University of Hertfordshire

From the same journal

By the same authors

Documents

  • stz1752

    Final published version, 4 MB, PDF document

  • M. Soto
  • R. Barbá
  • D. Minniti
  • A. Kunder
  • D. Majaess
  • J. L. Nilo-Castellón
  • J. Alonso-García
  • G. Leone
  • L. Morelli
  • L. Haikala
  • V. Firpo
  • J. P. Emerson
  • C. Moni Bidin
  • D. Geisler
  • R. K. Saito
  • S. Gurovich
  • R. Contreras Ramos
  • M. Rejkuba
  • M. Barbieri
  • A. Roman-Lopes
  • M. Hempel
  • M. V. Alonso
  • L. D. Baravalle
  • J. Borissova
  • R. Kurtev
  • F. Milla
View graph of relations
Original languageEnglish
Number of pages8
Pages (from-to)2650-2657
JournalMonthly Notices of the Royal Astronomical Society,
Journal publication date1 Sep 2019
Volume488
Issue2
Early online date4 Jul 2019
DOIs
Publication statusPublished - 1 Sep 2019

Abstract

An improved high-resolution and deep A$_{Ks}$ foreground dust extinction map is presented for the Galactic disk area within 295< l < 350 degrees, -1.0<b<+1.0 degrees. At some longitudes the map reaches up to $|b|~2.25 degrees, for a total of ~148 sq. deg. The map was constructed via the Rayleigh-Jeans Color Excess (RJCE) technique based on deep near-infrared (NIR) and mid-infrared (MIR) photometry. The new extinction map features a maximum bin size of 1', and relies on NIR observations from the Two Micron All-Sky Survey (2MASS) and new data from ESO's Vista Variables in the Via Lactea (VVV) survey, in concert with MIR observations from the Galactic Legacy Infrared Mid-Plane Survey Extraordinaire (GLIMPSE). The VVV photometry penetrates $\sim$4 magnitudes fainter than 2MASS, and provides enhanced sampling of the underlying stellar populations in this heavily obscured region. Consequently, the new results supersede existing RJCE maps tied solely to brighter photometry, revealing a systematic underestimation of extinction in prior work that was based on shallower data. The new high-resolution and large-scale extinction map presented here is readily available to the community through a web query interface.

ID: 17360333