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Observing with the Ka band Receiver

Information for observers and their GBT friends.

Quick links:

Design summary

The Ka band receiver is built according to a pseudo-correlation design intended to minimize the effect of 1/f gain fluctuations for continuum and broadband spectral line observation. A block diagram of the Ka band receiver is shown below.

The design and operating principles of pseudo-correlation receivers in general and this receiver in particular are discussed by

Simply put, this architecture allows a beamswitch to occur before the first stage HEMT amplifiers (in effect) without the excessive price and spectral band limitations that can be incurred by placing traditional dicke switching circulators at this point in the system. One disadvantage is that due to imperfections in the RF hardware, some crosstalk is evident in channels that nominally see opposite feeds when the system is used in total power mode; crosstalk does not affect beamswitched photometric measurements. The IF conversion scheme for the Ka band receiver is also different from the existing GBT high frequency receivers, in order to accomadate delivery of the full receiver band to a future wideband spectrometer.

At 32 GHz the beam fwhm is about 25 arcseconds. The beam separation is 1.35 arcminutes.

Commissioning Results & Current Status

The Ka band receiver was commissioned in the Fall and early Winter of 2004. Basic properties of the receiver (linearity, spectral response, and system temperature) were nominal. Beamswitched baselines on blank sky were seen to be almost negligible; while there is a 20 to 30 MHz ripple it appears to average down with the noise over tested integration times up to one hour. Under reasonable observing conditions (PWV < 15mm and no precipitation) system temperatures at zenith in the band center should be under 40 K. Repeatability of the relative calibration of spectral data on continuum sources is better than 20% in all known cases (users should bear in mind that even under benign conditions, the GBT antenna itself isn't guaranteed to deliver better than a 5% RMS in flux density measurements at these frequencies).

Baselines on blank sky, one hour of "clock on the wall" time (not all phases included in the average):

Baselines against a continuum source (calibration transferred from another continuum source) also showing the LO1 x2 harmonics near 29.33 GHz:

Some known issues:

Configuring and Observing with the Ka band Receiver

CONFIGURATION SCRIPTS

Observing Type Backend Freq Range Config Tool Script Turtle Script
Pointing and Focus DCR 32 GHz KaPtFocus.py KaPtFocus.tl
Spectral Line Beamswitched ACS 4 banks 800 MHz 26.0 - 28.9 GHz KaBswBp1.py KaBswBp1.tl
    28.1 - 31.0 GHz KaBswBp2.py KaBswBp2.tl
    30.0 - 32.6 GHz KaBswBp3.py KaBswBp3.tl
    32.2 - 34.8 GHz KaBswBp4.py KaBswBp4.tl
    34.4 - 37.0 GHz KaBswBp5.py KaBswBp5.tl
    36.0 - 38.6 GHz KaBswBp6.py KaBswBp6.tl
    37.4 - 40.0 GHz KaBswBp7.py KaBswBp7.tl
Spectral Line Total Power ACS 4 banks 800 MHz 26.0 - 28.9 GHz KaTpBp1.py KaTpBp1.tl
    28.1 - 31.0 GHz KaTpBp2.py KaTpBp2.tl
    30.0 - 32.6 GHz KaTpBp3.py KaTpBp3.tl
    32.2 - 34.8 GHz KaTpBp4.py KaTpBp4.tl
    34.4 - 37.0 GHz KaTpBp5.py KaTpBp5.tl
    36.0 - 38.6 GHz KaTpBp6.py KaTpBp6.tl
    37.4 - 40.0 GHz KaTpBp7.py KaTpBp7.tl

NOTE: Turtle scripts and config tool scripts only differ in trivial ways now, as you can see by comparing (absence of "g." etc, which are standard turtle things and nothing special to Ka band).

Frank also has equivalent, but now independently maintained, scripts for configTool only at http://wiki.gb.nrao.edu/bin/view/Data/ConfigurationCases

Analyzing your Data

Procedures to analyze Ka band data have not yet been implemented in the "Official" GBT IDL package or AIPS++, so in the meantime Frank Ghigo is developing a set of IDL scripts that will serve temporarily. These will use SDFITS to gather the data together and are still being worked on.

The AIPS++ MSFILLER appears to fill Ka band data although it's not been checked for correctness.

If you wish to do the analysis yourself, the basic operations required to get your data into IDL are actually quite simple.

myTable = MRDFITS('mySdFitsFileName.fits', 1, myHeader)
scan= 43
isSig='T'
isCal='F'
bankSamp='A1     '
q=where(myTable.sampler eq bankSamp and myTable.scan eq scan and myTable.sig eq isSig and myTable.cal eq isCal)
qs=size(q)
qList=q[1:qs[1]-1]
dataArr=myTable[qList].data[*]
avgSpec=avg(dataArr,1)
plot,avgSpec

Information for Experts: Deltas to current systems

Info for GB experts: how this receiver differs from other receivers

Information for Experts: FAQ

THINGS WE ARE STILL CLEANING UP (ought to be done before march)

-- BrianMason - 13 Jan 2005

Attachment: sort Action: Size: Date: Who: Comment:
FullBlockDiag04.jpg action 117767 18 Feb 2005 - 21:13 BrianMason Ka band block diagram

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