exoALMA. VIII. Probabilistic Moment Maps and Data Products Using Nonparametric Linear Models

exoALMA. VIII. Probabilistic Moment Maps and Data Products Using Nonparametric Linear Models

Extracting robust inferences on physical quantities from disk kinematics measured from Doppler-shifted molecular line emission is challenging due to the data’s size and complexity. In this paper, we develop a flexible linear model of the intensity distribution in each frequency channel, accounting f...

Full description

Saved in:
Bibliographic Details
Main Authors: Thomas Hilder, Andrew R. Casey, Daniel J. Price, Christophe Pinte, Andrés F. Izquierdo, Caitlyn Hardiman, Jaehan Bae, Marcelo Barraza-Alfaro, Myriam Benisty, Gianni Cataldi, Pietro Curone, Ian Czekala, Stefano Facchini, Daniele Fasano, Mario Flock, Misato Fukagawa, Maria Galloway-Sprietsma, Himanshi Garg, Cassandra Hall, Iain Hammond, Jane Huang, John D. Ilee, Kazuhiro Kanagawa, Geoffroy Lesur, Cristiano Longarini, Ryan Loomis, Ryuta Orihara, Giovanni Rosotti, Jochen Stadler, Richard Teague, Hsi-Wei Yen, Gaylor Wafflard, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida, Brianna Zawadzki
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal Letters
Subjects:
Astronomy data modeling
Nonparametric inference
Linear regression
Radio interferometry
Protoplanetary disks
Planet formation
Online Access:https://doi.org/10.3847/2041-8213/adc435
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.3847/2041-8213/adc435

Similar Items