2016A&A...590A..66Z


Query : 2016A&A...590A..66Z

2016A&A...590A..66Z - Astronomy and Astrophysics, volume 590A66-66 (2016/6-1)

Method for improving line flux and redshift measurements with narrowband filters.

ZABL J., FREUDLING W., MOLLER P., MILVANG-JENSEN B., NILSSON K.K., FYNBO J.P.U., LE FEVRE O. and TASCA L.A.M.

Abstract (from CDS):

Context. High redshift star-forming galaxies are discovered routinely because of a flux excess in narrowband filters caused by an emission line. In most cases, the width of such filters is broader than typical line widths, and the throughput of the filters varies substantially within the bandpass. This leads to substantial uncertainties in redshifts and fluxes that are derived from the observations with one specific narrowband filter.
Aims. The uncertainty in measured line parameters can be sharply reduced by using repeated observations of the same target field with filters that have overlapping passbands but differ slightly in central wavelength or wavelength dependence of the effective filter curve. Such data are routinely collected with some large field imaging cameras that use multiple detectors and a separate filter for each of the detectors. An example is the European Southern Observatory's VISTA InfraRed CAMera (VIRCAM).
Methods. We developed a method of determining more accurate redshift and line flux estimates from the ratio of apparent fluxes measured from observations in different narrowband filters and several matching broadband filters. A parameterized model of the line and continuum flux is used to predict the flux ratios as a function of redshift based on the known filter curves. These model predictions are then used to determine the most likely redshift and line flux.
Results. We tested the obtainable quality of parameter estimation for the example of Hα in the VIRCAM NB118 filters both on simulated and actual observations where the latter were based on the UltraVISTA DR2 data set. We combined the narrowband data with deep broadband data in Y, J, and H. We find that with this method, the errors in the measured lines fluxes can be reduced up to almost an order of magnitude.
Conclusions. We conclude that existing narrowband data can be used to derive accurate line fluxes if the observations include images taken with sufficiently different filter curves. For the UltraVISTA survey, the best-suited narrowband filter combinations allow an accuracy in wavelength of better than 1nm and in flux of better than 15% at any redshift within the bandpass of the filters. In contrast, analyzing the data without exploiting the difference in filter curves leads to an uncertainty in wavelength of 10nm and up to an order of magnitude errors in line flux estimates.

Abstract Copyright: © ESO, 2016

Journal keyword(s): methods: observational - techniques: photometric - galaxies: photometry - galaxies: distances and redshifts - galaxies: star formation - galaxies: high-redshift

Nomenclature: Tables 4+E.1: [ZFM2016] NNN N=35 among (Nos 7-235).

CDS comments: Table 4 zCOSMOS objects not all in SIMBAD.

