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Showing votes from 2020-10-23 12:30 to 2020-10-27 11:30 | Next meeting is Tuesday Sep 16th, 10:30 am.
Upcoming galaxy surveys such as LSST and Euclid are expected to significantly improve the power of weak lensing as a cosmological probe. In order to maximise the information that can be extracted from these surveys, it is important to explore novel statistics that complement standard weak lensing statistics such as the shear-shear correlation function and peak counts. In this work, we use a recently proposed weak lensing observable -- weak lensing voids -- to make parameter constraint forecasts for an LSST-like survey. We make use of the cosmo-SLICS suite of $w$CDM simulations to measure void statistics (abundance and tangential shear) as a function of cosmological parameters. The simulation data is used to train a Gaussian process regression emulator that we use to generate likelihood contours and provide parameter constraints from mock observations. We find that the void abundance is more constraining than the tangential shear profiles, though the combination of the two gives additional constraining power. We forecast that without tomographic decomposition, these void statistics can constrain the matter fluctuation amplitude, $S_8$ within 0.7\% (68\% confidence interval), while offering 4.3, 4.7 and 6.9\% precision on the matter density parameter, $\Omega_{\rm m}$, the reduced Hubble constant, $h$, and the dark energy equation of state parameter, $w_0$, respectively. We find that these results are tighter than the constraints given by the shear-shear correlation function with the same observational specifications, indicating that weak lensing void statistics can be a promising cosmological probe potentially complementary with other lensing tests.
Context: ALMA observations of Venus at 267 GHz have been presented in the literature that show the apparent presence of phosphine (PH3) in its atmosphere. Phosphine has currently no evident production routes on the planet's surface or in its atmosphere. Aims: The aim of this work is to assess the statistical reliability of the line detection by independent re-analysis of the ALMA data. Methods: The ALMA data were reduced as in the published study, following the provided scripts. First the spectral analysis presented in the study was reproduced and assessed. Subsequently, the spectrum was statistically evaluated, including its dependence on selected ALMA baselines. Results: We find that the 12th-order polynomial fit to the spectral passband utilised in the published study leads to spurious results. Following their recipe, five other >10 sigma lines can be produced in absorption or emission within 60 km/s from the PH3 1-0 transition frequency by suppressing the surrounding noise. Our independent analysis shows a feature near the PH3 frequency at a ~2 sigma level, below the common threshold for statistical significance. Since the spectral data have a non-Gaussian distribution, we consider a feature at such level as statistically unreliable that cannot be linked to a false positive probability. Conclusions: We find that the published 267-GHz ALMA data provide no statistical evidence for phosphine in the atmosphere of Venus.