We present the results from the 1.2 mm continuum image obtained as part of the ALMA Spectroscopic Survey in the Hubble Ultra Deep Field (ASPECS). The 1.2 mm continuum image has a size of 2.9 (4.2) arcmin2 within a primary beam response of 50% (10%) and a rms value of 9.3μJybeam−1. We detect 35 sources at high significance (Fidelity ≥0.5), 32 of these have well characterized near-infrared HST counterparts. We estimate the 1.2 mm number counts to flux levels of <30μJy in two different ways: we first use the detected sources to constrain the number counts and find a significant flattening of the counts below Sν∼0.1 mJy. In a second approach, we constrain the number counts by using a probability of deflection statistics (P(D)) analysis. For this latter approach, we describe new methods to accurately measure the noise in interferometric imaging (employing jack-knifing in the cube and in the visibility plane). This independent measurement confirms the flattening of the number counts. Our analysis of the differential number counts shows that we are detecting ∼93% (∼100% if we include the lower fidelity detections) of the total continuum dust emission associated to galaxies in the HUDF. The ancillary data allows us to study the dependence of the 1.2 mm number counts on redshift (z=0−4), galaxy dust mass (Mdust=107−109M⊙), stellar mass (M∗=109−1012M⊙), and star-formation rate (SFR=1−1000M⊙yr−1). In an accompanying paper we show that the number counts are crucial to constrain galaxy evolution models and the understanding of star-forming galaxies at high redshift.
@article{arxiv.2002.07199,
title = {The ALMA Spectroscopic Survey in the HUDF: Deep 1.2 mm continuum number counts},
author = {Jorge González-López and Mladen Novak and Roberto Decarli and Fabian Walter and Manuel Aravena and Leindert Boogaard and Gergö Popping and Axel Weiss and Roberto J. Assef and Franz Erik Bauer and Rychard Bouwens and Paulo C. Cortes and Pierre Cox and Emanuele Daddi and Elisabete da Cunha and Tanio Díaz-Santos and Rob Ivison and Benjamin Magnelli and Dominik Riechers and Ian Smail and Paul van der Werf and Jeff Wagg},
journal= {arXiv preprint arXiv:2002.07199},
year = {2020}
}