The dusty heart of Circinus - II. Scrutinizing the LM-band dust morphology using MATISSE

Home

All issues

Volume 678 (October 2023)

A&A, 678 (2023) A136

Full HTML

Open Access

Table 5.

L- and M-band extracted fluxes.

	Image	Reconstruction	Gaussian	Modeling ^(a)
Aperture ^(b)	F_3.7 μm	F_4.7 μm	F_3.7 μm	F_4.7 μm
	[mJy]	[mJy]	[mJy]	[mJy]
D0	3.0 ± 1.7	13.2 ± 3.5	7.0 ± 1.6	28.5 ± 7.8
D_S40		3.5 ± 1.1	≤2.2	3.5 ± 1.1
D_N40		3.8 ± 1.1	≤2.2	3.5 ± 1.1

Notes.

Error estimates contain the contribution from the total flux uncertainty as well as the model uncertainties. Image reconstruction fluxes are typically lower than the Gaussian models because they include background flux and artifacts, which both take away flux from the primary components.

^(a)

L-band fluxes come from the 1+ model and M-band fluxes from the two-component model, but both the one-component and two-component Gaussian models give similar (within 1%) extracted fluxes.

^(b)

Apertures from the N-band analysis that are not listed can be considered to be upper limits (≤2σ_im), with F_3.7 μm ≤ 1.2 mJy and F_4.7 μm ≤ 2.2 mJy.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.