Results 11 to 20 of about 119 (87)
Classification of Chandra X-Ray Sources in Cygnus OB2 [PDF]
The Astrophysical Journal Supplement Series, 2023 We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects.
Vinay L. Kashyap +13 more
doaj +2 more sources
Bayesian and Machine Learning Methods in the Big Data Era for Astronomical Imaging [PDF]
, 2023 The Atacama large millimeter/submillimeter array with the planned electronic upgrades will deliver an unprecedented number of deep and high resolution observations.
Philipp Arras +6 more
core +4 more sources
A BRAIN Study to Tackle Image Analysis with Artificial Intelligence in the ALMA 2030 Era [PDF]
, 2023 An ESO internal ALMA development study, BRAIN, is addressing the ill-posed inverse problem of synthesis image analysis, employing astrostatistics and astroinformatics.
Jakob Roth +11 more
core +4 more sources
Pylira: deconvolution of images in the presence of Poisson noise [PDF]
, 2022 SciPy 2022 21st Python in Science Conference - Austin, Texas (July 11 - 17, 2022)All physical and astronomical imaging observations are degraded by the finite angular resolution of the camera and telescope systems.
Siemiginowska, Aneta +5 more
core +1 more source
SDSS-IV MaNGA: Unveiling Galaxy Interaction by Merger Stages with Machine Learning [PDF]
, 2023 We use machine-learning techniques to classify galaxy merger stages, which can unveil physical processes that drive the star formation and active galactic nucleus (AGN) activities during galaxy interaction.
Chang, Yu-Yen;Lin, Lihwai;al, Hsi-An Pan et
core +1 more source
Astrostatistics for luminosity calibration in the Gaia era [PDF]
, 2015 With Gaia currently in nominal mission mode and sending data to earth, the challenge for the astronomical community is to prepare for the use of what will be at the time of release one of the largest and most complex astronomical catalogues ever produced.
X. Luri, F. Arenou, E. Masana, M. Palmer
core +1 more source
Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging [PDF]
, 2022 The Atacama Large Millimeter/submillimeter Array with the planned electronic upgrades will deliver an unprecedented amount of deep and high resolution observations.
Arras, Philipp +6 more
core +1 more source
SDSS-RASS: Next Generation of Cluster-Finding Algorithms [PDF]
, 2001 We outline here the next generation of cluster-finding algorithms. We show how advances in Computer Science and Statistics have helped develop robust, fast algorithms for finding clusters of galaxies in large multi-dimensional astronomical databases like
Andrew W Moore (5401907) +37 more
core +1 more source
Statistical methods for astronomical data analysis [PDF]
, 2014 This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader.
Chattopadhyay, Asis Kumar +1 more
core +1 more source
The Astronomical Journal, 2023 Classification of galaxy morphology is a challenging but meaningful task for the enormous amount of data produced by the next-generation telescope.
GuanWen Fang +10 more
doaj +1 more source