IDRAK: A Simulation-Based Framework for Residual Analysis in Astronomical Event Catalogs

This repository contains the manuscript associated with the project:“IDRAK: A Simulation-Based Framework for Residual Analysis in Astronomical Event Catalogs”.The work presents an exploratory and simulation-based computational framework for residual analysis using astronomical event catalogs as an illustrative application. The methodology combines ephemeris-based forward modeling, Earth orientation corrections, atmospheric refraction adjustments, surrogate-based resampling methods, and statistical diagnostics including ADF, KPSS, Pettitt, CUSUM, block bootstrap uncertainty estimation, and Benjamini–Hochberg false-discovery-rate correction.All reported statistical quantities are interpreted strictly within the adopted surrogate and residual-analysis framework. No causal, predictive, or physical claims are made.This record contains the manuscript PDF prepared for exploratory and reproducible computational research purposes.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-11
DOI
https://doi.org/10.5281/zenodo.20115287
Primary Topic
GNSS positioning and interference
Type
preprint
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preprint

IDRAK: A Simulation-Based Framework for Residual Analysis in Astronomical Event Catalogs

Hicham Chigar
Zenodo (CERN European Organization for Nuclear Research)
GNSS positioning and interference
preprint

IDRAK: A Simulation-Based Framework for Residual Analysis in Astronomical Event Catalogs

Hicham Chigar
preprint en

Abstract

This repository contains the manuscript associated with the project:“IDRAK: A Simulation-Based Framework for Residual Analysis in Astronomical Event Catalogs”.The work presents an exploratory and simulation-based computational framework for residual analysis using astronomical event catalogs as an illustrative application. The methodology combines ephemeris-based forward modeling, Earth orientation corrections, atmospheric refraction adjustments, surrogate-based resampling methods, and statistical diagnostics including ADF, KPSS, Pettitt, CUSUM, block bootstrap uncertainty estimation, and Benjamini–Hochberg false-discovery-rate correction.All reported statistical quantities are interpreted strictly within the adopted surrogate and residual-analysis framework. No causal, predictive, or physical claims are made.This record contains the manuscript PDF prepared for exploratory and reproducible computational research purposes.

Zenodo (CERN European Organization for Nuclear Research)
GNSS positioning and interference
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