M. Vallisneri
California Institute of Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by M. Vallisneri.
Classical and Quantum Gravity | 2012
Pau Amaro-Seoane; S. Aoudia; S. Babak; P. Binetruy; Emanuele Berti; A. Bohe; Chiara Caprini; Monica Colpi; Neil J. Cornish; Karsten Danzmann; Jean-Francois Dufaux; Jonathan R. Gair; Oliver Jennrich; Philippe Jetzer; Antoine Klein; Ryan N. Lang; Alberto Lobo; T. B. Littenberg; Sean T. McWilliams; Gijs Nelemans; Antoine Petiteau; Edward K. Porter; Bernard F. Schutz; Alberto Sesana; Robin T. Stebbins; T. J. Sumner; M. Vallisneri; S. Vitale; Marta Volonteri; H. Ward
We review the expected science performance of the New Gravitational-Wave Observatory (NGO, a.k.a. eLISA), a mission under study by the European Space Agency for launch in the early 2020s. eLISA will survey the low-frequency gravitational-wave sky (from 0.1 mHz to 1 Hz), detecting and characterizing a broad variety of systems and events throughout the Universe, including the coalescences of massive black holes brought together by galaxy mergers; the inspirals of stellar-mass black holes and compact stars into central galactic black holes; several millions of ultra-compact binaries, both detached and mass transferring, in the Galaxy; and possibly unforeseen sources such as the relic gravitational-wave radiation from the early Universe. eLISAs high signal-to-noise measurements will provide new insight into the structure and history of the Universe, and they will test general relativity in its strong-field dynamical regime.
Physical Review D | 2008
M. Vallisneri
The Fishermatrix formalism is used routinely in the literature on gravitational-wave detection to characterize the parameter-estimation performance of gravitational-wave measurements, given parametrized models of the waveforms, and assuming detector noise of known colored Gaussian distribution. Unfortunately, the Fisher matrix can be a poor predictor of the amount of information obtained from typical observations, especially for waveforms with several parameters and relatively low expected signal-to-noise ratios (SNR), or for waveforms depending weakly on one or more parameters, when their priors are not taken into proper consideration. In this paper I discuss these pitfalls; show how they occur, even for relatively strong signals, with a commonly used template family for binary-inspiral waveforms; and describe practical recipes to recognize them and cope with them. Specifically, I answer the following questions: (i) What is the significance of (quasi-)singular Fisher matrices, and how must we deal with them? (ii) When is it necessary to take into account prior probability distributions for the source parameters? (iii) When is the signal-to-noise ratio high enough to believe the Fisher-matrix result? In addition, I provide general expressions for the higher-order, beyond-Fisher-matrix terms in the 1/SNR expansions for the expected parameter accuracies.
The Astrophysical Journal | 2016
Zaven Arzoumanian; A. Brazier; S. Burke-Spolaor; S. J. Chamberlin; S. Chatterjee; B. Christy; J. M. Cordes; Neil J. Cornish; K. Crowter; Paul Demorest; X. Deng; T. Dolch; Justin Ellis; R. D. Ferdman; E. Fonseca; N. Garver-Daniels; M. E. Gonzalez; F. A. Jenet; Glenn Jones; M. L. Jones; V. M. Kaspi; M. Koop; M. T. Lam; T. J. W. Lazio; Lina Levin; Andrea N. Lommen; D. R. Lorimer; J. Luo; R. S. Lynch; D. R. Madison
We compute upper limits on the nanohertz-frequency isotropic stochastic gravitational wave background (GWB) using the 9 year data set from the North American Nanohertz Observatory for Gravitational Waves (NANOGrav) collaboration. Well-tested Bayesian techniques are used to set upper limits on the dimensionless strain amplitude (at a frequency of 1 yr^(−1) for a GWB from supermassive black hole binaries of A_(gw) < 1.5 x 10^(-15). We also parameterize the GWB spectrum with a broken power-law model by placing priors on the strain amplitude derived from simulations of Sesana and McWilliams et al. Using Bayesian model selection we find that the data favor a broken power law to a pure power law with odds ratios of 2.2 and 22 to one for the Sesana and McWilliams prior models, respectively. Using the broken power-law analysis we construct posterior distributions on environmental factors that drive the binary to the GW-driven regime including the stellar mass density for stellar-scattering, mass accretion rate for circumbinary disk interaction, and orbital eccentricity for eccentric binaries, marking the first time that the shape of the GWB spectrum has been used to make astrophysical inferences. Returning to a power-law model, we place stringent limits on the energy density of relic GWs, Ω_(gw)(f)h^2 < 4.2 x 10^(-10). Our limit on the cosmic string GWB, Ω_(gw)(f)h^2 < 2.2 x 10^(-10), translates to a conservative limit on the cosmic string tension with Gµ < 3.3 x 10^(-8), a factor of four better than the joint Planck and high-l cosmic microwave background data from other experiments.
Classical and Quantum Gravity | 2004
Jonathan R. Gair; Leor Barack; T. D. Creighton; Curt Cutler; Shane L. Larson; E. Sterl Phinney; M. Vallisneri
One of the most exciting prospects for the LISA gravitational wave observatory is the detection of gravitational radiation from the inspiral of a compact object into a supermassive black hole. The large inspiral parameter space and low amplitude of the signal make detection of these sources computationally challenging. We outline here a first-cut data analysis scheme that assumes realistic computational resources. In the context of this scheme, we estimate the signal-to-noise ratio that a source requires to pass our thresholds and be detected. Combining this with an estimate of the population of sources in the universe, we estimate the number of inspiral events that LISA could detect. The preliminary results are very encouraging—with the baseline design, LISA can see inspirals out to a redshift z = 1 and should detect over a thousand events during the mission lifetime.
The Astrophysical Journal | 2014
Zaven Arzoumanian; A. Brazier; S. Burke-Spolaor; S. J. Chamberlin; S. Chatterjee; J. M. Cordes; Paul Demorest; X. Deng; T. Dolch; J. A. Ellis; R. D. Ferdman; N. Garver-Daniels; F. A. Jenet; Glenn Jones; V. M. Kaspi; M. Koop; M. T. Lam; T. J. W. Lazio; Andrea N. Lommen; D. R. Lorimer; J. Luo; Ryan S. Lynch; D. R. Madison; M. A. McLaughlin; Sean T. McWilliams; David J. Nice; Nipuni Palliyaguru; T. T. Pennucci; Scott M. Ransom; Alberto Sesana
The North American Nanohertz Observatory for Gravitational Waves (NANOGrav) project currently observes 43 pulsars using the Green Bank and Arecibo radio telescopes. In this work we use a subset of 17 pulsars timed for a span of roughly five years (2005--2010). We analyze these data using standard pulsar timing models, with the addition of time-variable dispersion measure and frequency-variable pulse shape terms. Within the timing data, we perform a search for continuous gravitational waves from individual supermassive black hole binaries in circular orbits using robust frequentist and Bayesian techniques. We find that there is no evidence for the presence of a detectable continuous gravitational wave; however, we can use these data to place the most constraining upper limits to date on the strength of such gravitational waves. Using the full 17 pulsar dataset we place a 95% upper limit on the sky-averaged strain amplitude of
Physical Review Letters | 2001
Lee Lindblom; Joel E. Tohline; M. Vallisneri
h_0\lesssim 3.8\times 10^{-14}
Living Reviews in Relativity | 2013
Jonathan R. Gair; M. Vallisneri; S. Larson; John G. Baker
at a frequency of 10 nHz. Furthermore, we place 95% \emph{all sky} lower limits on the luminosity distance to such gravitational wave sources finding that the
Physical Review D | 2004
Daniel A. Shaddock; B. Ware; Robert E. Spero; M. Vallisneri
d_L \gtrsim 425
The Astrophysical Journal | 2012
Samaya Nissanke; M. Vallisneri; Gijs Nelemans; Thomas A. Prince
Mpc for sources at a frequency of 10 nHz and chirp mass
Physical Review Letters | 2000
M. Vallisneri
10^{10}{\rm M}_{\odot}