Miniatura

Fitxers

122286.pdf (1.52 MB)

Tipus de document

Article

Versió

Versió publicada

Data de publicació

2008-01-17

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/205701

A New Wavelet-based Approach for the Automated Treatment of Large Sets of Lunar Occultation Data

Títol de la revista

Autors

Director/Tutor

ISSN de la revista

Títol del volum

Recurs relacionat

https://doi.org/https://doi.org/10.1051/0004-6361:20078987

Resum

Context: The introduction of infrared arrays for lunar occultations (LO) work and the improvement of predictions based on new deep IR catalogues have resulted in a large increase in sensitivity and in the number of observable occultations.Aims: We provide the means for an automated reduction of large sets of LO data. This frees the user from the tedious task of estimating first-guess parameters for the fit of each LO lightcurve. At the end of the process, ready-made plots and statistics enable the user to identify sources that appear to be resolved or binary, and to initiate their detailed interactive analysis.Methods: The pipeline is tailored to array data, including the extraction of the lightcurves from FITS cubes. Because of its robustness and efficiency, the wavelet transform has been chosen to compute the initial guess of the parameters of the lightcurve fit.Results: We illustrate and discuss our automatic reduction pipeline by analyzing a large volume of novel occultation data recorded at Calar Alto Observatory. The automated pipeline package is available from the authors.Algorithm tested with observations collected at Calar Alto Observatory (Spain). Calar Alto is operated by the German-Spanish Astronomical Center (CAHA).

Matèries

Ocultacions, Astrometria, Lluna

Matèries (anglès)

Occultations, Astrometry, Moon

Citació

Col·leccions

Articles publicats en revistes (Física Quàntica i Astrofísica)

Citació

FORS ALDRICH, Octavi, RICHICHI, Andrea, OTAZU PORTER, Xavier, NÚÑEZ DE MURGA, Jorge. A New Wavelet-based Approach for the Automated Treatment of Large Sets of Lunar Occultation Data. _Astronomy & Astrophysics_. 2008. Vol. 480, núm. 1, pàgs. 297-304. [consulta: 24 de gener de 2026]. ISSN: 0004-6361. [Disponible a: https://hdl.handle.net/2445/205701]

Exportar metadades

JSON - METS

Compartir registre