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星期六, 二月 08, 2014

Todd 2014 自动从image中得到光变曲线的软件HEIDI

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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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星期三, 七月 17, 2013

Sanchez 2013 一个python写的LAT的简化数据分析软件

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叫Enrico

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文章信息:

arXiv:1307.4534 [pdf, other]
Enrico : a Python package to simplify Fermi-LAT analysis
Comments: In Proceedings of the 33rd International Cosmic Ray Conference (ICRC2013), Rio de Janeiro (Brazil)
Subjects: High Energy Astrophysical Phenomena (astro-ph.HE); Instrumentation and Methods for Astrophysics (astro-ph.IM)
With the advent of the Large Array Telescope (LAT) on board the Fermi satellite, a new window on the Universe has been opened. Publicly available, the Fermi-LAT data come together with an analysis software named ScienceTools (ST, this http URL) which can be run through a Python interface. Nevertheless, for the user, the ST can be hard to run and imply several steps. Users already contributed with scripts for a specific task but no tool allowing a complete analysis is currently available.
We present a Python package called {\tt Enrico}, designed to facilitate the data analysis. Using only configuration files and front end tools from the command line, the user can easily perform/reproduce an entire Fermi analysis and make plots for publications. It also include new features like debug plots, pipeline execution on one or several CPUs, downloading of the Fermi data or the generation of a sky model from the Fermi catalogue.
{\tt Enrico} is an open-source project currently available for download at \url{https://github.com/gammapy/enrico}