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Record W2028522088 · doi:10.1142/s0218271801000895

BLUESHIFTS IN ABSORPTION LINES OF QUASI-STELLAR OBJECTS?

2001· article· en· W2028522088 on OpenAlexaff
D. Basu

Bibliographic record

VenueInternational Journal of Modern Physics D · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsQSOSPhysicsAstrophysicsBlueshiftRedshiftSpectral lineEmission spectrumAbsorption (acoustics)WavelengthAbsorption spectroscopyAstronomyRed shiftOpticsGalaxyPhotoluminescence

Abstract

fetched live from OpenAlex

Possibility of misidentification of emission lines of QSOs and thereby missing detection of blueshifts have been suggested and demonstrated in literature. It is shown here that absorption lines observed in the spectra of QSOs may also have been misidentified. Plenty search lines are available at higher wavelengths (red/IR regions) for identification with observed absorption lines, although lines from lower wavelengths (UV/blue regions) are always considered for identification. Re-examination of the published spectra of ten QSOs shows that the observed absorption lines can be interpreted as blueshifted, with same or better accuracy and sometimes more convincingly than redshifts. Objects on the sight line are identified with same emission blueshift as the blueshift of the absorption system of the QSO, the emission spectrum of the QSO itself being of course interpreted as blueshifted as well. It is proposed that the absorbers are probably linked with the QSO either physically or tidally/gravitationally as a result of some ejection mechanism. The observed blueshifts of spectral lines in emission and absorption can be explained in a model comprising of multiple expanding universes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.267
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2001
Admission routes1
Has abstractyes

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