DarkMatterFM registry · capability-gap analysis

Which missing tools block the most dark-matter science?

Twenty-five research projects, each a concrete deliverable distilled from a systematic audit of every testing pipeline in the registry — ranked by how much high-priority model space each one unblocks.

2,004model cards audited

7,000pipeline steps judged

5,166capability gaps identified

25research projects distilled

The ranking

Bars show each project’s impact; the darker inner segment is the share coming from structure-formation observables. Re-sort to see the ordering by structure-formation impact alone, or by value per unit effort. Hover for all metrics; click a project to jump to its full description.

Rank by

total impact structure-formation share

The projects

Each project bundles the tool, likelihood and derivation gaps of one capability theme into a single deliverable. The blocked-model lists link to the source papers on arXiv; priority scores come from the registry’s observational-follow-up ranking.

All 25 projects as a table

#	Project	Impact	SF impact	Models	SF models	Gap entries	Cost	Value

Built from the DarkMatterFM model registry: 2,004 enriched dark-matter model cards, each carrying theory-to-observable testing routes; every route step was audited for public-tool availability and every missing capability recorded with a concrete proposed resolution (5,166 gap entries, schema-validated with zero failures). 370 gaps (7%) did not map onto a named theme and are excluded here. Data: capability_gaps_full.jsonl · research_projects_ranked.jsonl.