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23 results on '"Gadre, Bhooshan"'

1. Detectability of eccentric binary black holes with PyCBC and cWB pipelines during the third observing run of LIGO-Virgo-KAGRA

Author

Gadre, Bhooshan, Soni, Kanchan, Tiwari, Shubhanshu, Ramos-Buades, Antoni, Haney, Maria, and Mitra, Sanjit

Subjects
General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Detecting binary black hole (BBH) mergers with quantifiable orbital eccentricity would confirm the existence of a dynamical formation channel for these binaries. The current state-of-the-art gravitational wave searches of LIGO-Virgo-KAGRA strain data focus more on quasicircular mergers due to increased dimensionality and lack of efficient eccentric waveform models. In this work, we compare the sensitivities of two search pipelines, the matched filter-based \texttt{PyCBC} and the unmodelled coherent Wave Burst (\texttt{cWB}) algorithms towards the spinning eccentric BBH mergers, using a multipolar nonprecessing-spin eccentric signal model, \texttt{SEOBNRv4EHM}. Our findings show that neglecting eccentricity leads to missed opportunities for detecting eccentric BBH mergers, with \texttt{PyCBC} exhibiting a $10-20\, \%$ sensitivity loss for eccentricities exceeding $0.2$ defined at $10$ Hz. In contrast, \texttt{cWB} is resilient, with a $10\, \%$ sensitivity increase for heavier ($\mathcal{M} \ge 30 \, \text{M}_{\odot}$) eccentric BBH mergers, but is significantly less sensitive than \texttt{PyCBC} for lighter BBH mergers. Our fitting factor study confirmed that neglecting eccentricity biases the estimation of chirp mass, mass ratio, and effective spin parameter, skewing our understanding of astrophysical BBH populations, fundamental physics, and precision cosmology. Our results demonstrate that the current search pipelines are not sufficiently sensitive to eccentric BBH mergers, necessitating the development of a dedicated matched-filter search for these binaries. Whereas, burst searches should be optimized to detect lower chirp mass BBH mergers as eccentricity does not affect their search sensitivity significantly., Comment: 15 pages, 22 figures

Published
2024

2. Gravitational-wave template banks for novel compact binaries

Author

Schmidt, Stefano, Gadre, Bhooshan, and Caudill, Sarah

Subjects
General Relativity and Quantum Cosmology
Abstract

We introduce a novel method to generate a bank of gravitational-waveform templates of binary black hole (BBH) mergers for matched-filter searches in LIGO, Virgo and Kagra data.We derive a novel expression for the metric approximation to the distance between templates, which is suitable for precessing BBHs and/or systems with higher-order modes (HM) imprints and we use it to meaningfully define a template probability density across the parameter space. We employ a masked autoregressive normalizing flow model which can be conveniently trained to quickly reproduce the target probability distribution and sample templates from it. Thanks to the normalizing flow, our code takes a few {\it hours} to produce random template banks with millions of templates, making it particularly suitable for high-dimensional spaces, such as those associated to precession, eccentricity and/or HM. After validating the performance of our method, we generate a bank for precessing black holes and a bank for aligned-spin binaries with HMs: with only 5% of the injections with fitting factor below the target of 0.97, we show that both banks cover satisfactorily the space. Our publicly released code mbank will enable searches of high-dimensional regions of BBH signal space, hitherto unfeasible due to the prohibitive cost of bank generation.

Published
2023

3. A fully precessing higher-mode surrogate model of effective-one-body waveforms

Author

Gadre, Bhooshan, Pürrer, Michael, Field, Scott E., Ossokine, Serguei, and Varma, Vijay

