Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data
Abstract
Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and redshifts of background galaxies and requires precise control of systematic errors. Monte Carlo control loops (MCCL) is a forward modeling method designed to tackle this problem. It relies on the ultra fast image generator (UFig) to produce simulated images tuned to match the target data statistically, followed by calibrations and tolerance loops. Here, we present the first end-to-end application of this method, on the Dark Energy Survey (DES) Year 1 wide field imaging data. We simultaneously measure the shear power spectrum $$C_ℓ$$ and the redshift distribution $n(z)$ of the background galaxy sample. The method includes maps of the systematic sources, point spread function (PSF), an approximate Bayesian computation (ABC) inference of the simulation model parameters, a shear calibration scheme, and a fast method to estimate the covariance matrix. We find a close statistical agreement between the simulations and the DES Y1 data using an array of diagnostics. In a nontomographic setting, we derive a set of $$C_ℓ$$ and $n(z)$ curves that encode the cosmic shear measurement, as well as the systematic uncertainty. Following a blinding scheme, we measure the combination of $$Ω_m$$, $$σ_8$$, and intrinsic alignment amplitude $$A_{IA}$$, defined as $$S_8D_{IA}=σ_8(Ω_m/0.3)^{0.5}D_{IA}$$, where $$D_{IA}=1-0.11(A_{IA}-1)$$. We find $$S_8D_{IA}=0.8954_{-0.039}^{+0.054}$$, where systematics are at the level of roughly 60% of the statistical errors. We discuss these results in the context of earlier cosmic shear analyses of the DES Y1 data. Our findings indicate that this method and its fast runtime offer good prospects for cosmic shear measurements with future wide-field surveys.
- Authors:
-
;
more »
- Publication Date:
- Research Org.:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP); Swiss National Science Foundation (SNSF), National Science Foundation (NSF); Ministry of Science and Education of Spain; Science and Technology Facilities Council (STFC) (United Kingdom); European Union (EU)
- Contributing Org.:
- The DES Collaboration; DES Collaboration
- OSTI Identifier:
- 1633431
- Alternate Identifier(s):
- OSTI ID: 1661217
- Grant/Contract Number:
- AC02-76SF00515; 200021_169130; AST-1138766; AST-1536171; 465376/2014-2; AYA2015-71825; ESP2015-66861; FPA2015-68048; SEV-2016-0588; SEV-2016-0597; MDM-2015-0509; FP7/2007-2013; 240672; 291329; 306478; AC02-07CH11359; AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review. D.
- Additional Journal Information:
- Journal Volume: 101; Journal Issue: 8; Journal ID: ISSN 2470-0010
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; Cosmological parameters; Large scale structure of the Universe; Astrophysical & cosmological simulations
Citation Formats
Kacprzak, T., Herbel, J., Nicola, A., Sgier, R., Tarsitano, F., Bruderer, C., Amara, A., Refregier, A., Bridle, S. L., Drlica-Wagner, A., Gruen, D., Hartley, W. G., Hoyle, B., Secco, L. F., Zuntz, J., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Jarvis, M., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., and Weller, J. Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data. United States: N. p., 2020.
Web. doi:10.1103/physrevd.101.082003.
Kacprzak, T., Herbel, J., Nicola, A., Sgier, R., Tarsitano, F., Bruderer, C., Amara, A., Refregier, A., Bridle, S. L., Drlica-Wagner, A., Gruen, D., Hartley, W. G., Hoyle, B., Secco, L. F., Zuntz, J., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Jarvis, M., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., & Weller, J. Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data. United States. https://doi.org/10.1103/physrevd.101.082003
Kacprzak, T., Herbel, J., Nicola, A., Sgier, R., Tarsitano, F., Bruderer, C., Amara, A., Refregier, A., Bridle, S. L., Drlica-Wagner, A., Gruen, D., Hartley, W. G., Hoyle, B., Secco, L. F., Zuntz, J., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Jarvis, M., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., and Weller, J. Mon .
"Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data". United States. https://doi.org/10.1103/physrevd.101.082003. https://www.osti.gov/servlets/purl/1633431.
