning)

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SLIDE 8
  • Histogram for 480 cross-correlation baselines.
  • Middle frequency channel (255).

From Eq. 5 From Eq. 3 From Eq. 3

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SLIDE 9

Uncalibrated system temperature vs. integration time

From Eq. 4

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Map making

Anh Phan 04/30/2019

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Uncalibrated map without and with the monopole term 2018 North Pole Map

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Uncalibrated map without and with the monopole term 2018 North Pole Map

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SLIDE 13

NCP Map Calibrated by PsCal2 2018 North Pole Map

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SLIDE 14

Uncalibrated map without and with the monopole term 2017 CasA data

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SLIDE 15

Uncalibrated map without and with the monopole term 2017 CasA data (scale changed)