A survey on neural network interpretability

Y Zhang, P Tiňo, A Leonardis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Along with the great success of deep neural networks, there is also growing concern about
their black-box nature. The interpretability issue affects people's trust on deep learning …

The cosmic baryon and metal cycles

C Péroux, JC Howk - Annual Review of Astronomy and …, 2020 - annualreviews.org
Characterizing the relationship between stars, gas, and metals in galaxies is a critical
component of understanding the cosmic baryon cycle. We compile contemporary censuses …

The Sloan Digital Sky Survey Quasar Catalog: Sixteenth Data Release

BW Lyke, AN Higley, JN McLane… - The Astrophysical …, 2020 - iopscience.iop.org
We present the final Sloan Digital Sky Survey IV (SDSS-IV) quasar catalog from Data
Release 16 of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). This catalog …

Probabilistic random forest: A machine learning algorithm for noisy data sets

I Reis, D Baron, S Shahaf - The Astronomical Journal, 2018 - iopscience.iop.org
Abstract Machine learning (ML) algorithms have become increasingly important in the
analysis of astronomical data. However, because most ML algorithms are not designed to …

The one-dimensional power spectrum from the SDSS DR14 Lyα forests

S Chabanier, N Palanque-Delabrouille… - … of Cosmology and …, 2019 - iopscience.iop.org
We present a measurement of the 1D Lyα forest flux power spectrum, using the complete
Baryon Oscillation Spectroscopic Survey (BOSS) and first extended-BOSS (eBOSS) quasars …

The completed SDSS-IV extended baryon oscillation spectroscopic survey: baryon acoustic oscillations with Lyα forests

HDM Des Bourboux, J Rich, A Font-Ribera… - The Astrophysical …, 2020 - iopscience.iop.org
The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic
Oscillations with Lyα Forests - IOPscience This site uses cookies. By continuing to use this site …

Deep learning from 21-cm tomography of the cosmic dawn and reionization

N Gillet, A Mesinger, B Greig, A Liu… - Monthly Notices of the …, 2019 - academic.oup.com
The 21-cm power spectrum (PS) has been shown to be a powerful discriminant of
reionization and cosmic dawn astrophysical parameters. However, the 21-cm tomographic …

Machine learning in astronomy: A practical overview

D Baron - arXiv preprint arXiv:1904.07248, 2019 - arxiv.org
Astronomy is experiencing a rapid growth in data size and complexity. This change fosters
the development of data-driven science as a useful companion to the common model-driven …

The UVES Spectral Quasar Absorption Database (SQUAD) data release 1: the first 10 million seconds

MT Murphy, GG Kacprzak… - Monthly Notices of …, 2019 - academic.oup.com
We present the first data release (DR1) of the UVES Spectral Quasar Absorption Database
(SQUAD), comprising 467 fully reduced, continuum-fitted high-resolution quasar spectra …

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

AG Adame, J Aguilar, S Ahlen, S Alam… - arXiv preprint arXiv …, 2024 - arxiv.org
We present the measurement of Baryon Acoustic Oscillations (BAO) from the Lyman-$\alpha
$(Ly $\alpha $) forest of high-redshift quasars with the first-year dataset of the Dark Energy …