Subjects
General Relativity and Quantum Cosmology
Abstract

We present a surrogate model of \texttt{SEOBNRv4PHM}, a fully precessing time-domain effective-one-body waveform model including subdominant modes. We follow an approach similar to that used to build recent numerical relativity surrogate models. Our surrogate is 5000M in duration, covers mass-ratios up to 1:20 and dimensionless spin magnitudes up to 0.8. Validating the surrogate against an independent test set we find that the bulk of the surrogate errors is less than $\sim 1\%$ in mismatch, which is similar to the modelling error of \texttt{SEOBNRv4PHM} itself. At high total mass a few percent of configurations can exceed this threshold if they are highly precessing and they exceed a mass-ratio of 1:4. This surrogate is nearly two orders of magnitude faster than the underlying time-domain \texttt{SEOBNRv4PHM} model and can be evaluated in $\sim 50$ ms. Bayesian inference analyses with \texttt{SEOBNRv4PHM} are typically very computationally demanding and can take from weeks to months to complete. The two order of magnitude speedup attained by our surrogate model enables practical parameter estimation analyses with this waveform family. This is \emph{crucial} because Bayesian inference allows us to recover the masses and spins of binary black hole mergers given a model of the emitted gravitational waveform along with a description of the noise., Comment: 14 pages, 11 figures

Published
2022

4. Hierarchical search for compact binary coalescences in the Advanced LIGO's first two observing runs

Author

Soni, Kanchan, Gadre, Bhooshan Uday, Mitra, Sanjit, and Dhurandhar, Sanjeev

Subjects
General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Detection of many compact binary coalescences (CBCs) is one of the primary goals of the present and future ground-based gravitational-wave (GW) detectors. While increasing the detectors' sensitivities will be crucial in achieving this, efficient data analysis strategies can play a vital role. With given computational power in hand, efficient data analysis techniques can expand the size and dimensionality of the parameter space to search for a variety of GW sources. Matched filtering based analyses that depend on modeled signals to produce adequate signal-to-noise ratios for signal detection may miss them if the parameter space is too restrained. Specifically, the CBC search is currently limited to non-precessing binaries only, where the spins of the components are either aligned or anti-aligned to the orbital angular momentum. A hierarchical search for CBCs is thus well motivated. The first stage of this search is performed by matched filtering coarsely sampled data with a coarse template bank to look for candidate events. These candidates are then followed up for a finer search around the vicinity of an event's parameter space. Performing such a search leads to enormous savings in computational cost. Here we report the first successful implementation of the hierarchical search as a PyCBC-based production pipeline to perform a complete analysis of LIGO observing runs. With this, we analyze Advanced LIGO's first and second observing run data. We recover all the events detected by the PyCBC (flat) search in the first GW catalog, GWTC-1, published by the LIGO-Virgo collaboration, with nearly the same significance using a scaled background. In the analysis, we get an impressive factor of 20 reduction in computation compared to the flat search. With a standard injection study, we show that the sensitivity of the hierarchical search remains comparable to the flat search within the error bars., Comment: 15 pages, 11 figures

Published
2021
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5. Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216

Author

Jadhav, Shreejit, Mukund, Nikhil, Gadre, Bhooshan, Mitra, Sanjit, and Abraham, Sheelu

Subjects
General Relativity and Quantum Cosmology, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Machine Learning
Abstract

We present a novel Machine Learning (ML) based strategy to search for binary black hole (BBH) mergers in data from ground-based gravitational wave (GW) observatories. This is the first ML-based search that not only recovers all the compact binary coalescences (CBCs) in the first GW transients catalog (GWTC-1), but also makes a clean detection of GW151216 by only adding a new coincident ranking statistic (MLStat) to a standard analysis that was used for GWTC-1. In CBC searches, reducing contamination by terrestrial and instrumental transients, which create a loud noise background by triggering numerous false alarms, is crucial to improving the sensitivity for detecting true events. The sheer volume of data and a large number of expected detections also prompts the use of ML techniques. We perform transfer learning to train "InceptionV3", a pre-trained deep neural network, along with curriculum learning to distinguish GW signals from noisy events by analysing their continuous wavelet transform (CWT) maps. MLStat incorporates information from this ML classifier into the coincident search likelihood used by the standard PyCBC search. This leads to at least an order of magnitude improvement in the inverse false-alarm-rate (IFAR) for the previously "low significance" events GW151012, GW170729 and GW151216. We also perform the parameter estimation of GW151216 using SEOBNRv4HM_ROM. We carry out an injection study to show that MLStat brings substantial improvement to the detection sensitivity of Advanced LIGO for all compact binary coalescences. The average improvement in the sensitive volume is ~10% for low chirp masses (0.8-5 Msun), and ~30% for higher masses (5-50 Msun). This work demonstrates the immense potential and readiness of MLStat for finding new sources in current data and the possibility of its adaptation in similar searches., Comment: Changes to match the published version - results with retrained CNN, injection study. 11 pages, 8 figures

