Hunting for binary Cepheids using the ``lucky imaging'' technique

Bibcode
2013AN....334..988K
DOI
10.1002/asna.201211977
Klagyivik, P.; Szabados, L.; Szing, A.; Regály, Zs.
Bibliographical reference

Astronomische Nachrichten, Vol.334, Issue 9, p.988

Advertised on:
11
2013
Number of authors
4
IAC number of authors
0
Citations
0
Refereed citations
0
Description
Detecting companions to Cepheids is difficult. In most cases the brightness of the pulsator masks the fainter secondary. Since Cepheids play a key role in determining the cosmic distance scale it is crucial to find binaries among the calibrating stars of the period-luminosity relation. Here we present an ongoing observing project of searching for faint and close companions of Galactic Cepheids using the ``lucky imaging'' technique.
Type
Refereed
Techniques

It may interest you

  • Refereed
    An ultra-short-period super-Earth with an extremely high density and an outer companion
    We present the discovery and characterization of a new multi-planetary system around the Sun-like star K2-360 (EPIC 201595106). K2-360 was first identified in K2 photometry as the host of an ultra-short-period (USP) planet candidate with a period of 0.88 d. We obtained follow-up transit photometry, confirming the star as the host of the signal
    Livingston, John H. et al.

    Advertised on:

    11
    2024
    Bibcode
    2024NatSR..1427219L
    Citations
    0
  • Refereed
    Neural calibration of imaging Stokes polarimeters
    Current polarimetric calibration techniques derive the instrument modulation matrix by numerically fitting an instrumental model to measurements of a set of calibration Stokes vectors. These techniques are typically limited to an error on the retrieved normalized Stokes Q, U and V parameters, in the $1\times10^{-2}$ to $1\times10^{-3}$ range. This
    Iglesias, F. A. et al.

    Advertised on:

    8
    2024
    Bibcode
    2024BAAA...65..281I
    Citations
    0
  • Refereed
    CEERS Key Paper. IX. Identifying Galaxy Mergers in CEERS NIRCam Images Using Random Forests and Convolutional Neural Networks
    A crucial yet challenging task in galaxy evolution studies is the identification of distant merging galaxies, a task that suffers from a variety of issues ranging from telescope sensitivities and limitations to the inherently chaotic morphologies of young galaxies. In this paper, we use random forests and convolutional neural networks to identify
    Rose, Caitlin et al.

    Advertised on:

    11
    2024
    Bibcode
    2024ApJ...976L...8R
    Citations
    0