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SUMMARY:Characterizing Bias in Multi-Source Gravitational Wave Inference w
 ith LISA
DTSTART;VALUE=DATE-TIME:20260708T044500Z
DTEND;VALUE=DATE-TIME:20260708T050000Z
DTSTAMP;VALUE=DATE-TIME:20261027T030556Z
UID:indico-contribution-812@indico.narit.or.th
DESCRIPTION:Speakers: Rishav Agrawal (National University of Singapore)\nT
 he Laser Interferometer Space Antenna (LISA) will be the first gravitation
 al wave detector able\nto observe sources that emit in the millihertz regi
 me such as Galactic Binaries (GBs)\, Massive Black Hole Binaries (MBHBs) o
 r Extreme Mass Ratio Inspirals (EMRIs). Consequently\, the data stream sen
 t by LISA will be a superposition of an unknown number of various gravitat
 ional wave sources. In theory\, up to 10\,000 compact binaries\, several h
 undred of EMRIs and about a hundred of MBHBs are expected to be sensed by 
 the instrument. This overlap makes inferring source parameters extremely c
 hallenging. \n\nThis project aims to infer the parameters of EMRIs and MBH
 Bs and investigate the intercorrelation between parameters of different so
 urces and intracorrelation among the parameters of the same source. To stu
 dy this\, we compare two inference strategies: a local-fit approach\, wher
 e individual signals are iteratively inferred and removed while treating o
 ther sources as noise\, and a computationally intensive global-fit approac
 h that jointly infers multiple sources using a combined likelihood. Our an
 alysis focuses on quantifying biases introduced during parameter estimatio
 n. Results show that EMRI signals exhibit minimal overlap with GBs and MBH
 Bs in the frequency domain\, suggesting they can often be analysed indepen
 dently. We also examine interparameter correlations across different sourc
 e classes and intraparametric correlations within individual sources\, fin
 ding negligible cross-source correlations but significant correlations amo
 ng EMRI parameters. These findings highlight the importance of understandi
 ng and mitigating inference bias for accurate population studies in future
  LISA observations\,Our simulations have shown promising results and paves
  the way for future work on multiple EMRIs characterization.\n\nhttps://in
 dico.narit.or.th/event/236/contributions/812/
LOCATION:National Astronomical Research Institute of Thailand (NARIT) Andr
 omeda Meeting Room
URL:https://indico.narit.or.th/event/236/contributions/812/
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