The extended Baryon Oscillation Spectroscopic Survey: a cosmological forecast

We present a science forecast for the extended Baryon Oscillation Spectroscopic Survey (eBOSS) survey. Focusing on discrete tracers, we forecast the expected accuracy of the baryonic acoustic oscillation (BAO), the redshift-space distortion (RSD) measurements, the f NL parameter quantifying the prim...

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Veröffentlicht in:Monthly notices of the Royal Astronomical Society 2016-04, Vol.457 (3), p.2377-2390
Hauptverfasser: Zhao, Gong-Bo, Wang, Yuting, Ross, Ashley J., Shandera, Sarah, Percival, Will J., Dawson, Kyle S., Kneib, Jean-Paul, Myers, Adam D., Brownstein, Joel R., Comparat, Johan, Delubac, Timothée, Gao, Pengyuan, Hojjati, Alireza, Koyama, Kazuya, McBride, Cameron K., Meza, Andrés, Newman, Jeffrey A., Palanque-Delabrouille, Nathalie, Pogosian, Levon, Prada, Francisco, Rossi, Graziano, Schneider, Donald P., Seo, Hee-Jong, Tao, Charling, Wang, Dandan, Yèche, Christophe, Zhang, Hanyu, Zhang, Yuecheng, Zhou, Xu, Zhu, Fangzhou, Zou, Hu
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container_issue 3
container_start_page 2377
container_title Monthly notices of the Royal Astronomical Society
container_volume 457
creator Zhao, Gong-Bo
Wang, Yuting
Ross, Ashley J.
Shandera, Sarah
Percival, Will J.
Dawson, Kyle S.
Kneib, Jean-Paul
Myers, Adam D.
Brownstein, Joel R.
Comparat, Johan
Delubac, Timothée
Gao, Pengyuan
Hojjati, Alireza
Koyama, Kazuya
McBride, Cameron K.
Meza, Andrés
Newman, Jeffrey A.
Palanque-Delabrouille, Nathalie
Pogosian, Levon
Prada, Francisco
Rossi, Graziano
Schneider, Donald P.
Seo, Hee-Jong
Tao, Charling
Wang, Dandan
Yèche, Christophe
Zhang, Hanyu
Zhang, Yuecheng
Zhou, Xu
Zhu, Fangzhou
Zou, Hu
description We present a science forecast for the extended Baryon Oscillation Spectroscopic Survey (eBOSS) survey. Focusing on discrete tracers, we forecast the expected accuracy of the baryonic acoustic oscillation (BAO), the redshift-space distortion (RSD) measurements, the f NL parameter quantifying the primordial non-Gaussianity, the dark energy and modified gravity parameters. We also use the line-of-sight clustering in the Lyman α forest to constrain the total neutrino mass. We find that eBOSS luminous red galaxies, emission line galaxies and clustering quasars can achieve a precision of 1, 2.2 and 1.6 per cent, respectively, for spherically averaged BAO distance measurements. Using the same samples, the constraint on fσ8 is expected to be 2.5, 3.3 and 2.8 per cent, respectively. For primordial non-Gaussianity, eBOSS alone can reach an accuracy of σ(f NL) ∼ 10–15. eBOSS can at most improve the dark energy figure of merit by a factor of 3 for the Chevallier–Polarski–Linder parametrization, and can well constrain three eigenmodes for the general equation-of-state parameter. eBOSS can also significantly improve constraints on modified gravity parameters by providing the RSD information, which is highly complementary to constraints obtained from weak lensing measurements. A principal component analysis shows that eBOSS can measure the eigenmodes of the effective Newton's constant to 2 per cent precision; this is a factor of 10 improvement over that achievable without eBOSS. Finally, we derive the eBOSS constraint (combined with Planck, Dark Energy Survey and BOSS) on the total neutrino mass, σ(Σm ν) = 0.03 eV (68 per cent CL), which in principle makes it possible to distinguish between the two scenarios of neutrino mass hierarchies.
doi_str_mv 10.1093/mnras/stw135
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Focusing on discrete tracers, we forecast the expected accuracy of the baryonic acoustic oscillation (BAO), the redshift-space distortion (RSD) measurements, the f NL parameter quantifying the primordial non-Gaussianity, the dark energy and modified gravity parameters. We also use the line-of-sight clustering in the Lyman α forest to constrain the total neutrino mass. We find that eBOSS luminous red galaxies, emission line galaxies and clustering quasars can achieve a precision of 1, 2.2 and 1.6 per cent, respectively, for spherically averaged BAO distance measurements. Using the same samples, the constraint on fσ8 is expected to be 2.5, 3.3 and 2.8 per cent, respectively. For primordial non-Gaussianity, eBOSS alone can reach an accuracy of σ(f NL) ∼ 10–15. eBOSS can at most improve the dark energy figure of merit by a factor of 3 for the Chevallier–Polarski–Linder parametrization, and can well constrain three eigenmodes for the general equation-of-state parameter. eBOSS can also significantly improve constraints on modified gravity parameters by providing the RSD information, which is highly complementary to constraints obtained from weak lensing measurements. A principal component analysis shows that eBOSS can measure the eigenmodes of the effective Newton's constant to 2 per cent precision; this is a factor of 10 improvement over that achievable without eBOSS. Finally, we derive the eBOSS constraint (combined with Planck, Dark Energy Survey and BOSS) on the total neutrino mass, σ(Σm ν) = 0.03 eV (68 per cent CL), which in principle makes it possible to distinguish between the two scenarios of neutrino mass hierarchies.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stw135</identifier><language>eng</language><publisher>London: Oxford University Press</publisher><subject>Accuracy ; Astrophysics ; Clustering ; Constants ; Dark energy ; Galaxies ; Gravitation ; Gravity ; Neutrinos ; Physics ; Quasars ; Sky surveys (astronomy) ; Space telescopes ; Star &amp; galaxy formation</subject><ispartof>Monthly notices of the Royal Astronomical Society, 2016-04, Vol.457 (3), p.2377-2390</ispartof><rights>2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society 2016</rights><rights>Copyright Oxford University Press, UK Apr 11, 2016</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-d9977ca6ee0bc041b291f878ecf753532bbcb746c4e89484babbcf12d66e09ec3</citedby><cites>FETCH-LOGICAL-c499t-d9977ca6ee0bc041b291f878ecf753532bbcb746c4e89484babbcf12d66e09ec3</cites><orcidid>0000-0002-4616-4989</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1598,27901,27902</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/mnras/stw135$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://hal.science/hal-01440115$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Gong-Bo</creatorcontrib><creatorcontrib>Wang, Yuting</creatorcontrib><creatorcontrib>Ross, Ashley J.</creatorcontrib><creatorcontrib>Shandera, Sarah</creatorcontrib><creatorcontrib>Percival, Will J.</creatorcontrib><creatorcontrib>Dawson, Kyle S.</creatorcontrib><creatorcontrib>Kneib, Jean-Paul</creatorcontrib><creatorcontrib>Myers, Adam D.</creatorcontrib><creatorcontrib>Brownstein, Joel R.</creatorcontrib><creatorcontrib>Comparat, Johan</creatorcontrib><creatorcontrib>Delubac, Timothée</creatorcontrib><creatorcontrib>Gao, Pengyuan</creatorcontrib><creatorcontrib>Hojjati, Alireza</creatorcontrib><creatorcontrib>Koyama, Kazuya</creatorcontrib><creatorcontrib>McBride, Cameron K.</creatorcontrib><creatorcontrib>Meza, Andrés</creatorcontrib><creatorcontrib>Newman, Jeffrey A.</creatorcontrib><creatorcontrib>Palanque-Delabrouille, Nathalie</creatorcontrib><creatorcontrib>Pogosian, Levon</creatorcontrib><creatorcontrib>Prada, Francisco</creatorcontrib><creatorcontrib>Rossi, Graziano</creatorcontrib><creatorcontrib>Schneider, Donald P.</creatorcontrib><creatorcontrib>Seo, Hee-Jong</creatorcontrib><creatorcontrib>Tao, Charling</creatorcontrib><creatorcontrib>Wang, Dandan</creatorcontrib><creatorcontrib>Yèche, Christophe</creatorcontrib><creatorcontrib>Zhang, Hanyu</creatorcontrib><creatorcontrib>Zhang, Yuecheng</creatorcontrib><creatorcontrib>Zhou, Xu</creatorcontrib><creatorcontrib>Zhu, Fangzhou</creatorcontrib><creatorcontrib>Zou, Hu</creatorcontrib><title>The extended Baryon Oscillation Spectroscopic Survey: a cosmological forecast</title><title>Monthly notices of the Royal Astronomical Society</title><description>We present a science forecast for the extended Baryon Oscillation Spectroscopic Survey (eBOSS) survey. 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For primordial non-Gaussianity, eBOSS alone can reach an accuracy of σ(f NL) ∼ 10–15. eBOSS can at most improve the dark energy figure of merit by a factor of 3 for the Chevallier–Polarski–Linder parametrization, and can well constrain three eigenmodes for the general equation-of-state parameter. eBOSS can also significantly improve constraints on modified gravity parameters by providing the RSD information, which is highly complementary to constraints obtained from weak lensing measurements. A principal component analysis shows that eBOSS can measure the eigenmodes of the effective Newton's constant to 2 per cent precision; this is a factor of 10 improvement over that achievable without eBOSS. Finally, we derive the eBOSS constraint (combined with Planck, Dark Energy Survey and BOSS) on the total neutrino mass, σ(Σm ν) = 0.03 eV (68 per cent CL), which in principle makes it possible to distinguish between the two scenarios of neutrino mass hierarchies.</abstract><cop>London</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/stw135</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-4616-4989</orcidid><oa>free_for_read</oa></addata></record>
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subjects Accuracy
Astrophysics
Clustering
Constants
Dark energy
Galaxies
Gravitation
Gravity
Neutrinos
Physics
Quasars
Sky surveys (astronomy)
Space telescopes
Star & galaxy formation
title The extended Baryon Oscillation Spectroscopic Survey: a cosmological forecast
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