Published
2020
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6. Realtime search for compact binary mergers in Advanced LIGO and Virgo's third observing run using PyCBC Live

Author

Canton, Tito Dal, Nitz, Alexander H., Gadre, Bhooshan, Davies, Gareth S. Cabourn, Villa-Ortega, Verónica, Dent, Thomas, Harry, Ian, and Xiao, Liting

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology
Abstract

The third observing run of Advanced LIGO and Advanced Virgo took place between April 2019 and March 2020 and resulted in dozens of gravitational-wave candidates, many of which are now published as confident detections. A crucial requirement of the third observing run has been the rapid identification and public reporting of compact binary mergers, which enabled massive followup observation campaigns with electromagnetic and neutrino observatories. PyCBC Live is a low-latency search for compact binary mergers based on frequency-domain matched filtering, which has been used during the second and third observing runs, together with other low-latency analyses, to generate these rapid alerts from the data acquired by LIGO and Virgo. This paper describes and evaluates the improvements made to PyCBC Live after the second observing run, which defined its operation and performance during the third observing run., Comment: 14 pages, 6 figures. Matches version accepted by ApJ

Published
2020
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7. Hierarchical search strategy for the efficient detection of gravitational waves from non-precessing coalescing compact binaries with aligned-spins

Author

Gadre, Bhooshan, Mitra, Sanjit, and Dhurandhar, Sanjeev

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology
Abstract

In the first two years of Gravitational Wave (GW) Astronomy, half a dozen compact binary coalescences (CBCs) have been detected. As the sensitivities and bandwidths of the detectors improve and new detectors join the network, many more sources are expected to be detected. The goal will not only be to find as many sources as possible in the data but to understand the dynamics of the sources much more precisely. Standard searches are currently restricted to a smaller parameter space which assumes aligned spins. Construction of a larger and denser parameter space, and optimising the resultant increase in false alarms, pose a serious computational challenge. We present here a two-stage hierarchical strategy to search for CBCs in data from a network of detectors and demonstrate the computational advantage in real life scenario by introducing it in the standard {\tt PyCBC} pipeline with the usual restricted parameter space. With this strategy, in simulated data containing stationary Gaussian noise, we obtain a computational gain of $\sim 20$ over the flat search. In real data, we expect the computational gain up to a factor of few. This saving in the computational effort will, in turn, allow us to search for precessing binaries. Freeing up computation time for the regular analyses will provide more options to search for sources of different kinds and to fulfil the never-ending urge for extracting more science out of the data with limited resources., Comment: 17 pages, 17 figures

Published
2018
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8. Detection and characterization of spin-orbit resonances in the advanced gravitational wave detectors era

Author

Afle, Chaitanya, Gupta, Anuradha, Gadre, Bhooshan, Kumar, Prayush, Demos, Nick, Lovelace, Geoffrey, Choi, Han Gil, Lee, Hyung Mok, Mitra, Sanjit, Boyle, Michael, Hemberger, Daniel A., Kidder, Lawrence E., Pfeiffer, Harald P., Scheel, Mark A., and Szilagyi, Bela

