Noise Sources Research Articles

Time-Delay Interferometry: The Key Technique in Data Pre-Processing Analysis of Space-Based Gravitational Waves

Space gravitational wave detection primarily focuses on the rich wave sources corresponding to the millihertz frequency band, which provide key information for studying the fundamental physics of cosmology and astrophysics. However, gravitational wave signals are extremely weak, and any noise during the detection process could potentially overwhelm the gravitational wave signals. Therefore, data pre-processing is necessary to suppress the main noise sources. Among the various noise sources, laser phase noise is dominant, approximately seven orders of magnitude larger in strength than typical gravitational wave signals, and requires suppression using time-delay interferometry (TDI) techniques, which involve combining raw data with time delays. This paper will be based on the basic principles of TDI to present methods for obtaining multi-type TDI combinations, including algebraic methods for solving indeterminate equations and geometric methods for symbolic search. Furthermore, the applicability of TDI under actual operating conditions will be considered, such as the arm locking in conjunction with the TDI algorithm. Finally, the sensitivity functions for different types of TDI combinations will be provided, which can be used to evaluate the signal-to-noise ratio (SNRs) of different TDI combinations.

Sources of seismic noise in an open-pit mining environment

We present the characterization of the sources of vibration in the open-pit Riotinto mine (southern Spain), based on the data recorded by a dense seismic network of 30 stations located along a 1-km long segment of a tailings dam. We describe the most common transient signals detected, including local and distant earthquakes, blasting and vehicles. The time variations in the amplitude of the 10–40 Hz frequency band are then used to define three phases of activity during the recording period. The phase with the highest seismic amplitudes is observed during a time interval of five weeks, coinciding with the civil works carried out for the regrowth of the dam, necessary to correctly capture the continuously increasing amount of tailings. In the last three months of operation of our network, the seismic noise is dominated by the deposition of tailings into the pond, enabling the use of seismic data to monitor into detail the evolution of the deposition process.

MITOCHONDRIAL MEMBRANE POTENTIAL IS A FUNCTIONALLY RELEVANT AXIS OF NON-GENETIC CELLULAR HETEROGENEITY IN GLIOBLASTOMA

Abstract AIMS Glioma stem cells (GSCs) are believed to underpin treatment resistance in glioblastoma by virtue of their self- renewal capabilities and presumed transcriptional plasticity. Understanding how cell state diversity is established and maintained is crucial to make therapeutic gains. We have previously shown mitochondrial membrane potential (MMP) to be a functionally relevant source of extrinsic noise in embryonic and haematopoietic stem cells. This study evaluates cellular MMP as an axis of variability in GSCs. METHOD MMP was measured by flow cytometry in patient-derived GSC lines using cationic dyes that diffuse reversibly across the mitochondrial membrane in a voltage dependent manner. MMP-high and low populations (top and bottom 10-20%) were fractionated and subjected to RNA-sequencing and assays of proliferation and clonogenicity. Correlation between MMP and global transcription rate was investigated through a uridine analogue (5-EU) incorporation assay. The relationship between MMP and quiescence was assessed, with quiescence defined as inducible histone2B-GFP label retention after 10 days. Timecourse data for MMP was obtained through sequential staining. RESULTS RNA sequencing identified differential gene expression and exon utilization according to MMP status. MMP- high cells upregulated cell cycle genes, while MMP-low cells exhibited a diverse signature suggestive of a more differentiated state. A greater proportion of MMP-high cells were in cycle, but MMP-low cells formed more colonies. MMP positively correlated with global transcription rate in both cycling and quiescent GSCs. Time- course experiments revealed dynamic periodicity in cellular MMP. CONCLUSION The MMP axis reveals transcriptional and functional heterogeneity in GSCs and importantly unmasks phenotypic variability within the treatment-refractory quiescent compartment. The positive correlation between MMP and transcription rate, along with splicing differences, suggests a mechanism underlying functional diversity. Given the oscillatory dynamics of MMP, we postulate that stable-low MMP may define a deeply quiescent, therapy-resistant state. Evaluating MMP as a tractable regulator of GSC fate is warranted.

