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COSMIC's Large-Scale Search for Technosignatures during the VLA sky Survey: Survey Description and First Results (2501.17997v1)

Published 29 Jan 2025 in astro-ph.IM

Abstract: Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system. We have built a digital signal processing system and computer cluster on the backend of the Karl G. Jansky Very Large Array (VLA) in New Mexico in order to search for signals throughout the Galaxy consistent with our understanding of artificial radio emissions. In our first paper, we described the system design and software pipelines. In this paper, we describe a postprocessing pipeline to identify persistent sources of interference, filter out false positives, and search for signals not immediately identifiable as anthropogenic radio frequency interference during the VLA Sky Survey. As of 01 September 2024, the Commensal Open-source Multi-mode Interferometric Cluster had observed more than 950,000 unique pointings. This paper presents the strategy we employ when commensally observing during the VLA Sky Survey and a postprocessing strategy for the data collected during the survey. To test this postprocessing pipeline, we searched toward 511 stars from the $Gaia$ catalog with coherent beams. This represents about 30 minutes of observation during VLASS, where we typically observe about 2000 sources per hour in the coherent beamforming mode. We did not detect any unidentifiable signals, setting isotropic power limits ranging from 10${11}$ to 10${16}$W.

Summary

  • The paper presents COSMIC's innovative approach in searching for technosignatures by targeting narrowband signals with doppler drift in a 2–4 GHz range.
  • It employs advanced digital signal processing and the ARTISTIC pipeline to efficiently filter out RFI and isolate candidate signals.
  • Although no definitive extraterrestrial signals were detected, the survey establishes stringent isotropic power limits and informs future SETI strategies.

Overview of COSMIC's Large-Scale Search for Technosignatures

The paper "COSMIC's Large-Scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results" presents an examination of the Commensal Open-source Multi-mode Interferometric Cluster (COSMIC) in its role within the Very Large Array Sky Survey (VLASS) to detect technosignatures. The COSMIC system represents an advanced approach to search for radio signals that may indicate extraterrestrial technology, leveraging the Karl G. Jansky Very Large Array's capabilities for real-time data analysis in a novel manner.

COSMIC System and Methodology

COSMIC operates by integrating an advanced digital signal processing system with a computer cluster attached to the VLA backend. The system utilizes an Ethernet-based digital framework to ensure efficient and autonomous processing of data for detecting technosignatures, specifically focusing on artificial signals characterized by narrowband and doppler drift features. The search targets narrowband signals (∼Hz wide) hypothesized to be transmitted by extraterrestrial intelligence.

The 2023-2024 observational campaign coincides with VLASS, observing the entire northern hemisphere over two years in the VLA B-configuration. The COSMIC system records and processes data on a massive scale, covering almost a million star systems in the frequency range of 2-4 GHz. This extensive coverage is enabled by the coherent beamforming capability of COSMIC, which processes 960 MHz of bandwidth, focusing on the frequency range from 2.5 to 3.5 GHz due to persistent radio frequency interference (RFI) challenges on the band edges.

Postprocessing and Signal Identification

A key aspect of this paper is the development of a sophisticated postprocessing pipeline that handles the vast data output generated by COSMIC. This pipeline, ARTISTIC (Anomaly, RFI, and Technosignature Identification Search and Tabularization In COSMIC), is crucial for filtering out false positives predominantly caused by terrestrial RFI. COSMIC's integration with the RFI identification tool CRICKETS (Categorization of RFI in COSMIC with Kurtosis for Extraterrestrial Searches) allows the system to classify and remove frequency bins dominated by RFI, enhancing the likelihood of detecting genuine technosignatures.

The ARTISTIC pipeline employs several filtering steps, prioritizing signals detected solely in a single coherent beam over those appearing across all beams—a characteristic inconsistency with astronomical sources. The method leverages both statistical filtering (via excess kurtosis for RFI) and signal frequency drift considerations to refine real-time search results, facilitating efficient isolation of promising candidates with minimal human intervention.

Observational Challenges and Implications

The observational strategy faces complexities arising from RFI, especially given the broad frequency spectrum monitored. The innovative ensemble of techniques applied by COSMIC not only underscores the need for precise calibration and RFI mitigation but also illustrates the formidable challenge in distinguishing technosignatures from anthropogenic noise. The calibration processes and quality management are further complicated by the real-time processing requirements, necessitating robust calibration solutions to preserve data fidelity across diverse observational conditions.

At the end of the analysis for selected test data, no unambiguous extraterrestrial signals were detected. Nonetheless, the paper sets significant isotropic power limits, with notable sensitivities capable of detecting signals from technology similar to Earth's Arecibo transmitter if it were located at the distance of the nearest stars.

Future Prospects

The development of COSMIC signifies a major step in the search for technosignatures. Its integration within the VLASS framework capitalizes on expansive sky coverage and represents a highly scalable model for future SETI endeavors leveraging multi-beam interferometric techniques. As the sophistication of postprocessing algorithms like ARTISTIC increases, the potential for breakthroughs in detecting extraterrestrial intelligence communication signals may be realized—prompting the need for ongoing advancements in data processing and RFI management.

Going forward, automating and enhancing the ARTISTIC pipeline, alongside real-time performance optimizations, could significantly reduce the latency between observation and the identification of potential technosignatures. Such developments are critical as data volumes expand, ensuring timely follow-up and collaborative engagements across the fields of astrobiology and radio astronomy.

In summary, this research describes significant progress in crafting a robust and scalable framework for searching for technosignatures amid complex RFI environments. The approaches developed here have potential broad applications in future exploratory and observational missions across the cosmos.

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