LyC leaking galaxies: Properties in the mid-infrared range based on the WISE space telescope data
Bibliographic record
Abstract
LyC-ãàëàêòèêè ç âèòîêîì ³îí³çàö³éíîãî âèïðîì³íþâàííÿ: âëàñòèâîñò³ â ñåðåäíüîìó ³íôðà÷åðâîíîìó ä³àïàçîí³ çà äàíèìè êîñì³÷íîãî òåëåñêîïà WISE Äîñë³äæóþòüñÿ ôîòîìåòðè÷í³ õàðàêòåðèñòèêè ó ñåðåäíüîìó ³íôðà -÷åðâîíîìó ä³àïàçîí³ êîìïàêòíèõ ãàëàêòèê ç âèòîêîì ³îí³çàö³éíîãî âèïðîì³íþâàííÿ (LyC-ãàëàêòèê) ç ìåòîþ ïîøóêó çàëåæíîñòåé, ÿê³ á äîçâîëèëè çðîáèòè ê³ëüê³ñíó îö³íêó ³îí³çàö³éíîãî âèïðîì³íþâàííÿ, ùî âèõîäèòü çà ìåæ³ ãàëàêòèêè.Çîêðåìà, äîñë³äæåíî çàëåæíîñò³ ì³æ õàðàêòåðèñòèêàìè êîëüîðó ãàëàêòèê çà äàíèìè êîñì³÷íîãî òåëåñêîïà WISE òà ÷àñòêîþ âèïðîì³íþâàííÿ â ëàéìàí³âñüêîìó êîíòèíóóì³ f esc (LyC) ³ ÷àñòêîþ âèïðîì³íþâàííÿ f esc (Ly a ) â ë³í³¿ Ly a , ÿê³ âèõîäÿòü çà ìåæ³ ãàëàêòèêè.Âñòàíîâëåíî çàëåæíîñò³ ÷àñòîê âèïðîì³íþâàííÿ f esc (LyC) òà f esc (Ly a ) â³ä ïîêàçíèêà êîëüîðó W1 -W4, äå W1 ³ W4 -â³äïîâ³äíî âèäèì³ çîðÿí³ âåëè÷èíè íà äîâæèíàõ õâèëü 3.4 ³ 22 ìêì çà äàíèìè êîñì³÷íîãî òåëåñêîïà WISE.Öå ðîáèòü ïîêàçíèê êîëüîðó W1 -W4 êîðèñíèì ³íäèêàòîðîì äëÿ ê³ëüê³ñíî¿ îö³íêè f esc (LyC) ³ f esc (Ly a ), íà äîäàòîê äî âñòàíîâëåíèõ ðàí³øå îêðåìèõ õàðàêòåðèñòèê LyC-ãàëàêòèê â îïòè÷íîìó òà óëüòðàô³îëåòîâîìó ä³àïàçîíàõ.Òàêèì ÷èíîì, âè ïðîì³íþâàííÿ ãàëàêòèê â ñåðåäíüîìó ³íôðà÷åðâîíîìó ä³àïàçîí³ ìîæ íà âèêîðèñòîâóâàòè äëÿ ïîøóêó êàíäèäàò³â ó LyC-ãàëàêòèêè ç ìåòîþ ¿õí³õ ïîäàëüøèõ ñïîñòåðåæåíü.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".