Millimeter Antenna Calibration

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Transcription:

Millimeter Antenna Calibration 9 th IRAM Millimeter Interferometry School 10-14 October 2016 Michael Bremer, IRAM Grenoble The beam (or: where does an antenna look?) How and where to build a mm telescope Calibration

The Aperture

Aperture, Optics, Image Plane

Why modify the illumination with a taper? Taper function: Gaussian or parabolic Beam pattern = FFT(illumination) Beam size (FWHM): θ mb =α λ/d [rad] with α = 1.0 1.3, depending on taper Full width (diameter to 1 st minimum): θ fb 2.2 θ mb A typical single dish antenna observes one point.

Sidelobes and their phases, in linear & log10

Aperture efficiency: the surface is not ideal Ruze formula for the aperture efficiency ε : a A eff = ε A a(λ) = ε 0 exp (4πR σ λ )2 With R 0.8 depending on the telescope geometry and ε 0 the asymptotic efficiency for λ ( 0.6 0.8) ε a can be measured on a known calibration source.

Beam efficiency The beam efficiency can be calculated from the beam pattern B eff T a /T mb = ε a A Ω b λ 2 with the main beam solid angle Ω b 1.133 θ mb 2 This is the link between antenna temperature and main beam temperature.

And finally, the error beam The error beam is due to surface deformations with a given correlation length. The FFT of this results in a broad Gaussian. This becomes important for very extended sources at the IRAM 30-m telescope. Experimentally derived from Moon scans.

The temperature scales Antenna temperature (telescope specific) and brightness temperature (source specific) are both proportional to power and purely fictitious equivalent temperatures. They relate to the flux density S as follows: From: D. Downes (1989), Radio Astronomy Techniques, LNP 333, 351

Some fully steerable telescope schematics

Building your own radio telescope Mr. Grote Reber built a 31.4 ft. radio telescope in his backyard in 1937 (Wheaton, Illinois). Its observing wavelength was 1.9 m. He did astronomy in his free time while working for a radio company in Chicago. Required mechanical precision is proportional to wavelength a mm antenna must be 1000 more precise!

Radio telescopes vs. optical telescopes Radio telescopes and their optics: Gaussian optics formalism required.

If you are familiar with cm Radio Astronomy: What changes for mm waves? With increasing frequency: No external human interference in the data Non-thermal sources become weaker but thermal sources are not strong yet. Important: molecular lines! atm. water vapor and clouds become more absorbent, therefore: stronger weather dependency of observations Tsys of low elevation observations becomes a lot worse (choose your sources carefully, don t skim the horizon!) polarization in astronomical objects becomes weaker the time variability of quasars increases (flux and polarisation)

Why observe in the millimeter range? From: Stahler & Palla, The Formation of Stars The importance of CO was the main driver to build instruments for frequencies beyond 100 GHz.

Engineering of a millimeter antenna Problem: must be precise enough for your highest frequency, with a large collecting area, in a place where you have encouraging weather statistics, and stay within budget. Homological Design: Manage grav. deformations: Tilted main reflector changes its focus but stays a paraboloid. Millimetre Telescopes vs. the Real World

Engineering of a millimeter antenna Surface precision and stability: Focus stability: Pointing stability (θ mb =HPBW): For interferometers, Path length stability: σ λ/16 Δf λ/10 ΔΘ mb Θ mb /10 ( λ )/D 10 ΔH λ/10 What kind of signal do we want to detect? 1 Jansky = 10-26 W m -2 Hz -1 i.e. observe with an ideal 100m antenna with 1 Ghz bandwidth for 400000 years to get 1 Joule.

Where to build a mm telescope Main absorbers between the optical and radio transmission windows: H 2 O CO 2 From: Irbarne & Cho, Atmospheric Physics From: Staelin, 1966 (method: radiosondes, profiles from different balloon launches)

Do we need to go to Space? Dry air: scale height 8.4 km Water vapor: scale height 2.0 km You can (nearly) walk into Space for mm radio astronomy! A desert can do for the 3mm band. Favourite: High altitude desert. Credits: kowoma.de

Getting rid of water vapor by going high and/or dry ALMA: 5000m SMA: 4100m NOEMA: 2550m ATCA: 208m

Temperature variations and telescope geometry Two approaches to get the desired millimetre telescope performance: choose a material with compatible constant of thermal expansion control the reflector temperature (insulation, climatisation, radome, astrodome) Von Hoerner (1967, 1975)

Wind and Ice At high altitude, one has to expect wind and large temperature fluctuations, and often snow and ice. mm Telescopes are mostly of Cassegrain or Gregorian design, with filled reflector surfaces (no wire mesh). Wind force: F w = ½ ρ V² A c w Free-standing telescopes are more sensitive to high wind speeds but protective radomes absorb strongly at mm and sub-mm wavelengths Reflectors may need de-icing (heated surfaces). Pre-emptive heating to avoid ice attachment, getting rid of ice after formation is not easy.

Calibration To calibrate = to measure precisely with an absolute scale The real antenna is corrected to become an ideal antenna; in a sense it disappears to allow a clear view on the astronomical source.

Calibration There are different kinds: Observatory maintenance, Real-time, and Post-observation 1. Measure and adjust slowly variable parameters (commissioning, maintenance, surface holographies, baseline estimates, pointing models, receiver tuning tables ) 2. Measure and correct parameters in the real-time system. This is the calibration overhead of the observations: load calibration, pointing, focus, level adjustment for optimum sensitivity etc., and the necessary observations for the next point: 3. Establish a post-observation calibration. This is the reduction you do later. It produces the data that you interpret for your publication.