Subjects
General Relativity and Quantum Cosmology
Abstract

In this paper, we test the performance of templates in detection and characterization of Spin-orbit resonant (SOR) binaries. We use precessing SEOBNRv3 waveforms as well as {\it four} numerical relativity (NR) waveforms to model GWs from SOR binaries and filter them through IMRPhenomD, SEOBNRv4 (non-precessing) and IMRPhenomPv2 (precessing) approximants. We find that IMRPhenomD and SEOBNRv4 recover only $\sim70\%$ of injections with fitting factor (FF) higher than 0.97 (or 90\% of injections with ${\rm FF} >0.9$).However, using the sky-maxed statistic, IMRPhenomPv2 performs magnificently better than their non-precessing counterparts with recovering $99\%$ of the injections with FFs higher than 0.97. Interestingly, injections with $\Delta \phi = 180^{\circ}$ have higher FFs ($\Delta \phi$ is the angle between the components of the black hole spins in the plane orthogonal to the orbital angular momentum) as compared to their $\Delta \phi =0^{\circ}$ and generic counterparts. This implies that we will have a slight observation bias towards $\Delta \phi=180^{\circ}$ SORs while using non-precessing templates for searches. All template approximants are able to recover most of the injected NR waveforms with FFs $>0.95$. For all the injections including NR, the error in estimating chirp mass remains below $<10\%$ with minimum error for $\Delta \phi = 180^{\circ}$ resonant binaries. The symmetric mass ratio can be estimated with errors below $15\%$. The effective spin parameter $\chi_{\rm eff}$ is measured with maximum absolute error of 0.13. The in-plane spin parameter $\chi_p$ is mostly underestimated indicating that a precessing signal will be recovered as a relatively less precessing signal. Based on our findings, we conclude that we not only need improvements in waveform models towards precession and non-quadrupole modes but also better search strategies for precessing GW signals., Comment: 27 pages, 15 figures. Abstract shortened due to word limit

Published
2018
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9. A unified approach to $\chi^2$ discriminators for searches of gravitational waves from compact binary coalescences

Author

Dhurandhar, Sanjeev, Gupta, Anuradha, Gadre, Bhooshan, and Bose, Sukanta

Subjects
General Relativity and Quantum Cosmology
Abstract

We describe a general mathematical framework for $\chi^2$ discriminators in the context of the compact binary coalescence search. We show that with any $\chi^2$ is associated a vector bundle over the signal manifold, that is, the manifold traced out by the signal waveforms in the function space of data segments. The $\chi^2$ is then defined as the square of the $L_2$ norm of the data vector projected onto a finite dimensional subspace (the fibre) of the Hilbert space of data trains and orthogonal to the signal waveform - any such fibre leads to a $\chi^2$ discriminator and the full vector bundle comprising the subspaces and the base manifold constitute the $\chi^2$ discriminator. We show that the $\chi^2$ discriminators used so far in the CBC searches correspond to different fiber structures constituting different vector bundles on the same base manifold, namely, the parameter space. The general formulation indicates procedures to formulate new $\chi^2$s which could be more effective in discriminating against commonly occurring glitches in the data. It also shows that no $\chi^2$ with a reasonable degree of freedom is foolproof. It could also shed light on understanding why the traditional $\chi^2$ works so well. As an example, we propose a family of ambiguity $\chi^2$ discriminators that is an alternative to the traditional one. Any such ambiguity $\chi^2$ makes use of the filtered output of the template bank, thus adding negligible cost to the overall search. We test the performance of ambiguity $\chi^2$ on simulated data using spinless TaylorF2 waveforms. We show that the ambiguity $\chi^2$ essentially gives a clean separation between glitches and signals. Finally, we investigate the effects of mismatch between signal and templates on the $\chi^2$ and also further indicate how the ambiguity $\chi^2$ can be generalized to detector networks for coherent observations., Comment: 21 pages, 5 figure, abstract is shortened to comply with the arXiv's 1920 characters limitation, v2: accepted for publication in PRD

Published
2017
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10. An optimal method for scheduling observations of large sky error regions for finding optical counterparts to transients

Author

Rana, Javed, Singhal, Akshat, Gadre, Bhooshan, Bhalerao, Varun, and Bose, Sukanta

