Multiwavelength Constraints on the Origin of a Nearby Repeating Fast Radio Burst Source in a Globular Cluster (Public Data Release)
Bibliographic record
Abstract
This Zenodo dataset contains the data for radio bursts B1-B9 from FRB 20200120E, as described in A. B. Pearlman et al., Nature Astronomy (2024) (see: https://doi.org/10.1038/s41550-024-02386-6). The following data products are included: Channelized total intensity (Stokes I) data containing radio bursts B1-B5 from FRB 20200120E, recorded using the Effelsberg radio telescope during Pinpointing Repeating CHIME Sources with the EVN (PRECISE) VLBI observations. These data have a time resolution of 8 μs and were used in Figure 1 in A. B. Pearlman et al., Nature Astronomy (2024). frb20200120e_b1_8us_burst_data.npy frb20200120e_b2_8us_burst_data.npy frb20200120e_b3_8us_burst_data.npy frb20200120e_b4_8us_burst_data.npy frb20200120e_b5_8us_burst_data.npy Channelized total intensity (Stokes I) data containing radio bursts B6-B9 from FRB 20200120E, recorded using the Effelsberg radio telescope. These data have a time resolution of 64 μs and were used in Figure 1 in A. B. Pearlman et al., Nature Astronomy (2024). frb20200120e_b6_64us_burst_data.npz frb20200120e_b7_64us_burst_data.npz frb20200120e_b8_64us_burst_data.npz frb20200120e_b9_64us_burst_data.npz Frequency-summed total intensity (Stokes I) burst profiles of radio burst B4. The frequency range and time resolution of the data are listed below. These data were used in Extended Data Figure 2 (panels b, c, and d) in A. B. Pearlman et al., Nature Astronomy (2024). frb20200120e_b4_8us_1254-1510mhz_burst_profile.npz; (frequency range, time resolution) = (1254-1510 MHz, 8 μs) frb20200120e_b4_1us_1302-1478mhz_burst_profile.npy; (frequency range, time resolution) = (1302-1478 MHz, 1 μs) frb20200120e_b4_31.25ns_1398-1414mhz_burst_profile.npy; (frequency range, time resolution) = (1398-1414 MHz, 31.25 ns) We also provide the following Python code containing functions that can be used to load and plot the radio data. The plots generated by this code are similar to those shown in Figure 1 and Extended Data Figure 2 (panels b, c, and d) in A. B. Pearlman et al., Nature Astronomy (2024). plot_frb20200120e_radio_data_pearlman+2024_nature_astronomy.py The X-ray data (from NICER, XMM-Newton, Chandra, and NuSTAR) used in A. B. Pearlman et al., Nature Astronomy (2024) are publicly available and can be accessed through NASA's High Energy Astrophysics Science Archive Research Center (HEASARC) archive. If the data or Python code included in this Zenodo repository are used, please include the following two citations in your work: Pearlman, A. B., Scholz, P., Bethapudi, S. et al. Multiwavelength constraints on the origin of a nearby repeating fast radio burst source in a globular cluster. Nature Astronomy (2024). https://doi.org/10.1038/s41550-024-02386-6 Pearlman, A. B., Scholz, P., Bethapudi, S. et al. Multiwavelength constraints on the origin of a nearby repeating fast radio burst source in a globular cluster (public data release). Zenodo (2024). https://doi.org/10.5281/zenodo.13359005 If you have questions about the contents of this Zenodo repository, please contact the lead author: Dr. Aaron B. Pearlman (aaron.b.pearlman@physics.mcgill.ca)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.019 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".