Electroproduction of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi mathvariant="normal">Λ</mml:mi><mml:mtext>/</mml:mtext><mml:msup><mml:mi mathvariant="normal">Σ</mml:mi><mml:mn>0</mml:mn></mml:msup></mml:math> hyperons at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mi>Q</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo>≃</mml:mo><mml:mn>0.5</mml:mn></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mo>(</mml:mo><mml:mi>GeV</mml:mi><mml:mo>/</mml:mo><mml:mi>c</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mn>2</mml:mn></mml:msup></mml:math> at forward angles
Bibliographic record
Abstract
In 2018, the E12-17-003 experiment was conducted at the Thomas Jefferson National Accelerator Facility (JLab) to explore the possible existence of an $nn\mathrm{\ensuremath{\Lambda}}$ state in the reconstructed missing mass distribution from a tritium gas target [K. N. Suzuki et al., Prog. Theor. Exp. Phys. 2022, 013D01 (2022); B. Pandey et al., Phys. Rev. C 105, L051001 (2022)]. As part of this investigation, data were also collected using a gaseous hydrogen target, not only for a precise absolute mass scale calibration but also for the study of $\mathrm{\ensuremath{\Lambda}}/{\mathrm{\ensuremath{\Sigma}}}^{0}$ electroproduction. This dataset was acquired at ${Q}^{2}\ensuremath{\simeq}0.5$ ${(\mathrm{GeV}/c)}^{2}$, $W=2.14$ GeV, and ${\ensuremath{\theta}}_{\ensuremath{\gamma}\mathrm{K}}^{\mathrm{c}.\mathrm{m}.}\ensuremath{\simeq}{8}^{\ensuremath{\circ}}$. It covers forward angles where photoproduction data are scarce and a low-${Q}^{2}$ region that is of interest for hypernuclear experiments. On the other hand, this kinematic region is at a slightly higher ${Q}^{2}$ than previous hypernuclear experiments, thus providing crucial information for understanding the ${Q}^{2}$ dependence of the differential cross sections for $\mathrm{\ensuremath{\Lambda}}/{\mathrm{\ensuremath{\Sigma}}}^{0}$ hyperon electroproduction. This paper reports on the ${Q}^{2}$ dependence of the differential cross section for the $e+p\ensuremath{\rightarrow}{e}^{\ensuremath{'}}+{K}^{+}+\mathrm{\ensuremath{\Lambda}}/{\mathrm{\ensuremath{\Sigma}}}^{0}$ reaction at $0.2--0.8$ ${(\mathrm{GeV}/c)}^{2}$, and provides comparisons with the currently available theoretical models.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.006 | 0.010 |
| Meta-epidemiology (broad) | 0.003 | 0.012 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.011 | 0.013 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.143 | 0.018 |
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; both teacher heads agree on what is shown here.
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".