Modeling RS Ophiuchi's Recurrent Nova Cycle Using Dillip Cosmological Equations of State Derived from KUTE Framework

We present a theoretical model of the recurrent nova RS Ophiuchi, a whitedwarf (WD)-red giant binary system approximately 5,000–7,381 light-years away inOphiuchus, using Dillip Cosmological Equations of State (DCEOS) derived from theKaundinya Unified Theory of Everything (KUTE) framework. Leveraging DCEOSv2.2, upgraded with NIF Sigma-37 validation, we analyze its 15-year outburst cycles(e.g., 2021 event) as a probe of mass transfer dynamics near the Chandrasekharlimit. The model integrates multi-messenger observations (optical, X-ray, neutrino)with high-density phase transitions, predicting a supernova at 2.88 ± 0.25 Myr andneutron star formation, ruling out a black dwarf phase due to SiPo lattice-drivencollapse. Falsification criteria are established to test the model’s robustness.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-30
DOI
https://doi.org/10.5281/zenodo.16647746
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling RS Ophiuchi's Recurrent Nova Cycle Using Dillip Cosmological Equations of State Derived from KUTE Framework

Zenodo (CERN European Organization for Nuclear Research)
Astrophysical Phenomena and Observations
article

Modeling RS Ophiuchi's Recurrent Nova Cycle Using Dillip Cosmological Equations of State Derived from KUTE Framework

article en

Abstract

We present a theoretical model of the recurrent nova RS Ophiuchi, a whitedwarf (WD)-red giant binary system approximately 5,000–7,381 light-years away inOphiuchus, using Dillip Cosmological Equations of State (DCEOS) derived from theKaundinya Unified Theory of Everything (KUTE) framework. Leveraging DCEOSv2.2, upgraded with NIF Sigma-37 validation, we analyze its 15-year outburst cycles(e.g., 2021 event) as a probe of mass transfer dynamics near the Chandrasekharlimit. The model integrates multi-messenger observations (optical, X-ray, neutrino)with high-density phase transitions, predicting a supernova at 2.88 ± 0.25 Myr andneutron star formation, ruling out a black dwarf phase due to SiPo lattice-drivencollapse. Falsification criteria are established to test the model’s robustness.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 65%
Astrophysical Phenomena and Observations
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.