Pith. sign in

REVIEW 2 major objections 7 minor 43 references

An automated MeerKAT backend has already searched more than 1.2 million coherent beams for technosignatures by riding along with ordinary observations.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

T0 review · grok-4.5

2026-07-30 16:38 UTC pith:UXDWMWFS

load-bearing objection Solid systems paper: a working full-bandwidth MeerKAT commensal SETI backend with 1.2M pointings already in the bag; the single-band JWST efficiency check is a real but proportionate caveat. the 2 major comments →

arxiv 2607.23651 v1 pith:UXDWMWFS submitted 2026-07-26 astro-ph.IM

Breakthrough Listen's Automated Commensal Technosignature Survey with MeerKAT

Daniel J. Czech , David H.E. MacMahon , Ian Heywood , Chenoa D. Tremblay , Matt Lebofsky , Kevin Lacker , Cherry Ng , Dave Horn
show 15 more authors
Sarah Buchner Brian Lacki Alex Andersson Joe S. Bright Steve Croft Dave R. DeBoer Jamie Drew Vishal Gajjar Peter Ma Alex W. Pollak Danny Price Mark Ruzindana Andrew P.V. Siemion S. Pete Worden Fernando Camilo
This is my paper
classification astro-ph.IM
keywords technosignaturesSETIMeerKATcommensal observingbeamformingradio astronomy instrumentationnarrowband search
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper describes BLUSE, a fully automated system that taps MeerKAT’s multicast F-engine data stream and runs a continuous technosignature search without needing dedicated telescope time. It upchannelises the full available bandwidth to roughly 1 Hz, forms dozens of coherent beams on stars and other objects inside each primary field of view, and runs a Taylor-tree de-Doppler search on every beam. End-to-end tests with the James Webb Space Telescope’s S-band telemetry confirm that the beamformer and search pipeline work as designed. Since mid-2022 the system has processed more than 1.2 million individual pointings, showing that array-based commensal observing can multiply the volume of SETI data by orders of magnitude at modest marginal cost.

Core claim

BLUSE demonstrates that a user-supplied backend can autonomously ingest MeerKAT’s full-bandwidth F-engine multicast streams, form 64 coherent beams plus one incoherent beam per primary pointing, and search them for narrowband drifting signals at ~1 Hz resolution, accumulating more than 1.2 million processed pointings since 2022 and thereby establishing commensal array surveys as a rapid, cost-effective path to large-scale technosignature coverage.

What carries the argument

The BLUSE pipeline: multicast subscription to MeerKAT F-engine packets, real-time upchannelisation to ~1 Hz, coherent beamforming from primary-observer calibration solutions, and an in-line Taylor-tree de-Doppler search that writes hits and voltage “stamps.”

Load-bearing premise

The calibration solutions produced for the primary observer stay accurate enough for coherent beamforming across every band, subarray, and 290-second integration the survey actually uses.

What would settle it

Measure coherent-beam efficiency and residual phase error on a grid of real survey pointings spanning UHF, L-band and all S-band sub-bands; if efficiency routinely falls well below the ~85 % JWST test value, the survey’s claimed sensitivity and localisation power do not hold.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • Technosignature search volume can grow by tens of thousands of new stars per month without competing for primary telescope time.
  • Voltage “stamp” files around each hit allow later re-beamforming anywhere in the primary field of view, turning detections into reusable data products.
  • The same multicast architecture can host additional search algorithms (imaging, pulsed searches, machine-learning detectors) in parallel with the existing Taylor-tree pipeline.
  • Sky maps of processed pointings already reveal dense coverage of the Galactic plane, Virgo Cluster and deep fields, ready for statistical analyses of hit rates versus frequency and sky position.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • If other multicast-capable arrays adopt the same pattern, the global SETI search rate could become limited by compute and storage rather than by allocated telescope hours.
  • The dependence on primary-observer calibrations suggests a natural next step: an independent real-time self-cal loop that would keep beamforming robust when the primary schedule is sparse or poorly calibrated.
  • Stamp-based archival strategy implies that the long-term science return will hinge as much on how aggressively stamps are kept as on how many beams are formed.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

2 major / 7 minor

Summary. The manuscript describes BLUSE, Breakthrough Listen's user-supplied equipment at MeerKAT: an autonomous commensal system that subscribes to F-engine multicast streams, upchannelises to ~1 Hz resolution, synthesizes 64 coherent beams plus one incoherent beam per 290 s primary pointing, and runs a Taylor-tree de-Doppler search with stamp-file capture of per-antenna voltages around detections. The paper documents the processing pipeline (§2), the state-machine-based automation that handles heterogeneous subarray configurations (§3), the hardware (§4), an end-to-end validation using JWST's S-band telemetry downlink as a test source (§5), and three years of observing statistics totalling ~1.2 million viable pointings on ~360,000 unique objects (§6). The central claim is that multicast F-engine access plus real-time upchannelisation, beamforming, and drift search constitutes a working, cost-effective path to large-scale commensal technosignature surveys.

Significance. If the system performs as described, this is a substantial contribution to the field: ~29,000 new stars per month at ~1 Hz resolution dwarfs the throughput of prior targeted single-dish surveys, and the commensal model demonstrated here is directly relevant to survey design at MeerKAT, the VLA, and SKA-pathfinder arrays. The paper ships several concrete strengths that deserve explicit credit: (i) a genuine end-to-end validation against an independently known moving source (JWST ephemerides), recovering the expected transit in tiled offline beams, correlator images, and per-antenna stamp files; (ii) a quantitative beamforming efficiency (η = 0.849 via Eq. 2, ≈0.92 by the Rajwade et al. 2022 method) consistent with independent L-band literature; (iii) falsifiable operational statistics (pointing counts, unique-object counts, sky maps) rather than fitted parameters; and (iv) public code for essentially every pipeline component (seticore, hpguppi_daq, commensal-automator, bfr5 generator, targets-minimal). This is a system paper done the right way.

major comments (2)
  1. [§2.1 and §5] The one quantitative check that borrowed TelState calibration solutions yield good coherent beams is a single S0/4k, 62-antenna observation (η = 0.849). Yet §2.1 states BLUSE 'can retrieve and rely upon calibration solutions produced for the primary observer', and the 1.2M pointings of §6 span UHF/L/S bands, 1k/4k/32k modes, and varied subarray sizes. Phase solutions drift on minute timescales and were derived for the primary observer's calibrator schedule, possibly on a different antenna subset; residual phase error at retrieval time directly decorrelates the coherent sum, and SEFD scales inversely with η. This does not defeat the central engineering claim — 85–92% at S-band is a credible demonstration — but the manuscript should (a) state explicitly that η has been verified only for the one configuration tested, and (b) ideally provide a concrete check of solution robustness, e.g. η as
  2. [§6] The headline throughput numbers (1.5M beams processed, 1.2M viable, 360k unique objects, 29k/month) are given without a breakdown by band, F-engine mode, or subarray size. Since the reader is told in §3 that BLUSE operates across all configurations, a table or figure decomposing the pointing counts by band and mode would make the observing-progress claim auditable and would also support the calibration-uniformity question above. This is a modest addition from data the authors necessarily already have.
minor comments (7)
  1. [§3.5, Eq. (1)] The target scoring S'_band = S_band + t×b×n adds quantities with mixed dimensions (seconds × subband segments × antennas). Presumably this is an ad hoc heuristic score, which is fine, but a sentence stating that the score is dimensionless by construction (and what b counts exactly for the 5-subband S-band case) would help.
  2. [§5] The efficiency from Eq. (2) is reported as 84.9% from a single measurement; no uncertainty is quoted. Even a rough error budget (thermal noise on P_coh/P_incoh, antenna-flagging fraction) would strengthen the comparison with Rajwade et al. (2022).
  3. [§2.3] The SNR threshold of 6 and drift range ±10 Hz/s are stated as operational choices; a brief note on the resulting expected hit rate per pointing (and how the stamp-file 'dial' of §2.4 interacts with it) would help readers assess data-product volumes.
  4. [§2, Table 1] The fine-channel bandwidths (1.01/1.59/1.62 Hz) differ subtly from the '~1 Hz' used in the abstract and §2.2; worth stating once that the exact value depends on receiver/mode as tabulated.
  5. [Figure 7] The caption notes markers are not representative of beam size/shape; adding the synthesized beam FWHM at S0 for scale would make the tiled-beam demonstration more quantitative.
  6. [Data Availability] 'Shared on request' is weak for a paper whose validation rests on one observation; depositing the JWST-test raw voltage recording and stamp files (modest volume) in a public archive would make the key validation fully reproducible.
  7. [Throughout] Minor typographical issues: 'hpguppi daq' (§2) appears with a stray space; the ESDKB URL in footnote 8 is broken across lines; Figure 2's caption could spell out the FreeSubscribed/RecProc abbreviations on first use.

