KAALX™: Karmic Astral Analytics & Lunar Quantum eXtrapolation — A Computational Framework for Personalized Temporal Intelligence Using Astronomical Cycles, Traditional Muhurta Systems and a Proposed Quantum-Inspired Research Layer

KAALX™ (Karmic Astral Analytics & Lunar Quantum eXtrapolation) is a proprietary computational framework developed by Depression To Direction: Kundli Guidance to investigate personalized temporal suitability. The framework combines location-aware astronomical computation with traditional Panchanga and Muhurta classifications, individual birth-derived relationships, activity-specific interpretation, numerical suitability assessment and future-window exploration. The present implementation contains a compact solar model and a 60-term Meeus/ELP-style lunar longitude calculation, followed by traditional temporal classification and a weighted internal suitability index. The system also provides future-window searches across short and long horizons. The term quantum-inspired denotes a proposed mathematical extension involving state, uncertainty, interaction and coherence; it does not claim quantum hardware or a physical quantum mechanism. An independent numerical benchmark against Swiss Ephemeris was conducted using 5,000 uniformly sampled UTC epochs across calendar year 2026. The KAALX lunar longitude showed a mean absolute error of 46.283 arcsec, while the corresponding solar mean absolute error was 12.419 arcsec. These results characterize the astronomical approximation only and do not establish astrological or predictive validity.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22298437
Primary Topic
Historical Astronomy and Related Studies
Type
preprint
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preprint

KAALX™: Karmic Astral Analytics & Lunar Quantum eXtrapolation — A Computational Framework for Personalized Temporal Intelligence Using Astronomical Cycles, Traditional Muhurta Systems and a Proposed Quantum-Inspired Research Layer

Astro Raghav Johri Raghav Johri, Depression To Direction: Kundli Guidance
Zenodo (CERN European Organization for Nuclear Research)
Historical Astronomy and Related Studies
preprint

KAALX™: Karmic Astral Analytics & Lunar Quantum eXtrapolation — A Computational Framework for Personalized Temporal Intelligence Using Astronomical Cycles, Traditional Muhurta Systems and a Proposed Quantum-Inspired Research Layer

Astro Raghav Johri Raghav Johri, Depression To Direction: Kundli Guidance
preprint en

Abstract

KAALX™ (Karmic Astral Analytics & Lunar Quantum eXtrapolation) is a proprietary computational framework developed by Depression To Direction: Kundli Guidance to investigate personalized temporal suitability. The framework combines location-aware astronomical computation with traditional Panchanga and Muhurta classifications, individual birth-derived relationships, activity-specific interpretation, numerical suitability assessment and future-window exploration. The present implementation contains a compact solar model and a 60-term Meeus/ELP-style lunar longitude calculation, followed by traditional temporal classification and a weighted internal suitability index. The system also provides future-window searches across short and long horizons. The term quantum-inspired denotes a proposed mathematical extension involving state, uncertainty, interaction and coherence; it does not claim quantum hardware or a physical quantum mechanism. An independent numerical benchmark against Swiss Ephemeris was conducted using 5,000 uniformly sampled UTC epochs across calendar year 2026. The KAALX lunar longitude showed a mean absolute error of 46.283 arcsec, while the corresponding solar mean absolute error was 12.419 arcsec. These results characterize the astronomical approximation only and do not establish astrological or predictive validity.

Zenodo (CERN European Organization for Nuclear Research)
Historical Astronomy and Related Studies
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