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相关论文: Pipeline Processing of VLBI Data

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We present the design and implementation of an automated data calibration and reduction pipeline for very-long-baseline interferometric (VLBI) observations taken at millimeter wavelengths. These short radio-wavelengths provide the best…

We present our implementation of an automated VLBI data reduction pipeline dedicated to interferometric data imaging and analysis. The pipeline can handle massive VLBI data efficiently which makes it an appropriate tool to investigate…

天体物理仪器与方法 · 物理学 2017-12-07 M. Zhang , A. Collioud , P. Charlot

Written in Python and utilising ParselTongue to interface with the Astronomical Image Processing System (AIPS), the e-MERLIN data reduction pipeline is intended to automate the procedures required in processing and calibrating radio…

天体物理仪器与方法 · 物理学 2015-02-18 Megan Argo

Recent achievements at the EVN MkIV data processor at JIVE include decreasing the read-out time for the whole correlator to 0.25 seconds (or 0.125 s for half the correlator), improving the end quality of user data (e.g., applying an…

天体物理学 · 物理学 2007-05-23 R. M. Campbell

We present the first public release of ShapePipe, an open-source and modular weak-lensing measurement, analysis, and validation pipeline written in Python. We describe the design of the software and justify the choices made. We provide a…

天体物理仪器与方法 · 物理学 2022-08-24 S. Farrens , A. Guinot , M. Kilbinger , T. Liaudat , L. Baumont , X. Jimenez , A. Peel , A. Pujol , M. Schmitz , J. -L. Starck , A. Z. Vitorelli

Traditionally VLBI observations focus on a small patch of sky and image typically a few 100 mas around a bright source, which is often used to self-calibrate the data. High spectral and time resolution is needed to image a larger area, in…

This paper reports on the scientific pipeline for the analysis of the ECLAIRs data of the SVOM mission. We describe the overall procedure, the different steps and the main algorithms of the data analysis for this hard X-ray coded mask…

高能天体物理现象 · 物理学 2026-04-28 A. Goldwurm , P. Bacon , N. Bellemont , F. Cangemi , C. Cavet , A. Coleiro , A. Foisseau , A. Gros , C. Lachaud , S. Le Stum , T. Bouchet , J. Rodriguez , L. Bouchet

We have written a reference manual to use JUDE (Jayant's UVIT data Explorer) data pipeline software for processing and reducing the Ultraviolet Imaging Telescope (UVIT) Level~1 data into event lists and images -- Level~2 data. The JUDE…

天体物理仪器与方法 · 物理学 2020-12-29 P T Rahna , Jayant Murthy , Margarita Safonova

We present VOLKS2, the second release of "VLBI Observation for transient Localization Keen Searcher". The pipeline aims at transient search in regular VLBI observations as well as detection of single pulses from known sources in dedicated…

天体物理仪器与方法 · 物理学 2021-09-29 Lei Liu , Zhijun Xu , Zhen Yan , Weimin Zheng , Yidan Huang , Zhong Chen

The VIMOS VLT Deep Survey (VVDS), designed to measure 150,000 galaxy redshifts, requires a dedicated data reduction and analysis pipeline to process in a timely fashion the large amount of spectroscopic data being produced. This requirement…

One of the most important changes in observational astronomy of the 21st Century is a rapid shift from classical object-by-object observations to extensive automatic surveys. As CCD detectors are getting better and their prices are getting…

天体物理学 · 物理学 2009-11-13 Andrej Prsa , Tomaz Zwitter

Very long baseline interferometry (VLBI) is a powerful technique that can achieve sub-milliarcsecond resolution. However, it requires complex and often manual post-correlation calibration to correct for instrumental, geometric, and…

天体物理仪器与方法 · 物理学 2025-12-01 Diego Álvarez-Ortega , Carolina Casadio , Felix M. Pötzl , Avinash Kumar , Michael Janssen

Optimizing one's observing strategy while at the telescope relies on knowing the current observing conditions and the obtained data quality. In particular the latter is not straight forward with current wide-field imagers, such as the WIYN…

天体物理仪器与方法 · 物理学 2013-10-21 Ralf Kotulla

We present PyWiFeS, a new Python-based data reduction pipeline for the Wide Field Spectrograph (WiFeS). PyWiFeS consists of a series of core data processing routines built on standard scientific Python packages commonly used in astronomical…

天体物理仪器与方法 · 物理学 2013-11-13 Michael J. Childress , Frédéric P. A. Vogt , Jon Nielsen , Robert G. Sharp

Currently, HOPS and AIPS are the primary choices for the time-consuming process of (millimeter) Very Long Baseline Interferometry (VLBI) data calibration. However, for a full end-to-end pipeline, they either lack the ability to perform…

天体物理仪器与方法 · 物理学 2022-06-29 M. Janssen , C. Goddi , H. Falcke , D. van Rossum , I. van Bemmel , M. Kettenis , D. Small , I. Martí-Vidal

Astronomical data reduction is usually done with processing pipelines that consist of a series of individual processing steps that can be executed stand-alone. These processing steps are then strung together into workflows and fed with data…

The European VLBI Network (EVN) is in the process of establishing an e-VLBI array in which the radio telescopes and the EVN correlator at JIVE are connected in real-time, via high-speed national fibre optic networks and the pan-European…

天体物理学 · 物理学 2007-05-23 M. A. Garrett

We describe a versatile pipeline for processing the data collected by the Ultra-Violet Imaging Telescope (UVIT) on board Indian Multi-wavelength astronomical satellite AstroSat.The UVIT instrument carries out simultaneous astronomical…

The HIFI data processing pipeline was developed to systematically process diagnostic, calibration and astronomical observations taken with the HIFI science instrumentas part of the Herschel mission. The HIFI pipeline processed data from all…

天体物理仪器与方法 · 物理学 2019-05-13 K. Edwards , R. F. Shipman , D. Kester , A. Lorenzani , M. Melchior

We describe principal components of the new spectroscopic data pipeline for the multi-object MMT/Magellan Infrared Spectrograph (MMIRS). The pipeline is implemented in IDL and C++. The performance of the data processing algorithms is…

天体物理仪器与方法 · 物理学 2012-12-18 Igor Chilingarian , Warren Brown , Daniel Fabricant , Brian McLeod , John Roll , Andrew Szentgyorgyi
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