Distributed Telescope Network Research Papers¶
THE CORE THESIS: What Distributed Networks Can Do That Single Telescopes Cannot¶
Your network is irreplaceable because: 1. Simultaneity - Multiple sites observe same event at same moment (parallax, triangulation) 2. Geographic distribution - Weather immunity, 24-hour coverage, longitude baseline 3. Temporal density - Coordinated high-cadence that no single facility can sustain 4. Follow-up capacity - LSST will discover ~10 million transients/night but can't follow any
FOUNDATIONAL NETWORK ARCHITECTURE PAPERS¶
Las Cumbres Observatory (The Gold Standard)¶
- Brown et al. 2013 - "Las Cumbres Observatory Global Telescope Network" - arXiv:1305.2437
- The definitive paper on professional distributed network architecture
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Network design, scheduling, science cases
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McCully et al. 2018 - "Real-time processing with BANZAI" - arXiv:1811.04163
- Automated pipeline for network-wide data reduction
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Critical for understanding data flow architecture
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Saunders et al. 2014 - "LCOGT Network Observatory Operations" - arXiv:1407.3284
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Operational model, autonomous recovery, quality control
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Harbeck et al. 2024 - "Upgraded 0.4-meter telescope fleet" - arXiv:2405.10408
- Modern hardware choices: PlaneWave DeltaRho 350, QHY600 CMOS
Scheduling & Coordination¶
- Zhang et al. 2023 - "Multilevel Scheduling Framework for Distributed Telescope Arrays" - arXiv:2301.07860
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Key paper on multi-site scheduling optimization
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ROARS 2025 - "Reinforcement Learning for Online Astronomical Scheduling" - arXiv:2502.11134
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State-of-the-art ML scheduling approaches
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GRRIS 2024 - "GNN-based intra-site scheduling" - arXiv:2410.09881
- Graph neural networks for telescope coordination
SCIENCE CASE PAPERS: WHAT ONLY DISTRIBUTED NETWORKS CAN DO¶
Stellar Occultations (KILLER APP #1)¶
- Arimatsu et al. 2019 - "Kilometre-sized KBO discovered by amateur telescopes" - arXiv:1910.09994 / Nature Astronomy
- OASES project: Two 28cm telescopes discovered a ~1.3km KBO
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This is your proof of concept paper
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OASES 2024 - "Exploring the Outer Solar System through Stellar Occultation" - arXiv:2411.04436
- Amateur-class telescopes detecting km-scale TNOs
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Details methodology, hardware (CMOS cameras, 15.4 fps)
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Sicardy et al. 2024 - "Stellar occultations by Trans-Neptunian Objects" - arXiv:2411.07026
- Comprehensive review: ring detections, atmosphere measurements
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Emphasizes "large community of amateur astronomers"
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Lucky Star/Ortiz - "Stellar Occultations by TNOs: From Predictions to Results" - arXiv:1905.04335
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ERC-funded European coordination effort
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TAOS - "Statistical Methods for Detecting Stellar Occultations" - arXiv:astro-ph/0209509
- Original multi-telescope occultation survey methodology
Exoplanet Transit Timing Variations (KILLER APP #2)¶
- Agol & Fabrycky 2017/2025 - "Transit Timing Variations for Discovery and Characterization" - arXiv:1706.09849
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The theoretical foundation for TTV science
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ExoClock IV 2025 - "620 updated exoplanet ephemerides" - arXiv:2511.14407
- 326 co-authors, ground+space integration
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Your model for citizen science coordination
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ExoClock III 2022 - "450 new exoplanet ephemerides" - arXiv:2209.09673
- 40% of literature ephemerides needed updating
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215 co-authors from amateur community
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Exoplanet Citizen Science Pipeline 2025 - arXiv:2503.14575
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Human factors, streamlining amateur observation workflows
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ETD/TTV papers - Multiple papers cite Exoplanet Transit Database with >83,000 observations from >1600 amateur observers
Microlensing Follow-up¶
- KMTNet Alert System 2018 - arXiv:1806.07545
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Multi-observatory alert algorithm
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LensNet 2025 - "ML for Real-time Microlensing Discovery" - arXiv:2501.06293
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Modern approaches to event detection
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Batista 2024 - "Finding planets via gravitational microlensing" - arXiv:2407.06689
- KMTNet contributed to 204/278 microlensing planets
GRB & Transient Follow-up¶
- GRANDMA 2022 - "Network preparation for O4" - arXiv:2207.10178
- 30 telescopes, includes Kilonova-Catcher citizen science
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Key model for heterogeneous network coordination
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Gupta et al. 2024 - "GRB 230204B with MASTER and BOOTES networks" - arXiv:2412.18152
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Robotic networks capturing early afterglows
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TESS GRB Afterglows 2023 - arXiv:2307.11294
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Serendipitous detection with wide-field continuous monitoring
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LCO GRB Pipeline 2019 - arXiv:1907.00630
- 3-minute response time to socket alerts
Gravitational Wave Optical Follow-up¶
- LCO GW Follow-up 2017 - arXiv:1710.05842
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Galaxy-targeted strategy, identified GW170817 host 5th in ranked list
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ZTF O4a Summary 2024 - arXiv:2405.12403
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Systematic kilonova search methodology
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Singer et al. 2012 - "Optimizing optical follow-up" - arXiv:1204.4510
