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FRB Line-of-sight Ionization Measurement From Lightcone AAOmega Mapping Survey: the First Data Release

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arxiv 2408.12864 v1 pith:I23SQDMS submitted 2024-08-23 astro-ph.GA

classification astro-ph.GA
keywords datafieldfieldsspectroscopicsurveyaaomegacoveringfirst
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This paper presents the first public data release (DR1) of the FRB Line-of-sight Ionization Measurement From Lightcone AAOmega Mapping (FLIMFLAM) Survey, a wide field spectroscopic survey targeted on the fields of 10 precisely localized Fast Radio Bursts (FRBs). DR1 encompasses spectroscopic data for 10,468 galaxy redshifts across 10 FRBs fields with z<0.4, covering approximately 26 deg^2 of the sky in total. FLIMFLAM is composed of several layers, encompassing the `Wide' (covering ~ degree or >10 Mpc scales), `Narrow', (several-arcminute or ~ Mpc) and integral field unit (`IFU'; ~ arcminute or ~ 100 kpc ) components. The bulk of the data comprise spectroscopy from the 2dF-AAOmega on the 3.9-meter Anglo-Australian Telescope, while most of the Narrow and IFU data was achieved using an ensemble of 8-10-meter class telescopes. We summarize the information on our selected FRB fields, the criteria for target selection, methodologies employed for data reduction, spectral analysis processes, and an overview of our data products. An evaluation of our data reveals an average spectroscopic completeness of 48.43%, with over 80% of the observed targets having secure redshifts. Additionally, we describe our approach on generating angular masks and calculating the target selection functions, setting the stage for the impending reconstruction of the matter density field.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 3 citations worldwide. Full citation record

  1. A Correlation Between FRB Dispersion Measure and Foreground Large-Scale Structure

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

    FRB dispersion measures are positively correlated with foreground galaxy density at 4.2 sigma, and sightlines avoiding halos imply at least 69% of cosmic baryons reside outside virial radii.

  2. A Neural Network Model for the Cosmic Dispersion Measure in the CAMELS Simulations

    astro-ph.CO 2025-01 conditional novelty 6.0 of 10

    A neural network emulator trained on CAMELS simulations predicts FRB dispersion measure distributions and reveals non-monotonic dependence of the scatter parameter F on galaxy feedback parameters.

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