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SgrA$^{*}$ spin and mass estimates through the detection of an extremely large mass-ratio inspiral

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arxiv 2206.14399 v2 pith:NOSHYKZ3 submitted 2022-06-29 astro-ph.HE gr-qc

classification astro-ph.HEgr-qc
keywords sgraxmrisspinaccuracymassbandcentercircular
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Estimating the spin of ${\rm SgrA^\ast}$ is one of the current challenges we face in understanding the center of our Galaxy. In the present work, we show that detecting the gravitational waves (GWs) emitted by a brown dwarf inspiraling around ${\rm SgrA^\ast}$ will allow us to measure the mass and the spin of ${\rm SgrA^\ast}$ with unprecedented accuracy. Such systems are known as extremely large mass-ratio inspirals (XMRIs) and are expected to be abundant and loud sources in our galactic center. We consider XMRIs with a fixed orbital inclination and different spins of ${\rm SgrA^\ast}$ ($s$) between 0.1 and 0.9. For both cases, we obtain the number of circular and eccentric XMRIs expected to be detected by space-borne GW detectors like LISA and TianQin. We find that if the orbit is eccentric, then we expect to always have several XMRIs in band while for almost circular XMRIs, we only expect to have one source in band if ${\rm SgrA^\ast}$ is highly spinning. We later perform a Fisher matrix analysis to show that by detecting a single XMRI the mass of ${\rm SgrA^\ast}$ can be determined with an accuracy of the order $10^{-2}\,\text{M}_{\odot}$, while the spin can be measured with an accuracy between $10^{-7}$ and $10^{-4}$ depending on the orbital parameters of the XMRI.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Constructing a gravitational wave analysis pipeline for extremely large mass ratio inspirals

    astro-ph.HE 2026-01 conditional novelty 6.0 of 10

    A hierarchical semi-coherent F-statistic plus particle-swarm pipeline recovers an injected Sgr A* XMRI from 90 days of simulated TianQin data with sub-percent parameter precision.

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