ASASSN-24hd; a dwarf nova bridging WZ Sge-type and SU UMa-type superoutbursts
Bibliographic record
Abstract
WZ Sge-type dwarf novae (DNe) form a subclass in cataclysmic variables, characterized by short-period variations called superhumps during an outburst. Here we present optical ground-based and TESS observations of ASASSN-24hd in its 2024-2025 outburst. ASASSN-24hd is the first reported WZ Sge-type DN outburst fully covered by TESS, providing a great opportunity to study the evolution of superhumps. Our observations establish its early and stage-A ordinary superhumps as 0.05711(4) and 0.05919(5) d, respectively, resulting in its mass ratio of 0.098(4). The TESS observations confirm that the evolution of its superhump period, amplitude, and profile after the appearance of ordinary superhumps is generally consistent with those of SU UMa-type DNe observed with Kepler and TESS. Furthermore, we find that ASASSN-24hd in outburst shares a great similarity to the 2010 superoutburst of an SU UMa-type DN V585 Lyr, observed by Kepler, particularly including the superhump evolution and the long waiting time ($\gtrsimeq$ 5 d) before the stage A--B transition of ordinary superhumps. The shorter superoutburst cycles and smaller outburst amplitude in V585 Lyr than those of ASASSN-24hd disfavor the interpretation that V585 Lyr is, in fact, a face-on WZ Sge-type DN where early superhumps are undetectable. Instead, one possibility of their critical differences is either low quiescence viscosity or inner disk truncation, which has been invoked to explain the extreme nature of WZ Sge-type DNe, but future observations in quiescence are vital to conclude. These findings emphasize the borderline between SU UMa-type and WZ Sge-type DNe.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".