Constraining the optical depth of galaxies and velocity bias with cross-correlation between kinetic Sunyaev-Zeldovich effect and peculiar velocity field
We calculate the cross-correlation function \(\langle (\Delta T/T)(\mathbf{v}\cdot \mathbf{n}/\sigma_{v}) \rangle\) between the kinetic Sunyaev-Zeldovich (kSZ) effect and the reconstructed peculiar velocity field using linear perturbation theory, to constrain the optical depth \(\tau\) and peculiar...
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description | We calculate the cross-correlation function \(\langle (\Delta T/T)(\mathbf{v}\cdot \mathbf{n}/\sigma_{v}) \rangle\) between the kinetic Sunyaev-Zeldovich (kSZ) effect and the reconstructed peculiar velocity field using linear perturbation theory, to constrain the optical depth \(\tau\) and peculiar velocity bias of central galaxies with Planck data. We vary the optical depth \(\tau\) and the velocity bias function \(b_{v}(k)=1+b(k/k_{0})^{n}\), and fit the model to the data, with and without varying the calibration parameter \(y_{0}\) that controls the vertical shift of the correlation function. By constructing a likelihood function and constraining \(\tau\), \(b\) and \(n\) parameters, we find that the quadratic power-law model of velocity bias \(b_{v}(k)=1+b(k/k_{0})^{2}\) provides the best-fit to the data. The best-fit values are \(\tau=(1.18 \pm 0.24) \times 10^{-4}\), \(b=-0.84^{+0.16}_{-0.20}\) and \(y_{0}=(12.39^{+3.65}_{-3.66})\times 10^{-9}\) (\(68\%\) confidence level). The probability of \(b>0\) is only \(3.12 \times 10^{-8}\) for the parameter \(b\), which clearly suggests a detection of scale-dependent velocity bias. The fitting results indicate that the large-scale (\(k \leq 0.1\,h\,{\rm Mpc}^{-1}\)) velocity bias is unity, while on small scales the bias tends to become negative. The value of \(\tau\) is consistent with the stellar mass--halo mass and optical depth relation proposed in the previous literatures, and the negative velocity bias on small scales is consistent with the peak background-split theory. Our method provides a direct tool to study the gaseous and kinematic properties of galaxies. |
doi_str_mv | 10.48550/arxiv.1711.08756 |
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We vary the optical depth \(\tau\) and the velocity bias function \(b_{v}(k)=1+b(k/k_{0})^{n}\), and fit the model to the data, with and without varying the calibration parameter \(y_{0}\) that controls the vertical shift of the correlation function. By constructing a likelihood function and constraining \(\tau\), \(b\) and \(n\) parameters, we find that the quadratic power-law model of velocity bias \(b_{v}(k)=1+b(k/k_{0})^{2}\) provides the best-fit to the data. The best-fit values are \(\tau=(1.18 \pm 0.24) \times 10^{-4}\), \(b=-0.84^{+0.16}_{-0.20}\) and \(y_{0}=(12.39^{+3.65}_{-3.66})\times 10^{-9}\) (\(68\%\) confidence level). The probability of \(b>0\) is only \(3.12 \times 10^{-8}\) for the parameter \(b\), which clearly suggests a detection of scale-dependent velocity bias. The fitting results indicate that the large-scale (\(k \leq 0.1\,h\,{\rm Mpc}^{-1}\)) velocity bias is unity, while on small scales the bias tends to become negative. The value of \(\tau\) is consistent with the stellar mass--halo mass and optical depth relation proposed in the previous literatures, and the negative velocity bias on small scales is consistent with the peak background-split theory. Our method provides a direct tool to study the gaseous and kinematic properties of galaxies.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.1711.08756</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Bias ; Confidence intervals ; Constraining ; Cross correlation ; Galaxies ; Mathematical models ; Parameters ; Perturbation theory ; Physics - Cosmology and Nongalactic Astrophysics ; Statistical analysis ; Stellar mass ; Sunyaev-Zeldovich effect ; Velocity ; Velocity distribution</subject><ispartof>arXiv.org, 2017-12</ispartof><rights>2017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). 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We vary the optical depth \(\tau\) and the velocity bias function \(b_{v}(k)=1+b(k/k_{0})^{n}\), and fit the model to the data, with and without varying the calibration parameter \(y_{0}\) that controls the vertical shift of the correlation function. By constructing a likelihood function and constraining \(\tau\), \(b\) and \(n\) parameters, we find that the quadratic power-law model of velocity bias \(b_{v}(k)=1+b(k/k_{0})^{2}\) provides the best-fit to the data. The best-fit values are \(\tau=(1.18 \pm 0.24) \times 10^{-4}\), \(b=-0.84^{+0.16}_{-0.20}\) and \(y_{0}=(12.39^{+3.65}_{-3.66})\times 10^{-9}\) (\(68\%\) confidence level). The probability of \(b>0\) is only \(3.12 \times 10^{-8}\) for the parameter \(b\), which clearly suggests a detection of scale-dependent velocity bias. The fitting results indicate that the large-scale (\(k \leq 0.1\,h\,{\rm Mpc}^{-1}\)) velocity bias is unity, while on small scales the bias tends to become negative. The value of \(\tau\) is consistent with the stellar mass--halo mass and optical depth relation proposed in the previous literatures, and the negative velocity bias on small scales is consistent with the peak background-split theory. Our method provides a direct tool to study the gaseous and kinematic properties of galaxies.