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Optimising the measurement of relativistic distortions in large-scale structure

It has been shown recently that relativistic distortions generate a dipolar modulation in the two-point correlation function of galaxies. To measure this relativistic dipole it is necessary to cross-correlate different populations of galaxies with for example different luminosities or colours. In th...

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Detalles Bibliográficos
Autores principales: Bonvin, Camille, Hui, Lam, Gaztanaga, Enrique
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1475-7516/2016/08/021
http://cds.cern.ch/record/2113299
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author Bonvin, Camille
Hui, Lam
Gaztanaga, Enrique
author_facet Bonvin, Camille
Hui, Lam
Gaztanaga, Enrique
author_sort Bonvin, Camille
collection CERN
description It has been shown recently that relativistic distortions generate a dipolar modulation in the two-point correlation function of galaxies. To measure this relativistic dipole it is necessary to cross-correlate different populations of galaxies with for example different luminosities or colours. In this paper, we construct an optimal estimator to measure the dipole with multiple populations. We show that this estimator increases the signal-to-noise of the dipole by up to 35 percent. Using 6 populations of galaxies, in a survey with halos and number densities similar to those of the millennium simulation, we forecast a cumulative signal-to-noise of 4.4. For the main galaxy sample of SDSS at low redshift z<0.2 our optimal estimator predicts a cumulative signal-to-noise of 2.4. Finally we forecast a cumulative signal-to-noise of 7.4 in the upcoming DESI survey. These forecasts indicate that with the appropriate choice of estimator the relativistic dipole should be detectable in current and future surveys.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-21132992023-10-04T08:14:17Zdoi:10.1088/1475-7516/2016/08/021http://cds.cern.ch/record/2113299engBonvin, CamilleHui, LamGaztanaga, EnriqueOptimising the measurement of relativistic distortions in large-scale structureAstrophysics and AstronomyIt has been shown recently that relativistic distortions generate a dipolar modulation in the two-point correlation function of galaxies. To measure this relativistic dipole it is necessary to cross-correlate different populations of galaxies with for example different luminosities or colours. In this paper, we construct an optimal estimator to measure the dipole with multiple populations. We show that this estimator increases the signal-to-noise of the dipole by up to 35 percent. Using 6 populations of galaxies, in a survey with halos and number densities similar to those of the millennium simulation, we forecast a cumulative signal-to-noise of 4.4. For the main galaxy sample of SDSS at low redshift z<0.2 our optimal estimator predicts a cumulative signal-to-noise of 2.4. Finally we forecast a cumulative signal-to-noise of 7.4 in the upcoming DESI survey. These forecasts indicate that with the appropriate choice of estimator the relativistic dipole should be detectable in current and future surveys.It has been shown recently that relativistic distortions generate a dipolar modulation in the two-point correlation function of galaxies. To measure this relativistic dipole it is necessary to cross-correlate different populations of galaxies with for example different luminosities or colours. In this paper, we construct an optimal estimator to measure the dipole with multiple populations. We show that this estimator increases the signal-to-noise of the dipole by up to 35 percent. Using 6 populations of galaxies, in a survey with halos and number densities similar to those of the millennium simulation, we forecast a cumulative signal-to-noise of 4.4. For the main galaxy sample of SDSS at low redshift z ≤ 0.2 our optimal estimator predicts a cumulative signal-to-noise of 2.4. Finally we forecast a cumulative signal-to-noise of 7.4 in the upcoming DESI survey. These forecasts indicate that with the appropriate choice of estimator the relativistic dipole should be detectable in current and future surveys.It has been shown recently that relativistic distortions generate a dipolar modulation in the two-point correlation function of galaxies. To measure this relativistic dipole it is necessary to cross-correlate different populations of galaxies with for example different luminosities or colours. In this paper, we construct an optimal estimator to measure the dipole with multiple populations. We show that this estimator increases the signal-to-noise of the dipole by up to 35 percent. Using 6 populations of galaxies, in a survey with halos and number densities similar to those of the millennium simulation, we forecast a cumulative signal-to-noise of 4.4. For the main galaxy sample of SDSS at low redshift z<0.2 our optimal estimator predicts a cumulative signal-to-noise of 2.4. Finally we forecast a cumulative signal-to-noise of 7.4 in the upcoming DESI survey. These forecasts indicate that with the appropriate choice of estimator the relativistic dipole should be detectable in current and future surveys.arXiv:1512.03566CERN-PH-TH-2015-220CERN-PH-TH-2015-220oai:cds.cern.ch:21132992015-12-11
spellingShingle Astrophysics and Astronomy
Bonvin, Camille
Hui, Lam
Gaztanaga, Enrique
Optimising the measurement of relativistic distortions in large-scale structure
title Optimising the measurement of relativistic distortions in large-scale structure
title_full Optimising the measurement of relativistic distortions in large-scale structure
title_fullStr Optimising the measurement of relativistic distortions in large-scale structure
title_full_unstemmed Optimising the measurement of relativistic distortions in large-scale structure
title_short Optimising the measurement of relativistic distortions in large-scale structure
title_sort optimising the measurement of relativistic distortions in large-scale structure
topic Astrophysics and Astronomy
url https://dx.doi.org/10.1088/1475-7516/2016/08/021
http://cds.cern.ch/record/2113299
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AT huilam optimisingthemeasurementofrelativisticdistortionsinlargescalestructure
AT gaztanagaenrique optimisingthemeasurementofrelativisticdistortionsinlargescalestructure