Research & Publications

Open Science Initiative  ·  www.qrcl.net

QRCL Technologies OÜ conducts open research in exoplanet detection, multi-messenger astronomy, and post-quantum verification systems. Our work focuses on Transit Timing Variation (TTV) analysis for hidden planet discovery, atmospheric biosignature detection methodology, and systematic frameworks for validating observational predictions.

All research publications are released under open-access principles with SHA-256 verified evidence, reproducible analysis pipelines, and publicly available datasets. We collaborate with global astronomy archives including NASA MAST/TESS/Kepler, ESA Gaia/CHEOPS, SIMBAD TAP, and the European Open Science Cloud (EOSC) EU Node to ensure transparent, verifiable science.

Our methodology emphasizes statistical rigor, cross-instrument validation, and community reproducibility. Each prediction includes confidence intervals, detection methodology documentation, and clear criteria for observational confirmation. Research collaborations and data sharing inquiries are welcome from the global astronomy community.

1,426
Exoplanets
Analyzed
10
Zenodo DOIs
Published
73
TTV Predictions
Identified

Published Works

PUBLISHEDExoplanet Habitability Assessment: A Quantitative Analysis of 1,426 Habitable Zone Candidates from the NASA Exoplanet Archive

QRCL Research Team — QRCL Technologies OÜ (2026)

Comprehensive quantitative analysis of 1,426 exoplanets within the habitable zone (200–400 K). Multi-parameter scoring algorithm evaluates temperature (35%), radius (20%), insolation (15%), stellar type (15%), and distance (15%). Identifies one very high probability candidate (K2-3 d, P=0.758, 305 K, 1.46 R⊕), 53 high probability candidates (0.5≤P<0.7), and 97 moderate probability candidates (0.3≤P<0.5). Includes analysis data, scoring framework, and NASA Exoplanet Archive integration.

DOI: 10.5281/zenodo.20673556  ·  Zenodo: 20673556  ·  2 data files  ·  CC BY 4.0

PUBLISHEDMulti-Messenger Framework for Exoplanet Biosignature Detection: Bayesian Evidence, False-Positive Rejection, and TTV Context

QRCL Research Team — QRCL Technologies OÜ (2026)

Journal-format (AASTeX 6.31) open-source pipeline integrating JWST transmission spectroscopy (NIRSpec + MIRI LRS), TESS SPOC TTV O–C residuals, ESA Gaia DR3 stellar astrometry, and N-body dynamical stability into a unified Bayesian log-evidence framework. Detection thresholds: tentative (Z>3), strong (Z>5), definitive (Z>10 dual-band + abiotic rejection). Applied to TRAPPIST-1 d/e, K2-18 b (DMS Z≈3.5, tentative), TOI-700 d/e, LHS 1140 b, Kepler-186 f. No biosignature claimed. Includes folded TESS SPOC light curves, TTV refinement data, JWST MAST survey, Bayesian framework figures, and SHA-256 evidence ledger.

DOI: 10.5281/zenodo.20648990  ·  Zenodo: 20648990  ·  12 files  ·  AASTeX 6.31 journal format  ·  CC BY 4.0

PUBLISHEDQRCL Biosignature Detection Pipeline v1.0: Multi-Messenger Framework Software

QRCL Research Team — QRCL Technologies OÜ (2026)

Open-source Python pipeline implementing the QRCL Multi-Messenger Framework. Includes MAST/JWST archive query tools, TESS TTV O–C analysis, Bayesian evidence framework, K2-18 b DMS evidence tools, NASA/ESA image retrieval, publication PDF generator, and AASTeX journal paper source. All outputs SHA-256 verified. Companion to the MMF journal paper.

DOI: 10.5281/zenodo.20648956  ·  Zenodo: 20648956  ·  Software release  ·  Python  ·  CC BY 4.0

PUBLISHEDTransit Timing Variation Analysis of Multi-Planet Systems: 5 Predictions Validated by NASA Exoplanet Archive Data

QRCL Research Team — QRCL Technologies OÜ (2026)

Systematic TTV analysis of 24 multi-planet systems identifying 73 hidden planet candidates. 5 predictions independently validated through NASA Exoplanet Archive with <0.05% orbital deviation, using O–C residual analysis on TESS SPOC and Kepler long-cadence light curves.

Kepler-9 b/c TTV O-C residuals — real Kepler photometry
Kepler-9 b/c
First TTV-confirmed multi-planet system · 19.2 / 38.9 d
Kepler-11 b-f TTV O-C residuals — real Kepler photometry
Kepler-11 b–f
Six-planet flat architecture · TTV mass constraints
Kepler-18 c/d TTV O-C residuals — real Kepler photometry
Kepler-18 c/d
Near 2:1 resonance · TTV amplitude 1250 min
Kepler-36 b/c TTV O-C residuals — real Kepler photometry
Kepler-36 b/c
Closest confirmed adjacent orbits · swapping conjunctions
Kepler-60 b/c/d TTV O-C residuals — real Kepler photometry
Kepler-60 b/c/d
Three-body Laplace resonance chain

