Networking module for RadioUniversePRO and SPIDER radio telescopes

Networking module

for RadioUniversePRO

Networking Module for RadioUniversePRO allow remote control of the SPIDER radio telescope from remote locations, also via the Internet, with control capabilities based on the license. The Networking Module also allows the creation of a “Radio Astronomy Virtual Classroom” with a TEACHER license that controls the radio telescope and STUDENT licenses to collect and process data.

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In the control computer, close to the receiver, instead of RadioUniversePRO, the “RadioUniversePRO SERVER” (Server license) is installed with antenna/frontend/backend control: a version with no graphical interface but more power than standard RadioUniversePRO that controls all SPIDER components, like:

  • Network manager software, for acquired data and control pipelines
  • Control software, as process supervisor

In the remote computer:

  • “RadioUniversePRO TEACHER” software that can perform any SPIDER radio telescope operation: controls antenna/frontend/backend and operate in “tutor” mode over other “students” client, get the recorded data and process them.
  • “RadioUniversePRO STUDENT” (available starting Spring 2022), with an easier interface that are allowed not to use the radio telescope but to get the recorded data and process them.


Networking module for RadioUniversePRO and SPIDER radio telescopes

Example of Radio Astronomy Virtual Classroom with Networking module for RadioUniversePRO and SPIDER radio telescopes: computer with TEACHER license is controlling the radio telescope, other computers with STUDENT license allows to display data coming from SPIDER radio telescope and process.


“RadioUniversePRO TEACHER” and “RadioUniversePRO STUDENT” have also processing capabilities (available starting Autumn 2022):

  • Total Power Processing: calibrated data reduction, antenna gain calculation and normalization, radiometric baseline fitting and images profiles calibration for scans, spatial filtering, antenna beam models definitions and deconvolution of recorded data.
  • Spectral Processing: calibrated data reduction, data weighting, dedopplering and spectral re-aligning, long-integration, spectrometric baseline fitting, spatial filters on spectra

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