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The discovery and subsequent study of optical counterparts to transient sources is crucial for their complete astrophysical understanding. Various gamma ray burst (GRB) detectors, and more notably the ground--based gravitational wave detectors, typically have large uncertainties in the sky positions of detected sources. Searching these large sky regions spanning hundreds of square degrees is a formidable challenge for most ground--based optical telescopes, which can usually image less than tens of square degrees of the sky in a single night. We present algorithms for optimal scheduling of such follow--up observations in order to maximize the probability of imaging the optical counterpart, based on the all--sky probability distribution of the source position. We incorporate realistic observing constraints like the diurnal cycle, telescope pointing limitations, available observing time, and the rising/setting of the target at the observatory location. We use simulations to demonstrate that our proposed algorithms outperform the default greedy observing schedule used by many observatories. Our algorithms are applicable for follow--up of other transient sources with large positional uncertainties, like Fermi--detected GRBs, and can easily be adapted for scheduling radio or space--based X--ray followup., Comment: Submitted to ApJ. 18 pages, 15 figures

Published
2016
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11. Detectability of eccentric binary black holes with matched filtering and unmodeled pipelines during the third observing run of LIGO-Virgo-KAGRA

Author

Gadre, Bhooshan, Soni, Kanchan, Tiwari, Shubhanshu, Ramos-Buades, Antoni, Haney, Maria, Mitra, Sanjit, Gadre, Bhooshan, Soni, Kanchan, Tiwari, Shubhanshu, Ramos-Buades, Antoni, Haney, Maria, and Mitra, Sanjit

Abstract

Detecting binary black hole (BBH) mergers with quantifiable orbital eccentricity would confirm the existence of a dynamical formation channel for these binaries. The current state-of-the-art gravitational wave searches of LIGO-Virgo-KAGRA strain data focus more on quasicircular mergers due to increased dimensionality and lack of efficient eccentric waveform models. In this work, we compare the sensitivities of two search pipelines, the matched filter-based PyCBC and the unmodeled coherent wave burst (cWB) algorithms toward the spinning eccentric BBH mergers, using a multipolar nonprecessing-spin eccentric signal model, SEOBNRv4EHM. Our findings show that neglecting eccentricity leads to missed opportunities for detecting eccentric BBH mergers, with PyCBC exhibiting a 10%-20% sensitivity loss for eccentricities exceeding 0.2 defined at 10 Hz. In contrast, cWB is resilient, with a 10% sensitivity increase for heavier (M≥30M⊙) eccentric BBH mergers, but is significantly less sensitive than PyCBC for lighter BBH mergers. Our fitting factor study confirmed that neglecting eccentricity biases the estimation of chirp mass, mass ratio, and effective spin parameter, skewing our understanding of astrophysical BBH populations, fundamental physics, and precision cosmology. Our results demonstrate that the current search pipelines are not sufficiently sensitive to eccentric BBH mergers, necessitating the development of a dedicated matched-filter search for these binaries. Whereas, burst searches should be optimized to detect lower chirp mass BBH mergers, as eccentricity does not affect their search sensitivity significantly.

Published
2024

17. Real-time Search for Compact Binary Mergers in Advanced LIGO and Virgo's Third Observing Run Using PyCBC Live

Author

Dal Canton, Tito, Nitz, Alexander H., Gadre, Bhooshan, Cabourn Davies, Gareth S., Villa-Ortega, Verónica, Dent, Thomas, Harry, Ian, Xiao, Liting, Dal Canton, Tito, Nitz, Alexander H., Gadre, Bhooshan, Cabourn Davies, Gareth S., Villa-Ortega, Verónica, Dent, Thomas, Harry, Ian, and Xiao, Liting

Abstract

The third observing run of Advanced LIGO and Advanced Virgo took place between 2019 April and 2020 March and resulted in dozens of gravitational-wave candidates, many of which are now published as confident detections. A crucial requirement of the third observing run was the rapid identification and public reporting of compact binary mergers, which enabled massive follow-up observation campaigns with electromagnetic and neutrino observatories. PyCBC Live is a low-latency search for compact binary mergers based on frequency-domain matched filtering, which was used during the second and third observing runs, together with other low-latency analyses, to generate these rapid alerts from the data acquired by LIGO and Virgo. This paper describes and evaluates the improvements made to PyCBC Live after the second observing run, which defined its operation and performance during the third observing run.

