Automated data reduction workflows for astronomy [PDF]
12 pages, 7 ...
Freudling, W. +7 more
core +8 more sources
Adaptive data reduction workflows for astronomy: The ESO Data Processing System (EDPS) [PDF]
Context. Astronomical data reduction is usually done via processing pipelines that consist of a series of individual processing steps that can be executed one at a time. These processing steps are then strung together into workflows and fed with data to address a particular processing goal.
W. Freudling +6 more
semanticscholar +5 more sources
Survey of Object-Based Data Reduction Techniques in Observational Astronomy
AbstractDealing with astronomical observations represents one of the most challenging areas of big data analytics. Besides huge variety of data types, dynamics related to continuous data flow from multiple sources, handling enormous volumes of data is essential.
Łukasik Szymon +5 more
doaj +3 more sources
Principles of the data reduction and first results of the fastscanning method for (sub)millimeter astronomy [PDF]
Ground-based astronomical continuum observations at (sub)millimeter wavelengths are especially difficult, because the emission of the atmospheric water vapor is usually much stronger than any astronomical signal. We present here the principles of the data reduction and first results of a new observing method that accounts for the atmospheric emission ...
B. Weferling +3 more
semanticscholar +4 more sources
The ALMA-QUARKS Survey. I. Survey Description and Data Reduction [PDF]
This paper presents an overview of the QUARKS survey, which stands for “Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures.” The QUARKS survey is observing 139 massive clumps covered by 156 pointings
X. Liu 刘 +33 more
semanticscholar +1 more source
Automatic model-based telluric correction for the ESPRESSO data reduction software. Model description and application to radial velocity computation [PDF]
Ground-based high-resolution spectrographs are key instruments for several astrophysical domains. Unfortunately, the observed spectra are contaminated by the Earth's atmosphere.
R. Allart +23 more
semanticscholar +1 more source
Automatic spectroscopic data reduction using BANZAI [PDF]
Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions.
C. McCully +5 more
semanticscholar +1 more source
A Model Estimator for Noisy Compact Emission Recovery in Radio Synthesis Imaging
Reconstruction of a noisy compact emission must consider not only the point-spread function but also the effect of noise. However, the traditional threshold method in widely-used CLEAN-based algorithms finds it difficult to effectively prevent noise in ...
L. Zhang, M. Zhang, B. Wang
doaj +1 more source
The S-PLUS Transient Extension Program: Imaging Pipeline, Transient Identification, and Survey Optimization for Multi-Messenger Astronomy [PDF]
We present the S-PLUS Transient Extension Program (STEP): a supernova and fast transient survey conducted in the southern hemisphere using data from the Southern Photometric Local Universe Survey (S-PLUS) Main Survey and the T80-South telescope ...
A. Santos +11 more
semanticscholar +1 more source
CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results
We present the data release and data reduction process for the Epoch 1 NIRCam observations for the Cosmic Evolution Early Release Science Survey (CEERS). These data consist of NIRCam imaging in six broadband filters (F115W, F150W, F200W, F277W, F356W and
Micaela B. Bagley +39 more
doaj +1 more source