Transient flow and noise characteristics of vortex-turbulence-noise interaction in centrifugal pump

Centrifugal pump operation noise is an avoidable common phenomenon in engineering practices, and its characteristics are closely influenced by the flow characteristics of the fluid. In this paper, a numerical simulation of centrifugal pump operation with different flow rates is carried out using the detached eddy simulation turbulence model and compared with the experimental results. Then the noise source and far-field radiated noise characteristics of the centrifugal pump are investigated using Lighthill’s analogy. The results show that the noise of centrifugal pump is closely related to the flow characteristics of impeller, especially the generation and development of vortex. The relationship between turbulent kinetic energy (TKE) and vortex is complex, involving the generation, development and shedding of vortex. The influence of flow rate variation on vortex structure in impeller is studied by vortex transport equation. It is found that the relative vortex stretching (RVS) term is the main driving force of vortex distribution. The distribution of the Coriolis force (CORF) term is mainly concentrated in the inlet and outlet areas of the flow channel, which is related to the rotational motion of the impeller and the dynamic characteristic of the fluid. The power spectral density inside the impeller is mainly concentrated in the low frequency region, indicating that the low frequency noise component is dominant in energy. The directivity curve of far-field noise pressure level is influenced by hydrodynamic effect, impeller rotation direction and pump design structure, and will have a certain deviation. The spectral curve analysis of velocity, vorticity, pressure and sound pressure level shows that these physical quantities have strong correlation on the spectrum, in which the low frequency component is large, and the high frequency component is complex and volatile.

Analysis and measurement of magnetic noise for tesla shielding based on superconducting coils applied to SERF magnetometer

Tesla Shielding (TS) is closed superconducting coils composed of superconducting tape, designed to resist changing magnetic fields, thereby achieving magnetic shielding. TS, optically transparent, is suitable for integration with spin exchange relaxation-Free (SERF) magnetometers, thereby improving the sensitivity of SERF magnetometers. However, no prior research has been conducted on the magnetic noise of TS. Noise source identification was conducted on the superconducting tapes used in the TS. We modeled the magnetic noise of superconducting coils, analyzed the the relationship between geometric parameters and magnetic noise of coils, and proposed methods to suppress magnetic noise. Finally, we established a measurement system to measure the magnetic noise of superconducting coils. The results confirm the feasibility of the magnetic noise calculation model and the effectiveness of the methods for suppressing magnetic noise. This study can guide the design of TS, which is important for improving the sensitivity of SERF magnetometers.

Impact of easy-care and softener treatments on fabric frictional noise properties: a study on two protective fabrics

This research aimed to reduce fabric frictional noise to enhance wearing comfort, as such noise can be bothersome. This goal was achieved through chemical surface treatments, specifically cross-linker treatment and silicone softener treatment. Frictional noise from the treated fabrics was generated, recorded, and analyzed using a frictional noise generator, fast Fourier transform, and sixth-band analysis to determine the total noise level. A novel aspect of this work is the use of psychoacoustic characterization to evaluate the fabric frictional noise by calculating Zwicker’s parameters using the Brüel and Kjær application. In addition, the mechanical properties were tested using the Kawabata compression and surface testers, with data comparison achieved using Student’s t-test. The results showed that softeners are more effective than cross-linkers in reducing the total frictional noise level, loudness, and fluctuation strength. However, cross-linkers are better at reducing sharpness. Neither treatment affected the roughness of the frictional noise. In summary, both easy-care and softener treatments help reduce discomfort and produce less loud and sharp fabric frictional noise.

Holographic Method of Localization of Underwater Noise Source in Shallow Water

Holographic signal processing of noise signals by using of the vector-scalar receivers is described. The results of an experiment on the detection and direction estimation of an underwater noise source are presented. The experiment was conducted in Black Sea. The source noise emission was received by vector-scalar receivers. Holographic signal processing made it possible to detect, localize and resolve an underwater source with a low input signal/interference ratio against the background of intensive surface navigation.

Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables

SUMMARY Distributed acoustic sensing (DAS) technology enables the detection of waves generated by seismic events, generally as uniaxial strain/strain rate time-series observed for dense, subsequent, portions of a Fibre Optic Cable (FOC). Despite the advantages in measurement density, data quality is often affected by uniaxial signal polarization, site effects and cable coupling, beyond the physical energy decay with distance. To better understand the relative importance of these factors for data inversion, we attempt a first modelling of noise patterns affecting DAS arrival times for a set of seismic events. The focus is on assessing the impact of noise statistics, together with the geometry of the problem, on epicentral location uncertainties. For this goal, we consider 15 ‘real-world’ cases of DAS arrays with different geometry, each associated with a seismic event of known location. We compute synthetic P-wave arrival times and contaminate them with four statistical distributions of the noise. We also estimate P-wave arrival times on real waveforms using a standard seismological picker. Eventually, these five data sets are inverted using a Markov chain Monte Carlo method, which offers the evaluation of the relative event location differences in terms of posterior probability density (PPD). Results highlight how cable geometry influences the shape, extent and directionality of the PPDs. However, synthetic tests demonstrate how noise assumptions on arrival times often have important effects on location uncertainties. Moreover, for half of the analysed case studies, the observed and synthetic locations are more similar when considering noise sources that are independent of the geometrical characteristics of the arrays. Thus, the results indicate that axial polarization, site conditions and cable coupling, beyond other intrinsic features (e.g. optical noise), are likely responsible for the complex distribution of DAS arrival times. Overall, the noise sensitivity of DAS suggests caution when applying geometry-only-based approaches for the a priori evaluation of novel monitoring systems.

Concept study of a storage ring-based gravitational wave observatory: Gravitational wave strain and synchrotron radiation noise

This work for the first time addresses the feasibility of measuring millihertz gravitational waves (mHz GWs) with a storage ring-based detector. While this overall challenge consists of several partial problems, here we focus solely on quantifying design limitations imposed by the kinetic energy and radiated power of circulating ions at relativistic velocities. We propose an experiment based on the measurement of the time-of-flight signal of an ion chain. One of the dominant noise sources inherent to the measurement principle for such a GW detector is the shot noise of the emitted synchrotron radiation. We compute the noise amplitude of arrival time signals obtained by analytical estimates and simulations of ions with different masses and velocities circulating in a storage ring with the circumference of the Large Hadron Collider. Thereby, we show that our experiment design could reduce the noise amplitude due to the synchrotron radiation in the frequency range 10−4–10−2 Hz to one or two orders of magnitude below the expected GW signals from of astrophysical sources, such as supermassive binary black holes or extreme mass-ratio inspirals. Other key requirements for building a working storage ring-based GW detector include the generation and acceleration of heavy ion chains with the required energy resolution, their injection and continued storage, as well as the detection method to be used for the determination of the particle arrival time. However, these are not the focus of the work presented here, in which we instead concentrate on the definition of a working principle in terms of ion type, kinetic energy, and ring design, which will later serve as a starting point when addressing a more complete experimental setup. Published by the American Physical Society 2024

Impact of a two-dimensional steep hill on wind turbine noise propagation

Abstract. Wind turbine noise propagation in a hilly terrain is studied through numerical simulation in different scenarios. Linearized Euler equations are solved in a moving frame that follows the wavefront, and wind turbine noise is modeled with an extended moving source. We employ large-eddy simulations to simulate the flow around the hill and the wind turbine. The sound pressure levels (SPLs) obtained for a wind turbine in front of a 2D hill and a wind turbine on a hilltop are compared to a baseline flat case. First, the source height and wind speed strongly affect sound propagation downwind. We find that topography influences the wake shape, inducing changes in the sound propagation that drastically modify the SPL downwind. Placing the turbine on the hilltop increases the average sound pressure level and amplitude modulation downwind. For the wind turbine placed upstream of a hill, a strong shielding effect is observed. But, because of the refraction by the wind gradient, levels are comparable with the baseline flat case just after the hill. Thus, considering how terrain topography alters the flow and wind turbine wake is essential to accurately predict wind turbine noise propagation.

Responses to sound in three Centrarchid species: Do heterospecific interactions change behavior?

Due to the increasing prevalence and variety of underwater anthropogenic noise sources, and the growing human population, anthropogenic noise has the potential to negatively impact aquatic organisms. With this growing threat, the question of how fishes respond to this stressor in their natural environments becomes more urgent. The current study used behavioral trials with bluegill sunfish Lepomis macrochirus, pumpkinseed sunfish Lepomis gibbosus, and rock bass Ambloplites rupestris, both in isolation and in a heterospecific trial, to determine how behaviors indicative of stress were influenced by interspecific interactions when exposed to recordings of pure tones and boat motors. Regardless of social context, all three species experienced an increase in fin beats per second, an increase in time spent at the bottom of the pen, and a decrease in time spent swimming when exposed to boat noise. Fishes in heterospecific trials experienced more fin beats per second and spent less time swimming, but there was no significant difference when comparing time spent at the bottom of pen with fish in individual trials. Our findings of behavioral changes when exposed to acoustic stimuli, in two social contexts, allow for a deeper understanding of interspecific effects and provide insight into how varied field studies can be useful in studying fish behavior when encountering acoustic stressors.