@article{osti_1633431,
title = {Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data},
author = {Kacprzak, T. and Herbel, J. and Nicola, A. and Sgier, R. and Tarsitano, F. and Bruderer, C. and Amara, A. and Refregier, A. and Bridle, S. L. and Drlica-Wagner, A. and Gruen, D. and Hartley, W. G. and Hoyle, B. and Secco, L. F. and Zuntz, J. and Annis, J. and Avila, S. and Bertin, E. and Brooks, D. and Buckley-Geer, E. and Carnero Rosell, A. and Carrasco Kind, M. and Carretero, J. and da Costa, L. N. and De Vicente, J. and Desai, S. and Diehl, H. T. and Doel, P. and García-Bellido, J. and Gaztanaga, E. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Hollowood, D. L. and Honscheid, K. and James, D. J. and Jarvis, M. and Lima, M. and Maia, M. A. G. and Marshall, J. L. and Melchior, P. and Menanteau, F. and Miquel, R. and Paz-Chinchón, F. and Plazas, A. A. and Sanchez, E. and Scarpine, V. and Serrano, S. and Sevilla-Noarbe, I. and Smith, M. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Vikram, V. and Weller, J.},
abstractNote = {Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and redshifts of background galaxies and requires precise control of systematic errors. Monte Carlo control loops (MCCL) is a forward modeling method designed to tackle this problem. It relies on the ultra fast image generator (UFig) to produce simulated images tuned to match the target data statistically, followed by calibrations and tolerance loops. Here, we present the first end-to-end application of this method, on the Dark Energy Survey (DES) Year 1 wide field imaging data. We simultaneously measure the shear power spectrum $C_ℓ$ and the redshift distribution $n(z)$ of the background galaxy sample. The method includes maps of the systematic sources, point spread function (PSF), an approximate Bayesian computation (ABC) inference of the simulation model parameters, a shear calibration scheme, and a fast method to estimate the covariance matrix. We find a close statistical agreement between the simulations and the DES Y1 data using an array of diagnostics. In a nontomographic setting, we derive a set of $C_ℓ$ and $n(z)$ curves that encode the cosmic shear measurement, as well as the systematic uncertainty. Following a blinding scheme, we measure the combination of $Ω_m$, $σ_8$, and intrinsic alignment amplitude $A_{IA}$, defined as $S_8D_{IA}=σ_8(Ω_m/0.3)^{0.5}D_{IA}$, where $D_{IA}=1-0.11(A_{IA}-1)$. We find $S_8D_{IA}=0.8954_{-0.039}^{+0.054}$, where systematics are at the level of roughly 60% of the statistical errors. We discuss these results in the context of earlier cosmic shear analyses of the DES Y1 data. Our findings indicate that this method and its fast runtime offer good prospects for cosmic shear measurements with future wide-field surveys.},
doi = {10.1103/physrevd.101.082003},
journal = {Physical Review. D.},
number = 8,
volume = 101,
place = {United States},
year = {Mon Apr 27 00:00:00 EDT 2020},
month = {Mon Apr 27 00:00:00 EDT 2020}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journal
Cited by: 10 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Photometric redshifts for the Kilo-Degree Survey: Machine-learning analysis with artificial neural networks
journal, August 2018
- Bilicki, M.; Hoekstra, H.; Brown, M. J. I.
- Astronomy & Astrophysics, Vol. 616
SExtractor: Software for source extraction
journal, June 1996
- Bertin, E.; Arnouts, S.
- Astronomy and Astrophysics Supplement Series, Vol. 117, Issue 2
The VIMOS VLT deep survey: First epoch VVDS-deep survey: 11 564 spectra with 17.5
journal, August 2005
- Le Fèvre, O.; Vettolani, G.; Garilli, B.
