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Title: Inference from the small scales of cosmic shear with current and future Dark Energy Survey data

Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by baryonic physics in galaxies and galaxy clusters, such as star formation, supernovae feedback and AGN feedback. While muddying any cosmological information that is contained in small scale cosmic shear measurements, this does mean that cosmic shear has the potential to constrain baryonic physics and galaxy formation. We perform an analysis of the Dark Energy Survey (DES) Science Verification (SV) cosmic shear measurements, now extended to smaller scales, and using the Mead et al. 2015 halo model to account for baryonic feedback. While the SV data has limited statistical power, we demonstrate using a simulated likelihood analysis that the final DES data will have the statistical power to differentiate among baryonic feedback scenarios. We also explore some of the difficulties in interpreting the small scales in cosmic shear measurements, presenting estimates of the size of several other systematic effects that make inference from small scales difficult, including uncertainty in the modelling of intrinsic alignment on nonlinear scales, `lensing bias', and shape measurement selection effects. For the latter two, we make use of novel image simulations. While future cosmicmore » shear datasets have the statistical power to constrain baryonic feedback scenarios, there are several systematic effects that require improved treatments, in order to make robust conclusions about baryonic feedback.« less
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Publication Date:
Report Number(s):
FERMILAB-PUB-16-303-A; arXiv:1608.01838; BNL-113916-2017-JA
Journal ID: ISSN 0035-8711; 1479738
Grant/Contract Number:
AC02-07CH11359; AC02-76SF00515; AST-1138766; AYA2012-39559; ESP2013-48274; FPA2013-47986; 240672; 291329; 306478; SC0012704
Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 465; Journal Issue: 3; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Orgs:
The DES Collaboration
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; gravitational lensing; weak, large-scale structure of Universe
OSTI Identifier:
1362160
Alternate Identifier(s):
OSTI ID: 1331123; OSTI ID: 1353202

MacCrann, N., Aleksić, J., Amara, A., Bridle, S. L., Bruderer, C., Chang, C., Dodelson, S., Eifler, T. F., Huff, E. M., Huterer, D., Kacprzak, T., Refregier, A., Suchyta, E., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Allam, S., Annis, J., Armstrong, R., Benoit-Lévy, A., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jarvis, M., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Plazas, A. A., Romer, A. K., Rykoff, E. S., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Sheldon, E., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thomas, D., and Vikram, V.. Inference from the small scales of cosmic shear with current and future Dark Energy Survey data. United States: N. p., Web. doi:10.1093/mnras/stw2849.
MacCrann, N., Aleksić, J., Amara, A., Bridle, S. L., Bruderer, C., Chang, C., Dodelson, S., Eifler, T. F., Huff, E. M., Huterer, D., Kacprzak, T., Refregier, A., Suchyta, E., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Allam, S., Annis, J., Armstrong, R., Benoit-Lévy, A., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jarvis, M., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Plazas, A. A., Romer, A. K., Rykoff, E. S., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Sheldon, E., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thomas, D., & Vikram, V.. Inference from the small scales of cosmic shear with current and future Dark Energy Survey data. United States. doi:10.1093/mnras/stw2849.
MacCrann, N., Aleksić, J., Amara, A., Bridle, S. L., Bruderer, C., Chang, C., Dodelson, S., Eifler, T. F., Huff, E. M., Huterer, D., Kacprzak, T., Refregier, A., Suchyta, E., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Allam, S., Annis, J., Armstrong, R., Benoit-Lévy, A., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jarvis, M., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Plazas, A. A., Romer, A. K., Rykoff, E. S., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Sheldon, E., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thomas, D., and Vikram, V.. 2016. "Inference from the small scales of cosmic shear with current and future Dark Energy Survey data". United States. doi:10.1093/mnras/stw2849. https://www.osti.gov/servlets/purl/1362160.
@article{osti_1362160,
title = {Inference from the small scales of cosmic shear with current and future Dark Energy Survey data},
author = {MacCrann, N. and Aleksić, J. and Amara, A. and Bridle, S. L. and Bruderer, C. and Chang, C. and Dodelson, S. and Eifler, T. F. and Huff, E. M. and Huterer, D. and Kacprzak, T. and Refregier, A. and Suchyta, E. and Wechsler, R. H. and Zuntz, J. and Abbott, T. M. C. and Allam, S. and Annis, J. and Armstrong, R. and Benoit-Lévy, A. and Brooks, D. and Burke, D. L. and Carnero Rosell, A. and Carrasco Kind, M. and Carretero, J. and Castander, F. J. and Crocce, M. and Cunha, C. E. and da Costa, L. N. and Desai, S. and Diehl, H. T. and Dietrich, J. P. and Doel, P. and Evrard, A. E. and Flaugher, B. and Fosalba, P. and Gerdes, D. W. and Goldstein, D. A. and Gruen, D. and Gruendl, R. A. and Gutierrez, G. and Honscheid, K. and James, D. J. and Jarvis, M. and Krause, E. and Kuehn, K. and Kuropatkin, N. and Lima, M. and Marshall, J. L. and Melchior, P. and Menanteau, F. and Miquel, R. and Plazas, A. A. and Romer, A. K. and Rykoff, E. S. and Sanchez, E. and Scarpine, V. and Sevilla-Noarbe, I. and Sheldon, E. and Soares-Santos, M. and Swanson, M. E. C. and Tarle, G. and Thomas, D. and Vikram, V.},
abstractNote = {Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by baryonic physics in galaxies and galaxy clusters, such as star formation, supernovae feedback and AGN feedback. While muddying any cosmological information that is contained in small scale cosmic shear measurements, this does mean that cosmic shear has the potential to constrain baryonic physics and galaxy formation. We perform an analysis of the Dark Energy Survey (DES) Science Verification (SV) cosmic shear measurements, now extended to smaller scales, and using the Mead et al. 2015 halo model to account for baryonic feedback. While the SV data has limited statistical power, we demonstrate using a simulated likelihood analysis that the final DES data will have the statistical power to differentiate among baryonic feedback scenarios. We also explore some of the difficulties in interpreting the small scales in cosmic shear measurements, presenting estimates of the size of several other systematic effects that make inference from small scales difficult, including uncertainty in the modelling of intrinsic alignment on nonlinear scales, `lensing bias', and shape measurement selection effects. For the latter two, we make use of novel image simulations. While future cosmic shear datasets have the statistical power to constrain baryonic feedback scenarios, there are several systematic effects that require improved treatments, in order to make robust conclusions about baryonic feedback.},
doi = {10.1093/mnras/stw2849},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 3,
volume = 465,
place = {United States},
year = {2016},
month = {11}
}