</description><subject>Bias</subject><subject>Confidence intervals</subject><subject>Constraining</subject><subject>Cross correlation</subject><subject>Galaxies</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Perturbation theory</subject><subject>Physics - Cosmology and Nongalactic Astrophysics</subject><subject>Statistical analysis</subject><subject>Stellar mass</subject><subject>Sunyaev-Zeldovich effect</subject><subject>Velocity</subject><subject>Velocity distribution</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNpFkF1LwzAUQIMgOOZ-gE8GfO5M0qZtHmX4BQMf3JMvJU1vtsya1CTttn_iz7XbBC9c7svhcDkI3VAyz0rOyb30ezPMaUHpnJQFzy_QhKUpTcqMsSs0C2FLCGF5wThPJ-hn4WyIXhpr7BrHDWDXRaNkixvo4gY7jdeylXsDAUvb4AFap0w84NrIgHdmRJR3ISTKeQ-tjMZZXEPcAVj8aSyMMvze24OEIfmAtnGDURsMWoOKJ2MHqm-N9P9qbUbuGl1q2QaY_d0pWj09rhYvyfLt-XXxsEwkZyIRSmWZyOuaF5AToUnGC6LzoqTFcQQI1QjGaaNSkqtGQS4ZKKKFICSFscsU3Z61p2xV582X9IfqmK865RuJuzPReffdQ4jV1vXejj9VjBSUleOK9Bc-h3Yc</recordid><startdate>20171213</startdate><enddate>20171213</enddate><creator>Yin-Zhe, Ma</creator><creator>Guo-Dong, Gong</creator><creator>Sui, Ning</creator><creator>He, Ping</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20171213</creationdate><title>Constraining the optical depth of galaxies and velocity bias with cross-correlation between kinetic Sunyaev-Zeldovich effect and peculiar velocity field</title><author>Yin-Zhe, Ma ; Guo-Dong, Gong ; Sui, Ning ; He, Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a529-9cc4496bb57e609f04570f6781777779e9cd9251dc306cdce6a2ec0f99003e233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bias</topic><topic>Confidence intervals</topic><topic>Constraining</topic><topic>Cross correlation</topic><topic>Galaxies</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Perturbation theory</topic><topic>Physics - Cosmology and Nongalactic Astrophysics</topic><topic>Statistical analysis</topic><topic>Stellar mass</topic><topic>Sunyaev-Zeldovich effect</topic><topic>Velocity</topic><topic>Velocity distribution</topic><toplevel>online_resources</toplevel><creatorcontrib>Yin-Zhe, Ma</creatorcontrib><creatorcontrib>Guo-Dong, Gong</creatorcontrib><creatorcontrib>Sui, Ning</creatorcontrib><creatorcontrib>He, Ping</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin-Zhe, Ma</au><au>Guo-Dong, Gong</au><au>Sui, Ning</au><au>He, Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Constraining the optical depth of galaxies and velocity bias with cross-correlation between kinetic Sunyaev-Zeldovich effect and peculiar velocity field</atitle><jtitle>arXiv.org</jtitle><date>2017-12-13</date><risdate>2017</risdate><eissn>2331-8422</eissn><abstract>We calculate the cross-correlation function \(\langle (\Delta T/T)(\mathbf{v}\cdot \mathbf{n}/\sigma_{v}) \rangle\) between the kinetic Sunyaev-Zeldovich (kSZ) effect and the reconstructed peculiar velocity field using linear perturbation theory, to constrain the optical depth \(\tau\) and peculiar velocity bias of central galaxies with Planck data. We vary the optical depth \(\tau\) and the velocity bias function \(b_{v}(k)=1+b(k/k_{0})^{n}\), and fit the model to the data, with and without varying the calibration parameter \(y_{0}\) that controls the vertical shift of the correlation function. By constructing a likelihood function and constraining \(\tau\), \(b\) and \(n\) parameters, we find that the quadratic power-law model of velocity bias \(b_{v}(k)=1+b(k/k_{0})^{2}\) provides the best-fit to the data. The best-fit values are \(\tau=(1.18 \pm 0.24) \times 10^{-4}\), \(b=-0.84^{+0.16}_{-0.20}\) and \(y_{0}=(12.39^{+3.65}_{-3.66})\times 10^{-9}\) (\(68\%\) confidence level). The probability of \(b>0\) is only \(3.12 \times 10^{-8}\) for the parameter \(b\), which clearly suggests a detection of scale-dependent velocity bias. The fitting results indicate that the large-scale (\(k \leq 0.1\,h\,{\rm Mpc}^{-1}\)) velocity bias is unity, while on small scales the bias tends to become negative. The value of \(\tau\) is consistent with the stellar mass--halo mass and optical depth relation proposed in the previous literatures, and the negative velocity bias on small scales is consistent with the peak background-split theory. Our method provides a direct tool to study the gaseous and kinematic properties of galaxies.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1711.08756</doi><oa>free_for_read</oa></addata></record> |
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subjects | Bias Confidence intervals Constraining Cross correlation Galaxies Mathematical models Parameters Perturbation theory Physics - Cosmology and Nongalactic Astrophysics Statistical analysis Stellar mass Sunyaev-Zeldovich effect Velocity Velocity distribution |
title | Constraining the optical depth of galaxies and velocity bias with cross-correlation between kinetic Sunyaev-Zeldovich effect and peculiar velocity field |
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