- Astronomy & Astrophysics, Vol. 439, Issue 3
A way forward for Cosmic Shear: Monte-Carlo Control Loops
journal, April 2014
- Refregier, Alexandre; Amara, Adam
- Physics of the Dark Universe, Vol. 3
Weak gravitational lensing of distant galaxies
journal, March 1992
- Kaiser, Nick
- The Astrophysical Journal, Vol. 388
Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds
journal, June 1998
- Schlegel, David J.; Finkbeiner, Douglas P.; Davis, Marc
- The Astrophysical Journal, Vol. 500, Issue 2
An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models
journal, October 2015
- Mead, A. J.; Peacock, J. A.; Heymans, C.
- Monthly Notices of the Royal Astronomical Society, Vol. 454, Issue 2
Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear
journal, August 2018
- Troxel, M. A.; MacCrann, N.; Zuntz, J.
- Physical Review D, Vol. 98, Issue 4
Gaia Data Release 2 : Summary of the contents and survey properties
journal, August 2018
- Brown, A. G. A.; Vallenari, A.; Prusti, T.
- Astronomy & Astrophysics, Vol. 616
THE $z\lt 1.2$ OPTICAL LUMINOSITY FUNCTION FROM A SAMPLE OF ∼410,000 GALAXIES IN BOÖTES
journal, December 2015
- Beare, Richard; Brown, Michael J. I.; Pimbblet, Kevin
- The Astrophysical Journal, Vol. 815, Issue 2
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
Practical Weak-lensing Shear Measurement with Metacalibration
journal, May 2017
- Sheldon, Erin S.; Huff, Eric M.
- The Astrophysical Journal, Vol. 841, Issue 1
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
Detection of weak gravitational lensing by large-scale structure
journal, October 2000
- Bacon, David J.; Refregier, Alexandre R.; Ellis, Richard S.
- Monthly Notices of the Royal Astronomical Society, Vol. 318, Issue 2
Fast Cosmic Microwave Background Analyses via Correlation Functions
journal, February 2001
- Szapudi, István; Prunet, Simon; Pogosyan, Dmitry
- The Astrophysical Journal, Vol. 548, Issue 2
The dark Energy Camera
journal, October 2015
- Flaugher, B.; Diehl, H. T.; Honscheid, K.
- The Astronomical Journal, Vol. 150, Issue 5
The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out to z ~ 6.7 selected with 17.5 ≤ i AB ≤ 24.75
journal, October 2013
- Le Fèvre, O.; Cassata, P.; Cucciati, O.
- Astronomy & Astrophysics, Vol. 559
Calibration of weak-lensing shear in the Kilo-Degree Survey
journal, January 2017
- Conti, I. Fenech; Herbonnet, R.; Hoekstra, H.
- Monthly Notices of the Royal Astronomical Society
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
Survey geometry and the internal consistency of recent cosmic shear measurements
journal, June 2018
- Troxel, M. A.; Krause, E.; Chang, C.
- Monthly Notices of the Royal Astronomical Society, Vol. 479, Issue 4
CFHTLenS tomographic weak lensing cosmological parameter constraints: Mitigating the impact of intrinsic galaxy alignments
journal, May 2013
- Heymans, Catherine; Grocutt, Emma; Heavens, Alan
- Monthly Notices of the Royal Astronomical Society, Vol. 432, Issue 3
Fast point spread function modeling with deep learning
journal, July 2018
- Herbel, Jörg; Kacprzak, Tomasz; Amara, Adam
- Journal of Cosmology and Astroparticle Physics, Vol. 2018, Issue 07
Baryonic Features in the Matter Transfer Function
journal, April 1998
- Eisenstein, Daniel J.; Hu, Wayne
- The Astrophysical Journal, Vol. 496, Issue 2
Photometric redshift analysis in the Dark Energy Survey Science Verification data
journal, October 2014
- Sánchez, C.; Carrasco Kind, M.; Lin, H.
- Monthly Notices of the Royal Astronomical Society, Vol. 445, Issue 2
On the distribution of points in a cube and the approximate evaluation of integrals
journal, January 1967
- Sobol', I. M.
- USSR Computational Mathematics and Mathematical Physics, Vol. 7, Issue 4
The redshift distribution of cosmological samples: a forward modeling approach
journal, August 2017
- Herbel, Jörg; Kacprzak, Tomasz; Amara, Adam
- Journal of Cosmology and Astroparticle Physics, Vol. 2017, Issue 08
The effective number density of galaxies for weak lensing measurements in the LSST project
journal, July 2013
- Chang, C.; Jarvis, M.; Jain, B.
- Monthly Notices of the Royal Astronomical Society, Vol. 434, Issue 3
A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data
journal, December 2016
- Cavuoti, S.; Tortora, C.; Brescia, M.
- Monthly Notices of the Royal Astronomical Society, Vol. 466, Issue 2
An Ultra Fast Image Generator (UFig) for wide-field astronomy
journal, February 2013
- Bergé, Joel; Gamper, Lukas; Réfrégier, Alexandre
- Astronomy and Computing, Vol. 1
A synthetic view on structure and evolution of the Milky Way
journal, October 2003
- Robin, A. C.; Reylé, C.; Derrière, S.
- Astronomy & Astrophysics, Vol. 409, Issue 2
Gaia broad band photometry
journal, November 2010
- Jordi, C.; Gebran, M.; Carrasco, J. M.
- Astronomy & Astrophysics, Vol. 523
The Dark Energy Survey Image Processing Pipeline
journal, May 2018
- Morganson, E.; Gruendl, R. A.; Menanteau, F.
- Publications of the Astronomical Society of the Pacific, Vol. 130, Issue 989
Astrometric Calibration and Performance of the Dark Energy Camera
journal, May 2017
- Bernstein, G. M.; Armstrong, R.; Plazas, A. A.
- Publications of the Astronomical Society of the Pacific, Vol. 129, Issue 977
Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces
journal, March 2016
- Mead, A. J.; Heymans, C.; Lombriser, L.
- Monthly Notices of the Royal Astronomical Society, Vol. 459, Issue 2
Approximate Bayesian Computation
journal, January 2013
- Sunnåker, Mikael; Busetto, Alberto Giovanni; Numminen, Elina
- PLoS Computational Biology, Vol. 9, Issue 1
A catalogue of structural and morphological measurements for DES Y1
journal, July 2018
- Tarsitano, F.; Hartley, W. G.; Amara, A.
- Monthly Notices of the Royal Astronomical Society, Vol. 481, Issue 2
Fast estimation of polarization power spectra using correlation functions
journal, May 2004
- Chon, Gayoung; Challinor, Anthony; Prunet, Simon
- Monthly Notices of the Royal Astronomical Society, Vol. 350, Issue 3
Integrated cosmological probes: Extended analysis
journal, April 2017
- Nicola, Andrina; Refregier, Alexandre; Amara, Adam
- Physical Review D, Vol. 95, Issue 8
Fast Analysis of Inhomogenous Megapixel Cosmic Microwave Background Maps
journal, November 2001
- Szapudi, István; Prunet, Simon; Colombi, Stephane
- The Astrophysical Journal, Vol. 561, Issue 1
Detection of weak gravitational lensing distortions of distant galaxies by cosmic dark matter at large scales
journal, May 2000
- Wittman, David M.; Tyson, J. Anthony; Kirkman, David
- Nature, Vol. 405, Issue 6783
K -Corrections and Filter Transformations in the Ultraviolet, Optical, and Near-Infrared
journal, January 2007
- Blanton, Michael R.; Roweis, Sam
- The Astronomical Journal, Vol. 133, Issue 2
L-PICOLA: A parallel code for fast dark matter simulation
journal, September 2015
- Howlett, C.; Manera, M.; Percival, W. J.
- Astronomy and Computing, Vol. 12
Weak Lensing and Cosmology
journal, May 1998
- Kaiser, Nick
- The Astrophysical Journal, Vol. 498, Issue 1
Cosmology from cosmic shear with Dark Energy Survey Science Verification data
journal, July 2016
- Abbott, T.; Abdalla, F. B.; Allam, S.
