Observations of the Hubble Deep Field with the Infrared Space Observatory - I. Data reduction, maps and sky coverage
We present deep imaging at 6.7 and 15 mu from the CAM instrument on the Infrared Space Observatory (ISO), centred on the Hubble Deep Field (HDF). These are the...
Observations of the Hubble Deep Field with the Infrared Space Observatory - II. Source detection and photometry
We present positions and fluxes of point sources found in the Infrared Space Observatory (ISO) images of the Hubble Deep Field (HDF) at 6.7 and 15 mu. We have...
Observations of the Hubble Deep Field with the Infrared Space Observatory - III. Source counts and P(D) analysis
We present source counts at 6.7 and 15 μm from our maps of the Hubble Deep Field (HDF) region, reaching 38.6 muJy at 6.7 μm and 255 muJy at 15 mum. These are...
Observations, compositional, and physical characterization of near-Earth and Mars-crosser asteroids from a spectroscopic survey
Aims: We analyse a significantly large sample of spectroscopic data to provide a compositional characterization of the near-Earth asteroid population. We...
Observing the Dark Matter Density Profile of Isolated Galaxies
Using the Sloan Digital Sky Survey (SDSS), we probe the halo mass distribution by studying the velocities of satellites orbiting isolated galaxies. In a...
Optical imaging for the Spitzer Survey of Stellar Structure in Galaxies. Data release and notes on interacting galaxies
Context. The Spitzer Survey for Stellar Structure in Galaxies (S4G) and its more recently approved extension will lead to a set of 3.6 and 4.5 μm images for...
Optimal Filter Systems for Photometric Redshift Estimation
In the coming years, several cosmological surveys will rely on imaging data to estimate the redshift of galaxies, using traditional filter systems with 4-5...
Optimising and comparing source-extraction tools using objective segmentation quality criteria
Context. With the growth of the scale, depth, and resolution of astronomical imaging surveys, there is increased need for highly accurate automated detection...