Presentation is loading. Please wait.

Presentation is loading. Please wait.

Newtonian Noise Mitigation with Tensor Gravitational Wave Detector

Similar presentations


Presentation on theme: "Newtonian Noise Mitigation with Tensor Gravitational Wave Detector"— Presentation transcript:

1 Newtonian Noise Mitigation with Tensor Gravitational Wave Detector
Ho Jung Paik Department of Physics, University of Maryland 8th Japan-Korea Joint Workshop June 27, 2015

2 Superconducting tensor gravitational wave detector
(Superconducting Omni-directional Gravitational Radiation Observatory) SOGRO Rayleigh NN must be mitigated by 102 at 0.1 Hz for SOGRO 1 Infrasound NN must be mitigated by 103 at 0.1 Hz for SOGRO 1. Paik

3 Newtonian gravity noise
Seismic and atmospheric density modulations cause Newtonian gravity gradient noise. At 0.1 Hz, s ~ 35 km >> L.  Gravity gradient noise  L.  Detecting and removing the gravity gradient noise appears to be very challenging. GWs are transverse and cannot have longitudinal components whereas the Newtonian gradient does.  GW could be distinguished from near-field gradients, if all the tensor components are detected. Paik

4 NN due to Rayleigh waves
Metric perturbation tensor in the source frame: Paik

5 Removal of Rayleigh NN az() is measured by the vertical CM channel.
With tensor (SNR 103) + vertical CM (SNR 106) + 7 seism (5 km, SNR 103) With tensor + vertical CM (0 noise) Paik

6 Removal of infrasound NN
Infrasound waves come from half space with an additional unknown: polar angle of incidence  . Microphones are required to measure the air density fluctuations. With tensor + 15 mikes (0, 0.6, 1 km, SNR 104) Harms and Paik, PRD (2015) Satisfies SOGRO 1 requirement Is there any way that we can mitigate NN by using the tensor channels alone? Paik

7 NN mitigation by correlation?
Rayleigh and infrasound waves incident in different angles are uncorrelated with each other and with the GW signal. This allows us to determine autocorrelations of h+() and h() by combining correlations of various tensor outputs. Fourier transform of autocorrelation is power spectral density. Problem: It takes a long time to mitigate the NN by using correlation method. Paik

8 Could SOGRO help advanced detectors mitigate NN? (HW from R. Weiss)
Newtonian noise Worthy mitigation goal Worthy mitigation goal: A factor of ~10 to Hz-1/2 at 10 Hz and Hz-1/2 at 1 Hz. Paik

9 KAGRA sensitivity curve
The low-frequency noise of KAGRA could benefit from a similar NN rejection. Paik

10 Sensitivities to GW and NN
At 1-10 Hz, cR = 250 m/s (surface), 3.5 km/s (deep underground).  NN is uncorrelated between detector test masses. Paik

11 Incomplete correlation of NN
Mitigation factor S is given by the correlation CSN between the detector and the NN sensor: Beker et al., GRG 43, 623 (2011) It is much more challenging to mitigate the NN of ground detectors. Paik

12 Mini-SOGRO with 5-m arm length
L = 5 m, M = 1 t, T = 0.1 K, Q = 109, n = 2, fD = 1 Hz Mini-SOGRO with L = 5 m, M = 1 ton, T = 0.1 K could mitigate the NN at 1-10 Hz by a factor  5.  NN mitigation appears very challenging but not impossible. Paik


Download ppt "Newtonian Noise Mitigation with Tensor Gravitational Wave Detector"

Similar presentations


Ads by Google