On the bispectra of very massive tracers in the Effective Field Theory of LargeScale Structure
Abstract
The Effective Field Theory of LargeScale Structure (EFTofLSS) provides a consistent perturbative framework for describing the statistical distribution of cosmological largescale structure. In a previous EFTofLSS calculation that involved the oneloop power spectra and treelevel bispectra, it was shown that the kreach of the prediction for biased tracers is comparable for all investigated masses if suitable higherderivative biases, which are less suppressed for more massive tracers, are added. However, it is possible that the nonlinear biases grow faster with tracer mass than the linear bias, implying that loop contributions could be the leading correction to the bispectra. To check this, we include the oneloop contributions in a fit to numerical data in the limit of strongly enhanced higherorder biases. Here, we show that the resulting oneloop power spectra and higherderivative plus leading oneloop bispectra fit the two and threepoint functions respectively up to k≃0.19 h Mpc^{1} and ksime 0.14 h Mpc^{1} at the percent level. We find that the higherorder bias coefficients are not strongly enhanced, and we argue that the gain in perturbative reach due to the leading oneloop contributions to the bispectra is relatively small. Thus, we conclude that higherderivative biases provide the leading correction to the bispectramore »
 Authors:

 Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology and Dept. of Physics
 Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology and Dept. of Physics; Stanford Univ., CA (United States). Stanford Inst. for Theoretical Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States); Dartmouth College, Hanover, NH (United States). Dept. of Physics and Astronomy
 Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology and Dept. of Physics; Stanford Univ., CA (United States). Stanford Inst. for Theoretical Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States)
 Publication Date:
 Research Org.:
 SLAC National Accelerator Lab., Menlo Park, CA (United States)
 Sponsoring Org.:
 USDOE; National Science Foundation (NSF)
 OSTI Identifier:
 1437577
 Grant/Contract Number:
 AC0276SF00515; 1720397
 Resource Type:
 Accepted Manuscript
 Journal Name:
 Journal of Cosmology and Astroparticle Physics
 Additional Journal Information:
 Journal Volume: 2018; Journal Issue: 02; Journal ID: ISSN 14757516
 Publisher:
 Institute of Physics (IOP)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 79 ASTRONOMY AND ASTROPHYSICS
Citation Formats
Nadler, Ethan O., Perko, Ashley, and Senatore, Leonardo. On the bispectra of very massive tracers in the Effective Field Theory of LargeScale Structure. United States: N. p., 2018.
Web. doi:10.1088/14757516/2018/02/058.
Nadler, Ethan O., Perko, Ashley, & Senatore, Leonardo. On the bispectra of very massive tracers in the Effective Field Theory of LargeScale Structure. United States. doi:10.1088/14757516/2018/02/058.
Nadler, Ethan O., Perko, Ashley, and Senatore, Leonardo. Thu .
"On the bispectra of very massive tracers in the Effective Field Theory of LargeScale Structure". United States. doi:10.1088/14757516/2018/02/058. https://www.osti.gov/servlets/purl/1437577.
@article{osti_1437577,
title = {On the bispectra of very massive tracers in the Effective Field Theory of LargeScale Structure},
author = {Nadler, Ethan O. and Perko, Ashley and Senatore, Leonardo},
abstractNote = {The Effective Field Theory of LargeScale Structure (EFTofLSS) provides a consistent perturbative framework for describing the statistical distribution of cosmological largescale structure. In a previous EFTofLSS calculation that involved the oneloop power spectra and treelevel bispectra, it was shown that the kreach of the prediction for biased tracers is comparable for all investigated masses if suitable higherderivative biases, which are less suppressed for more massive tracers, are added. However, it is possible that the nonlinear biases grow faster with tracer mass than the linear bias, implying that loop contributions could be the leading correction to the bispectra. To check this, we include the oneloop contributions in a fit to numerical data in the limit of strongly enhanced higherorder biases. Here, we show that the resulting oneloop power spectra and higherderivative plus leading oneloop bispectra fit the two and threepoint functions respectively up to k≃0.19 h Mpc1 and ksime 0.14 h Mpc1 at the percent level. We find that the higherorder bias coefficients are not strongly enhanced, and we argue that the gain in perturbative reach due to the leading oneloop contributions to the bispectra is relatively small. Thus, we conclude that higherderivative biases provide the leading correction to the bispectra for tracers of a very wide range of masses.},
doi = {10.1088/14757516/2018/02/058},
journal = {Journal of Cosmology and Astroparticle Physics},
number = 02,
volume = 2018,
place = {United States},
year = {2018},
month = {2}
}
Web of Science
Figures / Tables:
Figures / Tables found in this record: