Key Papers¶
Canonical references for OpenAstro science cases. Last updated: March 2026. Use this file as the authoritative citation source for grant proposals, internal science documents, and paper drafts.
1. Distributed Telescope Network Architecture¶
The Professional Benchmark¶
Brown et al. 2013 — "Las Cumbres Observatory Global Telescope Network" - Journal: PASP, 125, 1031 - arXiv: 1305.2437 - DOI: 10.1086/673168 - Why canonical: The definitive architectural reference for a professional distributed telescope network. Covers scheduling philosophy, robotic operations, data pipeline (BANZAI), and science cases. Every OpenAstro architecture decision should be grounded in how LCO solved it first and why OpenAstro's constraints differ.
McCully et al. 2018 — "Real-time processing with BANZAI" - SPIE Proceedings 10707 - arXiv: 1811.04163 - Why canonical: The automated image reduction pipeline architecture for a heterogeneous robotic network. Directly relevant to OpenAstro's own reduction pipeline design.
Saunders et al. 2014 — "LCOGT Network Observatory Operations" - SPIE Proceedings 9149 - arXiv: 1407.3284 - Why canonical: Operational model, autonomous fault recovery, queue scheduling mechanics. The "how do you run it 24/7" paper.
Amateur Networks That Produced Publishable Science¶
Arimatsu et al. 2019 — "A kilometre-sized Kuiper belt object discovered by stellar occultation using amateur telescopes" - Journal: Nature Astronomy, 3, 301–306 - arXiv: 1910.09994 - DOI: 10.1038/s41550-018-0685-8 - Why canonical: The single most important proof-of-concept paper for OpenAstro. Two 28-cm amateur telescopes (total cost ~$6K) co-discovered a ~1.3 km KBO and published in Nature Astronomy as a peer-reviewed first-author paper. Demonstrates that amateur-aperture distributed observations produce first-tier science, not second-tier support work.
Agol & Winn 2009 — "Refining Exoplanet Ephemerides and Transit Observing Strategies" - Journal: ApJ, 693, 1920 - arXiv: 0812.1827 - Why canonical: Analytical framework for how amateur transit timing observations reduce ephemeris uncertainty over time. Quantifies the value of each additional transit observation. Use this to explain why OpenAstro TTV monitoring has increasing marginal scientific return.
ExoClock III (Zellem et al. + Kokori et al. 2022) — "ExoClock Project: An Open Platform for Monitoring the Ephemerides of Ariel's Targets" - Journal: ApJS, 258, 40 - arXiv: 2209.09673 - DOI: 10.3847/1538-4365/ac3a2c - Why canonical: 215 co-authors (mostly amateur observers). 450 updated exoplanet ephemerides. Found that ~40% of published ephemerides were significantly offset. Proved that a coordinated amateur network produces first-author journal papers with direct scientific impact. The operational model OpenAstro should replicate for TTV campaigns.
ExoClock IV (Kokori et al. 2025) — "The ExoClock Project IV: 620 Exoplanet Ephemerides" - arXiv: 2511.14407 - Why canonical: 326 co-authors. Integrated ground+space (TESS, CHEOPS) data with amateur submissions. Demonstrated the integration of heterogeneous data quality tiers into a unified ephemeris product. Directly models how OpenAstro data should be integrated with professional archives.
Price et al. 2012 — "AAVSO 2011 Demographic Survey" - arXiv: 1204.3582 - Why canonical: Quantifies co-authorship rates for AAVSO members (~1/3 of regular contributors achieve co-authorship). Establishes the pro-am collaboration model's track record. Use in grant proposals to argue that amateur co-authorship is normal and productive, not exceptional.
2. Stellar Occultations and Ring Science¶
Ring Discoveries¶
Braga-Ribas et al. 2014 — "A ring system detected around the Centaur (10199) Chariklo" - Journal: Nature, 508, 72–75 - arXiv: 1407.7316 - DOI: 10.1038/nature13155 - Why canonical: First confirmed ring system around a minor planet. Demonstrated the power of coordinated multi-site stellar occultation for discovering structures that are invisible in direct imaging. The ring dips in the light curve are distinguishable only because multiple sites observed symmetric events before/after the main occultation.
Ortiz et al. 2017 — "The size, shape, density and ring of the dwarf planet Haumea from a stellar occultation" - Journal: Nature, 550, 219–223 - arXiv: 1709.05994 - DOI: 10.1038/nature24051 - Why canonical: Ring detection around a dwarf planet. 12-site campaign enabling full non-spherical shape reconstruction. Shows the scaling: more chord coverage = higher-dimensional shape model.
Morgado et al. 2023 — "A dense ring of the trans-Neptunian object Quaoar outside its Roche limit" - Journal: Nature, 614, 239–243 - arXiv: 2302.00669 - DOI: 10.1038/s41586-022-05629-6 - Why canonical: Scientifically controversial ring outside the Roche limit. Requires follow-up multi-campaign observations to refine ring width and optical depth. An ongoing open problem that OpenAstro could contribute to.
Occultation Methodology¶
Sicardy et al. 2024 — "Stellar occultations by Trans-Neptunian Objects: from predictions to results" - arXiv: 2411.07026 - Why canonical: Comprehensive review of the technical methodology: prediction pipeline, multi-site coordination, data reduction, ring detection. Explicitly notes the role of "large community of amateur astronomers." The reference paper for OpenAstro occultation methodology.
OASES team (Arimatsu et al. 2024) — "Exploring the Outer Solar System through Stellar Occultation with 28-cm telescopes" - arXiv: 2411.04436 - Why canonical: Details the hardware setup (ZWO CMOS cameras at 15.4 fps) and statistical methods for KBO detection from amateur apertures. The recipe for building an OpenAstro occultation module.
TAOS (Zhang et al. 2003) — "Statistical Methods for Detecting Stellar Occultations by Kuiper Belt Objects: The Taiwan-America Occultation Survey" - arXiv: astro-ph/0209509 - Why canonical: Original methodology paper for multi-telescope simultaneous photometry for occultation detection. Statistical framework for false positive rejection by requiring ≥2 simultaneous chord detections.
3. Transit Timing Variations¶
Theoretical Foundation¶
Holman & Murray 2005 — "The Use of Transit Timing to Detect Terrestrial-Mass Companions" - Journal: Science, 307, 1288–1291 - DOI: 10.1126/science.1107822 - Why canonical: The founding paper. Proved theoretically that gravitational perturbations produce measurable TTVs. Defined the TTV method as a planet detection technique. Every TTV paper in existence cites this.
Agol et al. 2005 — "On detecting terrestrial planets with timing of giant planet transits" - Journal: MNRAS, 359, 567–579 - arXiv: astro-ph/0409267 - DOI: 10.1111/j.1365-2966.2005.08922.x - Why canonical: Parallel to Holman & Murray but more analytically rigorous. Derived the resonance enhancement factor — the key insight that TTV amplitudes are dramatically larger near mean-motion resonances (2:1, 3:2). This is why we prioritize near-resonance systems.
Holman et al. 2010 — "Kepler-9: A System of Multiple Planets Transiting a Sun-Like Star, Confirmed by Timing Variations" - Journal: Science, 330, 51 - DOI: 10.1126/science.1195778 - Why canonical: The first confirmed multi-planet exoplanet system discovered via TTVs. Validated the method observationally. Kepler-9 b/c remain the largest-amplitude TTV system known.
Nesvorny et al. 2013 — "KOI-142, The King of Transit Timing Variations, is a Pair of Planets near the 2:1 Resonance" - Journal: ApJ, 777, 3 - arXiv: 1306.3561 - DOI: 10.1088/0004-637X/777/1/3 - Why canonical: Demonstrated full dynamical mass inversion from TTV data using TTVFast. Showed that TTV-derived masses agree with RV masses — validating the method quantitatively.
Agol & Fabrycky 2017 — "Transit Timing and Duration Variations for the Discovery and Characterization of Exoplanets" - In: Handbook of Exoplanets (Deeg & Belmonte eds.) - arXiv: 1706.09849 - Why canonical: The comprehensive review. Covers all aspects of TTV theory, detection, and characterization through the Kepler era. The starting point for anyone new to TTV science.
Computational Tools¶
Deck et al. 2014 — "TTVFast: An Efficient and Accurate Code for Transit Timing Inversion Problems" - Journal: ApJ, 787, 132 - arXiv: 1403.1895 - DOI: 10.1088/0004-637X/787/2/132 - Why canonical: The standard N-body forward model used to compute predicted transit mid-times from orbital parameters. Required for any TTV parameter inversion. OpenAstro's TTV analysis module should call TTVFast directly or use the Python wrapper (github.com/ericagol/TTVFast).
Foreman-Mackey et al. 2013 — "emcee: The MCMC Hammer" - Journal: PASP, 125, 306 - arXiv: 1202.3665 - Why canonical: The standard Bayesian sampler used for TTV orbital parameter fitting. Every modern TTV inversion uses TTVFast + emcee (or a similar MCMC sampler). OpenAstro TTV pipeline should use this combination.
ExoClock pipeline reference: - GitHub: https://github.com/ExoClock/ExoClockS - Why canonical: Open-source Python pipeline from ingestion of amateur FITS files through mid-transit time extraction. OpenAstro should fork/adapt this rather than building from scratch.
4. FRB Optical Counterpart Science¶
Andreoni et al. 2020 — "Constraining bright optical counterparts of Fast Radio Bursts" - Journal: PASP, 132, 1001 - arXiv: 2104.09727 (referenced throughout the vault; the canonical vault shorthand) - DOI: 10.1088/1538-3873/ab7000 - Why canonical: The paper that defines the methodology for distributed photometric monitoring of FRB repeater fields. Used LCOGT. Non-detection result placed upper limits of ~19th magnitude on optical counterparts. The negative result ruled out several emission models. Demonstrates that a distributed stare-mode network produces peer-reviewed results even without a detection.
Petroff et al. 2022 — "Fast radio bursts" - Journal: A&ARv, 30, 2 - arXiv: 2107.10113 - DOI: 10.1007/s00159-022-00139-w - Why canonical: The current comprehensive review of FRB science. ~650 known FRBs, ~50 repeaters, no confirmed prompt optical counterpart. Provides the theoretical motivation and current constraint landscape. Essential context for any OpenAstro FRB proposal.
CHIME/FRB Collaboration 2021 — "The First CHIME/FRB Fast Radio Burst Catalog" - Journal: ApJS, 257, 59 - arXiv: 2106.04352 - Why canonical: The source catalog for FRB repeater targets. CHIME/FRB VOEvent alerts are the primary trigger source for OpenAstro's rapid-response FRB stare mode.
5. Heterogeneous Image Stacking Methodology¶
Dragonfly Telescope (Abraham & van Dokkum 2014) — "The Dragonfly Telephoto Array: A New Instrument for Low Surface Brightness Astronomy" - Journal: PASP, 126, 55 - arXiv: 1401.5473 - DOI: 10.1086/674875 - Why canonical: Dragonfly is the architectural ancestor of heterogeneous array photometry. Multiple consumer telephoto lenses pointed at the same field, outputs co-added. Demonstrated that arrays of small optical elements can produce science-grade deep photometry. Directly relevant to OpenAstro's multi-node stacking architecture. Key insight: the combining step is mathematically equivalent whether the apertures are identical or heterogeneous, as long as the images are reprojected to a common WCS before co-addition.
LAST (Large Array Survey Telescope) — Ofek et al. 2023 — "The LAST Telescope: A Low-Cost, High-Cadence, Wide-Field Survey Telescope" - Journal: PASP, 135, 065001 - arXiv: 2304.12294 - DOI: 10.1086/724752 - Why canonical: LAST is an array of 48 identical 0.28m telescopes at one site, with a co-addition pipeline that achieves >21 mag depth in survey mode. The computational architecture for managing many telescopes' data streams in real time is the closest professional analog to what OpenAstro needs. Key reference for the ingest pipeline and co-addition scheduler.
