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SUMMARY:RadioSkySim: A Flexible and Scalable Python Framework for Radio-As
 tronomical Sky Simulation
DTSTART;VALUE=DATE-TIME:20261108T063000Z
DTEND;VALUE=DATE-TIME:20261108T070000Z
DTSTAMP;VALUE=DATE-TIME:20261023T145957Z
UID:indico-contribution-2953@indico.itp.ac.cn
DESCRIPTION:Speakers: Luciano Barosi (Universidade Federal de Campina Gran
 de)\n**RadioSkySim: A Flexible and Scalable Python Framework for Radio-Ast
 ronomical Sky Simulation**\n\nRadioSkySim is a Python-based sky simulation
  framework developed within the BINGO Collaboration to support the modelin
 g\, analysis\, and validation of radio-astronomical observations. Designed
  with an emphasis on modularity\, extensibility\, and computational effici
 ency\, it provides a flexible environment for generating realistic simulat
 ed observations while maintaining a clear separation between scientific mo
 dels and computational infrastructure.\n\nThe framework implements a libra
 ry of instrumental beams with polarization support\, astronomical radio so
 urces\, local sources\, and GNSS satellites\, enabling the construction of
  complex and configurable observing scenarios. These components can be com
 bined to generate time-ordered data (TOD)\, currently stored in NetCDF for
 mat\, and to support subsequent map-making and analysis workflows.\n\nRadi
 oSkySim adopts a hexagonal architecture that facilitates the integration o
 f different computational backends and scientific models without coupling 
 them to the core simulation logic. Its architecture also incorporates cach
 ing and database persistence mechanisms\, together with multi-core executi
 on capabilities\, allowing simulations to be efficiently reused\, scaled\,
  and integrated into larger data-processing pipelines.\n\nBeyond its curre
 nt capabilities\, the framework was designed as a foundation for more dema
 nding simulation scenarios\, including GPU-accelerated computation\, addit
 ional classes of sky and foreground components\, and increasingly sophisti
 cated instrument models. This approach aims to provide the BINGO Collabora
 tion with a sustainable simulation infrastructure capable of supporting bo
 th experimental development and scientific analysis.\n\nIn this talk\, we 
 present the architecture and main capabilities of RadioSkySim\, discuss it
 s current implementation and use cases\, and illustrate how its design ena
 bles the progressive incorporation of new physical models\, instrumental e
 ffects\, and computational strategies.\n\nhttps://indico.itp.ac.cn/event/4
 17/contributions/2953/
LOCATION:
URL:https://indico.itp.ac.cn/event/417/contributions/2953/
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