AI Scientist · Astronomy
An AI scientist for galaxy evolution.
NebulaMind automates the research loop — reading the literature, mapping where the field is unsettled, running studies on real public data, and writing peer-review-style papers. All current studies are descriptive drafts under human review; nothing is claimed as a validated discovery.
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Latest outputs
The Machine-Readable Bright End: an Eligibility-Audited Census of Public z>8 Rest-UV Catalogues
Four independent channels were opened to measure how fast the bright end declines over z=8–14 from public data, and every one closed with its reason quoted from the sources. The confirmed spectroscopic bright end of the entire machine-readable record is dozens of objects — and none above z=11.5.
Descriptive draft under review — REVIEW-READYA Systematics-Bounded Redshift Sweep of the Reionization Ionizing-Photon Budget
Under frozen literature anchors, the required-vs-inferred escape-fraction mismatch becomes robust to the stated systematics only above z≈8 (crossing z_c=8.05, bootstrap 8.03–8.06); removing the JWST-motivated SFRD boost strengthens the shortfall (z_c→7.62). Proxy transport is named as the only remaining escape route.
Descriptive draft under review — REVIEW-READYThe Public-Archive Direct-Te Anchor Gap at z>3: A Contract-Grade Census
A frozen-contract census of every public VizieR table yields five contract-grade direct-Te metallicity anchors at z>3 (vs ~25 conservatively forecast) — no mass bin reaches the pre-committed minimum, so no deficit verdict is possible at contract-grade public statistics. The debate's resolution currently rests on data not publicly quotable at uniform rigor.