Published
2021

19. Full band all-sky search for periodic gravitational waves in the O1 LIGO data

Author

Abbott, Benjamin P., Abbott, Rich, Abbott, Thomas D., Acernese, Fausto, Ackley, Kendall, Adams, Carl, Adams, Thomas, Addesso, Paolo, Adhikari, Rana X., Adya, Vaishali B., Affeldt, Christoph, Afrough, Mohammad, Agarwal, Bhanu, Agathos, Michalis, Agatsuma, Kazuhiro, Aggarwal, Nancy, Aguiar, Odylio D., Aiello, Lorenzo, Ain, Anirban, Allen, Bruce, Allen, Gabrielle, Allocca, Annalisa, Altin, Paul A., Amato, Alex, Ananyeva, Alena, Anderson, Stuart B., Anderson, Warren G., Angelova, Svetoslava V., Antier, Sarah, Appert, Stephen, Arai, Koji, Araya, Melody C., Areeda, Joseph S., Arnaud, Nicolas, Ascenzi, Stefano, Ashton, Gregory, Ast, M., Aston, Stuart M., Astone, Pia, Atallah, Dany V., Aufmuth, Peter, Aulbert, Carsten, AultONeal, K., Austin, Corey, Avila-Alvarez, A., Babak, Stanislav, Bacon, Philippe, Bader, Maria K.M., Bae, Sangwook, Baker, Paul T., Baldaccini, Francesca, Ballardin, Giulio, Ballmer, Stefan W., Banagiri, Sharan, Barayoga, Juan C., Barclay, Sheena E., Barish, Barry C., Barker, David, Barkett, Kevin, Barone, Fabrizio, Barr, Bryan, Barsotti, Lisa, Barsuglia, Matteo, Barta, Daniel, Bartlett, Jeffrey, Bartos, Imre, Bassiri, Riccardo, Basti, Andrea, Batch, James C., Bawaj, Mateusz, Bayley, Joseph C., Bazzan, Marco, Bécsy, Bence, Beer, Christian, Bejger, Michal, Belahcene, Imene, Bell, Angus S., Berger, Beverly K., Bergmann, Gerald, Bero, John J., Berry, Christopher P.L., Bersanetti, Diego, Bertolini, Alessandro, Betzwieser, Joseph, Bhagwat, Swetha, Bhandare, Rohan, Bilenko, Igor A., Billingsley, Garilynn, Billman, Chris R., Birch, Jeremy, Birney, Ross, Birnholtz, Ofek, Biscans, Sebastien, Biscoveanu, Sylvia, Bisht, Aparna, Bitossi, Massimiliano, Biwer, Christopher, Bizouard, Marieanne A., Blackburn, J.K., Blackman, Jonathan, Blair, Carl D., Blair, David G., Blair, Ryan M., Bloemen, Steven, Bock, Oliver, Bode, Nina, Boer, Michel, Bogaert, Gilles, Bohe, Alejandro, Bondu, Francois, Bonilla, Edgard, Bonnand, Romain, Boom, Boris A., Bork, Rolf, Boschi, Valerio, Bose, Sukanta, Bossie, Ken, Bouffanais, Yann, Bozzi, Antonella, Bradaschia, Carlo, Brady, Patrick R., Branchesi, Marica, Brau, Jim E., Briant, Tristan, Brillet, Alain, Brinkmann, Marc, Brisson, Violette, Brockill, Patrick, Broida, Jacob E., Brooks, Aidan F., Brown, Duncan A., Brown, Daniel D., Brunett, Sharon, Buchanan, Christopher C., Buikema, Aaron, Bulik, Tomasz, Bulten, Henk J., Buonanno, Alessandra, Buskulic, Damir, Buy, Christelle, Byer, Robert L., Cabero, Miriam, Cadonati, Laura, Cagnoli, Giampietro, Cahillane, Craig, Calderón Bustillo, J., Callister, Thomas A., Calloni, Enrico, Camp, Jordan B., Canepa, Maurizio, Canizares, Priscilla, Cannon, Kipp C., Cao, H., Cao, Junwei, Capano, Collin D., Capocasa, Eleonora, Carbognani, Franco, Caride, Santiago, Carney, Matthew F., Casanueva Diaz, J., Casentini, Claudio, Caudill, Sarah, Cavaglià, Marco, Cavalier, Fabien, Cavalieri, Roberto, Cella, Giancarlo, Cepeda, Christian B., Cerdá-Durán, P., Cerretani, Giovanni, Cesarini, Elisabetta, Chamberlin, Sydney J., Chan, Manleong, Chao, Shiuh, Charlton, Philip, Chase, Eve, Chassande-Mottin, E., Chatterjee, Deep, Cheeseboro, Belinda D., Chen, H.Y., Chen, Xu, Chen, Yanbei, Cheng, H.-P., Chia, Hanyu Y., Chincarini, Andrea, Chiummo, Antonino, Chmiel, Theresa, Cho, Heesuk S., Cho, M., Chow, Jong H., Christensen, Nelson, Chu, Qi, Chua, Alvin J.K., Chua, Sheon, Chung, A.K.W., Chung, Shinkee, Ciani, Giacomo, Ciecielag, P., Ciolfi, Riccardo, Cirelli, Carissa E., Cirone, Alessio, Clara, Filiberto, Clark, James A., Clearwater, Patrick, Cleva, Frederic, Cocchieri, Camillo, Coccia, Eugenio, Cohadon, P.