Circularity Check

0 steps flagged

No circularity: engineering system description with external measured validation, not a fitted or self-defined derivation.

full rationale

BLUSE is presented as a built commensal pipeline (multicast ingest, upchannelisation to ~1 Hz, coherent beamforming, Taylor-tree search) whose central quantitative claims are operational counts (1.2 M pointings) and an end-to-end efficiency measurement against JWST ephemerides and correlator images. Equation 2 defines beamforming efficiency from measured coherent/incoherent powers; the reported 84.9 % (or ~0.92 by the Rajwade method) is an external empirical ratio, not a parameter fitted to redefine the claim. Target-selection scores and TelState calibration retrieval are engineering choices, not uniqueness theorems or self-referential predictions. Self-citations (Czech et al. 2021 target list, seticore, Lacki exotica catalogue) supply prior software/catalogues and are not load-bearing for any derived result. The paper contains no derivation chain that reduces by construction to its own inputs.

Axiom & Free-Parameter Ledger

4 free parameters · 4 axioms · 0 invented entities

As an instrumentation paper the load-bearing content is the built system and its measured performance. Free parameters are operational thresholds chosen by the team; axioms are standard array-processing assumptions plus MeerKAT-specific interfaces; no new physical entities are postulated.

free parameters (4)
  • SNR detection threshold = 6
    Initial value set to 6 to balance sensitivity against storage; directly controls hit and stamp rate (Section 2.3).
  • drift-rate search range = ±10 Hz/s
    Chosen as ±10 Hz s⁻¹; authors note intent to widen later. Affects computational cost and completeness (Section 2.3).
  • number of coherent beams per pointing = 64
    Fixed at 64 (+1 incoherent) by current GPU/memory budget (Section 2.2).
  • target ranking scores S'_band
    Additive score S' = S + t × b × n used to prioritise under-observed stars; coefficients are design choices (Eq. 1).
axioms (4)
  • domain assumption MeerKAT F-engine multicast SPEAD2 streams and TelState calibration solutions are sufficiently stable and complete for coherent beamforming across all supported bands and subarray configurations.
    Invoked throughout Sections 2–3; validated only on one S-band test.
  • domain assumption Taylor-tree de-Doppler search at ~1 Hz resolution is an adequate first-pass filter for narrowband technosignatures.
    Standard SETI practice cited from prior work; authors note future algorithms will run in tandem (Section 2.3).
  • domain assumption Primary-beam half-power width estimated from observing band is accurate enough to select in-beam targets from the 32 M star catalogue.
    Used by targets-minimal process (Section 3.5).
  • standard math Standard complex voltage beamforming with delay/delay-rate polynomials yields the reported efficiency once TelState solutions are applied.
    Underlying signal-processing identity used in seticore and efficiency ratio (Eq. 2).

pith-pipeline@v1.2.0-grok45-kimik3 · 19256 in / 2701 out tokens · 57522 ms · 2026-07-30T16:38:08.823780+00:00 · methodology

0 comments
read the original abstract

The search for extraterrestrial intelligence (SETI) is an ongoing effort to detect technosignatures, evidence of technologically capable life beyond Earth. Conducting a comprehensive SETI programme requires a large amount of telescope time, which must be balanced with the science goals of a given observatory. Fortunately, many modern radio telescopes offer commensal access to the data they produce, allowing multiple scientific programmes to operate in parallel. The MeerKAT radio telescope in South Africa provides commensal access to a range of components, from each antenna's digitiser to the main channeliser (F-engine), via multicast Ethernet groups. Here, we describe the Breakthrough Listen user-supplied equipment (BLUSE) system at MeerKAT, which leverages multicast Ethernet to conduct an autonomous commensal technosignature survey, processing the full available bandwidth from all antennas. Its primary mode of operation is to upchannelise the incoming F-engine data to ~1Hz resolution, synthesize coherent beams on objects of interest, and search the resultant data for technosignatures. Since 2022, BLUSE has autonomously processed data from coherent beams synthesized on more than 1.2 million individual pointings, including repeat visits. BLUSE demonstrates how commensal technosignature surveys on radio telescope arrays offer a rapid and cost-effective way to increase the rate at which technosignature surveys can be conducted. This article describes the architecture of BLUSE, provides experimental evidence validating its features and performance, and quantifies its observing progress over the past few years. We also discuss the technical evolution of BLUSE, examine challenges faced and addressed, and consider avenues for future research and development.

Figures

Figures reproduced from arXiv: 2607.23651 by Alex Andersson, Alex W. Pollak, Andrew P.V. Siemion, Brian Lacki, Chenoa D. Tremblay, Cherry Ng, Daniel J. Czech, Danny Price, Dave Horn, Dave R. DeBoer, David H.E. MacMahon, Fernando Camilo, Ian Heywood, Jamie Drew, Joe S. Bright, Kevin Lacker, Mark Ruzindana, Matt Lebofsky, Peter Ma, Sarah Buchner, S. Pete Worden, Steve Croft, Vishal Gajjar.

Figure 1
Figure 1. Figure 1: High-level diagram of the BLUSE commensal technosignature survey system. The dotted green lines represent the flow of metadata and control messages, while the solid blue lines represent the high-speed data path [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: The two different state machines that operate for each possible subarray. The FreeSubscribed states are described in (a) and the RecProc states in (b). 3.1 State machine architecture A set of state machines, two per subarray, is used to ensure that re￾sources are correctly allocated, metadata are correctly delivered, and recording is correctly synchronised across participating processing instances. The Fre… view at source ↗
Figure 3
Figure 3. Figure 3: A simplified example of how the coordinator allocates individual pipeline instances to different independent active subarrays. blpn64 blpnN bluse_analyzer_0 coordinator blpn0 zmq circusctl bluse_analyzer_1 bluse_analyzer_0 bluse_analyzer_1 bluse_analyzer_0 hosts processing instances headnode process ... ... redis [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: The mechanism by which the coordinator controls processing across processing instances [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: AMD-based processing node, showing the four RTX A4000 Am￾pere GPUs (a), the two NVMe carrier cards (b), and the NIC (c) [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: 8 of the 16 racks occupied by BLUSE in the KAPB. Servers physically closer to the 40GbE switches use copper interconnect (black), while those further away use fibre (orange). processes also transmit annotations to Grafana, which are then dis￾played on the resultant plots (for example, the time at which recording started for a particular observation). Daily observing summaries are automatically emailed to s… view at source ↗
Figure 8
Figure 8. Figure 8: Power over time of different synthesized beams placed at fixed sky coordinates on the path of JWST’s transit, corresponding with the position of JWST at t=0s, t=120s and t=300s. Tremblay et al. (2022). This yields a ratio 𝑃𝑐𝑜ℎ𝑒𝑟 𝑒𝑛𝑡 /𝑃𝑖𝑛𝑐𝑜ℎ𝑒𝑟 𝑒𝑛𝑡 of approximately 52.63, yielding an efficiency of 84.9% given that there were 62 antennas in the subarray at the time of the observation. Small phase calibration … view at source ↗
Figure 9
Figure 9. Figure 9: Main panel: A 0.3 × 0.3 deg2 region of a single 8 second snapshot image formed from the MeerKAT correlator data. The bright central source is the JWST. Upper right panel: A 1.8 × 1.8 arcmin2 zoom of the main panel, showing the position of JWST relative to the correlator phase centre, and its expected start and end position for the data discussed in Section 5. Lower right panel: As per the upper right panel… view at source ↗
Figure 10
Figure 10. Figure 10: Sky coverage of commensal observing thus far, showing the primary fields of view (to scale) for each processed primary pointing in UHF, L and S-band. Translucency has been applied to each marker, so overlapping fields appear darker (for example where fields have been observed repeatedly). Note the generous density of observations along the galactic plane, over the Virgo cluster and the Euclid Deep Field (… view at source ↗
Figure 11
Figure 11. Figure 11: The contents of a stamp file saved automatically in response to a detection of JWST’s S-band telemetry downlink in a synthesized beam. The same time-frequency region of the upchannelised voltage data from each participating antenna is extracted and saved. In this observation, 62 antennas were available. This plot shows power for both polarisations, summed. This paper has been typeset from a TEX/LATEX file… view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

43 extracted references · 3 canonical work pages

  1. [1]

    Tremblay, C. D. and Chaudhary, S. and Li, M. G. and Sheikh, S. Z. and Myburgh, T. and Czech, D. and MacMahon, D. E. and Demorest, P. B. and Donnachie, R. A. and Siemion, A. P. V. and Gajjar, V. and Lebofsky, M. and Wandia, K. and Perez, K. I. and Madhusudhan, N. , title =. 2026 , month =. doi:10.3847/1538-3881/ae448e , url =

    work page doi:10.3847/1538-3881/ae448e 2026

  2. [2]

    Astronomy & Astrophysics , volume=

    A deployed real-time end-to-end deep learning algorithm for fast radio burst detection , author=. Astronomy & Astrophysics , volume=. 2025 , publisher=

    2025

  3. [3]

    Research Notes of the AAS , volume=

    Hycean Exoplanets as Targets for Technosignature Detection: A Case Study of K2-18 b in the 3--10 GHz Band , author=. Research Notes of the AAS , volume=. 2023 , publisher=

    2023

  4. [4]

    , keywords =

    Drift Rates of Narrowband Signals in Long-term SETI Observations for Exoplanets. , keywords =. doi:10.3847/1538-4357/ac90bd , archivePrefix =. 2208.02511 , primaryClass =

    Pith/arXiv arXiv

  5. [5]

    , keywords =

    Choosing a Maximum Drift Rate in a SETI Search: Astrophysical Considerations. , keywords =. doi:10.3847/1538-4357/ab3fa8 , archivePrefix =. 1910.01148 , primaryClass =

    Pith/arXiv arXiv 1910

  6. [6]

    An application of high-performance reconfigurable computing in radio astronomy signal processing , year=

    Ford, John and Ray, Jason , booktitle=. An application of high-performance reconfigurable computing in radio astronomy signal processing , year=

  7. [7]

    , keywords =

    A Search for Extraterrestrial Intelligence (SETI) toward the Galactic Anticenter with the Murchison Widefield Array. , keywords =. doi:10.3847/1538-4357/aab363 , archivePrefix =. 1803.00524 , primaryClass =

    Pith/arXiv arXiv

  8. [8]

    , keywords =

    Constraints on extragalactic transmitters via Breakthrough Listen observations of background sources. , keywords =. doi:10.1093/mnras/stac2607 , adsurl =

    doi:10.1093/mnras/stac2607

  9. [9]

    Technical and observational capabilities of the

    Farah, Wael and Pollak, Alexander and Sheikh, Sofia and Team, ATA , journal =. Technical and observational capabilities of the. 2023 , month =

    2023

  10. [10]

    Lacki and Bryan Brzycki and Steve Croft and Daniel Czech and David DeBoer and Julia DeMarines and Vishal Gajjar and Howard Isaacson and Matt Lebofsky and David H

    Brian C. Lacki and Bryan Brzycki and Steve Croft and Daniel Czech and David DeBoer and Julia DeMarines and Vishal Gajjar and Howard Isaacson and Matt Lebofsky and David H. E. MacMahon and Danny C. Price and Sofia Z. Sheikh and Andrew P. V. Siemion and Jamie Drew and S. Pete Worden , title =. 2021 , month =. doi:10.3847/1538-4365/ac168a , url =

    doi:10.3847/1538-4365/ac168a 2021

  11. [11]

    Matthew Lebofsky and Steve Croft and Andrew P. V. Siemion and Danny C. Price and J. Emilio Enriquez and Howard Isaacson and David H. E. MacMahon and David Anderson and Bryan Brzycki and Jeff Cobb and Daniel Czech and David DeBoer and Julia DeMarines and Jamie Drew and Griffin Foster and Vishal Gajjar and Nectaria Gizani and Greg Hellbourg and Eric J. Korp...

    2019

  12. [12]

    Sheikh and Andrew P

    Akshay Suresh and Vishal Gajjar and Pranav Nagarajan and Sofia Z. Sheikh and Andrew P. V. Siemion and Matt Lebofsky and David H. E. MacMahon and Danny C. Price and Steve Croft , title =. 2023 , month =. doi:10.3847/1538-3881/acccf0 , url =

    doi:10.3847/1538-3881/acccf0 2023

  13. [13]

    Nature Astronomy , volume=

    A deep-learning search for technosignatures from 820 nearby stars , author=. Nature Astronomy , volume=. 2023 , publisher=

    2023

  14. [14]

    Astronomy and Astrophysics Supplement, Vol

    A sensitive method for detecting dispersed radio emission , author=. Astronomy and Astrophysics Supplement, Vol. 15, p. 367 , volume=

  15. [15]

    Emilio Enriquez and Andrew Siemion and Griffin Foster and Vishal Gajjar and Greg Hellbourg and Jack Hickish and Howard Isaacson and Danny C

    J. Emilio Enriquez and Andrew Siemion and Griffin Foster and Vishal Gajjar and Greg Hellbourg and Jack Hickish and Howard Isaacson and Danny C. Price and Steve Croft and David DeBoer and Matt Lebofsky and David H. E. MacMahon and Dan Werthimer , title =. 2017 , month =. doi:10.3847/1538-4357/aa8d1b , url =

    doi:10.3847/1538-4357/aa8d1b 2017

  16. [16]

    Li and Sofia Z

    Megan G. Li and Sofia Z. Sheikh and Christian Gilbertson and Matthias Y. He and Howard Isaacson and Steve Croft and Evan L. Sneed , title =. 2023 , month =. doi:10.3847/1538-3881/acf83d , url =

    doi:10.3847/1538-3881/acf83d 2023

  17. [17]

    and Bower, Geoffrey C

    Welch, Jack and Backer, Don and Blitz, Leo and Bock, Douglas C.-J. and Bower, Geoffrey C. and Cheng, Calvin and Croft, Steve and Dexter, Matt and Engargiola, Greg and Fields, Ed and Forster, James and Gutierrez-Kraybill, Colby and Heiles, Carl and Helfer, Tamara and Jorgensen, Susanne and Keating, Garrett and Lugten, John and MacMahon, Dave and Milgrome, ...

  18. [18]

    Morrison, I. S. and Crosse, B. and Sleap, G. and Wayth, R. B. and Williams, A. and Johnston-Hollitt, M. and Jones, J. and Tingay, S. J. and Walker, M. and Williams, L. , year=. MWAX: A new correlator for the Murchison Widefield Array , volume=. doi:10.1017/pasa.2023.15 , journal=

    doi:10.1017/pasa.2023.15 2023

  19. [19]

    Wright and Shubham Kanodia and Emily Lubar , title =

    Jason T. Wright and Shubham Kanodia and Emily Lubar , title =. 2018 , month =. doi:10.3847/1538-3881/aae099 , url =

    doi:10.3847/1538-3881/aae099 2018

  20. [20]

    Software and Cyberinfrastructure for Astronomy V , volume=

    MeerKAT data distribution network , author=. Software and Cyberinfrastructure for Astronomy V , volume=. 2018 , organization=

    2018

  21. [21]