- Physical Review D, Vol. 94, Issue 2
im3shape: a maximum likelihood galaxy shear measurement code for cosmic gravitational lensing
journal, July 2013
- Zuntz, Joe; Kacprzak, Tomasz; Voigt, Lisa
- Monthly Notices of the Royal Astronomical Society, Vol. 434, Issue 2
Stable clustering, the halo model and non-linear cosmological power spectra
journal, June 2003
- Smith, R. E.; Peacock, J. A.; Jenkins, A.
- Monthly Notices of the Royal Astronomical Society, Vol. 341, Issue 4
Calibrated Ultra fast Image Simulations for the dark Energy Survey
journal, January 2016
- Bruderer, Claudio; Chang, Chihway; Refregier, Alexandre
- The Astrophysical Journal, Vol. 817, Issue 1
The Vimos VLT deep survey: Global properties of 20 000 galaxies in the
journal, June 2008
- Garilli, B.; Le Fèvre, O.; Guzzo, L.
- Astronomy & Astrophysics, Vol. 486, Issue 3
NEW CONSTRAINTS ON THE EVOLUTION OF THE STELLAR-TO-DARK MATTER CONNECTION: A COMBINED ANALYSIS OF GALAXY-GALAXY LENSING, CLUSTERING, AND STELLAR MASS FUNCTIONS FROM z = 0.2 to z = 1
journal, December 2011
- Leauthaud, Alexie; Tinker, Jeremy; Bundy, Kevin
- The Astrophysical Journal, Vol. 744, Issue 2
Approximate Bayesian computation for forward modeling in cosmology
journal, August 2015
- Akeret, Joël; Refregier, Alexandre; Amara, Adam
- Journal of Cosmology and Astroparticle Physics, Vol. 2015, Issue 08
Point spread function calibration requirements for dark energy from cosmic shear
journal, March 2008
- Paulin-Henriksson, S.; Amara, A.; Voigt, L.
- Astronomy & Astrophysics, Vol. 484, Issue 1
Bayesian galaxy shape measurement for weak lensing surveys – III. Application to the Canada–France–Hawaii Telescope Lensing Survey
journal, January 2013
- Miller, L.; Heymans, C.; Kitching, T. D.
- Monthly Notices of the Royal Astronomical Society, Vol. 429, Issue 4
Improving PSF modelling for weak gravitational lensing using new methods in model selection
journal, February 2010
- Rowe, Barnaby
- Monthly Notices of the Royal Astronomical Society
Integrated approach to cosmology: Combining CMB, large-scale structure, and weak lensing
journal, October 2016
- Nicola, Andrina; Refregier, Alexandre; Amara, Adam
- Physical Review D, Vol. 94, Issue 8
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing
journal, November 2016
- Hildebrandt, H.; Viola, M.; Heymans, C.
- Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 2
Stellar population synthesis at the resolution of 2003
journal, October 2003
- Bruzual, G.; Charlot, S.
- Monthly Notices of the Royal Astronomical Society, Vol. 344, Issue 4
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
Intrinsic alignment-lensing interference as a contaminant of cosmic shear
journal, September 2004
- Hirata, Christopher M.; Seljak, Uroš
- Physical Review D, Vol. 70, Issue 6
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing
journal, August 2016
- Bonnett, C.; Troxel, M. A.; Hartley, W.
- Physical Review D, Vol. 94, Issue 4
Cosmological constraints from noisy convergence maps through deep learning
journal, December 2018
- Fluri, Janis; Kacprzak, Tomasz; Refregier, Alexandre
- Physical Review D, Vol. 98, Issue 12
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data
journal, January 2020
- Hildebrandt, H.; Köhlinger, F.; van den Busch, J. L.
- Astronomy & Astrophysics, Vol. 633
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
Regulation of blood pressure and hypertension
journal, September 1957
- Heymans, C.
- Experientia, Vol. 13, Issue 9
Exploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques
preprint, January 2015
- Kucherenko, Sergei; Albrecht, Daniel; Saltelli, Andrea
- arXiv
Integrated approach to cosmology: Combining CMB, large-scale structure and weak lensing
text, January 2016
- Nicola, Andrina; Refregier, Alexandre; Amara, Adam
- arXiv