Mitigating noise in digital and digital–analog quantum computation

Noisy Intermediate-Scale Quantum (NISQ) devices lack error correction, limiting scalability for quantum algorithms. In this context, digital-analog quantum computing (DAQC) offers a more resilient alternative quantum computing paradigm that outperforms digital quantum computation by combining the flexibility of single-qubit gates with the robustness of analog simulations. This work explores the impact of noise on both digital and DAQC paradigms and demonstrates DAQC’s effectiveness in error mitigation. We compare the quantum Fourier transform and quantum phase estimation algorithms under a wide range of single and two-qubit noise sources in superconducting processors. DAQC consistently surpasses digital approaches in fidelity, particularly as processor size increases. Moreover, zero-noise extrapolation further enhances DAQC by mitigating decoherence and intrinsic errors, achieving fidelities above 0.95 for 8 qubits, and reducing computation errors to the order of 10−3. These results establish DAQC as a viable alternative for quantum computing in the NISQ era.

Noise propagation variations over long distances over water

This paper investigates the short temporal variations of noise propagation over a water surface for long distances. Analysis is formed on the results of a measurement campaign for downwind noise propagation over water for elevated sound sources. Noise propagation over water for elevated noise sources is specifically relevant for offshore wind turbines, near shore wind turbines or wind turbines on land close to large water bodies. The measurement setup is a height-adjustable sound source placed at three different heights 81 m, 50 m and 30 m above ground and microphones positioned downwind at shore and ~100 m inland at three different distances over water from the sound source ~3 km, ~5 km and ~7 km. The meteorological conditions wind speed, wind direction, atmospheric stability, temperature, humidity, etc. were monitored continuously at both ends of the setup, utilizing both a tall met mast, a wind profiler and sonic anemometers at multiple heights. The results are used for improving auralisations of noise from offshore wind turbines and offshore wind farms. In addition to this a semi-analytical model for propagation over water is tested.

Study of noise perception and health effects on population through a questionnaire in Spanish households during the COVID-19 lockdown

During the first wave of COVID-19, an online questionnaire was conducted to gather the Spanish population's perception of noise from households and its relationship with health effects. This research, which was conducted with 582 participants, examined several sources of noise (general noise, noise produced by family members inside the home, noise from neighbors, noise from common areas, facilities, and exterior noise) and various self-declared health effects by the participants such as stress, lack of concentration, sleep disturbances, anxiety, or irritability. A descriptive and statistical analysis was established between variables to observe relational trends for two periods (before and during confinement). The study demonstrates interesting relational trends that allow for both associating different noise sources with potential health effects and contextualizing them against other causes that remained consistent in both periods.

Modelling Newtonian noise of vibroacoustic origin in the Virgo gravitational wave detector

With ~100 detections by the LIGO-Virgo-KAGRA network, gravitational astronomy has definitely begun. The Virgo detector is a modified Michelson interferometer with two arms of 3km each, made of optical resonator housing ~100 kW laser beams. It can measure a gravitational strain (ΔL/L) of ~10^(-21). The detector is susceptible to various sources of noise within specific frequency bands. Among these, the "Newtonian" or "gravity-gradient" noise (seismic and atmospheric/acoustic) could limit the low-frequency sensitivity (below a few tens of Hz) of LIGO and Virgo as they reach their full sensitivity, as well as that of next-generation detectors such as the European Einstein Telescope and the US Cosmic Explorer. This paper focuses on modeling Newtonian noise of acoustic origin, which refers to the small fluctuations in the gravity field resulting from the acoustic field present in the experimental halls. The fluctuating gravitational field directly causes random forces on sensitive optical elements, such as the interferometer test masses. The induced noise is quantified using a numerical acoustic model of the experimental room when it is excited by the air conditioning system.

Analysis of representation and generalization capabilities of pre-trained audio models in urban environments

In the last decade, urban noise pollution has become a significant environmental concern that can be mitigated with the help of audio detection algorithms for classifying different sources of noise and creating more informative noise maps. In this context, machine learning, particularly transfer learning, is an essential technology that enables accurate analysis of urban noise sources. However, the choice of the pre-trained model used to compute audio embeddings can significantly influence the performance of downstream classification tasks. This paper aims to compare the embeddings of various pre-trained models on different data collection campaigns in the context of the Sons al balcó project and quantify the robustness of audio representations. To achieve this, we develop metrics and statistically test the presence of distribution shifts in learned latent features. To evaluate the quality of the embeddings, we perform both qualitative and quantitative analysis using dimensionality reduction methods and assess the performance on downstream tasks using data from different collection campaigns. Results highlight major differences between general purpose and specific models. Our findings suggest the need for careful consideration during the choice of the pre-trained model to use in audio event detection applications.

