Original Research

Published on 06 Oct 2022

Ion alfvén velocity fluctuations and implications for the diffusion of streaming cosmic rays

in Astrostatistics

James R. Beattie
Mark R. Krumholz
Christoph Federrath
Matt L. Sampson
Roland M. Crocker

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.900900

2,072 views
15 citations

Editorial

Published on 05 Oct 2022

Editorial: Asteroid modeling: Processing and combining diverse datasets

in Astrostatistics

Dagmara Anna Oszkiewicz
Josef Durech
Antti Penttilä

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.1045609

1,715 views

Review

Published on 21 Sep 2022

Magnetic field properties in star formation: A review of their analysis methods and interpretation

in Astrostatistics

Junhao Liu
Qizhou Zhang
Keping Qiu

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.943556

2,167 views
25 citations

Mini Review

Published on 19 Aug 2022

Three-dimensional magnetic fields of molecular clouds

in Astrostatistics

Mehrnoosh Tahani

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.940027

2,567 views
7 citations

Original Research

Published on 23 Jun 2022

Towards the Identification and Classification of Solar Granulation Structures Using Semantic Segmentation

in Astrostatistics

S. M. Díaz Castillo
A. Asensio Ramos
C. E. Fischer
S. V. Berdyugina

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.896632

3,499 views
2 citations

Original Research

Published on 17 Jun 2022

Asteroid Photometric Phase Functions From Bayesian Lightcurve Inversion

in Astrostatistics

Karri Muinonen
Elizaveta Uvarova
Julia Martikainen
Antti Penttilä
Alberto Cellino
Xiaobin Wang

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.821125

2,320 views
12 citations

Review

Published on 23 May 2022

Diagnosing Turbulent Magnetic Field in Supernova Remnants

in Astrostatistics

Jiro Shimoda

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.882467

2,255 views
1 citation

Original Research

Published on 10 May 2022

Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets

in Astrostatistics

Hannah R. Kerner
Umaa Rebbapragada
Kiri L. Wagstaff
Steven Lu
Bryce Dubayah
Eric Huff
Jake Lee
Vinay Raman
Sakshum Kulshrestha

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.867947

2,723 views
3 citations

Review

Published on 05 May 2022

Measurement of MHD Turbulence Properties by Synchrotron Radiation Techniques

in Astrostatistics

Jian-Fu Zhang
Ru-Yue Wang

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.869370

1,541 views
8 citations

Mini Review

Published on 22 Mar 2022

Modeling Long-Term Photometric Data of Trans-Neptunian Objects and Centaurs

in Astrostatistics

Estela Fernández-Valenzuela

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.796004

2,914 views
2 citations

Original Research

Published on 11 Mar 2022

Taxonomy of Asteroids From the Legacy Survey of Space and Time Using Neural Networks

in Astrostatistics

A. Penttilä
G. Fedorets
K. Muinonen

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.816268

3,338 views
8 citations

Original Research

Published on 04 Mar 2022

Using Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei

in Astrostatistics

Spencer James Gibson
Aditya Narendra
Maria Giovanna Dainotti
Malgorzata Bogdan
Agnieszka Pollo
Artem Poliszczuk
Enrico Rinaldi
Ioannis Liodakis

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.836215

5,861 views
4 citations

Original Research

Published on 22 Feb 2022

Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry

in Astrostatistics

Josef Ďurech
Michael Vávra
Radim Vančo
Nicolas Erasmus

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.809771

4,731 views
6 citations

Original Research

Published on 21 Dec 2021

Predicting Asteroid Types: Importance of Individual and Combined Features

in Astrostatistics

Hanna Klimczak
Wojciech Kotłowski
Dagmara Oszkiewicz
Francesca DeMeo
Agnieszka Kryszczyńska
Emil Wilawer
Benoit Carry

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2021.767885

4,061 views
7 citations

Original Research

Published on 08 Nov 2021

Classification of Variable Stars Light Curves Using Long Short Term Memory Network

in Astrostatistics

Saksham Bassi
Kaushal Sharma
Atharva Gomekar

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2021.718139

5,701 views
7 citations

Review

Published on 02 Jun 2021

Photometric Redshifts With Machine Learning, Lights and Shadows on a Complex Data Science Use Case

in Astrostatistics

Massimo Brescia
Stefano Cavuoti
Oleksandra Razim
Valeria Amaro
Giuseppe Riccio
Giuseppe Longo

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2021.658229

6,038 views
25 citations

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Articles

Ion alfvén velocity fluctuations and implications for the diffusion of streaming cosmic rays

Editorial: Asteroid modeling: Processing and combining diverse datasets

Magnetic field properties in star formation: A review of their analysis methods and interpretation

Three-dimensional magnetic fields of molecular clouds

Towards the Identification and Classification of Solar Granulation Structures Using Semantic Segmentation

Asteroid Photometric Phase Functions From Bayesian Lightcurve Inversion

Diagnosing Turbulent Magnetic Field in Supernova Remnants

Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets

Measurement of MHD Turbulence Properties by Synchrotron Radiation Techniques

Modeling Long-Term Photometric Data of Trans-Neptunian Objects and Centaurs

Taxonomy of Asteroids From the Legacy Survey of Space and Time Using Neural Networks

Using Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei

Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry

Predicting Asteroid Types: Importance of Individual and Combined Features

Classification of Variable Stars Light Curves Using Long Short Term Memory Network

Photometric Redshifts With Machine Learning, Lights and Shadows on a Complex Data Science Use Case