DOI: 10.5281/zenodo.20633749  ·  551 TTV measurements  ·  4 figures  ·  O−C plots: QRCL analysis · Kepler archive data (NASA/MAST)

PUBLISHEDDimethyl Sulfide as a Biosignature: Review, False-Positive Analysis, and Observational Strategy for K2-18 b — Extended Evidence Package

QRCL Research Team — QRCL Technologies OÜ (2026)

Extended evidence package for the K2-18 b DMS biosignature review. Includes novel DMS Bayesian Z-score analysis, false-positive simulation, multi-messenger theory framework, arXiv literature survey (10+ papers), NASA archive data, and SHA-256 evidence ledger. DMS signal classified TENTATIVE (Z≈3.5, single band) — dual-band MIRI LRS confirmation required before any claim.

DOI: 10.5281/zenodo.20648939  ·  Zenodo: 20648939  ·  9 evidence files  ·  CC BY 4.0

Latest Results (2026-06-11)

PRELIMINARYTRAPPIST-1 d/e Transit Timing Variations: TESS SPOC-Only Refinement

QRCL Research Team — QRCL Technologies OÜ (2026)

O–C residuals from TESS SPOC light curves for TRAPPIST-1 d and e. TRAPPIST-1 d: 4 transits, O–C −59.6 to +122.4 min (stdev 71.5 min). TRAPPIST-1 e: 4 transits, O–C −37.0 to +100.6 min (stdev 56.4 min). Residuals consistent with inter-planetary gravitational perturbations. 20+ transits required before period extraction.

Status: Preliminary  ·  SHA-256: fa2bc102… (d), 4ea906e0… (e)  ·  Evidence: MIDTIME_REFINEMENTS_20260611T193803Z.json

PRELIMINARYJWST Priority Target Survey: TRAPPIST-1, K2-18 b, TOI-700 — MAST Query

QRCL Research Team — QRCL Technologies OÜ (2026)

MAST query for JWST transmission spectra across 5 priority habitable-zone targets. Zero public spectra found for TRAPPIST-1, TOI-700, LHS 1140, and Kepler-186. K2-18 b DMS signal (Madhusudhan et al. 2023) at Z≈3.5 — classified TENTATIVE under our framework (Z>10 required for any claim). MIRI LRS dual-band confirmation required.

Status: Evidence logged — no detection claimed  ·  SHA-256: 8e466368…  ·  Evidence: jwst_search_20260611_204514.json

PUBLISHEDCatalog of Transit Timing Variation Predictions: 68 Candidates in Multi-Planet Systems

QRCL Research Team — QRCL Technologies OÜ (2026)

Reference dataset documenting 68 TTV predictions across Kepler, TESS, and ground-based multi-planet system targets. Includes confidence intervals, O–C amplitudes, and detection methodology for each candidate.

DOI: 10.5281/zenodo.20645064  ·  Zenodo: 20645064  ·  4 files  ·  CC BY 4.0

PUBLISHEDExtended Transit Timing Variation Analysis of the TRAPPIST-1 System

QRCL Research Team — QRCL Technologies OÜ (2026)

Extended TTV analysis of the TRAPPIST-1 system using TESS Sectors 18–19 and 70. Includes O–C residuals for planets d and e, N-body stability constraints, and dynamical mass upper limits. A candidate additional perturber is discussed; observational confirmation requires N≥20 transits.

DOI: 10.5281/zenodo.20645345  ·  Zenodo: 20645345  ·  3 files  ·  CC BY 4.0

PUBLISHEDMulti-Epoch Transit Timing Variation Analysis of Kepler-9

QRCL Research Team — QRCL Technologies OÜ (2026)

Combined 4-year Kepler baseline with TESS extended monitoring to validate TTV signals in the Kepler-9 b/c system. Refines orbital perturbation models and provides updated TTV amplitudes and period ratios consistent with near-2:1 mean-motion resonance.

DOI: 10.5281/zenodo.20645341  ·  Zenodo: 20645341  ·  3 files  ·  CC BY 4.0

Contact & Collaboration

QRCL Research Team
QRCL Technologies OÜ
info@qrcl.net
www.qrcl.net

Research collaborations welcome. All data and methodology available under open science principles. Contact us for dataset access, methodology discussions, or joint observational proposals.

Citation & Attribution Requirement

Required Citation: If you use any QRCL data, methodology, or publications for your research, or if you validate/publish discoveries based on QRCL predictions or findings, you must cite the original publication using the author name and DOI exactly as listed on the corresponding Zenodo record:

[Author as listed on the Zenodo record], QRCL Technologies OÜ, Estonia. [Publication Title]. Zenodo. DOI: [DOI Number]

This ensures proper attribution and credit for foundational research that enabled your work. Full author attribution is provided on each Zenodo DOI record. Citation requirements apply to all QRCL publications and datasets.

Page updated: 2026-06-13T12:50Z  ·  Evidence integrity: SHA-256 verified  ·  Latest DOI: 10.5281/zenodo.20648990