Characterization of maritime traffic noise in two areas of the Mediterranean

One of the objectives of the European JPI Oceans DeuteroNoise project is to investigate the soundscapes within different sea basins. Measurement campaigns, including the recording of raw noise data (wave files), have been carried out in the Venice Lagoon, in the North Adriatic and on Barcelona shore. In this work we will present the first results. The data acquired were processed to obtain the characteristic spectrum and noise levels; subsequently the velocity of the particles will be acquired and analysed. The analysis of the recorded data involves the design of a taxonomy of anthropogenic noise sources, e.g. large ships, small boats or any other existing noise source. The recorded data were labelled with these sources, describing their main audio characteristics (spectral distribution, temporal evolution, etc.) for their characterization and future blind identification. Throughout the measurement period, ship and route data were acquired using AIS (Automatic Identification System) and Vessel Monitoring System (VMS) in the measurement sites. The preliminary analysis and labelling, together with ship and route data, will allow the reproduction of acoustic environments of anthropogenic origin in laboratories and the creation of acoustic maps of the basins investigated using commercial software.

A positive semi definite tensor factorization method for separation of non stationary noise sources

In the aircraft industry, noise mitigation has emerged as an increasingly pressing issue, underscoring the critical importance of advancing our understanding of noise origins within turbofan engines. This paper presents the application of Positive Semi Definite Tensor Factorization (PSDTF), a potential method for the analysis of engine static tests conducted with far-field microphone arrays. By extending the capabilities of Non-negative Matrix Factorization (NMF), PSDTF offers an effective algorithm for source separation. Leveraging on cross spectral matrices to harness phase information across microphones, this approach aims at separating the contributions of several noise sources, avoiding the need for a precise acoustical model (sound propagation, source directivity, etc.). Experimental findings on a controlled experiment demonstrate the superiority of PSDTF over conventional NMF variants in achieving higher-quality source separation.

Nationwide noise mapping across Sweden's green landscape

This research project presents a mapping of noise levels in green areas across all of Sweden, with a particular emphasis on nature reserves, national parks, and other recreational spaces. Utilising the Nord2000 noise prediction method, our study incorporates the following noise sources: road traffic, railway traffic, wind turbines, and airports. Our analysis includes longer propagation distances than typical noise maps (up to 8 km) to account for distant sources, given the importance of low noise levels in pristine natural environments. Weather conditions play a crucial role in long-range sound propagation; therefore, we have integrated ten years of weather statistics (2013-2022) from the ERA5 climate dataset into our assessment. This mapping effort represents one of the first nationwide noise mapping initiatives with a specific focus on low-exposure natural areas. Our findings not only provide valuable insights for policymakers and stakeholders in managing and preserving the acoustic quality of Sweden's green spaces but also offer a foundation for analysing the potential impact of noise pollution on wildlife and biodiversity within these ecologically sensitive areas. The resulting noise map and relevant weather statistics are publicly released and downloadable. Participants from industry, government, and academia cooperated in this environmental monitoring project.

Systematic analysis of acoustic source localization maps for performance assessment

Noise pollution is a raising problematic mainly associated to the development of industry, cities, and transportation. In that context, the characterization of noise sources is key point to help the understanding of noise generation mechanisms and to be able to develop effective noise reduction strategies. Microphones phased array measurements can be used as input to solve the inverse problem of source localization allowing to obtain source maps for each frequency of interest. Conventional beamforming (CBF) is the most famous source localization algorithm which uses the interpretation of the propagation delays measured between each array microphones. However, the analysis of output source maps can be made difficult by the low spatial resolution in the low-frequency range and the presence of side-lobes associated with microphones distribution that can lead to additional wrong sources. This paper presents a systematic analysis of source maps to identify potential noise sources by using different methods (local maxima, Metropolis-Hastings). The set of potential noise sources can then be compared to the set of real sources to assess the CBF performances. This methodology is successfully applied to measurements performed in anechoic room for various source configurations highlighting CBF limitations (spatial resolution, correlated sources, reflective environment).