output
20132026
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

Showing 2016Show all

8 papers · 1 filter

astro-ph.IM2016★ 69 cited

Validating gravitational-wave detections: The Advanced LIGO hardware injection system

C. Biwer, D. Barker, J. C. Batch +44

Hardware injections are simulated gravitational-wave signals added to the Laser Interferometer Gravitational-wave Observatory (LIGO). The detectors' test masses are physically disp…

gr-qc2016★ 312 cited

Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run

The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +992

A wide variety of astrophysical and cosmological sources are expected to contribute to a stochastic gravitational-wave background. Following the observations of GW150914 and GW1512…

gr-qc2016★ 102 cited

All-sky search for short gravitational-wave bursts in the first Advanced LIGO run

The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +986

We present the results from an all-sky search for short-duration gravitational waves in the data of the first run of the Advanced LIGO detectors between September 2015 and January…

astro-ph.HE2016★ 76 cited

Search for Gravitational Waves Associated with Gamma-Ray Bursts During the First Advanced LIGO Observing Run and Implications for the Origin of GRB 150906B

LIGO Scientific Collaboration, Virgo Collaboration, IPN Collaboration +1002

We present the results of the search for gravitational waves (GWs) associated with -ray bursts detected during the first observing run of the Advanced Laser Interferometer Gravi…

gr-qc2016★ 138 cited

Effects of waveform model systematics on the interpretation of GW150914

The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +999

Parameter estimates of GW150914 were obtained using Bayesian inference, based on three semi-analytic waveform models for binary black hole coalescences. These waveform models diffe…

cs.LG2016

SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks

Armen Aghajanyan

Deep neural networks are learning models with a very high capacity and therefore prone to over-fitting. Many regularization techniques such as Dropout, DropConnect, and weight deca…

cs.AR2016★ 3 cited

GRVI Phalanx: A Massively Parallel RISC-V FPGA Accelerator Accelerator

Jan Gray

GRVI is an FPGA-efficient RISC-V RV32I soft processor. Phalanx is a parallel processor and accelerator array framework. Groups of processors and accelerators form shared memory clu…

physics.ed-ph2016★ 25 cited

Alternative model for the administration and analysis of research-based assessments

Bethany R. Wilcox, Benjamin M. Zwickl, Robert D. Hobbs +3

Research-based assessments represent a valuable tool for both instructors and researchers interested in improving undergraduate physics education. However, the historical model for…