nassp masters 5003f - computational astronomy - 2009 lecture 9 – radio astronomy fundamentals...
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NASSP Masters 5003F - Computational Astronomy - 2009
Lecture 9 – Radio Astronomy FundamentalsS
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Types of electron acceleration:• Thermal (random jiggling)• Synchrotron (spiral)• Spectral line (resonant sloshing)
NASSP Masters 5003F - Computational Astronomy - 2009
Noise power spectrum• Analyse the signal into Fourier
components. jth component is:
• The Fourier coefficient Vj is in general complex-valued. Power in this component is:
• Closely related to the ‘power spectrum’ we’ve already encountered in Fourier theory.
Vj(t) = Vj exp(-iωjt) = Vj (cos[ωjt] + i sin[ωjt])
Pj = Vj*(t)Vj(t)/R = Vj *Vj/R (cos2[ωjt] + sin2[ωjt]) = Vj *Vj/R
NASSP Masters 5003F - Computational Astronomy - 2009
Averaging the power spectrumt = 1 t = 16
t = 64t = 4
NASSP Masters 5003F - Computational Astronomy - 2009
Total noise power output by the antenna.
• “Noise is noise”: signal from an astrophysical source is indistinguishable from contamination from– Background thermal radio noise.– Ditto from intervening atmosphere.– Noise generated in the receiver system.
• Each of these makes a contribution to the total. Thus the total noise power is
Ptotal = Psource + Pbackground + Patmosphere + Psystem
NASSP Masters 5003F - Computational Astronomy - 2009
On-and-off source comparison• The simplest way to determine the source
contribution is to make 1 measurement pointing at the source, then a second pointing away from (but close to) the source, then subtract the two.
• Scanning over the source is also popular.• Uncertainty in total power measurements is:
– Note the Poisson-like character: σP is proportional to P.
• A low-pass filter with a time constant t is another way of ‘averaging’.
t
PP
NASSP Masters 5003F - Computational Astronomy - 2009
Antenna detection efficiency
• The source radiates at S W m-2 Hz-1.
• The antenna has an effective area Ae in the direction of the source. (Eg for a dish antenna pointed to the source, this is close to the actual area of the dish.)
• Thus the power per unit frequency interval picked up by the antenna is:
• However, antennas are only sensitive to one polarisation...
w = AeS watts per herz.
NASSP Masters 5003F - Computational Astronomy - 2009
Decomposition into polarised components
The total power in the signal is the sum of the power in eachpolarization. An antenna can only pick up 1 polarization though.
NASSP Masters 5003F - Computational Astronomy - 2009
Dependence on source polarisation
• If the source is unpolarized, the antenna will only pick up ½ the power, regardless of orientation.
• If the source is 100% polarized, the antenna will pick up between 0 and 100% of the power, depending on orientation (and type of detector – eg is detector sensitive to linear polarization, or circular).
• Obviously all values in between will be encountered. Thus measurement of source polarization is important.
NASSP Masters 5003F - Computational Astronomy - 2009
Directionality of antennas.A radio telescope often (not always) incorporates a mirror.
Parkes
GMRT
Ok as long as the roughness is << λ.
An optically ‘smooth’ surface
These are supposed to be smoothmirrors?
NASSP Masters 5003F - Computational Astronomy - 2009
Directionality of antennas.
Reflector
Focal plane
Point Spread Function
Radio telescopes with a mirror can be analysed likeany other reflecting telescope...
NASSP Masters 5003F - Computational Astronomy - 2009
A more usual treatment:B
eam w
idthS
ide lobeS
ide lobe
It is often conceptually easier to imaginethat the antenna is emitting radiation tothe sky rather than absorbing it.
Beam width ~λ/D, same as for any other reflector.Eg Parkes 64m dish at 21 cm, beam width ~ 15’.
NASSP Masters 5003F - Computational Astronomy - 2009
Going into a little more detail...
• Essential quantities:– The distribution of brightness B(θ,φ) over the
celestial sphere. (See next slide for definition of θ,φ.) The units of this are W m-2 Hz-1 sr-1 (watts per square metre per herz per steradian).
