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SUMMARY:Methods for Detecting Gravitational Waves from mini-Extreme-Mass-R
 atio Inspirals: A Spectral-Leakage-Aware Framework
DTSTART;VALUE=DATE-TIME:20261025T075000Z
DTEND;VALUE=DATE-TIME:20261025T081000Z
DTSTAMP;VALUE=DATE-TIME:20261025T020203Z
UID:indico-contribution-3014@indico.itp.ac.cn
DESCRIPTION:Speakers: Zixuan Wang (ICTP-AP)\nMini-extreme-mass-ratio inspi
 rals (mini-EMRIs)\, in which a subsolar-mass compact object orbits a much 
 heavier compact object\, are long-duration gravitational-wave sources of i
 nterest to ground-based detectors. Their signals can remain in band for ho
 urs to years\, making fully coherent matched-filter searches computational
 ly expensive. Semicoherent time-frequency searches reduce this cost by div
 iding the data into short Fourier segments and combining segment-level pow
 ers or related statistics. Conventional implementations\, however\, often 
 require the signal to remain approximately monochromatic within each segme
 nt\, thereby limiting the coherent duration when the signal frequency evol
 ves appreciably.\n\nWe extend the ΣTrack framework beyond the quasi-monoc
 hromatic regime in two steps. First\, we derive a linear-chirp model for t
 he spectral leakage produced within a short-time Fourier segment. Second\,
  we construct the $\\Sigma R$ statistic\, a weighted sum of power ratios o
 ver a finite multi-pixel track\, to recover signal power distributed among
  neighboring frequency bins. The resulting sensitivity model further motiv
 ates a frequency-layered search in which the coherent duration is optimize
 d separately in different frequency intervals.\n\nFor a fiducial $(1.5\,10
 ^{-5})\\\,M_\\odot$ mini-EMRI and under the assumptions of our analytic co
 mparison\, the optimized $\\Sigma R$ configuration yields an effective det
 ection volume about an order of magnitude larger than that of the Hough-li
 ke reference statistic considered here.\nMore broadly\, the proposed frame
 work provides a systematic way to incorporate spectral leakage into semico
 herent time-frequency statistics and to optimize the coherence time across
  the signal band\, thereby extending power-track searches to long-duration
  signals with appreciable frequency evolution.\n\nhttps://indico.itp.ac.cn
 /event/427/contributions/3014/
LOCATION:
URL:https://indico.itp.ac.cn/event/427/contributions/3014/
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