Observations of R-Process Stars in the Milky Way and Dwarf Galaxies

Frebel, Anna; Ji, Alexander P.

doi:10.1007/978-981-19-6345-2_92

Handbook of Nuclear Physics 2023

DOI: 10.1007/978-981-19-6345-2_92

|View full text |Cite

Observations of R-Process Stars in the Milky Way and Dwarf Galaxies

Anna Frebel,

Alexander P. Ji

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 289 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

New radiative and collisional atomic data for Sr ii and Y ii with application to Kilonova modelling

Mulholland,

McElroy,

McNeill

et al. 2024

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

The spectra of singly ionised Strontium and Yttrium (Sr ii and Y ii) have been proposed as identifications of certain spectral features in the AT2017gfo spectrum. With the growing demand for NLTE simulations of Kilonovae, there is a increasing need for atomic data for these and other r-process elements. Our goal is to expand upon the current set of atomic data for r-process elements, by presenting transition probabilities and Maxwellian-averaged effective collision strengths for Sr ii and Y ii. The Breit-Pauli and DARC R-matrix codes are employed to calculate the appropriate collision strengths, which are thermally averaged according to a Maxwellian distribution to calculate excitation and de-excitation rates. The tardis and ColRadPy packages are subsequently used to perform LTE and NLTE modelling respectively. A complete set of transition probabilities and effective collision strengths involving levels for Sr ii and Y ii have been calculated for temperature ranges compatible with kilonova plasma conditions. Forbidden transitions were found to disagree heavily with the Axelrod approximation, an approximation which is currently employed by other models within the literature. Theoretically important spectral lines are identified with both LTE and NLTE modelling codes. LTE simulations in tardis reveal no new significant changes to the full synthetic spectra. NLTE simulations in ColRadPy provide indications of which features are expected to be strong for a range of regimes, and we include luminosity estimates. Synthetic emission spectra over KNe densities and temperatures reveal potentially interesting spectral lines in the NIR.

show abstract

New radiative and collisional atomic data for Sr ii and Y ii with application to Kilonova modelling

Mulholland,

McElroy,

McNeill

et al. 2024

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Observations of R-Process Stars in the Milky Way and Dwarf Galaxies

Cited by 1 publication

References 289 publications

New radiative and collisional atomic data for Sr ii and Y ii with application to Kilonova modelling

New radiative and collisional atomic data for Sr ii and Y ii with application to Kilonova modelling

Contact Info

Product

Resources

About