    2021 , month =

    Houston, Kenneth and Siemion, Andrew and Croft, Steve , title =. 2021 , month =. doi:10.3847/1538-3881/ac052f , url =

    work page doi:10.3847/1538-3881/ac052f 2021

  22. [22]

    Cohen, R. J. and Downs, G. and Emerson, R. and Grimm, M. and Gulkis, S. and Stevens, G. and Tarter, J. , title = ". Monthly Notices of the Royal Astronomical Society , volume =. 1987 , month =. doi:10.1093/mnras/225.3.491 , url =

    doi:10.1093/mnras/225.3.491 1987

  23. [23]

    , keywords =

    Five Years of Project META: an All-Sky Narrow-Band Radio Search for Extraterrestrial Signals. , keywords =. doi:10.1086/173157 , adsurl =

    doi:10.1086/173157

  24. [24]

    1980 , issn =

    A high-sensitivity search for extraterrestrial intelligence at γ18 cm , journal =. 1980 , issn =. doi:https://doi.org/10.1016/0019-1035(80)90251-1 , url =

    work page doi:10.1016/0019-1035(80)90251-1 1980

  25. [25]

    Andrew P. V. Siemion and Paul Demorest and Eric Korpela and Ron J. Maddalena and Dan Werthimer and Jeff Cobb and Andrew W. Howard and Glen Langston and Matt Lebofsky and Geoffrey W. Marcy and Jill Tarter , title =. 2013 , month =. doi:10.1088/0004-637X/767/1/94 , url =

    doi:10.1088/0004-637x/767/1/94 2013

  26. [26]

    Sheikh, Sofia and Farah, Wael and Pollak, Alexander and Team, Allen Telescope Array , journal =. Science. 2023 , month =

    2023

  27. [27]

    S. J. Tingay and C. Tremblay and A. Walsh and R. Urquhart , title =. 2016 , month =. doi:10.3847/2041-8205/827/2/L22 , url =

    doi:10.3847/2041-8205/827/2/l22 2016

  28. [28]

    and Price, Danny C

    Tremblay, Chenoa D. and Price, Danny C. and Tingay, Steven J. , year=. A search for technosignatures toward the Galactic Centre at 150 MHz , volume=. doi:10.1017/pasa.2022.5 , journal=

    doi:10.1017/pasa.2022.5 2022

  29. [29]

    Monthly Notices of the Royal Astronomical Society , volume =

    Wandia, Kelvin and Garrett, Michael A and Radcliffe, Jack F and Garrington, Simon T and Fawcett, James and Gajjar, Vishal and MacMahon, David H E and Varenius, Eskil and Campbell, Robert M and Paragi, Zsolt and Siemion, Andrew P V , title = ". Monthly Notices of the Royal Astronomical Society , volume =. 2023 , month =. doi:10.1093/mnras/stad1151 , url =

    doi:10.1093/mnras/stad1151 2023

  30. [30]

    C. D. Tremblay and S. S. Varghese and J. Hickish and P. B. Demorest and C. Ng and A. P. V. Siemion and D. Czech and R. A. Donnachie and W. Farah and V. Gajjar and M. Lebofsky and D. H. E. MacMahon and T. Myburgh and M. Ruzindana and J. S. Bright and A. Erickson and K. Lacker , title =. 2023 , month =. doi:10.3847/1538-3881/ad0fe0 , url =

    doi:10.3847/1538-3881/ad0fe0 2023

  31. [31]

    Monthly Notices of the Royal Astronomical Society , volume =

    Wlodarczyk-Sroka, B S and Garrett, M A and Siemion, A P V , title = ". Monthly Notices of the Royal Astronomical Society , volume =. 2020 , month =. doi:10.1093/mnras/staa2672 , url =

    doi:10.1093/mnras/staa2672 2020

  32. [32]

    Li and Pavlo Pinchuk and Nathan Myhrvold and Larry Lesyna and Lea E

    Jean-Luc Margot and Megan G. Li and Pavlo Pinchuk and Nathan Myhrvold and Larry Lesyna and Lea E. Alcantara and Megan T. Andrakin and Jeth Arunseangroj and Damien S. Baclet and Madison H. Belk and Zerxes R. Bhadha and Nicholas W. Brandis and Robert E. Carey and Harrison P. Cassar and Sai S. Chava and Calvin Chen and James Chen and Kellen T. Cheng and Ales...