Astropy reproject package — Robitaille et al. / Astropy Collaboration
- GitHub: https://github.com/astropy/reproject
- Documentation: https://reproject.readthedocs.io
- Why canonical: The standard Python tool for reprojecting images between different WCS coordinate systems. Essential for heterogeneous stacking when telescopes have different plate scales, orientations, and FOVs. The reproject_interp function handles the pixel-to-pixel remapping. All OpenAstro stacking must run through this or an equivalent WCS-aware reprojection.
Astropy Collaboration (2013, 2018, 2022) — The Astropy Papers
- Astropy 2013: A&A, 558, A33. arXiv:1307.6212
- Astropy 2018: AJ, 156, 123. arXiv:1801.02634
- Astropy 2022: ApJ, 935, 167. arXiv:2206.14220
- Why canonical: The foundational Python astronomy software stack. FITS I/O (astropy.io.fits), WCS (astropy.wcs), time (astropy.time), coordinates (astropy.coordinates), photometry utilities (photutils). OpenAstro's entire reduction pipeline is built on top of Astropy. These papers must be cited in any OpenAstro methodology paper.
6. Pro-Am Collaboration Model Papers¶
Mamajek et al. 2012 — "Planetary Construction Zones in Occultation: Discovery of an Extrasolar Ring System Transiting a Young Sun-like Star and Future Prospects for Detecting Eclipses by Circumsecondary and Circumplanetary Disks" - Journal: AJ, 143, 72 - arXiv: 1108.4070 - Why canonical: Demonstrates a case where amateur photometry (from AAVSO and SuperWASP archival data) contributed to the discovery of a complex disk system around J1407. Shows that systematic mining of distributed amateur archives produces novel astrophysical discoveries.
GRANDMA collaboration papers — Antier et al. 2020, Pradel et al. 2022 - Pradel et al. 2022: arXiv:2207.10178 - Why canonical: GRANDMA is a 30-telescope heterogeneous network (mix of professional and amateur nodes) coordinated for GW and GRB follow-up. The coordination model, contribution protocols, and co-authorship framework are directly applicable to OpenAstro. Includes "Kilonova-Catcher" citizen science arm.
7. Data Standards and Infrastructure¶
FITS Standard — Wells et al. 1981 (original); Hanisch et al. 2001 (updated) - Hanisch et al. 2001: A&A, 376, 359. DOI:10.1051/0004-6361:20010923 - Current standard maintained by IAUFWG: https://fits.gsfc.nasa.gov/fits_standard.html - Why canonical: The universal data container. Every OpenAstro image must be FITS-compliant with complete headers.
WCS Standard — Calabretta & Greisen 2002 - Journal: A&A, 395, 1077 - DOI: 10.1051/0004-6361:20021326 - Why canonical: Defines the FITS header keywords and conventions for embedding astrometric solutions in FITS files. Required reading for anyone implementing the plate-solve step.
MPC ADES Standard — Chesley et al. 2017 - Documentation: https://minorplanetcenter.net/iau/info/ADES.html - Why canonical: The modern replacement for the MPC 80-column astrometry format. OpenAstro nodes contributing asteroid positions must submit in ADES.
astrometry.net — Lang et al. 2010 - Journal: AJ, 139, 1782 - arXiv: 0910.2233 - DOI: 10.1088/0004-6361/139/5/1782 - Why canonical: The blind plate-solving engine. Takes an arbitrary image with no prior knowledge of pointing and returns the WCS solution by matching star patterns to a reference catalog. This must run on every OpenAstro image before any science reduction begins.
8. Scheduling and Alert Response¶
Zhang et al. 2023 — "Multilevel Scheduling Framework for Distributed Telescope Arrays" - arXiv: 2301.07860 - Why canonical: The most relevant modern paper on scheduling algorithms for distributed telescope networks. Covers the multi-site, multi-target optimization problem directly applicable to OpenAstro.
