Optimizing galaxy samples for clustering measurements in photometric surveys
Abstract
When analysing galaxy clustering in multiband imaging surveys, there is a trade-off between selecting the largest galaxy samples (to minimize the shot noise) and selecting samples with the best photometric redshift (photo-$$z$$) precision, which generally includes only a small subset of galaxies. In this paper, we systematically explore this trade-off. Our analysis is targeted towards the third-year data of the Dark Energy Survey (DES), but our methods hold generally for other data sets. Using a simple Gaussian model for the redshift uncertainties, we carry out a Fisher matrix forecast for cosmological constraints from angular clustering in the redshift range $$z$$ = 0.2–0.95. We quantify the cosmological constraints using a figure of merit (FoM) that measures the combined constraints on $Ωm$ and $$σ_8$$ in the context of Λ cold dark matter ($$Λ$$CDM) cosmology. We find that the trade-off between sample size and photo-z precision is sensitive to (1) whether cross-correlations between redshift bins are included or not, and (2) the ratio of the redshift bin width $δz$ to the photo-$$z$$ precision $$σ_z$$. When cross-correlations are included and the redshift bin width is allowed to vary, the highest FoM is achieved when $δz$ ~ $$σ_z$$. We find that for the typical case of 5-10 redshift bins, optimal results are reached when we use larger, less precise photo-z samples, provided that we include cross-correlations. For samples with higher $$σ_z$$, the overlap between redshift bins is larger, leading to higher cross-correlation amplitudes. This leads to the self-calibration of the photo-z parameters and therefore tighter cosmological constraints. These results can be used to help guide galaxy sample selection for clustering analysis in ongoing and future photometric surveys.
- Authors:
-
- Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics
- Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics; Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States). Accelerator Physics Center
- Publication Date:
- Research Org.:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1569241
- Report Number(s):
- arXiv:1908.07150; FERMILAB-PUB-19-486-A
Journal ID: ISSN 0035-8711; oai:inspirehep.net:1750379; TRN: US2001376
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Volume: 491; Journal Issue: 3; Journal ID: ISSN 0035-8711
- Publisher:
- Royal Astronomical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; methods: data analysis; cosmology: observations; large-scale structure of Universe
Citation Formats
Tanoglidis, Dimitrios, Chang, Chihway, and Frieman, Joshua. Optimizing galaxy samples for clustering measurements in photometric surveys. United States: N. p., 2019.
Web. doi:10.1093/mnras/stz3281.
Tanoglidis, Dimitrios, Chang, Chihway, & Frieman, Joshua. Optimizing galaxy samples for clustering measurements in photometric surveys. United States. https://doi.org/10.1093/mnras/stz3281
Tanoglidis, Dimitrios, Chang, Chihway, and Frieman, Joshua. Sat .
"Optimizing galaxy samples for clustering measurements in photometric surveys". United States. https://doi.org/10.1093/mnras/stz3281. https://www.osti.gov/servlets/purl/1569241.
@article{osti_1569241,
title = {Optimizing galaxy samples for clustering measurements in photometric surveys},
author = {Tanoglidis, Dimitrios and Chang, Chihway and Frieman, Joshua},
abstractNote = {When analysing galaxy clustering in multiband imaging surveys, there is a trade-off between selecting the largest galaxy samples (to minimize the shot noise) and selecting samples with the best photometric redshift (photo-$z$) precision, which generally includes only a small subset of galaxies. In this paper, we systematically explore this trade-off. Our analysis is targeted towards the third-year data of the Dark Energy Survey (DES), but our methods hold generally for other data sets. Using a simple Gaussian model for the redshift uncertainties, we carry out a Fisher matrix forecast for cosmological constraints from angular clustering in the redshift range $z$ = 0.2–0.95. We quantify the cosmological constraints using a figure of merit (FoM) that measures the combined constraints on $Ωm$ and $σ_8$ in the context of Λ cold dark matter ($Λ$CDM) cosmology. We find that the trade-off between sample size and photo-z precision is sensitive to (1) whether cross-correlations between redshift bins are included or not, and (2) the ratio of the redshift bin width $δz$ to the photo-$z$ precision $σ_z$. When cross-correlations are included and the redshift bin width is allowed to vary, the highest FoM is achieved when $δz$ ~ $σ_z$. We find that for the typical case of 5-10 redshift bins, optimal results are reached when we use larger, less precise photo-z samples, provided that we include cross-correlations. For samples with higher $σ_z$, the overlap between redshift bins is larger, leading to higher cross-correlation amplitudes. This leads to the self-calibration of the photo-z parameters and therefore tighter cosmological constraints. These results can be used to help guide galaxy sample selection for clustering analysis in ongoing and future photometric surveys.},
doi = {10.1093/mnras/stz3281},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 3,
volume = 491,
place = {United States},
year = {Sat Nov 23 00:00:00 EST 2019},
month = {Sat Nov 23 00:00:00 EST 2019}
}
Web of Science
Works referenced in this record:
Cross-correlating 2D and 3D galaxy surveys
journal, June 2017
- Passaglia, Samuel; Manzotti, Alessandro; Dodelson, Scott
- Physical Review D, Vol. 95, Issue 12
A General Study of the Influence of Catastrophic Photometric Redshift Errors on Cosmology with Cosmic Shear Tomography
journal, August 2010
- Hearin, Andrew P.; Zentner, Andrew R.; Ma, Zhaoming
- The Astrophysical Journal, Vol. 720, Issue 2
Galaxy clustering with photometric surveys using PDF redshift information
journal, March 2016
- Asorey, J.; Carrasco Kind, M.; Sevilla-Noarbe, I.
- Monthly Notices of the Royal Astronomical Society, Vol. 459, Issue 2
Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization
journal, February 2018
- Gatti, M.; Vielzeuf, P.; Davis, C.
- Monthly Notices of the Royal Astronomical Society, Vol. 477, Issue 2
Karhunen‐Loeve Eigenvalue Problems in Cosmology: How Should We Tackle Large Data Sets?
journal, May 1997
- Tegmark, Max; Taylor, Andy N.; Heavens, Alan F.
- The Astrophysical Journal, Vol. 480, Issue 1
SExtractor: Software for source extraction
journal, June 1996
- Bertin, E.; Arnouts, S.
- Astronomy and Astrophysics Supplement Series, Vol. 117, Issue 2
Angular Clustering with Photometric Redshifts in the Sloan Digital Sky Survey: Bimodality in the Clustering Properties of Galaxies
journal, September 2003
- Budavari, Tamas; Connolly, Andrew J.; Szalay, Alexander S.
- The Astrophysical Journal, Vol. 595, Issue 1
Three-dimensional spherical analyses of cosmological spectroscopic surveys
journal, September 2014
- Nicola, Andrina; Refregier, Alexandre; Amara, Adam
- Physical Review D, Vol. 90, Issue 6
Recovering 3D clustering information with angular correlations: 3D clustering with angular correlations
journal, November 2012
- Asorey, Jacobo; Crocce, Martin; Gaztañaga, Enrique
- Monthly Notices of the Royal Astronomical Society, Vol. 427, Issue 3
Bayesian Photometric Redshift Estimation
journal, June 2000
- Benitez, Narciso
- The Astrophysical Journal, Vol. 536, Issue 2
Dark Energy and the Accelerating Universe
journal, September 2008
- Frieman, Joshua A.; Turner, Michael S.; Huterer, Dragan
- Annual Review of Astronomy and Astrophysics, Vol. 46, Issue 1
The effect of photometric redshift uncertainties on galaxy clustering and baryonic acoustic oscillations
journal, April 2018
- Chaves-Montero, Jonás; Angulo, Raúl E.; Hernández-Monteagudo, Carlos
- Monthly Notices of the Royal Astronomical Society, Vol. 477, Issue 3
Measuring Baryon Acoustic Oscillations Along the line of Sight with Photometric Redshifts: the pau Survey
journal, January 2009
- Benítez, N.; Gaztañaga, E.; Miquel, R.
- The Astrophysical Journal, Vol. 691, Issue 1
Biasing and hierarchical statistics in large-scale structure
journal, August 1993
- Fry, J. N.; Gaztanaga, Enrique
- The Astrophysical Journal, Vol. 413
Efficient Computation of Cosmic Microwave Background Anisotropies in Closed Friedmann‐Robertson‐Walker Models
journal, August 2000
- Lewis, Antony; Challinor, Anthony; Lasenby, Anthony
- The Astrophysical Journal, Vol. 538, Issue 2
Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data
journal, December 2015
- Crocce, M.; Carretero, J.; Bauer, A. H.
