Issue |
A&A
Volume 684, April 2024
|
|
---|---|---|
Article Number | A61 | |
Number of page(s) | 14 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202348513 | |
Published online | 04 April 2024 |
The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
1
Centro de Estudios de Física del Cosmos de Aragón (CEFCA), Unidad Asociada al CSIC,
Plaza San Juan, 1,
44001
Teruel,
Spain
e-mail: ahernan@cefca.es
2
Tartu Observatory, University of Tartu,
Observatooriumi 1,
61602
Tõravere,
Estonia
3
Centro de Estudios de Física del Cosmos de Aragón (CEFCA),
Plaza San Juan, 1,
44001
Teruel,
Spain
4
Department of Physics, University of Helsinki,
Gustaf H allstr omin katu 2,
00014
Helsinki,
Finland
5
Institut de Física d’Altes Energies, The Barcelona Institute of Science and Technology,
Campus UAB,
08193
Bellaterra (Barcelona),
Spain
6
Instituto de Física de Cantabria (Consejo Superior de Investi-gaciones Científicas – Universidad de Cantabria),
Avda. de los Castros,
39005,
Santander,
Spain
7
Unidad Asociada “Grupo de astrofísica extragaláctica y cos-mología” (IFCA – Universitat de València),
Parc Científic UV,
46980,
Paterna,
Spain
8
Instituto de Astrofísica de Andalucía (CSIC),
PO Box 3004,
18080
Granada,
Spain
9
Departamento de Astrofísica, Universidad de La Laguna,
38206,
La Laguna,
Tenerife,
Spain
10
Instituto de Astrofísica de Canarias,
38200
La Laguna,
Tenerife,
Spain
11
Universidade de São Paulo, Instituto de Astronomia, Geofísica e Ciências Atmosféricas,
Rua do Matão 1226,
05508-090
São Paulo,
Brazil
12
Observatório Nacional, Ministério da Ciência, Tecnologia, Inovação e Comunicações,
Rua General José Cristino, 77,
São Cristóvão,
20921-400
Rio de Janeiro,
Brazil
13
Observatório do Valongo, Universidade Federal do Rio de Janeiro,
Ladeira do Pedro Antônio 43,
Rio de Janeiro,
RJ
20080-090,
Brazil
14
Núcleo de Astrofísica e Cosmologia & Departamento de Física, Universidade Federal do Espírito Santo,
29075-910,
Vitória,
ES,
Brazil
15
INAF – Osservatorio Astronomico di Trieste,
via Tiepolo 11,
34131
Trieste,
Italy
16
IFPU – Institute for Fundamental Physics of the Universe,
via Beirut 2,
34151
Trieste,
Italy
17
Instituto de Física, Universidade de São Paulo,
Rua do Matão 1371,
CEP 05508-090,
São Paulo,
Brazil
18
Donostia International Physics Centre,
Paseo Manuel de Lardizabal 4,
20018
Donostia-San Sebastian,
Spain
19
Ikerbasque, Basque Foundation for Science,
48013
Bilbao,
Spain
20
Instituto de Física, Universidade Federal da Bahia,
40210-340,
Salvador,
BA,
Brazil
21
Department of Astronomy, University of Michigan,
311 West Hall, 1085 South University Ave.,
Ann Arbor,
USA
22
Department of Physics and Astronomy, University of Alabama,
Box 870324,
Tuscaloosa,
AL,
USA
23
Departamento de Astronomia, Instituto de Astronomia, Geofísica e Ciências Atmosféricas da USP, Cidade Universitária,
05508-900,
São Paulo,
SP,
Brazil
24
Instruments4,
4121 Pembury Place,
La Cañada-Flintridge,
CA
91011,
USA
Received:
6
November
2023
Accepted:
29
January
2024
We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of the redshift probability distributions (PDZs) obtained independently from each survey. The conflation of the PDZs has several advantages over the usual method of modelling all the photometry together, including the modularity, speed, and accuracy of the results. Using a sample of galaxies with narrow-band photometry in 56 bands from J-PAS and deeper grίzy photometry from the Hyper-SuprimeCam Subaru Strategic program (HSC-SSP), we show that PDZ conflation significantly improves photo-z accuracy compared to fitting all the photometry or using a weighted average of point estimates. The improvement over J-PAS alone is particularly strong for i≳22 sources, which have low signal-to-noise ratios in the J-PAS bands. For the entire i<22.5 sample, we obtain a 64% (45%) increase in the number of sources with redshift errors |Δz|<0.003, a factor of 3.3 (1.9) decrease in the normalised median absolute deviation of the errors (σNMAD), and a factor of 3.2 (1.3) decrease in the outlier rate (η) compared to J-PAS (HSC-SSP) alone. The photo-z accuracy gains from combining the PDZs of J-PAS with a deeper broad-band survey such as HSC-SSP are equivalent to increasing the depth of J-PAS observations by ~ 1.2–1.5 mag. These results demonstrate the potential of PDZ conflation and highlight the importance of including the full PDZs in photo-z catalogues.
Key words: methods: data analysis / techniques: photometric / surveys / galaxies: distances and redshifts
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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