European ARC Announcements

European ARC Announcements are provided by ESO and the European ALMA Nodes that together make up the European ALMA Regional Centre Network.

Streaming Visibility Processing for ALMA

Published: 16 Mar 2026

In a recently concluded development study, a small team at ASTRON, The Netherlands Institute for Radio Astronomy, investigated the concept of Streaming Visibility Processing (SVP) for ALMA. The key idea behind the SVP concept is to stream the visibilities produced by the ALMA correlator into the (initial) data processing stages without storing them first. SVP performs initial visibility processing in real-time up to the point where the data is reduced to more tractable rates without detrimental effects on the scientific quality of the end products. Further details are in the final report of the streaming visibility processing study and by following the 'read more' link.

Band 2 will be offered in Cycle 13 for ALMA 12m array

Published: 02 Feb 2026

Band 2 (67-116 GHz) is anticipated to be offered on the 12m Array from the start of Cycle 13 (October 2026). As with previous new band introductions (e.g. Band 1), the exact start date and number of available antennas may be subject to operational and technical constraints. Based on current receiver integration progress, up to 43 Band 2 receivers may be available at the start of the cycle.

ARC Scientist position available at ESO Garching

Published: 01 Feb 2026

The ESO ARC is looking for a scientist to support ALMA operations. Deadline for applications is on 25 March. More information can be found at this link.

2nd European ALMA School kicks off in Leiden

Published: 28 Jan 2026

The 2nd European ALMA school kicked off on Monday 26th January in Leiden. With almost 70 participants from 22 countries - and 20 tutors and lecturers from all the European ARC nodes - this is the largest ALMA-specific training event in Europe to date. Unusually for the Netherlands, Day 1 started with a low pwv and abundant sunshine. Over the next five days, we will cover a wide range of topics, from introduction to CASA to advanced data-processing techniques. 

Many thanks to our sponsors: Dutch Research Council, LKBF, NOVA, and the Leiden University Funds.

Announcement for early proposal planning for Cycle 13

Published: 27 Jan 2026

ALMA has made information available to assist with early proposal planning for Cycle 13 (see Read More). Full details will be published in the Cycle 13 Call for Proposals.

Completion of the TASER development study

Published: 20 Jan 2026

Progress in engineering at millimetre wavelengths and advances in semiconductor fabrication techniques offer low noise amplifier (LNA) based radioastronomy receivers which operate at higher temperatures and wider operational bandwidths, with reduced noise, higher pixel density, and more. The University of Manchester and STFC Rutherford Appleton Laboratory have recently completed ESO's ALMA development study, Towards ALMA System-on-Chip European Receivers (TASER). This two year project developed key technologies for compact integrated front end receivers for ALMA. The benefits of LNA receiver integration and miniaturisation are, among others, lower operational costs, reduced manufacturing and testing labour needs, and the potential for high density focal plane array/phased array feed technology. The results of the TASER study are important steps towards implementing the ALMA Development Roadmap, and beyond, with the aim of enhancing ALMA's status as a globally leading scientific tool.

Morphological Image Similarity Search on the ALMA Science Archive

Published: 02 Dec 2025

The ALMA Science Archive (ASA) now allows you to visually search for images that are morphologically similar to a given ASA image (currently 259,126 continuum images and 196,322 peak-flux images of data-cubes) with the aim to help you find such images extremely rapidly within the vast ASA holdings. A description of the state-of-the-art deep learning method used to determine similar images - self-supervised contrastive affine-transformation-independent representation learning with a deep neural network - and the interface we have developed can be found in this ESO Messenger article.

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