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- · arXiv e-print (arXiv:1401.2593)
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Title: |
| HEIDI: An Automated Process for the Identification and Extraction of Photometric Light Curves from Astronomical Images |
Authors: |
| Todd, M.; Wallon Pizarro, H. U.; Tanga, P.; Coward, D. M.; Zadnik, M. G. |
Publication: |
| eprint arXiv:1401.2593 |
Publication Date: |
| 01/2014 |
Origin: |
| ARXIV |
Keywords: |
| Astrophysics - Instrumentation and Methods for Astrophysics |
Comment: |
| 6 pages, 6 figures, submitted to MNRAS |
Bibliographic Code: |
| 2014arXiv1401.2593T |
Abstract
The production of photometric light curves
from astronomical images is a
very time-consuming task. Larger data sets improve the resolution of the
light curve, however, the time requirement scales with data volume. The
data analysis is often made more difficult by factors such as a lack of
suitable calibration sources and the need to correct for variations in
observing conditions from one image to another. Often these variations
are unpredictable and corrections are based on experience and intuition.
The High Efficiency Image Detection & Identification (HEIDI)
pipeline software rapidly processes sets of astronomical images. HEIDI
automatically selects multiple sources for calibrating the images using
an algorithm that provides a reliable means of correcting for variations
between images in a time series. The algorithm takes into account that
some sources may intrinsically vary on short time scales and excludes
these from being used as calibration sources. HEIDI processes a set of
images from an entire night of observation, analyses the variations in
brightness of the target objects and produces a light curve all in a
matter of minutes. HEIDI has been tested on three different time series
of asteroid 939 Isberga and has produced consistent high quality
photometric light curves in a fraction of the usual processing time. The
software can also be used for other transient sources, e.g.
gamma-ray
burst optical afterglows. HEIDI is implemented in Python and processes
time series astronomical images with minimal user interaction. HEIDI
processes up to 1000 images per run in the standard configuration. This
limit can be easily increased. HEIDI is not telescope-dependent and will
process images even in the case that no telescope specifications are
provided. HEIDI has been tested on various Linux
. HEIDI is very
portable and extremely versatile with minimal hardware requirements.
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