Pre-registration: quantitative predictions for Gaia DR4 wide binaries (December 2, 2026) — Pré-enregistrement : prédictions chiffrées pour les binaires larges de Gaia DR4

This document pre-records, before the release of Gaia DR4 (scheduled December 2, 2026), numerical predictions relating to the sample of wide binaries, at the heart of the open controversy between the analyses of Chae (gravitational boost factor γ ≈ 1.43) and those of Banik, Pittordis and Sutherland (γ ≈ 1, Newtonian). The tested reading is a phenomenological rule with a single scale parameter (g† = 1.2×10⁻¹⁰ m/s²), fixed a priori and never fitted to the binary data. Four predictions are pre-recorded (global γ, angular dipole, separation profile, survival anisotropy), with frozen numerical thresholds and four predefined test outcomes, including two that refute the reading. Prediction freeze date: October 28, 2026. Public filing date: November 11, 2026. The document is bilingual (English / French). The theoretical interpretation from which the reading is derived is the subject of a separate deposit: the interpretive note is available at DOI 10.5281/zenodo.24147082; it is neither required nor claimed for the validity of this test. Version bilingue (anglais / français) : prédictions chiffrées pour les binaires larges de Gaia DR4 — pré-enregistrement, gel des prédictions le 28 octobre 2026, dépôt public le 11 novembre 2026. La note d'interprétation fait l'objet d'un dépôt séparé (DOI 10.5281/zenodo.24147082) ; elle n'est ni requise ni revendiquée pour la validité du présent test.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24146762
Primary Topic
Stellar, planetary, and galactic studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Pre-registration: quantitative predictions for Gaia DR4 wide binaries (December 2, 2026) — Pré-enregistrement : prédictions chiffrées pour les binaires larges de Gaia DR4

Xavier PRESENT
Zenodo (CERN European Organization for Nuclear Research)
Stellar, planetary, and galactic studies
preprint

Pre-registration: quantitative predictions for Gaia DR4 wide binaries (December 2, 2026) — Pré-enregistrement : prédictions chiffrées pour les binaires larges de Gaia DR4

Xavier PRESENT
preprint en

Abstract

This document pre-records, before the release of Gaia DR4 (scheduled December 2, 2026), numerical predictions relating to the sample of wide binaries, at the heart of the open controversy between the analyses of Chae (gravitational boost factor γ ≈ 1.43) and those of Banik, Pittordis and Sutherland (γ ≈ 1, Newtonian). The tested reading is a phenomenological rule with a single scale parameter (g† = 1.2×10⁻¹⁰ m/s²), fixed a priori and never fitted to the binary data. Four predictions are pre-recorded (global γ, angular dipole, separation profile, survival anisotropy), with frozen numerical thresholds and four predefined test outcomes, including two that refute the reading. Prediction freeze date: October 28, 2026. Public filing date: November 11, 2026. The document is bilingual (English / French). The theoretical interpretation from which the reading is derived is the subject of a separate deposit: the interpretive note is available at DOI 10.5281/zenodo.24147082; it is neither required nor claimed for the validity of this test. Version bilingue (anglais / français) : prédictions chiffrées pour les binaires larges de Gaia DR4 — pré-enregistrement, gel des prédictions le 28 octobre 2026, dépôt public le 11 novembre 2026. La note d'interprétation fait l'objet d'un dépôt séparé (DOI 10.5281/zenodo.24147082) ; elle n'est ni requise ni revendiquée pour la validité du présent test.

Zenodo (CERN European Organization for Nuclear Research)
Stellar, planetary, and galactic studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon