TY - JOUR
T1 - Cross Correlation between the Thermal Sunyaev-Zel’dovich Effect and Projected Galaxy Density Field
AU - Ibitoye, Ayodeji
AU - Tramonte, Denis
AU - Ma, Yin Zhe
AU - Dai, Wei Ming
N1 - Publisher Copyright:
© 2022. The Author(s). Published by the American Astronomical Society.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - We present a joint analysis of the power spectra of the Planck Compton y parameter map and the projected galaxy density field using the Wide Field Infrared Survey Explorer (WISE) all-sky survey. We detect the statistical correlation between WISE and Planck data (gy) with a significance of 21.8σ. We also measure the autocorrelation spectrum for the thermal Sunyaev-Zel’dovich (tSZ) (yy) and the galaxy density field maps (gg) with a significance of 150σ and 88σ, respectively. We then construct a halo model and use the measured correlations C ℓ gg , C ℓ yy , and C ℓ g y to constrain the tSZ mass bias B ≡ M 500 / M 500 tSZ . We also fit for the galaxy bias, which is included with explicit redshift and multipole dependencies as b g ( z , ℓ ) = b g 0 ( 1 + z ) α ( ℓ / ℓ 0 ) β , with ℓ 0 = 117. We obtain the constraints to be B = 1.50 ± 0.07(stat) ± 0.34(sys), i.e., 1 − b H = 0.67 ± 0.03(stat) ± 0.16(sys) (68% confidence level) for the hydrostatic mass bias, and b g 0 = 1.28 − 0.04 + 0.03 ( stat ) ± 0.11 ( sys ) , with α = 0.20 − 0.07 + 0.11 ( stat ) ± 0.10 ( sys ) and β = 0.45 ±0.01(stat) ± 0.02(sys) for the galaxy bias. Incoming data sets from future CMB and galaxy surveys (e.g., Rubin Observatory) will allow probing the large-scale gas distribution in more detail.
AB - We present a joint analysis of the power spectra of the Planck Compton y parameter map and the projected galaxy density field using the Wide Field Infrared Survey Explorer (WISE) all-sky survey. We detect the statistical correlation between WISE and Planck data (gy) with a significance of 21.8σ. We also measure the autocorrelation spectrum for the thermal Sunyaev-Zel’dovich (tSZ) (yy) and the galaxy density field maps (gg) with a significance of 150σ and 88σ, respectively. We then construct a halo model and use the measured correlations C ℓ gg , C ℓ yy , and C ℓ g y to constrain the tSZ mass bias B ≡ M 500 / M 500 tSZ . We also fit for the galaxy bias, which is included with explicit redshift and multipole dependencies as b g ( z , ℓ ) = b g 0 ( 1 + z ) α ( ℓ / ℓ 0 ) β , with ℓ 0 = 117. We obtain the constraints to be B = 1.50 ± 0.07(stat) ± 0.34(sys), i.e., 1 − b H = 0.67 ± 0.03(stat) ± 0.16(sys) (68% confidence level) for the hydrostatic mass bias, and b g 0 = 1.28 − 0.04 + 0.03 ( stat ) ± 0.11 ( sys ) , with α = 0.20 − 0.07 + 0.11 ( stat ) ± 0.10 ( sys ) and β = 0.45 ±0.01(stat) ± 0.02(sys) for the galaxy bias. Incoming data sets from future CMB and galaxy surveys (e.g., Rubin Observatory) will allow probing the large-scale gas distribution in more detail.
UR - http://www.scopus.com/inward/record.url?scp=85136010860&partnerID=8YFLogxK
U2 - 10.3847/1538-4357/ac7b8c
DO - 10.3847/1538-4357/ac7b8c
M3 - Article
AN - SCOPUS:85136010860
SN - 0004-637X
VL - 935
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 1
M1 - 18
ER -