Search results for "Glitch"
showing 6 items of 6 documents
Classification of gravitational-wave glitches via dictionary learning
2018
We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supervised machine learning algorithm) for signal denoising, and untrained dictionaries for the final sparse reconstruction and classification. We use a data set of 3000 simulated glitches of three different waveform morphologies, comprising 1000 glitches per morphology. These data are embedded in non-white Gaussian noise to simulate the background noise of advanced LIGO in its broadband configuration. Our classification method yields a 96% accuracy for a large range of initial parameters, showing that learned diction…
Applying sound art research in modern electronic music production : glitch, loop, plunderphonics and sound collage as tools of production
2011
Tämä työ tehdään empiirisenä tutkimuksena äänitaiteesta ja sen suhteesta moderniin elektroniseen musiikkiin. Tätä tutkimusta varten suoritetut äänikokeilut seuraavat muutamia äänitaiteen historian pääsuuntauksia ja kertovat, miten nämä suuntaukset ovat vaikuttaneet elektronisen musiikin tuottajiin. Tutkimus on jaettu neljään osaan, joissa tutkitaan taiteen ja populäärimusiikin välistä suhdetta. Lisäksi kerrotaan, kuinka kokeellista musiikkitaidetta voidaan käyttää modernin elektronisen musiikin tuotantotyökaluna. Ensimmäinen kappale käsittää Glitch- ja Loopmusiikin väliset roolit välittömän ja välillisen nautinnon tuottajana Loop-pohjaisessa musiikissa. Samalla toinen ja kolmas kappale tutk…
L’errore fantastico. La fotografia astratta e l’estetica Glitch
2019
Con l’avvento del computer, dei software informatici e delle loro molteplici applicazioni, la fotografia inizia ad accostare alle rappresentazioni oggettive tutta una serie di sperimentazioni visive che rendono l’immagine scattata qualcos’altro da sé, con rese che di fatto si avvicinano più alla pittura che alla fotografia. Attraverso l’uso del Glitch, dell’imprevisto, tecnicamente dell’errore di sistema, l’immagine di partenza diventa una finestra verso visioni ed espressioni artistiche inimmaginabili. Ne derivano rappresentazioni affascinanti la cui bellezza inevitabilmente stupisce. With the advent of computers, computer software and their multiple applications, photography begins to com…
Erratum: “Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015–2017 LIGO Data” (2019, ApJ, 879, 10)
2019
Two analysis errors have been identified that affect the results for a handful of the high-value pulsars given in Table 1 of Abbott et al. (2019). One affects the Bayesian analysis for the five pulsars that glitched during the analysis period, and the other affects the 5n-vector analysis for J0711-6830. Updated results after correcting the errors are shown in Table 1, which now supersedes the results given for those pulsars in Table 1 of Abbott et al. (2019). Updated versions of figures can be seen in Figures 1-4. Bayesian analysis.-For the glitching pulsars, the signal phase evolution caused by the glitch was wrongly applied twice and was therefore not consistent with our expected model of…
Stadnik and Flambaum Reply:
2016
In the comment of Avelino, Sousa and Lobo [arXiv:1506.06028], it is argued, by comparing the kinetic energy of a topological defect with the overall energy of a pulsar, that the origin of the pulsar glitch phenomenon due to the passage of networks of topological defects through pulsars is faced with serious difficulties. Here, we point out that topological defects may trigger pulsar glitches within traditional scenarios, such as vortex unpinning. If the energy transfer from a topological defect exceeds the activation energy for a single pinned vortex, this may lead to an avalanche of unpinning of vortices and consequently a pulsar glitch, and therefore the source of angular momentum and ene…
Application of dictionary learning to denoise LIGO’s blip noise transients
2020
Data streams of gravitational-wave detectors are polluted by transient noise features, or ``glitches,'' of instrumental and environmental origin. In this work we investigate the use of total variation methods and learned dictionaries to mitigate the effect of those transients in the data. We focus on a specific type of transient, ``blip" glitches, as this is the most common type of glitch present in the LIGO detectors and their waveforms are easy to identify. We randomly select 100 blip glitches scattered in the data from advanced LIGO's O1 run, as provided by the citizen-science project Gravity Spy. Our results show that dictionary-learning methods are a valid approach to model and subtrac…