Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Connor Stone"'
Publikováno v:
The Astrophysical Journal, Vol 972, Iss 1, p 23 (2024)
The universal rotation curve (URC) of disk galaxies was originally proposed to predict the shape and amplitude of any rotation curve (RC) based solely on photometric data. Here, the URC is investigated with an extensive set of spatially resolved RCs
Externí odkaz:
https://doaj.org/article/9da13fc4ac1c420396bdfa31652890eb
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 270, Iss 2, p 37 (2024)
Externí odkaz:
https://doaj.org/article/744c7aaa16d74081b619dda75e051115
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 262, Iss 1, p 33 (2022)
We present the Photometry and Rotation Curve Observations from Extragalactic Surveys (PROBES) compendium of extended rotation curves for 3163 late-type spirals, with matching homogeneous multiband photometry for 1677 of them. PROBES rotation curves o
Externí odkaz:
https://doaj.org/article/c8b00c3087ef4431b6fde2cef4370bbd
We present a catalogue of dynamical properties for 2368 late-type galaxies from the MaNGA survey. The latter complements the catalogue of photometric properties for the same sample based on deep optical DESI photometry processed with AutoProf. Rotati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a03760233bdf09eaf88fb6ebf553476b
An extensive catalog of spatially-resolved galaxy rotation curves and multi-band optical light profiles for 1752 observed spiral galaxies is assembled to explore the drivers of diversity in galaxy structural parameters, rotation curve shapes, and ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10986d37151a183fd38cde8c36caec1b
http://arxiv.org/abs/2204.02412
http://arxiv.org/abs/2204.02412
Autor:
Nathalie N-Q Ouellette, Stéphane Courteau, Jon A Holtzman, Michael McDonald, Michele Cappellari, Joel C Roediger, Patrick Côté, Julianne J Dalcanton, Elena Dalla Bontà, Laura Ferrarese, R Brent Tully, Connor Stone, Eric W Peng
The ``Spectroscopy and H-band Imaging of Virgo cluster galaxies'' (SHIVir) survey is an optical and near-infrared survey which combines SDSS photometry, deep H-band photometry, and long-slit optical spectroscopy for 190 Virgo cluster galaxies (VCGs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46dd82ef18181df10184e0b682f4058d
Autor:
Michael J Smith, James E Geach, Ryan A Jackson, Nikhil Arora, Connor Stone, Stéphane Courteau
We show that a Denoising Diffusion Probabalistic Model (DDPM), a class of score-based generative model, can be used to produce realistic mock images that mimic observations of galaxies. Our method is tested with Dark Energy Spectroscopic Instrument (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eecf1861a61de2612cc7ddcc1952ba5
http://arxiv.org/abs/2111.01713
http://arxiv.org/abs/2111.01713
Autor:
Nikhil Arora, Andrea V Macciò, Stéphane Courteau, Tobias Buck, Noam I Libeskind, Jenny G Sorce, Chris B Brook, Yehuda Hoffman, Gustavo Yepes, Edoardo Carlesi, Connor Stone
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
Consejo Superior de Investigaciones Científicas (CSIC)
Consejo Superior de Investigaciones Científicas (CSIC)
Recent observational and theoretical studies of the Local Group (LG) dwarf galaxies have highlighted their unique star-formation history, stellar metallicity, gas content, and kinematics. We investigate the commonality of these features by comparing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bcebb81a574523c9e4515ba22ec3095
https://hal.archives-ouvertes.fr/hal-03355833
https://hal.archives-ouvertes.fr/hal-03355833
We present an automated non-parametric light profile extraction pipeline called AutoProf. All steps for extracting surface brightness (SB) profiles are included in AutoProf, allowing streamlined analyses of galaxy images. AutoProf improves upon previ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625cfc76a30fcd542d8d0002edbca608
http://arxiv.org/abs/2106.13809
http://arxiv.org/abs/2106.13809
We present 'Pix2Prof', a deep learning model that can eliminate any manual steps taken when extracting galaxy profiles. We argue that a galaxy profile of any sort is conceptually similar to a natural language image caption. This idea allows us to lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c23b5b49a88e74adecf6e95cf593283
http://arxiv.org/abs/2010.00622
http://arxiv.org/abs/2010.00622