PLANETARY CANDIDATES OBSERVED BY Kepler. VIII. A FULLY AUTOMATED CATALOG WITH MEASURED COMPLETENESS AND RELIABILITY BASED ON DATA RELEASE 25. [PDF]
Thompson SE +61 more
europepmc +1 more source
Straight to the Source: Detecting Aggregate Objects in Astronomical Images with Proper Error Control. [PDF]
Friedenberg DA, Genovese CR.
europepmc +1 more source
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
doaj +1 more source
Exploring the Model Dependence of MCMC-based 21 cm Power Spectrum Parameter Constraints
Detection and analysis of the cosmic 21 cm signal of neutral hydrogen has long been considered the most promising route towards exploration of the Epoch of Reionization (EoR).
A. Berklas, J. C. Pober
doaj +1 more source
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.
openaire +1 more source
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 ...
openaire +2 more sources
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
doaj +1 more source
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
openaire +2 more sources

