Commits on Source (3)
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Modified getCoatBrownian() to accept different Bulk and Shear Loss Angles and calculate brownian noise using Hong et a. PRD 87, 082001 (2013). New Function description: This function calculates Coating ThermoOptic noise using Hong et al . PRD 87, 082001 (2013). All references to 'the paper', 'Eq' adn 'Sec' are to this paper. ***Important Note*** Inside this function phi is used for denoting the phase shift suffered by light in one way propagation through a layer. This is in conflict with present nomenclature everywhere else where it is used as loss angle. The layers are assumed to be alernating low-n high-n layers, with low-n first. Inputs: f = frequency vector in Hz ifo = parameter struct from IFOmodel.m wBeam = beam radius (at 1 / e^2 power) dOpt = the optical thickness, normalized by lambda, of each coating layer. New required arguments: mTi = Mirror Transmittance Ic = Circulating Laser Power falling on the Mirror (W) The following new arguments should be made available in the Materials object and lines 108-110 and 116-118 should be uncommented: lossBlown = Coating Bulk Loss Angle of Low Refractive Index layer lossSlown = Coating Shear Loss Angle of Low Refractive Index layer lossBhighn = Coating Bulk Loss Angle of High Refractive Index layer lossShighn = Coating Shear Loss Angle of High Refractive Index layer PETlown = Relevant component of Photoelastic Tensor of High n layer* PEThighn = Relevant component of Photoelastic Tensor of Low n layer* Returns: SbrZ = Brownian noise spectra for one mirror in m^2 / Hz * Default values of PETlown and PEThighn are chosen from sec. A.1. to get the longitudnal coefficent of photoelasticity as -0.5 as been asserted by the paper there for Tantala and -0.27 for Silica. These values also need to be added in Materials object. -
Jameson Rollins authoredAdding Hong et al. calculations for Coating Brownian Noise See merge request gwinc/pygwinc!52
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Jameson Rollins authored
We don't want to advertise these parameters yet, since they will likely be changed to support different loss functions.
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