-F., Cohen, David, Colla, Alberto, Collette, Christophe G., Cominsky, Lynn R., Constancio, M., Conti, Livia, Cooper, Sam J., Corban, Paul, Corbitt, Thomas R., Cordero-Carrión, I., Corley, Kenneth R., Cornish, Neil, Corsi, Alessandra, Cortese, Stefano, Costa, Cesar A., Coughlin, Eric T., Coughlin, Michael W., Coughlin, Scott B., Coulon, J.-P., Countryman, Stefan T., Couvares, Peter, Covas, Pep B., Cowan, Erika E., Coward, David M., Cowart, Matthew J., Coyne, Dennis C., Coyne, Robert, Creighton, Jolien D.E., Creighton, Teviet D., Cripe, Jonathan, Crowder, Sgwynne G., Cullen, Torrey J., Cumming, Alan, Cunningham, Liam, Cuoco, Elena, Dal Canton, Tito, Dálya, Gergely, Danilishin, Stefan L., D'Antonio, S., Danzmann, Karsten, Dasgupta, Arnab, Da Silva Costa, C.F., Dattilo, Vincenzo, Dave, Ishant, Davier, Michel, Davis, Derek, Daw, Edward J., Day, Brian, De, Soumi, Debra, D., Degallaix, Jerome, De Laurentis, M., Deléglise, Samuel, Del Pozzo, W., Demos, Nicholas, Denker, Timo, Dent, Thomas, De Pietri, R., Dergachev, Vladimir, De Rosa, R., DeRosa, R.T., De Rossi, C., DeSalvo, R., de Varona, O., Devenson, Jan, Dhurandhar, Sanjeev, Díaz, Mario C., Di Fiore, L., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Di Pace, S., Di Palma, I., Di Renzo, F., Doctor, Zoheyr, Dolique, Vincent, Donovan, Fred, Dooley, Katherine L., Doravari, Suresh, Dorosh, O., Dorrington, Iain, Douglas, Rebecca, Dovale Álvarez, M., Downes, Thomas P., Drago, Marco, Dreissigacker, Christoph, Driggers, Jenne C., Du, Zhihui, Ducrot, Marine, Dupej, Peter, Dwyer, Sheila E., Edo, Tega B., Edwards, Matthew C., Effler, Anamaria, Eggenstein, H.-B., Ehrens, Phil, Eichholz, Johannes, Eikenberry, Stephen S., Eisenstein, Robert A., Essick, Reed C., Estevez, Dimitri, Etienne, Zachariah B., Etzel, Todd, Evans, Matthew, Evans, Tom M., Factourovich, Maxim, Fafone, Viviana, Fair, Hannah, Fairhurst, Stephen, Fan, Xilong, Farinon, Stefania, Farr, Benjamin, Farr, Will M., Fauchon-Jones, E.J., Favata, Marc, Fays, Maxime, Fee, Campbell, Fehrmann, Henning, Feicht, Jon, Fejer, Martin M., Fernandez-Galiana, A., Ferrante, Isidoro, Ferreira, Elvis C., Ferrini, Federico, Fidecaro, Francesco, Finstad, Daniel, Fiori, Irene, Fiorucci, Donatella, Fishbach, Maya, Fisher, Ryan P., Fitz-Axen, M., Flaminio, Raffaele, Fletcher, Mark, Fong, Heather, Font, J.A., Forsyth, Perry W.F., Forsyth, Steven S., Fournier, J.-D., Frasca, Sergio, Frasconi, Franco, Frei, Zsolt, Freise, Andreas, Frey, Raymond, Frey, Valentin, Fries, Eric M., Fritschel, Peter, Frolov, Valery V., Fulda, Paul, Fyffe, Michael, Gabbard, Hunter, Gadre, Bhooshan U., Gaebel, Sebastian M., Gair, Jonathan R., Gammaitoni, Luca, Ganija, Miftar R., Gaonkar, Sharad G., Garcia-Quiros, C., Garufi, Fabio, Gateley, B., Gaudio, Sergio, Gaur, Gurudatt, Gayathri, V., Gehrels, Neil, Gemme, Gianluca, Genin, Eric, Gennai, Alberto, George, Daniel, George, Jogy, Gergely, Laszlo, Germain, Vincent, Ghonge, Sudarshan, Ghosh, Abhirup, Ghosh, Archisman, Ghosh, Shaon, Giaime, Joe A., Giardina, K.D., Giazotto, Adalberto, Gill, Kiranjyot, Glover, Lamar, Goetz, Evan, Goetz, Ryan, Gomes, Sandra, Goncharov, Boris, González, Gabriela, Gonzalez Castro, J.M., Gopakumar, A., Gorodetsky, Michael L., Gossan, Sarah E., GOSSELIN, Matthieu, Gouaty, Romain, Grado, Aniello, Graef, Christian, Granata, Massimo, Grant, Alastair, Gras, Slawomir, Gray, Corey, Greco, Giuseppe, Green, 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Abstract