    2023

  33. [33]

    Sheikh and Andrew Siemion and J

    Sofia Z. Sheikh and Andrew Siemion and J. Emilio Enriquez and Danny C. Price and Howard Isaacson and Matt Lebofsky and Vishal Gajjar and Paul Kalas , title =. 2020 , month =. doi:10.3847/1538-3881/ab9361 , url =

    doi:10.3847/1538-3881/ab9361 2020

  34. [34]

    Price and J

    Danny C. Price and J. Emilio Enriquez and Bryan Brzycki and Steve Croft and Daniel Czech and David DeBoer and Julia DeMarines and Griffin Foster and Vishal Gajjar and Nectaria Gizani and Greg Hellbourg and Howard Isaacson and Brian Lacki and Matt Lebofsky and David H. E. MacMahon and Imke de Pater and Andrew P. V. Siemion and Dan Werthimer and James A. Gr...

    doi:10.3847/1538 2020

  35. [35]

    The Astronomical Journal , volume=

    The breakthrough listen search for intelligent life: technosignature search of 97 nearby galaxies , author=. The Astronomical Journal , volume=. 2023 , publisher=

    2023

  36. [36]

    Sheikh and Bryan Brzycki and Sarah Buchner and Steve Croft and David DeBoer and Julia DeMarines and Jamie Drew and Vishal Gajjar and Brian C

    Daniel Czech and Howard Isaacson and Logan Pearce and Tyler Cox and Sofia Z. Sheikh and Bryan Brzycki and Sarah Buchner and Steve Croft and David DeBoer and Julia DeMarines and Jamie Drew and Vishal Gajjar and Brian C. Lacki and Matt Lebofsky and David H. E. MacMahon and Cherry Ng and Imke de Pater and Danny C. Price and Andrew P. V. Siemion and Ruby Van ...

    doi:10.1088/1538-3873/abf329 2021

  37. [37]

    SKA document , year=

    SPEAD: streaming protocol for exchanging astronomical data , author=. SKA document , year=

  38. [38]

    MeerKAT Science: On the Pathway to the SKA , year = 2016, month = jan, eid =

    The MeerKAT Radio Telescope. MeerKAT Science: On the Pathway to the SKA , year = 2016, month = jan, eid =. doi:10.22323/1.277.0001 , adsurl =

    doi:10.22323/1.277.0001 2016

  39. [39]

    , keywords =

    A Scalable Correlator Architecture Based on Modular FPGA Hardware, Reuseable Gateware, and Data Packetization. , keywords =. doi:10.1086/593053 , archivePrefix =. 0809.2266 , primaryClass =

    Pith/arXiv arXiv

  40. [40]

    Journal of Astronomical Instrumentation , keywords =

    A Decade of Developing Radio-Astronomy Instrumentation using CASPER Open-Source Technology. Journal of Astronomical Instrumentation , keywords =. doi:10.1142/S2251171716410014 , archivePrefix =. 1611.01826 , primaryClass =

    Pith/arXiv arXiv

  41. [41]

    Proceedings of the International Astronomical Union , volume=

    MeerTRAP: A pulsar and fast transients survey with MeerKAT , author=. Proceedings of the International Astronomical Union , volume=. 2017 , publisher=

    2017

  42. [42]

    , keywords =

    The MeerKAT telescope as a pulsar facility: System verification and early science results from MeerTime. , keywords =. doi:10.1017/pasa.2020.19 , archivePrefix =. 2005.14366 , primaryClass =

    Pith/arXiv arXiv 2020

  43. [43]

    Monthly Notices of the Royal Astronomical Society , volume=

    First discoveries and localizations of Fast Radio Bursts with MeerTRAP: real-time, commensal MeerKAT survey , author=. Monthly Notices of the Royal Astronomical Society , volume=. 2022 , publisher=

    2022