ROARS 2025 — "Reinforcement Learning for Online Astronomical Scheduling" - arXiv: 2502.11134 - Why canonical: State-of-the-art ML scheduling approach. Important for understanding the next generation of scheduling algorithms OpenAstro may adopt.
GCN (General Coordinates Network) - https://gcn.nasa.gov - VOEvent schema: https://www.ivoa.net/documents/VOEvent/ - Why canonical: The primary distribution channel for GRB, GW, and high-energy transient alerts. OpenAstro scheduler must subscribe to GCN to trigger follow-up within the ~3-minute golden window for GRB afterglow detection.
Rubin LSST Alert Stream documentation - DMTN-093: https://dmtn-093.lsst.io - arXiv: 2208.04499 (LSST Transients Roadmap) - Why canonical: OpenAstro will need to ingest LSST Avro alerts (via a broker) to trigger photometric follow-up of transient candidates. The Roadmap paper quantifies the follow-up bottleneck (~10 million alerts/night, ~3% ToO time available on Rubin).
9. Key Reviews¶
Batalha 2014 — "Exploring exoplanet populations with NASA's Kepler Mission" - Journal: PNAS, 111, 12647 - DOI: 10.1073/pnas.1304196111 - Why relevant: Provides the statistical context for why TTV monitoring of known transiting systems is scientifically important — multi-planet architectures are the norm, not the exception.
Winn & Fabrycky 2015 — "The Occurrence and Architecture of Exoplanetary Systems" - Journal: ARA&A, 53, 409 - arXiv: 1410.4199 - Why relevant: The definitive review of exoplanet system architecture. Motivates why TTVs are the primary method for characterizing multi-planet dynamics in compact systems.
Quick Reference: arXiv IDs¶
| Paper | arXiv ID |
|---|---|
| LCO network architecture (Brown 2013) | 1305.2437 |
| BANZAI pipeline (McCully 2018) | 1811.04163 |
| OASES KBO discovery (Arimatsu 2019) | 1910.09994 |
| ExoClock III (Kokori 2022) | 2209.09673 |
| ExoClock IV (Kokori 2025) | 2511.14407 |
| Chariklo rings (Braga-Ribas 2014) | 1407.7316 |
| Haumea ring (Ortiz 2017) | 1709.05994 |
| Quaoar ring (Morgado 2023) | 2302.00669 |
| Holman & Murray 2005 TTV | (Science, no arXiv — DOI:10.1126/science.1107822) |
| Agol et al. 2005 TTV | astro-ph/0409267 |
| Kepler-9 TTVs (Holman 2010) | (Science, no arXiv — DOI:10.1126/science.1195778) |
| KOI-142 TTVs (Nesvorny 2013) | 1306.3561 |
| TTVFast (Deck 2014) | 1403.1895 |
| Agol & Fabrycky 2017 review | 1706.09849 |
| FRB optical limits (Andreoni 2020) | 2104.09727 |
| FRB review (Petroff 2022) | 2107.10113 |
| CHIME/FRB catalog (2021) | 2106.04352 |
| Dragonfly array (Abraham 2014) | 1401.5473 |
| LAST telescope (Ofek 2023) | 2304.12294 |
| astrometry.net (Lang 2010) | 0910.2233 |
| GRANDMA (Pradel 2022) | 2207.10178 |
| LSST Transients Roadmap (2022) | 2208.04499 |
| WASP-47 multi-planet (Becker 2015) | 1508.02411 |
| WASP-4 decay (Baluev 2019) | 1901.08900 |
| WASP-18 decay (Shporer 2019) | 1901.05621 |
| Sicardy TNO occultation review (2024) | 2411.07026 |
| OASES methodology (Arimatsu 2024) | 2411.04436 |
| emcee MCMC (Foreman-Mackey 2013) | 1202.3665 |
| Scheduling framework (Zhang 2023) | 2301.07860 |