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Observational Cosmology with Artificial Neural Networks [PDF]

open access: yesUniverse, 2022
In cosmology, the analysis of observational evidence is very important when testing theoretical models of the Universe. Artificial neural networks are powerful and versatile computational tools for data modelling and have recently been considered in the ...
Juan de Dios Rojas Olvera   +2 more
doaj   +4 more sources

Machine learning for observational cosmology [PDF]

open access: yesReports on Progress in Physics, 2023
Abstract An array of large observational programs using ground-based and space-borne telescopes is planned in the next decade. The forthcoming wide-field sky surveys are expected to deliver a sheer volume of data exceeding an exabyte.
, Takahiro Nishimichi, Kana Moriwaki
exaly   +5 more sources

Observational constraints on the fractal cosmology [PDF]

open access: yesEuropean Physical Journal C: Particles and Fields, 2022
In this paper, we explore a fractal model of the universe proposed by Calcagni (J High Energy Phys 03:120, 2010) for a power-counting renormalizable field theory living in a fractal spacetime.
Mahnaz Asghari, Ahmad Sheykhi
doaj   +2 more sources

Observations in quantum cosmology

open access: yesClassical and Quantum Gravity, 2023
Abstract In this review, we focus on whether a canonical quantization of general relativity can produce testable predictions for cosmology. In particular, we examine how this approach can be used to model the evolution of primordial perturbations. This program of quantum geometrodynamics, first advocated by John Wheeler and Bryce DeWitt,
Leonardo Chataignier   +2 more
openaire   +2 more sources

Sample Variance in Cosmological Observations with a Narrow Field of View

open access: yesThe Astrophysical Journal, 2023
Surveys with a narrow field of view can play an important role in probing cosmology, but inferences from these surveys suffer from large sample variance, arising from random fluctuations around the cosmic mean.
Peter Espenshade, Jaiyul Yoo
doaj   +1 more source

Predicting cosmological observables with PyCosmo

open access: yesAstronomy and Computing, 2021
Astronomy and Computing ...
Federica Tarsitano   +9 more
openaire   +3 more sources

The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra

open access: yesThe Astronomical Journal, 2023
A key component of the Dark Energy Spectroscopic Instrument (DESI) survey validation (SV) is a detailed visual inspection (VI) of the optical spectroscopic data to quantify key survey metrics. In this paper we present results from VI of the quasar survey
David M. Alexander   +71 more
doaj   +1 more source

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

open access: yesThe Astronomical Journal, 2023
Millions of quasar spectra will be collected by the Dark Energy Spectroscopic Instrument (DESI), leading to a fourfold increase in the number of known quasars.
Allyson Brodzeller   +46 more
doaj   +1 more source

Space and observers in cosmology [PDF]

open access: yesAstronomy & Astrophysics, 2001
I provide a prescription to define space, at a given moment, for an arbitrary observer in an arbitrary (sufficiently regular) curved space-time. This prescription, based on synchronicity (simultaneity) arguments, defines a foliation of space-time, which corresponds to a family of canonically associated observers.
openaire   +2 more sources

The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission-line Galaxies

open access: yesThe Astrophysical Journal, 2023
The Dark Energy Spectroscopic Instrument (DESI) Survey has obtained a set of spectroscopic measurements of galaxies to validate the final survey design and target selections.
Ting-Wen Lan   +81 more
doaj   +1 more source

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