A new "temperature inversion" estimator to detect CMB patchy screening by large-scale structure
Physical Review D(2024)
摘要
Thomson scattering of cosmic microwave background (CMB) photons imprints
various properties of the baryons around galaxies on the CMB. One such imprint,
called patchy screening, is a direct probe of the gas density profile around
galaxies. It usefully complements the information from the kinematic and
thermal Sunyaev-Zel'dovich effects and does not require individual redshifts.
In this paper, we derive new estimators of patchy screening called the
"temperature inversion" (TI) and "signed" estimators, analogous to the gradient
inversion estimator of CMB lensing. Pedagogically, we clarify the relation
between these estimators and the standard patchy screening quadratic estimator
(QE). The new estimators trade optimality for robustness to biases caused by
the dominant CMB lensing and foreground contaminants, allowing the use of
smaller angular scales. We perform a simulated analysis to realistically
forecast the expected precision of patchy screening measurements from four CMB
experiments, ACT, SPT, Simons Observatory (SO) and CMB-S4, cross-correlated
with three galaxy samples from BOSS, unWISE and the simulated Rubin LSST Data
Challenge 2 catalog. Our results give further confidence in the first detection
of this effect from the ACT×unWISE data in the companion paper and show
patchy screening will be a powerful observable for future surveys like SO,
CMB-S4 and LSST. Implementations of the patchy screening QE and the TI and
signed estimators are publicly available in our LensQuEst and ThumbStack
software packages, available at https://github.com/EmmanuelSchaan/LensQuEst and
https://github.com/EmmanuelSchaan/ThumbStack , respectively.
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