We report on a new all-sky search for periodic gravitational waves in the frequency band 475-2000 Hz and with a frequency time derivative in the range of [-1.0,+0.1]×10-8 Hz/s. Potential signals could be produced by a nearby spinning and slightly nonaxisymmetric isolated neutron star in our Galaxy. This search uses the data from Advanced LIGO's first observational run O1. No gravitational-wave signals were observed, and upper limits were placed on their strengths. For completeness, results from the separately published low-frequency search 20-475 Hz are included as well. Our lowest upper limit on worst-case (linearly polarized) strain amplitude h0 is ∼4×10-25 near 170 Hz, while at the high end of our frequency range, we achieve a worst-case upper limit of 1.3×10-24. For a circularly polarized source (most favorable orientation), the smallest upper limit obtained is ∼1.5×10-25. © 2018 American Physical Society.

Published
2018

20. Detection and characterization of spin-orbit resonances in the advanced gravitational wave detectors era

Author

Afle, Chaitanya, primary, Gupta, Anuradha, additional, Gadre, Bhooshan, additional, Kumar, Prayush, additional, Demos, Nick, additional, Lovelace, Geoffrey, additional, Choi, Han Gil, additional, Lee, Hyung Mok, additional, Mitra, Sanjit, additional, Boyle, Michael, additional, Hemberger, Daniel A., additional, Kidder, Lawrence E., additional, Pfeiffer, Harald P., additional, Scheel, Mark A., additional, and Szilagyi, Bela, additional

Published
2018
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