Calibration There are different kinds: Observatory maintenance, Real-time, and Post-observation 1. Measure and adjust slowly variable parameters This requires in-depth knowledge of the instrument, and is the task of the observatory staff. 2. Measure and correct parameters in the real-time system. This is the calibration overhead of the observations: load calibration, pointing, focus, level adjustment for optimum sensitivity etc., and the necessary observations for the next point: 3. Establish a post-observation calibration. This is the reduction you do later. It produces the data that you interpret for your publication.

Calibration There are different kinds: Observatory maintenance, Real-time, and Post-observation 1. Measure and adjust slowly variable parameters This requires in-depth knowledge of the instrument, and is the task of the observatory staff. 2. Measure and correct parameters in the real-time system. You will encounter this part when you observe yourself at a telescope. Follow closely the recommended calibration cycles to get data that you can use later time overhead is no luxury! 3. Establish a post-observation calibration. This is the reduction you do later. It produces the data that you interpret for your publication.

Calibration There are different kinds: Observatory maintenance, Real-time, and Post-observation 1. Measure and adjust slowly variable parameters This requires in-depth knowledge of the instrument, and is the task of the observatory staff. 2. Measure and correct parameters in the real-time system. You will encounter this part when you observe yourself at a telescope. Follow closely the recommended calibration cycles to get data that you can use later time overhead is no luxury! 3. Establish a post-observation calibration. This is where it all comes together, and calibration data taken at the end of the observing run can be applied everywhere.

All kinds of temperatures Receiver Temperature T R : Temperature of an equivalent resistor of the same noise power as the receiver, according to the Nyquist formula P=kTΔν We need two calibrator loads of known different physical temperature T hot and T cold to measure it: Counts hot = G (T hot +T R ) Counts cold = G (T cold +T R ) T R =(T hot -Y T cold )/(Y-1) where Y= Counts hot / Counts cold System Temperature T sys : Temperature of an equivalent resistor of the same noise power as the whole instrument, including the atmosphere above it. The sensitivity of the system is ΔT a = κ T sys / Δν t with κ depending on observing mode. Interferometry: κ=1

All kinds of temperatures Chopper wheel calibration method (Penzias and Burrus, 1973): Counts load = K (T load +T R ) Counts sky = K (T emission +T R ) Counts source = K (B s T B e τ(elevation) +T emission +T R ) with B S the antenna to source coupling factor. We want to know T B. With some algebra: T B = T cal Counts source Counts sky Counts load Counts sky T cal = (T load - T emission ) eτ(elevation) B s where and we get: T sys = T cal Counts sky Counts load Counts sky

All kinds of temperatures We still don t know: T emission and τ(elevation) But we know T load, T R T emission = (T load +T R ) Counts sky Counts load - T R However, not all detected emission really comes from the sky: T sky = T emission (1 Feff) T cabin F eff with the forward efficiency F eff in the range [0 1] We can now use a simple atmospheric model based on a standard atmosphere and meteo station data to determine τ(elevation). F eff is determined over a skydip, i.e. observing T emission at different elevations during stable clear-sky weather conditions.

Some more details that play a role in calibration You can have different receiver technologies: DSB, SSB and 2SB The most recent is the Sideband Separating mixer (2SB): Both sidebands (USB and LSB) are downconverted and separated to independent outputs 2SB mixer diagram DSB mixer 1 RF input o RF 90 hybrid coupler In-phase LO coupler LO input o IF 90 hybrid coupler USB LSB LSB f LO USB load load DSB mixer 2 IF band IF band We are currently changing our SIS mixers to 2SB technology. It is necessary to measure the rejection of the two bands relative to each other. Photos: Courtesy A. Navarrini

Some more details that play a role in calibration We measure a weighted mixture of two atmospheric bands, one in the signal band (where our signal is), and one in the image band (where we typically do NOT want to observe). The Gain is the ratio between the two. T sky = T sky S + Gain I T sky I 1 + Gain I i.e. Gain I 1 : good sideband rejection, Gain I = 1 : DSB receiver T cal = T load (1+Gain I) T emission S Gain I T emission I B s e τ S (elevation) We get those values from the atmospheric model, except the beam efficiency B S. In single dish mode, B S must be determined carefully but in interferometry B S = F eff (Amplitude calibration)

Some more details that play a role in calibration The reduced chopper calibration: It can be difficult to have a linear response in the detector chain over a dynamic range of more than 2-3, especially for an interferometer. Solutions: Use lower temperature ambient calibration loads Receiver is linear but the limitation is in the backend: switchable attenuators in the IF chain (NOEMA) Covering the beam only partially with absorber, rest sees the sky

Single Dish vs. Interferometers The single dish beam becomes the field of view. You need to control N antennas simultaneously The antennas must share a common master frequency or re-generate it from a fundamental standard Correlated amplitudes and phases must be calibrated

A typical project at NOEMA Operators and astronomer on duty (AoD) agree on a project to observe, based on meteo conditions and schedule priority The setup is started, the receivers are tuned. On a strong calibrator source, interferometric delays and gains are measured and entered into the real-time system RF calibrator and flux calibrators are observed The observing cycles start: amplitude and phase calibrators are observed before and after a target source observation. Each observation starts with BAND (spectral bandpass on the correlator noise source), AUTO 4 TWEAK (adjust correlator input attenuation), CAL (ambient/cold/sky load calibration cycle), then the correlations start. Several times per hour, pointing and focus are measured. The observations are pipeline-calibrated and checked by the AoD.

More about interferometry follows after the Lunch Break. Thank you!