- Monthly Notices of the Royal Astronomical Society, Vol. 455, Issue 4
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
journal, August 2018
- Abbott, T. M. C.; Abdalla, F. B.; Alarcon, A.
- Physical Review D, Vol. 98, Issue 4
The clustering of faint galaxies
journal, October 1991
- Efstathiou, G.; Bernstein, G.; Tyson, J. A.
- The Astrophysical Journal, Vol. 380
The many flavours of photometric redshifts
journal, June 2018
- Salvato, Mara; Ilbert, Olivier; Hoyle, Ben
- Nature Astronomy, Vol. 3, Issue 3
A prescription for galaxy biasing evolution as a nuisance parameter
journal, February 2015
- Clerkin, L.; Kirk, D.; Lahav, O.
- Monthly Notices of the Royal Astronomical Society, Vol. 448, Issue 2
redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
journal, April 2014
- Rykoff, E. S.; Rozo, E.; Busha, M. T.
- The Astrophysical Journal, Vol. 785, Issue 2
Effects of Photometric Redshift Uncertainties on Weak‐Lensing Tomography
journal, January 2006
- Ma, Zhaoming; Hu, Wayne; Huterer, Dragan
- The Astrophysical Journal, Vol. 636, Issue 1
3D galaxy clustering with future wide-field surveys: Advantages of a spherical Fourier-Bessel analysis
journal, May 2015
- Lanusse, F.; Rassat, A.; Starck, J. -L.
- Astronomy & Astrophysics, Vol. 578
The clustering of luminous red galaxies in the Sloan Digital Sky Survey imaging data
journal, June 2007
- Padmanabhan, Nikhil; Schlegel, David J.; Seljak, Uroš
- Monthly Notices of the Royal Astronomical Society, Vol. 378, Issue 3
Revising the Halofit Model for the Nonlinear Matter Power Spectrum
journal, December 2012
- Takahashi, Ryuichi; Sato, Masanori; Nishimichi, Takahiro
- The Astrophysical Journal, Vol. 761, Issue 2
Gravitational lensing of distant field galaxies by rich clusters - I. Faint galaxy redshift distributions
journal, September 1994
- Smail, I.; Ellis, R. S.; Fitchett, M. J.
- Monthly Notices of the Royal Astronomical Society, Vol. 270, Issue 2
The dark Energy Camera
journal, October 2015
- Flaugher, B.; Diehl, H. T.; Honscheid, K.
- The Astronomical Journal, Vol. 150, Issue 5
Joint galaxy-lensing observables and the dark energy
journal, August 2004
- Hu, Wayne; Jain, Bhuvnesh
- Physical Review D, Vol. 70, Issue 4
Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology
journal, April 2018
- Drlica-Wagner, A.; Sevilla-Noarbe, I.; Rykoff, E. S.
- The Astrophysical Journal Supplement Series, Vol. 235, Issue 2
History of dark matter
journal, October 2018
- Bertone, Gianfranco; Hooper, Dan
- Reviews of Modern Physics, Vol. 90, Issue 4
Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
journal, November 2001
- Eisenstein, Daniel J.; Annis, James; Gunn, James E.
- The Astronomical Journal, Vol. 122, Issue 5
Calibrating photometric redshifts of luminous red galaxies
journal, May 2005
- Padmanabhan, N.; Budavari, T.; Schlegel, D. J.
- Monthly Notices of the Royal Astronomical Society, Vol. 359, Issue 1
cosmolike – cosmological likelihood analyses for photometric galaxy surveys
journal, May 2017
- Krause, Elisabeth; Eifler, Tim
- Monthly Notices of the Royal Astronomical Society, Vol. 470, Issue 2
Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
journal, April 2018
- Hoyle, B.; Gruen, D.; Bernstein, G. M.
- Monthly Notices of the Royal Astronomical Society, Vol. 478, Issue 1
Modelling the angular correlation function and its full covariance in photometric galaxy surveys: Angular clustering in photometric surveys
journal, March 2011
- Crocce, Martín; Cabré, Anna; Gaztañaga, Enrique
- Monthly Notices of the Royal Astronomical Society, Vol. 414, Issue 1
Spectroscopic needs for imaging dark energy experiments
journal, March 2015
- Newman, Jeffrey A.; Abate, Alexandra; Abdalla, Filipe B.
- Astroparticle Physics, Vol. 63
Dark Energy Survey year 1 results: Galaxy clustering for combined probes
journal, August 2018
- Elvin-Poole, J.; Crocce, M.; Ross, A. J.
