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Exomol line lists – xliv. Infrared and ultraviolet line list for silicon monoxide (28si16o)
(Oxford University Press, 2022)
A new silicon monoxide (
28Si16O) line list covering infrared, visible, and ultraviolet regions called SiOUVenIR is presented.
This line list extends the infrared EBJT ExoMol line list by including vibronic transitions ...
A structure function analysis of vst-cosmos agn
(EDP Sciences, 2022)
We present our sixth work in a series dedicated to variability studies of active galactic nuclei (AGN), based on the survey of the COSMOS field by the VLT Survey Telescope (VST). Its 54 r-band visits over 3.3 yr and ...
Development of a 127Xe calibration source for nEXO
(IOP Publishing, 2022)
We study a possible calibration technique for the nEXO experiment using a 127Xe electron capture source. nEXO is a next-generation search for neutrinoless double beta decay (0νββ) that will use a 5-tonne, monolithic liquid ...
Antenna beam characterization for the global 21-cm experiment LEDA and its impact on signal model parameter reconstruction
(Oxford University Press, 2022)
Cosmic dawn, the onset of star formation in the early universe, can in principle be studied via the 21-cm transition of neutral hydrogen, for which a sky-averaged absorption signal, redshifted to MHz frequencies, is predicted ...
Constraining the neutrino mass using a multitracer combination of two galaxy surveys and cosmic microwave background lensing
(Oxford University Press, 2022)
Measuring the total neutrino mass is one of the most exciting opportunities available with next-generation cosmological data
sets. We study the possibility of detecting the total neutrino mass using large-scale clustering ...
Gaussian process regression for foreground removal in hi intensity mapping experiments
(Oxford University Press, 2022)
We apply for the first time Gaussian Process Regression (GPR) as a foreground removal technique in the context of single-dish, low redshift H I intensity mapping, and present an open-source PYTHON toolkit for doing so. We ...
Probabilistic learning for pulsar classification
(IOP Publishing, 2022)
In this work, we explore the possibility of using probabilistic learning to identify
pulsar candidates. We make use of Deep Gaussian Process (DGP) and Deep Kernel Learning
(DKL). Trained on a balanced training set in ...
On the primordial origin of the smoothing excess in the Planck temperature power spectrum in light of LSS data
(IOP Publishing, 2022)
The Planck DR3 measurements of the temperature and polarization anisotropies power spectra of the cosmic microwave background (CMB) show an excess of smoothing of the acoustic peaks with respect to ΛCDM, often quantified ...
Gravitational signal propagation in the double pulsar studied with the MeerKAT telescope
(Hans Publishers, 2022)
The double pulsar PSR J0737−3039A/B has offered a wealth of gravitational experiments in the strong-field regime, all of which
general relativity has passed with flying colours. In particular, among current gravity ...
Measurements of one-point statistics in 21-cm intensity maps via foreground avoidance strategy
(Oxford University Press, 2022)
Measurements of the one-point probability distribution function and higher-order moments (variance, skewness, and kurtosis) of
the high-redshift 21-cm fluctuations are among the most directstatistical probes of the ...