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SUMMARY:Reshaping the Search for Substructures in Young Protostellar Disks
DTSTART;VALUE=DATE-TIME:20261028T182200Z
DTEND;VALUE=DATE-TIME:20261028T182300Z
DTSTAMP;VALUE=DATE-TIME:20261028T045032Z
UID:indico-contribution-3715@nyx.physics.mcgill.ca
DESCRIPTION:Speakers: Sullivan Callista (Queen's University)\nTo date\, AL
 MA has conducted thousands of protostellar disk observations\, and studyin
 g this archive has revealed much about the nature of these dusty disks aro
 und infant stars. Including that many of even the youngest disks contain a
 n indicator of planet formation: axisymmetric substructures. However\, the
  high computational/observational requirements of current methods mean onl
 y a small portion of disks have been examined for substructures. My work a
 ims to investigate the prevalence of substructure in young disks by develo
 ping a neural network that uses Simulation-Based Inference (SBI) to quickl
 y identify features such as gaps and rings directly from ALMA’s raw uv v
 isibilities. \n\nThus\, I have built a data pipeline that creates a traini
 ng dataset of visibilities by combining real observations of disks with kn
 own substructures alongside synthetic observations of real and simulated d
 isks. The thousands of simulated disks are generated with a range of subst
 ructures\, from simple smooth disks to ones with multiple gaps and rings\,
  and each one is synthetically observed with a range of positional and obs
 ervational parameter values. This variety ensures that the dataset mimics 
 the breadth of qualities found across real observations. \n\nOnce this SBI
  model is complete\, it will be able to identify a disk’s most likely su
 bstructure(s) in seconds\, instead of the hours required by conventional t
 echniques. By creating this model and running it over every viable young d
 isk in ALMA’s archive\, I aim to shift the current paradigm from analysi
 ng individual disks to analysing the presence\, form\, and statistics of s
 ubstructure among large disk populations.\n\nhttps://nyx.physics.mcgill.ca
 /event/587/contributions/3715/
LOCATION:Online 
URL:https://nyx.physics.mcgill.ca/event/587/contributions/3715/
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