– The effective area Ae of the antenna, in m2. (This is something which must be measured as part of the antenna calibration.)
– The relative efficiency f(θ,φ) of the antenna, which is normalized such that it has a maximum of 1. (This shape must also be calibrated.)
– The received power spectrum w (units: W Hz-1).
NASSP Masters 5003F - Computational Astronomy - 2009
Going into a little more detail...
J D Kraus, “RadioAstronomy” 2nd ed.,
Fig 3-2.
Pointing direction of theantenna – NOT the zenith.
Kraus uses Pwhere I have f.
NASSP Masters 5003F - Computational Astronomy - 2009
Going into a little more detail...
• The general relation between these quantities is:
Remember that the ½ only applies where B is unpolarized.
• Further useful relations:
• It can be shown that ΩA = λ2/Ae.
,BdS
,,2
1e BfdAw
,A fd
NASSP Masters 5003F - Computational Astronomy - 2009
Going into a little more detail...• Let’s consider two limiting cases:
– B(θ,φ) = B (ie, uniform over the sky);– B(θ,φ) = S δ(θ-0,φ-0) (ie, a point source of
flux=S, located at beam centre).
f f
B
B(θ,φ)=Sδ
w = ½ λ2 B w = ½ Ae S
...the ½ still applies only for unpolarized B.
NASSP Masters 5003F - Computational Astronomy - 2009
Conversion of everything to temperatures.
• Suppose our antenna is inside a cavity with the walls at temperature T (in kelvin).
• It can be shown that the power per unit frequency picked up by the antenna is
• Because of this linear relation between a white noise power spectrum and temperature, it is customary in radio astronomy to convert all power spectral densities to ‘temperatures’. Hence:
w = kT watts per herz.
NASSP Masters 5003F - Computational Astronomy - 2009
System temperature
• Tsource only says something about the real temperature of the source if– The source area is >>ΩA, and
– The physical process producing the radio waves really is thermal.
• Tatmosphere is a few kelvin at about 1 GHz.
• Tbackground may be as much as 300 K if the antenna is seeing anything of the surroundings! Therefore avoid this.
• Tsystem again says nothing about the real temperature of the receiver electronics. Rather it is a figure of merit – the lower the better.
Ttotal = Tsource + Tbackground + Tatmosphere + Tsystem
NASSP Masters 5003F - Computational Astronomy - 2009
The more usual way to write the measurement uncertainty:
• Thus the minimum detectable flux is
• and the minimum detectable brightness:
• Note:1. Bmin not dependent on Ae.2. Factors of 2 only for unpolarized case.
t
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NASSP Masters 5003F - Computational Astronomy - 2009
A more realistic system:R M Price, “Radiometer Fundamentals”,
Meth. Exp. Phys. 12B (1976),Fig 1, section 3.1.4.
“Bac
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“Fro
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NASSP Masters 5003F - Computational Astronomy - 2009
Jargon• The ‘antenna’:
– the reflecting surface (ie the dish).
• The ‘feed’:– usually a horn to
focus the RF onto the detector.
• The ‘front end’:– electronics near the
Rx (shorthand for receiver).
• The ‘back end’:– electronics near the
data recorder.• The LO:
– local oscillator.
A 38 GHz feed horn. Thecorrugations are good
for wide bandwidth.
•RF:–Radio Frequency.
•IF:–Intermediate Frequency.
NASSP Masters 5003F - Computational Astronomy - 2009
Flux calibration• The bandwidth and gain of the radiometer tend
not to be very stable.• There are several methods of calibration. Eg:
1. Switching between the feed and a ‘load’ at a temperature similar to the antenna temperature. But, this can be < 20 K...
2. Periodic injection of a few % of noise into the feed. Noise sources can be made much more stable than noise detectors.
• Still good to look occasionally at an astronomical source of known, stable flux. Should also be unresolved (compact).
– Difficult conditions to meet all together! Compact sources tend to vary with time.