Sökning: onr:"swepub:oai:DiVA.org:kth-319097" >
Nondegenerate inter...
Nondegenerate internal squeezing : An all-optical, loss-resistant quantum technique for gravitational-wave detection
-
- Gardner, James W. (författare)
- Australian Natl Univ, Ctr Gravitat Astrophys, Acton, ACT 2601, Australia. Australian Natl Univ, OzGrav ANU, Australian Res Council Ctr Excellence Gravitat Wa, Acton, ACT 2601, Australia.
-
Yap, Min Jet (författare)
-
- Adya, Vaishali (författare)
- KTH,Tillämpad fysik
-
visa fler...
-
Chua, Sheon (författare)
-
Slagmolen, Bram J. J. (författare)
-
McClelland, David E. (författare)
-
visa färre...
-
Australian Natl Univ, Ctr Gravitat Astrophys, Acton, ACT 2601, Australia Australian Natl Univ, OzGrav ANU, Australian Res Council Ctr Excellence Gravitat Wa, Acton, ACT 2601, Australia. Tillämpad fysik (creator_code:org_t)
- American Physical Society (APS), 2022
- 2022
- Engelska.
-
Ingår i: Physical Review D. - : American Physical Society (APS). - 2470-0010 .- 2470-0029. ; 106:4
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- The detection of kilohertz-band gravitational waves promises discoveries in astrophysics, exotic matter, and cosmology. To improve the kilohertz quantum noise-limited sensitivity of interferometric gravitational -wave detectors, we investigate nondegenerate internal squeezing: optical parametric oscillation inside the signal-recycling cavity with distinct signal-mode and idler-mode frequencies. We use an analytic Hamiltonian model to show that this stable, all-optical technique is tolerant to decoherence from optical detection loss and that it, with its optimal readout scheme, is feasible for broadband sensitivity enhancement.
Ämnesord
- NATURVETENSKAP -- Fysik -- Astronomi, astrofysik och kosmologi (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Astronomy, Astrophysics and Cosmology (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas