TY - JOUR
T1 - Erratum
T2 - Tidal deformabilities and radii of neutron stars from the observation of GW170817 (Physical Review Letters (2018) 121 (091102) DOI: 10.1103/PhysRevLett.121.091102)
AU - De, Soumi
AU - Finstad, Daniel
AU - Lattimer, James M.
AU - Brown, Duncan A.
AU - Berger, Edo
AU - Biwer, Christopher M.
N1 - Publisher Copyright:
© 2018 American Physical Society.
PY - 2018/12/19
Y1 - 2018/12/19
N2 - In the Letter, we claimed that the GW170817 gravitational-wave data strongly favor models with the common equation of state assumption over those without this assumption. Our statement was based on the values of the Bayes factors that we obtained on comparing the evidences from our parameter estimation analysis of the data using the model with the common equation of state constraint against the model without the constraint. In this Erratum, we retract the statement mentioned above, and correct the Bayes factor values reported in the Letter. Our parameter estimation analysis was performed using the PyCBC Inference software [1] with the parallel-tempered emcee sampler [2-4] that samples the parameter space using an ensemble of Markov chains at different temperatures. The chains at each temperature sample from a posterior modified by the inverse temperature given by (Formula Presented). (Figure Presented). We thank Collin Capano, Reed Essick, Alexander Nitz, Steven Reyes, and Nevin Weinberg for useful discussions.
AB - In the Letter, we claimed that the GW170817 gravitational-wave data strongly favor models with the common equation of state assumption over those without this assumption. Our statement was based on the values of the Bayes factors that we obtained on comparing the evidences from our parameter estimation analysis of the data using the model with the common equation of state constraint against the model without the constraint. In this Erratum, we retract the statement mentioned above, and correct the Bayes factor values reported in the Letter. Our parameter estimation analysis was performed using the PyCBC Inference software [1] with the parallel-tempered emcee sampler [2-4] that samples the parameter space using an ensemble of Markov chains at different temperatures. The chains at each temperature sample from a posterior modified by the inverse temperature given by (Formula Presented). (Figure Presented). We thank Collin Capano, Reed Essick, Alexander Nitz, Steven Reyes, and Nevin Weinberg for useful discussions.
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U2 - 10.1103/PhysRevLett.121.259902
DO - 10.1103/PhysRevLett.121.259902
M3 - Comment/Debate/Erratum
C2 - 30608779
AN - SCOPUS:85059160294
SN - 0031-9007
VL - 121
JO - Physical Review Letters
JF - Physical Review Letters
IS - 25
M1 - 259902
ER -