- Coordinated approach doubles detection efficiency
THE RUBIN/LSST FOLLOW-UP CRISIS (YOUR OPPORTUNITY)¶
The Problem: Discovery Without Classification¶
- Rubin ToO 2024 - arXiv:2411.04793
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Only 3% observing time for targets of opportunity
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LSST Transients Roadmap 2022 - arXiv:2208.04499
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"tens of thousands of transients per night, far outpacing available spectroscopic follow-up"
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AAS2RTO 2025 - "Automated Alert Streams to Real-Time Observations" - arXiv:2501.06968
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Prioritization tools for limited follow-up resources
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Fink Active Learning 2025 - arXiv:2502.19555
- "impossible to follow-up all transient candidates spectroscopically"
Your Niche: Photometric Follow-up¶
- LSST finds things but visits each field only ~every 3 days
- Your network can provide:
- Rapid photometric confirmation
- High-cadence light curves between LSST visits
- Multi-color coverage unavailable from single-filter surveys
- 24-hour continuous coverage for fast-evolving transients
PRO-AM COLLABORATION MODELS¶
AAVSO (100+ years of variable star collaboration)¶
- Price 2012 - "AAVSO 2011 Demographic Survey" - arXiv:1204.3582
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1/3 of participants are co-authors on journal papers
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AAVSO Research Portal - 50+ million observations in database
- Model for long-term data aggregation
Visual Survey Group¶
- Surveyed ~10 million Kepler/K2/TESS light curves
- 69 peer-reviewed papers
- Demonstrates value of distributed human attention
TIME-DOMAIN DATA PLATFORMS¶
SkyPortal/Fritz¶
- Coughlin et al. 2023 - "Data science platform for time-domain astronomy" - arXiv:2305.00108
- Open-source TOM system, multi-telescope management
- Uses LLMs for source summaries
Alert Systems¶
- GCN - General Coordinates Network (gamma-ray, GW, neutrino alerts)
- TNS - Transient Name Server
- Gaia Alerts - Real-time transient stream
HARDWARE & TECHNICAL REFERENCES¶
Camera Technology¶
- CMOS revolution: ZWO ASI, QHY600
- Frame rates: 10-60 Hz for occultations
- GPS timing: Critical for simultaneity
Network Software¶
- INDI/ASCOM - Telescope control standards
- Astropy - Python astronomy stack
- Astrometry.net - Plate solving
KEY TAKEAWAYS FOR YOUR NETWORK¶
- Occultations are your trump card - Rubin/LSST cannot do this at all
- TTV maintenance is already proven - ExoClock shows amateur networks work
- GW follow-up needs more eyes - Professional networks are oversubscribed
- The follow-up bottleneck is real - Every paper about LSST mentions it
- Simple scheduling works - Pull model, dumb nodes, smart center
WHAT PROFESSIONALS CANNOT REPLICATE¶
| Capability | Single Large Telescope | Your Network |
|---|---|---|
| Simultaneous multi-site | ❌ Impossible | ✅ By design |
| 24-hour coverage | ❌ Limited by longitude | ✅ Global distribution |
| Weather immunity | ❌ Single site risk | ✅ Redundant coverage |
| High-cadence sustained | ❌ Shared resource | ✅ Dedicated campaigns |
| Occultation chord density | ❌ 1 chord max | ✅ Multiple chords |
| Follow-up capacity | ❌ Oversubscribed | ✅ Available |
Compiled January 2026 Total papers referenced: 80+
HETEROGENEOUS ARRAY DESIGN — Additional Literature (from This is of substance.md)¶
Foundational Array Design Papers¶
- Abraham & van Dokkum 2014 — "Ultra-Low Surface Brightness Imaging with the Dragonfly Telephoto Array"
- Proves that stacking images from commercial optics can achieve depths greater than professional observatories
- Key insight: sub-pixel shifting and dithering to remove systematics between different lenses
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Newer Exo-Dragonfly iterations have integrated CMOS sensors for higher cadence alongside CCDs
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Ben-Ami et al. 2023 — "The Large Array Survey Telescope (LAST) — Science Goals"
- Describes a system of 48 telescopes using mostly CMOS sensors
- Validates cost-effectiveness of CMOS for large-scale arrays
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Highlights need for precise calibration when stacking data from multiple cheap detectors
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Guyon et al. 2014 — "The PANOPTES project: discovering exoplanets with low-cost digital cameras" — SPIE
- Distributed network of citizen-science units (mostly CMOS DSLRs)
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Algorithms for "stacking" photometry from different locations to detect exoplanet transits
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ESA Conference Proceedings — "A new telescope array for NEO detection and characterization"
- Hybrid architecture: 1-metre telescopes with CCDs for depth + 0.6-metre telescopes with CMOS for speed
- Approach: CCDs for deep reference frames; CMOS array for high-cadence tracking; combine both streams
Stacking Algorithm Papers¶
- Fruchter & Hook 2002 — "Drizzle: A Method for the Linear Reconstruction of Undersampled Images"
- The fundamental algorithm used by Hubble (and OpenAstro) to combine images with different pixel scales
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Essential reference for heterogeneous stacking pipeline design
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ResearchGate 2017 — "Astronomical Image Acquisition Using an Improved Track and Accumulate Method"
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Discusses stacking short exposures (CMOS style) to match long integration depth
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arXiv 2025 — "Mock Observations for the CSST Mission: Multi-Channel Imager"
- Recent work on calibrating simultaneous multi-band imaging — relevant to simultaneous photometry approach
Asteroid Spectroscopy / Small Telescope Spectroscopy¶
- arXiv 2025 — "SPECTRUMMATE: A Low-cost Spectrometer for Small Telescopes"
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3D-printable spectrometer design for small telescopes (<1m)
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Busarev et al. 2018 — "Spectrophotometry of Asteroids with Small Telescopes"
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Scientific results (mineralogy) from telescopes as small as 20–50cm using low-resolution gratings
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arXiv 2025 — "Asteroid shape inversion with light curves using deep learning"
- Relevant for lightcurve photometry science case