ALMA Development in the UK

The development and production of ALMA software and hardware is shared between the participating countries. UK engineers and scientists are collaborating in many of the partnerships, with major involvement in these areas:

The STFC is undertaking a broad and vital technical contribution to the construction of the ALMA Observatory. The activities are performed within expert teams located at leading UK institutes and also in close association with industry. For instance, the Rutherford Appleton Laboratory (RAL) is supplying receiver front-end cryogenic systems that are necessary to cool the sensitive receiving elements to temperatures as low as 4K; photomixers for the receiver phase reference, essential for maintaining coherence of the array; prototype calibration loads, necessary for calibration of the instrument; and is also hosting the European receiver Front-End Integration Centre, which performs integration and test of receiver systems.

The Cavendish Laboratory, Cambridge, in addition to its past work on the development of water vapour radiometers, is studying enhancements to atmospheric phase monitoring through oxygen sounding. The University of Kent, Canterbury, has developed aspects of the photonic phase reference system, and the Astronomy Technical Centre, Edinburgh, and the University of Manchester are developing key aspects of ALMA software associated with the array use, data processing and data archiving. More details of some of these activities are given below.  These activities are overseen by the ALMA UK Project Office, which is located at the Rutherford Appleton Laboratory.

Optical Fibres and Data Transmission System

opticalfibres

ALMA data is delivered from each telescope receiver to the correlator using an optical fibre transmitting 120 Gbps over distances of up to 20 km.  Twelve laser diodes per telescope each produce 10 Gbps, all multiplexed onto a single fibre.  The University of Manchester (JBO) designed the optical system, including prototypes of the receiver boards (below left), the transmitters (below right), the optical multiplexers, amplifiers and de-multiplexers.  Overall system development was a cooperative effort between JBCA and the US NRAO (who designed the digital components), sharing some aspects with the EVLA and e-MERLIN.

RxTx

Water Vapour Radiometry for Phase Correction

Phase corrections derived from measurements of atmospheric water vapour are crucial for ALMA observations.  The University of Cambridge, in collaboration with Onsala Observatory, designed and built 2 prototype 183-GHz water vapour radiometers (WVR).  Subsequently, the University has led the effort to understand and simulate WVR-based phase correction techniques. Ongoing work involves developing advanced algorithms for radiometric phase correction (funded under the EU FP6) and procuring and commissioning additional instrumentation for the remote sensing of the atmosphere.

SMAwvr

The WVR were tested in collaboration with the CfA who operate the Smithsonan Millimetre Array on Mauna Kea. The red line shows the observed phase whilst tracking a quasar. The blue line shows that the phase fluctuations predicted using the WVR are an excellent fit.  The phase rms goes from 271 mm to 75 mm after correction.

ALMA Observing Tool and Pipeline 

The UK ATC in Edinburgh is leading the OT
development of the ALMA Observing Tool, in collaboration with developers from ESO and NAOJ. This software will provide the astronomer's primary interface with ALMA: an easy-to-use tool which will enable observers without prior experience of submillimeter aperture synthesis to create observing programmes that meet their science goals, whilst also supporting the needs of experienced observers.

The UK ATC is also playing a significant role in developing the Pipeline data reduction scripts. The high volume and complexity of ALMA data require automated processing. The pipeline will edit bad data, remove instrumental effects and derive and apply calibration.  The system also generates logs to allow users to trace and verify the reduction process. The output will be in the form of images and spectra suitable for scientific analysis by astronomers. 

Simulations for ALMA

Oxford University is creating simulations programs encompassing both instrumental simulations and models of the radio/sub-mm sky. They use current (AIPS) and next-generation (MeqTrees) packages.  The framework incorporates atmospheric and other data corruption, primary beam effects and so on, at realistic levels for ALMA. Such simulated data sets predict plausible limits on the science returns for particular configurations and conditions.  The extragalactic radio sky databases describe the properties of ~200 million simulated galaxies out to z~20. Continuum and line emission is included and additional galaxy properties can be applied.

COfield COline

 

The integrated intensity of simulated CO sources over a 2-arcmin field from the Semi-Analytic eXtra-galactic database (SAX, Obreschow et al. in prep, 2009) is shown on the left. The  frequency range of 30-80 GHz corresponds to the CO J 1-0 transition at 0.438<z<2.833. A simulated ALMA CO cube for a galaxy at z~2, plus continuum background sources is shown on the right.

The ALMA Science Archive

The ALMA science archive (ASA) will ultimately reside in Chile, mirrored to the three main ALMA Regional Centres in the USA, Europe and Japan. The archive will contain: Bulk data from observations and science pipeline products;  Metadata describing these; Event data logging instrumental and environmental information. All ALMA data will be accessible through the archive but the ASA provides optimised access for astronomers in a scientifically meaningful way.  The European effort is coordinated by ESO.  The University of Manchester is developing science requirements and use cases as well as providing data and handling methods for source, calibration, spectral and other catalogues.

ASA

Astronomers will use the ASA to:

  • Investigate whether appropriate data already exist and retrieve these if so;
  • Extract information to help plan new observations;
  • Retrieve science products from their observed data;
  • Acquire supporting information to improve data quality and interpretation.
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