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SUMMARY:Simulation-based tension quantification of the cosmic dipole anoma
 ly
DTSTART;VALUE=DATE-TIME:20260915T143500Z
DTEND;VALUE=DATE-TIME:20260915T150000Z
DTSTAMP;VALUE=DATE-TIME:20261023T231346Z
UID:indico-contribution-31278@indico.ific.uv.es
DESCRIPTION:Speakers:  Mali Land-Strykowski (UNIVERSITY OF SYDNEY)\nThe co
 smic dipole observed in the matter distribution of galaxy surveys consiste
 ntly disagrees with the kinematic expectation set by the cosmic microwave 
 background\, posing a serious challenge to the Cosmological Principle and 
 the standard model of cosmology. However\, the fidelity of the dipoles we 
 infer rests on our understanding of the systematics present in the surveys
 . For many systematics\, their analytical effect on the source counts is u
 nknown\, rendering the likelihood function intractable. We demonstrate tha
 t Simulation-Based Inference (SBI) is an effective tool for quantifying te
 nsions between cosmic dipole data sets\, enabling inference when likelihoo
 ds are intractable. Here\, we apply neural-ratio estimation to the cosmic 
 dipole for the first time\, recovering tensions between Planck\, NVSS\, RA
 CS\, and CatWISE under different treatments of systematics. Our SBI archit
 ecture provides a robust machinery for future dipole analyses with LSST\, 
 Euclid\, and the SKA\, where it will be essential to model complex observa
 tional systematics.\n\nhttps://indico.ific.uv.es/event/8160/contributions/
 31278/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31278/
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