Simbad objects: 36

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Number of rows : 36
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 COSMOS2015 767695 rG 10 00 12.437 +02 27 46.27 24.42 24.15 23.51 23.19 22.38 ~ 8 0
2 NAME COSMOS Field reg 10 00 28.60 +02 12 21.0           ~ 3639 0
3 COSMOS2015 804552 rG 10 00 36.51 +02 31 07.1 24.09 23.88 23.18 22.86 21.998 ~ 8 0
4 COSMOS2015 782058 rG 10 00 41.331 +02 29 04.51 23.97 23.76 23.03 22.61 21.629 ~ 15 0
5 COSMOS2015 781986 rG 10 00 41.635 +02 29 02.94 25.78 25.22 23.90 23.15 21.887 ~ 20 0
6 COSMOS 2337455 G 10 00 44.23 +02 32 18.4 25.20 25.07 24.78 24.54 23.99 ~ 6 0
7 COSMOS 1966268 G 10 00 46.93 +02 26 10.8 24.37 24.35 23.89 23.70 22.99 ~ 6 0
8 COSMOS2015 576814 rG 10 01 37.639 +02 10 33.55 26.39 25.93 24.80 24.12 23.08 ~ 7 0
9 COSMOS2015 594537 G 10 01 41.65 +02 12 02.6 23.84 23.81 23.50 23.24 22.61 ~ 6 0
10 COSMOS2015 416074 G 10 01 45.447 +01 55 22.93 23.414 23.25 22.66 22.40 21.599 ~ 10 0
11 COSMOS2015 619206 G 10 01 46.82 +02 14 24.1 25.04 24.87 24.44 24.13 23.58 ~ 4 0
12 COSMOS2015 609663 G 10 01 46.89 +02 13 30.7 23.149 23.15 22.97 22.89 22.60 ~ 4 0
13 COSMOS2015 608599 G 10 01 47.08 +02 13 26.6 24.48 24.35 23.91 23.71 23.20 ~ 4 0
14 COSMOS2015 615440 AGN 10 01 52.731 +02 13 53.70         22.23 ~ 7 0
15 COSMOS2015 637227 EmG 10 01 53.203 +02 15 49.40         22.17 ~ 7 0
16 COSMOS2015 631237 G 10 01 54.27 +02 15 26.8 25.00 24.74 24.18 23.90 23.16 ~ 5 0
17 COSMOS2015 393339 G 10 01 54.353 +01 53 18.34 23.006 22.88 22.48 22.33 21.770 ~ 11 0
18 COSMOS2015 400622 G 10 01 57.96 +01 53 57.6 24.79 24.76 23.90 23.57 22.66 ~ 4 0
19 COSMOS2015 600858 rG 10 02 01.82 +02 12 38.7 24.86 24.65 23.84 23.40 22.44 ~ 10 0
20 COSMOS2015 600132 G 10 02 03.940 +02 12 39.50 23.84 23.77 23.31 23.08 22.52 ~ 10 0
21 COSMOS2015 632368 G 10 02 04.37 +02 15 30.5 23.88 23.90 23.51 23.42 22.79 ~ 4 0
22 COSMOS2015 610690 G 10 02 06.25 +02 13 40.3 24.95 25.05 24.75 24.61 23.98 ~ 7 0
23 ACS-GC 20084152 AGN 10 02 07.65 +02 11 20.1   22.1245 21.5938   21.447 ~ 28 0
24 COSMOS2015 593164 G 10 02 09.62 +02 12 02.5 23.79 23.63 23.15 22.87 22.23 ~ 6 0
25 COSMOS2015 578891 G 10 02 12.73 +02 10 48.0 24.28 24.08 23.52 23.24 22.45 ~ 6 0
26 COSMOS2015 619917 G 10 02 12.96 +02 14 28.4 24.44 24.34 23.79 23.57 22.87 ~ 4 0
27 COSMOS2015 637148 G 10 02 15.09 +02 15 59.5 24.32 24.26 23.85 23.63 22.97 ~ 5 0
28 COSMOS2015 581167 G 10 02 15.18 +02 10 54.4 24.34 24.05 23.27 22.83 21.890 ~ 5 0
29 COSMOS2015 584088 G 10 02 15.98 +02 11 18.8 24.48 24.51 24.23 24.10 23.59 ~ 4 0
30 COSMOS2015 591807 G 10 02 16.34 +02 12 00.3 25.08 24.91 24.42 24.13 23.46 ~ 4 0
31 COSMOS2015 602093 G 10 02 16.70 +02 12 55.2 24.96 24.95 24.75 24.63 24.11 ~ 2 0
32 COSMOS2015 580357 G 10 02 16.98 +02 10 56.0 24.29 24.04 23.52 23.28 22.61 ~ 4 0
33 ACS-GC 20081472 rG 10 02 17.53 +02 12 12.5   22.857 22.422   20.322 ~ 31 0
34 COSMOS2015 615182 EmG 10 02 17.66 +02 14 02.3 23.715 23.61 23.20 22.99 22.47 ~ 7 0
35 COSMOS2015 604826 G 10 02 18.10 +02 13 02.5 25.19 24.77 23.80 23.27 22.186 ~ 5 0
36 COSMOS2015 623130 G 10 02 18.59 +02 14 41.3 23.747 23.68 23.25 23.05 22.41 ~ 6 0

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