Abstract We investigate the effectiveness of the statistical radio frequency interference (RFI) mitigation technique spectral kurtosis ( ) in the face of simulated realistic RFI signals. estimates the kurtosis of a collection ofMpower values in a single channel and provides a detection metric that is able to discern between human-made RFI and incoherent astronomical signals of interest. We test the ability of to flag signals with various representative modulation types, data rates, duty cycles, and carrier frequencies. We flag with various accumulation lengthsMand implement multiscale , which combines information from adjacent time-frequency bins to mitigate weaknesses in single-scale . We find that signals with significant sidelobe emission from high data rates are harder to flag, as well as signals with a 50% effective duty cycle and weak signal-to-noise ratios. Multiscale with at least one extra channel can detect both the center channel and sideband interference, flagging greater than 90% as long as the bin channel width is wider in frequency than the RFI.
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Mapping the Growth of Supermassive Black Holes as a Function of Galaxy Stellar Mass and Redshift
Abstract The growth of supermassive black holes is strongly linked to their galaxies. It has been shown that the population mean black hole accretion rate ( ) primarily correlates with the galaxy stellar mass (M⋆) and redshift for the general galaxy population. This work aims to provide the best measurements of as a function ofM⋆and redshift over ranges of 109.5<M⋆< 1012M⊙andz< 4. We compile an unprecedentedly large sample with 8000 active galactic nuclei (AGNs) and 1.3 million normal galaxies from nine high-quality survey fields following a wedding cake design. We further develop a semiparametric Bayesian method that can reasonably estimate and the corresponding uncertainties, even for sparsely populated regions in the parameter space. is constrained by X-ray surveys sampling the AGN accretion power and UV-to-infrared multiwavelength surveys sampling the galaxy population. Our results can independently predict the X-ray luminosity function (XLF) from the galaxy stellar mass function (SMF), and the prediction is consistent with the observed XLF. We also try adding external constraints from the observed SMF and XLF. We further measure for star-forming and quiescent galaxies and show that star-forming is generally larger than or at least comparable to the quiescent .
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- Award ID(s):
- 2106990
- PAR ID:
- 10522735
- Publisher / Repository:
- The Astrophysical Journal
- Date Published:
- Journal Name:
- The Astrophysical Journal
- Volume:
- 964
- Issue:
- 2
- ISSN:
- 0004-637X
- Page Range / eLocation ID:
- 183
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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