Publications

This section contains the publications database that collects IAC articles published in scientific journals. Please, click on the arrow to see full search filter and sort options: author, journal, year, etc..

It also provides access to IAC Preprints Repository here: https://research.iac.es/preprints/

  • A survey of IRAS young stellar object candidates. Searching for large-scale Herbig-Haro objects
    Context. Jets and outflows are associated with young stellar objects across the stellar mass spectrum, from brown dwarf protostars to massive Ae/Be stars. Frequently the jet morphology is spatially discontinuous because of the temporal variability of the ejection from the driving source. Images covering a wide field of view around the jet-driving
    López, Rosario et al.

    Advertised on:

    4
    2021
    Citations
    4
  • A super-Earth on a close-in orbit around the M1V star GJ 740. A HADES and CARMENES collaboration
    Context. M-dwarfs have proven to be ideal targets for planetary radial velocity (RV) searches due to their higher planet-star mass contrast, which favors the detection of low-mass planets. The abundance of super-Earth and Earth-like planets detected around this type of star motivates further such research on hosts without reported planetary
    Toledo-Padrón, B. et al.

    Advertised on:

    4
    2021
    Citations
    12
  • A sub-Neptune and a non-transiting Neptune-mass companion unveiled by ESPRESSO around the bright late-F dwarf HD 5278 (TOI-130)
    Context. Transiting sub-Neptune-type planets, with radii approximately between 2 and 4 R ⊕, are of particular interest as their study allows us to gain insight into the formation and evolution of a class of planets that are not found in our Solar System. Aims: We exploit the extreme radial velocity (RV) precision of the ultra-stable echelle
    Sozzetti, A. et al.

    Advertised on:

    4
    2021
    Citations
    29
  • A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
    We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorithm, even with few photometric bands available. As an example, we use the Dark Energy Survey (DES), combined with the COSMOS2015 catalogue for redshifts and stellar masses
    Mucesh, S. et al.

    Advertised on:

    4
    2021
    Citations
    38
  • A low-cost chopping system and uncooled microbolometer array for ground-based astronomy
    Mid-Infrared imaging is vital for the study of a wide variety of astronomical phenomena, including evolved stars, exoplanets, and dust enshrouded processes such as star formation in galaxies. However, infrared detectors have traditionally been expensive and it is difficult to achieve the sensitivity needed to see beyond the overwhelming mid
    Rashman, M. F. et al.

    Advertised on:

    4
    2021
  • A low-cost chopping system and uncooled microbolometer array for ground-based astronomy
    Mid-Infrared imaging is vital for the study of a wide variety of astronomical phenomena, including evolved stars, exoplanets, and dust enshrouded processes such as star formation in galaxies. However, infrared detectors have traditionally been expensive and it is difficult to achieve the sensitivity needed to see beyond the overwhelming mid
    Rashman, M. F. et al.

    Advertised on:

    4
    2021