Bibliographic record
Abstract
Recent observations of galaxy cluster Abell 3827 reveal a spatial offset between the galaxies and their associated dark matter halos [1].It has been suggested that dark matter self-interactions of strength 1.0 cm 2 /g σ/m 1.5 cm 2 /g could be responsible for the observed discrepancies [2].We propose a simple model for the dark sector consisting of a Dirac fermion and a scalar mediator.This dark sector is allowed to communicate with the Standard Model through mixing of the scalar mediator with the Higgs.Examination of the dark matter's thermal freeze-out from p-wave annihilation, in combination with a theoretical upper bound placed on the mediator-fermion coupling strength, indicates that in order to satisfy the observations of Abell 3827, the mediator must be extremely light-between 0.69 MeV and 100 MeV-whereas the dark matter fermion could have a mass from 0.35 GeV to 8200 GeV.Analysis of the Higgs-mediator mixing reveals an allowed range of mediator lifetimes, from 3.2 × 10 -10 s to 10 -2 s.Table 2: Mass, charge, spin and number of colours (N c ) of the fundamental particles of the Standard Model as given in Ref. [3].All fermions have associated antiparticles.Where possible, nonzero masses are reported to four significant figures.The up, down and strange masses are notoriously imprecise; and the charm, bottom and top masses are given as accurately as possible.The neutrino masses are unknown.The masses are reported in natural units.To convert to SI units, see App. A.x
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".