The Herschel Reference Survey

TL;DR

The Herschel Reference Survey is a comprehensive study of dust in 323 nearby galaxies across various types and environments, aiming to understand dust content, composition, and evolution in relation to galaxy properties.

Contribution

This survey provides a statistically complete, volume-limited sample of nearby galaxies with multi-wavelength data, enabling detailed analysis of dust properties and their relation to galaxy characteristics.

Findings

Sample spans all morphological types and environments.

Initial analysis of multi-frequency data reveals diverse dust properties.

The survey establishes a benchmark for future dust studies in the local universe.

Abstract

The Herschel Reference Survey is a guaranteed time Herschel key project and will be a benchmark study of dust in the nearby universe. The survey will complement a number of other Herschel key projects including large cosmological surveys that trace dust in the distant universe. We will use Herschel to produce images of a statistically-complete sample of 323 galaxies at 250, 350 and 500 micron. The sample is volume-limited, containing sources with distances between 15 and 25 Mpc and flux limits in the K-band to minimize the selection effects associated with dust and with young high-mass stars and to introduce a selection in stellar mass. The sample spans the whole range of morphological types (ellipticals to late-type spirals) and environments (from the field to the centre of the Virgo Cluster) and as such will be useful for other purposes than our own. We plan to use the survey to investigate (i) the dust content of galaxies as a function of Hubble type, stellar mass and environment, (ii) the connection between the dust content and composition and the other phases of the interstellar medium and (iii) the origin and evolution of dust in galaxies. In this paper, we describe the goals of the survey, the details of the sample and some of the auxiliary observing programs that we have started to collect complementary data. We also use the available multi-frequency data to carry out an analysis of the statistical properties of the sample.