Paper Citation Record · LEDGER

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.17346.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.17346 v1

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Outbound references

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This paper cites Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA

Reference 1

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This paper cites GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run

Reference 2

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Advanced LIGO

Reference 3

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This paper cites GW150914: The Advanced LIGO Detectors in the Era of First Discoveries.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators GW150914: The Advanced LIGO Detectors in the Era of First Discoveries

Reference 4

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This paper cites Advanced Virgo: a 2nd generation interferometric gravitational wave detector.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Advanced Virgo: a 2nd generation interferometric gravitational wave detector

Reference 5

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This paper cites Overview of KAGRA: Detector design and construction history.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Overview of KAGRA: Detector design and construction history

Reference 6

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This paper cites Low Mechanical Loss TiO2 : GeO 2 Coatings for Reduced Thermal Noise in Gravitational Wave Interferometers.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Low Mechanical Loss TiO2 : GeO 2 Coatings for Reduced Thermal Noise in Gravitational Wave Interferometers

Reference 7

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This paper cites Titania Mixed with Silica: A Low Thermal-Noise Coating Material for Gravitational-Wave Detectors.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Titania Mixed with Silica: A Low Thermal-Noise Coating Material for Gravitational-Wave Detectors

Reference 8

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This paper cites Demonstration of the Multimaterial Coating Concept to Reduce Thermal Noise in Gravitational-Wave Detectors.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Demonstration of the Multimaterial Coating Concept to Reduce Thermal Noise in Gravitational-Wave Detectors

Reference 9

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This paper cites Brownian thermal noise in multilayer coated mirrors.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Brownian thermal noise in multilayer coated mirrors

Reference 10

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Observation 6672ac8a-f112-4fd2-9313-30c4580c4474 · outbound

This paper cites Thermal noise in interferometric gravitational wave detectors due to dielectric optical coatings.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Thermal noise in interferometric gravitational wave detectors due to dielectric optical coatings

Reference 11

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This paper cites Thermal noise and material issues for gravitational wave detectors.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Thermal noise and material issues for gravitational wave detectors

Reference 12

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This paper cites Internal thermal noise in the LIGO test masses: A direct approach.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Internal thermal noise in the LIGO test masses: A direct approach

Reference 13

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This paper cites Blade Tip Timing and Blade Tip Clearance Measurement System Based on Magnetoresistive Sensors.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Blade Tip Timing and Blade Tip Clearance Measurement System Based on Magnetoresistive Sensors

Reference 14

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Observation 49bbfa4a-2234-4c22-a4b3-0c80ce57020e · outbound

This paper cites COMSOL Multiphysics User’s Guide.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators COMSOL Multiphysics User’s Guide

Reference 15

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Observation c09975e7-f2b6-4804-9614-ea9d6c4aefe5 · outbound

This paper cites Thermoelastic dissipation in inhomogeneous media: loss measurements and displacement noise in coated test masses for interferometric gravitational wave detectors.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Thermoelastic dissipation in inhomogeneous media: loss measurements and displacement noise in coated test masses for interferometric gravitational wave detectors

Reference 16

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Observation f4b24d32-1177-48b1-9293-50c0bc3e8c7c · outbound

This paper cites A gentle nodal suspension for measurements of the acoustic attenuation in materials.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators A gentle nodal suspension for measurements of the acoustic attenuation in materials

Reference 17

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This paper cites Nested sampling with normalizing flows for gravitational-wave inference.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Nested sampling with normalizing flows for gravitational-wave inference

Reference 18

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This paper cites A high throughput instrument to measure mechanical losses in thin film coatings.

Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators A high throughput instrument to measure mechanical losses in thin film coatings

Reference 19

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Williams and Joe Bayley.mj-will/bayesbeat

Reference 20

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Unresolved cited work

Reference 21

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators The Theory of Probability

Reference 22

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Nested Sampling

Reference 23

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Nested sampling for general Bayesian computation

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Nested sampling for physical scientists

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Importance nested sampling with normalising flows

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Brownian Thermal Noise in Multilayer Coated Mirrors

Reference 27

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Williams et al.mj-will/nessai: v0.12.0

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Numba: a LLVM- based Python JIT compiler

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators corner.py: Scatterplot matrices in Python

Reference 30

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Matplotlib: A 2D graphics environment

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Array programming with NumPy

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators pandas-dev/pandas: Pandas

Reference 33

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

Reference 34

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators SymPy: symbolic computing in Python

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Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators url: https://doi.org/10.5281/zenodo

Reference 2020

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