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Record W4210919997 · doi:10.52843/cassyni.vdvflb

The GRASP atomic structure code - current status, the CompAS collaboration and hopes for the future

2022· preprint· en· W4210919997 on OpenAlexfundno aff
Jon Grumer

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaVetenskapsrådetWenner-Gren Stiftelserna
KeywordsPhysicsRadiative transferPauli exclusion principleAstrophysicsComputational physicsQuantum mechanics

Abstract

fetched live from OpenAlex

The quality and resolution of solar, stellar, and other types of astrophysical spectra have improved to the extent that the accuracy and availability of atomic data is frequently a limiting factor in the interpretation of observations in astronomy. With the new generation of ground-based spectrographs and space missions, such as the recent CRIRES+ upgrade on the Very Large Telescope (VLT) and the James Webb Space Telescope (JWST), new demands are put on complete and accurate atomic data in the relatively unexplored infrared (IR) spectral regime. In particular, data on heavy, complex atomic species such as the various ionization stages of the Lanthanide and Actinide group of elements are needed for the interpretation of more exotic astrophysical events involving neutron-capture elements such as the Kilonova (KN) ejecta following the neutron-star merger observed in 2017. Analyses of such events require not only data of spectroscopic accuracy, e.g. for element identifications, but also complete data for accurate opacities in the radiative-transfer modeling to track e.g. the brightness evolution. Laboratory measurements, e.g. using ion/traps, beam-foil, or laser techniques, have been performed for isolated transitions and atoms, but no systematic laboratory studies exist or are currently in progress. Instead, the bulk of these atomic data must be calculated. To solve these new challenges, multiconfigurational (Dirac-) Hartree-Fock methods, either non-relativistic with Breit-Pauli corrections or fully relativistic, could be considered a promising way forward. The main advantage of these approaches is their general applicability to excited and open-shell systems, including open f- and g-shells, across the whole periodic table, thus allowing for the production of extensive atomic data sets with transition energies and probabilities. Additional physical properties of interest can readily be determined from the obtained wavefunctions. The accuracy of such calculations depends on the complexity of the shell structure and on the underlying adopted model for describing electron correlation. By systematically increasing the basis in large-scale calculations, as well as exploring different models for electron correlation, it is often possible to provide an estimate of the accuracy. In this talk I will describe our current, [open-source](https://github.com/compas ), community effort within the Computational Atomic Physics ([CompAS](https://compas.github.io )) collaboration, to build upon the important and acclaimed work on state-of-the-art multiconfigurational codes by Profs. Charlotte F Fischer and Ian P Grant, with a particular focus on the relativistic variant: the general-purpose relativistic atomic structure package, [GRASP](https://doi.org/10.1016/j.cpc.2018.10.032 ).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.091
Threshold uncertainty score0.303

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0050.008
Open science0.0070.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0910.090

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.278
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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