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Mapping variations of redshift distributions with probability integral transforms

Myles, J; Gruen, D; Amon, A; Alarcon, A; DeRose, J; Everett, S; Dodelson, S; ... Weaverdyck, N; + view all (2023) Mapping variations of redshift distributions with probability integral transforms. Monthly Notices of the Royal Astronomical Society , 519 (2) pp. 1792-1808. 10.1093/mnras/stac3585. Green open access

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Abstract

We present a method for mapping variations between probability distribution functions and apply this method within the context of measuring galaxy redshift distributions from imaging survey data. This method, which we name PITPZ for the probability integral transformations it relies on, uses a difference in curves between distribution functions in an ensemble as a transformation to apply to another distribution function, thus transferring the variation in the ensemble to the latter distribution function. This procedure is broadly applicable to the problem of uncertainty propagation. In the context of redshift distributions, for example, the uncertainty contribution due to certain effects can be studied effectively only in simulations, thus necessitating a transfer of variation measured in simulations to the redshift distributions measured from data. We illustrate the use of PITPZ by using the method to propagate photometric calibration uncertainty to redshift distributions of the Dark Energy Survey Year 3 weak lensing source galaxies. For this test case, we find that PITPZ yields a lensing amplitude uncertainty estimate due to photometric calibration error within 1 per cent of the truth, compared to as much as a 30 per cent underestimate when using traditional methods.

Type: Article
Title: Mapping variations of redshift distributions with probability integral transforms
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/mnras/stac3585
Publisher version: https://doi.org/10.1093/mnras/stac3585
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: : gravitational lensing: weak, methods: numerical, galaxies: distances and redshifts
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10166918
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