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The Cosmic Evolution of Fast Radio Bursts Inferred from the CHIME/FRB Baseband Catalog 1

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arxiv 2501.09810 v3 pith:3DJWZFQ5 submitted 2025-01-16 astro-ph.HE astro-ph.COastro-ph.GA

classification astro-ph.HEastro-ph.COastro-ph.GA
keywords evolutionformationfrbsradioburstschimecosmicdistribution
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Redshift and luminosity distributions are essential for understanding the cosmic evolution of extragalactic objects and phenomena, such as galaxies, gamma-ray bursts, and fast radio bursts (FRBs). For FRBs, these distributions are primarily estimated using the fluence and the Dispersion Measure (DM). Calibrating their joint distribution has been challenging due to a lack of accurate fluences in the intensity data of the CHIME/FRB survey. Using the baseband update of CHIME/FRB Catalog 1, we calibrate the 2D fluence-DM distribution for the first time. We find the energy distribution is described well by a Schechter function with power-law slope of $-1.94^{+0.14}_{-0.12}$. Testing two types of redshift evolution models suggests a likely combination of young and old formation channels. $31^{+31}_{-21}$% of FRB sources may track star formation, or correspondingly, FRB sources may have delay times of $1.94^{+1.54}_{-1.31}$ Gyr. A pure star formation tracking population is excluded by only one model at $> 2\sigma$ confidence. An updated cosmic star formation rate density evolution up to redshift 14 is constrained by compiling results from several JWST studies. The furthest FRB detection with planned radio facilities is expected to be at $z \approx 5$. A radio telescope operating at 200 MHz with a system-equivalent flux density of $\leq 0.07$ Jy (equivalent to a detection threshold of 1 mJy ms) and instantaneous sky coverage of $\gtrsim 400$ square degrees should be able to detect $630^{+730}_{-485}$ FRBs year$^{-1}$ at $z \gtrsim 6$ and $53^{+83}_{-43}$ FRBs year$^{-1}$ at $z\gtrsim 8$, which is sufficient to differentiate between reionization histories.

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Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Can repeating and non-repeating FRBs be drawn from the same population?

    astro-ph.HE 2025-06 conditional novelty 7.0 of 10

    FRB sources follow a Zipf-like inverse relation between number density and burst rate, and a single power-law population with index a≈1.1-1.3 can explain the observed repeater fraction, the SGR count ratio, and the cl...

  2. The role of the galaxy stellar mass function in determining the cosmological distribution of astrophysical transients with applications to fast radio bursts and merging binary black holes

    astro-ph.HE 2025-12 conditional novelty 6.0 of 10

    Using the galaxy stellar mass function weighted by observed FRB host masses lowers the relevant stellar-mass density by ~3x, boosting the implied FRB formation efficiency and biasing standard population-inference results.

  3. A Unified Volumetric Rate-Energy Relation from Magnetar Radio Bursts to Fast Radio Bursts

    astro-ph.HE 2025-07 conditional novelty 6.0 of 10

    The volumetric rate of radio bursts from magnetar SGR 1935+2154, repeating FRB 20180916B, and non-repeating CHIME FRBs follows a single power law R ∝ E^-1.31 from 10^29 to 10^42 erg.

  4. Constraining the Faint-End Slope of the FRB Energy Function Using CHIME/FRB Catalog-1 and Local Volume Galaxies

    astro-ph.HE 2025-06 conditional novelty 6.0 of 10

    No CHIME/FRB Catalog-1 burst is associated with 495 local volume galaxies, yielding a 95% upper limit gamma < 2.3 on the faint-end slope of the FRB energy function down to ~3e34 erg.

  5. The Northern Cross Fast Radio Burst project: V. Search for transient radio emission from Galactic magnetars

    astro-ph.HE 2025-05 accept novelty 4.0 of 10

    A 560-hour radio campaign on seven Galactic magnetars found no transient pulses, setting a rate upper limit of less than 52 events per year above 10^28 erg and narrowing the parameter space for magnetar-powered FRB models.

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