- Physical Review D, Vol. 98, Issue 4
General requirements on matter power spectrum predictions for cosmology with weak lensing tomography
journal, April 2012
- Hearin, Andrew P.; Zentner, Andrew R.; Ma, Zhaoming
- Journal of Cosmology and Astroparticle Physics, Vol. 2012, Issue 04
Looking through the same lens: Shear calibration for LSST, Euclid, and WFIRST with stage 4 CMB lensing
journal, June 2017
- Schaan, Emmanuel; Krause, Elisabeth; Eifler, Tim
- Physical Review D, Vol. 95, Issue 12
Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
journal, September 2018
- Cawthon, R.; Davis, C.; Gatti, M.
- Monthly Notices of the Royal Astronomical Society, Vol. 481, Issue 2
redMaGiC: selecting luminous red galaxies from the DES Science Verification data
journal, May 2016
- Rozo, E.; Rykoff, E. S.; Abate, A.
- Monthly Notices of the Royal Astronomical Society, Vol. 461, Issue 2
Dark Energy Survey year 1 results: galaxy sample for BAO measurement
journal, September 2018
- Crocce, M.; Ross, A. J.; Sevilla-Noarbe, I.
- Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 2
The Analysis of Counts of the Extragalactic Nebulae in Terms of a Fluctuating Density Field.
journal, January 1953
- Limber, D. Nelson
- The Astrophysical Journal, Vol. 117
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
text, January 2018
- Drlica-Wagner, A.; Sevilla-Noarbe, I.; Rykoff, Es
- Apollo - University of Cambridge Repository
Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
text, January 2018
- Cawthon, R.; Davis, C.; Gatti, M.
- Apollo - University of Cambridge Repository
Measuring Baryon Acoustic Oscillations along the line of sight with photometric redshifs: the PAU survey
text, January 2008
- Benitez, N.; Gaztanaga, E.; Miquel, R.
- arXiv
General Requirements on Matter Power Spectrum Predictions for Cosmology with Weak Lensing Tomography
text, January 2011
- Hearin, Andrew P.; Zentner, Andrew R.; Ma, Zhaoming
- arXiv
redMaPPer I: Algorithm and SDSS DR8 Catalog
text, January 2013
- Rykoff, E. S.; Rozo, E.; Busha, M. T.
- arXiv
A Prescription for Galaxy Biasing Evolution as a Nuisance Parameter
text, January 2014
- Clerkin, L.; Kirk, D.; Lahav, O.
- arXiv
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
text, January 2015
- Rozo, E.; Rykoff, E. S.; Abate, A.
- arXiv
Galaxy clustering with photometric surveys using PDF redshift information
text, January 2016
- Asorey, J.; Kind, M. Carrasco; Sevilla-Noarbe, I.
- arXiv
The effect of photometric redshift uncertainties on galaxy clustering and baryonic acoustic oscillations
text, January 2016
- Chaves-Montero, Jonás; Angulo, Raúl E.; Hernández-Monteagudo, Carlos
- arXiv
Cross-correlating 2D and 3D galaxy surveys
text, January 2017
- Passaglia, Samuel; Manzotti, Alessandro; Dodelson, Scott
- arXiv
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
text, January 2017
- Collaboration, Des; Abbott, T. M. C.; Abdalla, F. B.
- arXiv
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
text, January 2017
- Drlica-Wagner, A.; Sevilla-Noarbe, I.; Rykoff, E. S.
- arXiv
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies
text, January 2017
- Hoyle, B.; Gruen, D.; Bernstein, G. M.
- arXiv
Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
text, January 2001
- Eisenstein, D. J.; Annis, J.; Gunn, J. E.
- arXiv
Effect of Photometric Redshift Uncertainties on Weak Lensing Tomography
text, January 2005
- Ma, Zhaoming; Hu, Wayne; Huterer, Dragan
- arXiv
The Clustering of Luminous Red Galaxies in the Sloan Digital Sky Survey Imaging Data
text, January 2006
- Padmanabhan, N.; Schlegel, D. J.; Seljak, U.
- arXiv
Gravitational Lensing of Distant Field Galaxies by Rich Clusters: I. -- Faint Galaxy Redshift Distributions
text, January 1994
- Smail, Ian; Ellis, Richard S.; Fitchett, Michael J.
- arXiv