Disc–star alignment I: pre-main-sequence stellar parameters and the statistical alignment between discs and stellar rotation

ABSTRACT Astronomers generally assume planet-forming discs are aligned with the rotation of their host star. However, recent observations have shown evidence of warping in protoplanetary discs. One can measure the statistical alignment between the inclination angles of the disc and stellar spin using the projected rotational velocity, radius, and rotation period of the star and interferometric measurements of the protoplanetary disc. Such work is challenging due to the difficulty in measuring the properties of young stars and biases in methods to combine them for population studies. Here, we provide an overview of the required observables, realistic uncertainties, and complications when using them to constrain the orientation of the system. We show in several tests that we are able to constrain the uncertainties on the necessary stellar parameters to better than 5 per cent in most cases. We show that by using a hierarchical Bayesian model, we can account for many of the systematic effects (e.g. biases in measured stellar and disc orientations) by fitting for the alignments of each system simultaneously. We demonstrate our hierarchical model on a realistic synthetic sample and verify that we can recover our input alignment distribution to $\lesssim 5^\circ$ with a modest ($\simeq$30 star) sample. As the sample of systems with disc inclinations grows, future studies can improve upon our approach with a 3D treatment of misalignment and better handling of non-Gaussian errors.

Authors

Institutions

Publication Details

Journal
RAS Techniques and Instruments
Published
2025-01-01
DOI
https://doi.org/10.1093/rasti/rzaf009
Citations
2
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disc–star alignment I: pre-main-sequence stellar parameters and the statistical alignment between discs and stellar rotation

Andrew W. Mann, Andrew W. Boyle, Aurora Y. Kesseli, Matthew J. Fields
2 citations
RAS Techniques and Instruments
Stellar, planetary, and galactic studies
2.31
article

Disc–star alignment I: pre-main-sequence stellar parameters and the statistical alignment between discs and stellar rotation

Andrew W. Mann, Andrew W. Boyle, Aurora Y. Kesseli, Matthew J. Fields
article en
2 citations

Abstract

ABSTRACT Astronomers generally assume planet-forming discs are aligned with the rotation of their host star. However, recent observations have shown evidence of warping in protoplanetary discs. One can measure the statistical alignment between the inclination angles of the disc and stellar spin using the projected rotational velocity, radius, and rotation period of the star and interferometric measurements of the protoplanetary disc. Such work is challenging due to the difficulty in measuring the properties of young stars and biases in methods to combine them for population studies. Here, we provide an overview of the required observables, realistic uncertainties, and complications when using them to constrain the orientation of the system. We show in several tests that we are able to constrain the uncertainties on the necessary stellar parameters to better than 5 per cent in most cases. We show that by using a hierarchical Bayesian model, we can account for many of the systematic effects (e.g. biases in measured stellar and disc orientations) by fitting for the alignments of each system simultaneously. We demonstrate our hierarchical model on a realistic synthetic sample and verify that we can recover our input alignment distribution to $\lesssim 5^\circ$ with a modest ($\simeq$30 star) sample. As the sample of systems with disc inclinations grows, future studies can improve upon our approach with a 3D treatment of misalignment and better handling of non-Gaussian errors.

RAS Techniques and InstrumentsVol. 4
University of North Carolina at Chapel Hill (US), California Institute of Technology (US), Infrared Processing and Analysis Center (US)
Openalex Percentile: Top 12%
Stellar, planetary, and galactic studies
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.