Cosmology from One Galaxy in a Void?
Understanding galaxy properties may be the key to unlocking some of the most intriguing mysteries of modern cosmology. Recent work relied on machine learning to extract cosmological constraints on Ω _m using only one galaxy.
Bonny Y. Wang, Alice Pisani
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Observational Evidence for Spin Alignment between Galaxy Groups and Their Central Galaxies
We present a systematic observational study of the spin alignment between galaxy groups and their central galaxies using a large spectroscopic sample from the Sloan Digital Sky Survey.
Peng Wang
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No Evidence for Second-scale Periodicity in FRB 20201124A from 2021 April to June FAST Observations
Fast radio bursts (FRBs) are bright and short radio flashes of cosmological origin. Although a great number of FRBs have been detected in the last two decades, their progenitors and the physical processes that create them are unknown.
Dotan Gazith, Barak Zackay
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Quasar variability: an astrostatistical challenge
Variable behavior on all time scales seems to be ubiquitous phenomenon in almost all classes of active galactic nuclei. This work deals with two topics. One being detection of microvariability (intra-night variability) in the sources which are obscured and were believed to be non variable - type 2 quasars.
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Comment on "Bayesian astrostatistics: a backward look to the future" by Tom Loredo, arXiv:1208.3036
This short note points out two of the incongruences that I find in the Loredo (2012) comments on Andreon (2012), i.e. on my chapter written for the book "Astrostatistical Challenges for the New Astronomy". First, I find illogic the Loredo decision of putting my chapter among those presenting simple models, because one of the models illustrated in my ...
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A Bias-corrected Luminosity Function for Red Supergiant Supernova Progenitor Stars
The apparent tension between the luminosity functions of red supergiant (RSG) stars and of RSG progenitors of Type II supernovae (SNe) is often referred to as the RSG problem and it motivated some to suggest that many RSGs end their life without an SN ...
Nora L. Strotjohann +2 more
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Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data. [PDF]
Sugolov A +4 more
europepmc +1 more source
Introduction to the Special Section on Astrostatistics
Genovese, Chris +2 more
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Bayesian Core: A Practical Approach to Bayesian Computational Statistics [PDF]
Joseph Hilbe
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