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pith:R4QU4CHX

pith:2026:R4QU4CHXJT5PH7YKKACM564CGR
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Dark siren cross-correlations and the sensitivity of $H_0$ to methodological choices

Chris Blake, Cullan Howlett, Leonardo Giani, Madeline L. Cross-Parkin, Tamara M. Davis

Dark siren cross-correlations allow systematic biases in H0 to be mitigated through appropriate methodological choices and large precise samples.

arxiv:2605.06783 v2 · 2026-05-07 · astro-ph.CO

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our results indicate that, with appropriate modelling choices and a sufficiently large sample of precise gravitational wave events, the systematic biases considered here can be effectively mitigated.

C2weakest assumption

That selection effects from catalog incompleteness can be fully absorbed into the theoretical prediction without needing an explicit model of the missing population, and that future gravitational wave samples will be both large and precise enough for the mitigation to hold.

C3one line summary

Methodological choices in dark siren cross-correlations can mitigate biases in H0 inference when selection effects are built into the model and samples of precise events are sufficiently large.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-09T01:20:05.345229Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8f214e08f74cfaf3ff0a5004cefb82345f3e9ab7fdf0b6efee26d97a7cdb7286

Aliases

arxiv: 2605.06783 · arxiv_version: 2605.06783v2 · doi: 10.48550/arxiv.2605.06783 · pith_short_12: R4QU4CHXJT5P · pith_short_16: R4QU4CHXJT5PH7YK · pith_short_8: R4QU4CHX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R4QU4CHXJT5PH7YKKACM564CGR \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8f214e08f74cfaf3ff0a5004cefb82345f3e9ab7fdf0b6efee26d97a7cdb7286
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0e682f16365eca1b7fad3d8af4a6f9c23b83bb7c277661f0672747cf4ce9dee3",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "astro-ph.CO",
    "submitted_at": "2026-05-07T18:00:04Z",
    "title_canon_sha256": "2c5e10a3aa7d15fa99ce99cb33846a1330c149286f2e9c564e2f269b08adacd2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.06783",
    "kind": "arxiv",
    "version": 2
  }
}