Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Buckner, Anne S M"'
Observations of clusters suffer from issues such as completeness, projection effects, resolving individual stars and extinction. As such, how accurate are measurements and conclusions are likely to be? Here, we take cluster simulations (Westerlund2-
Externí odkaz:
http://arxiv.org/abs/2310.20413
It remains unclear how galactic environment affects star formation and stellar cluster properties. This is difficult to address in Milky Way-mass galaxy simulations because of limited resolution and less accurate feedback compared to cloud-scale mode
Externí odkaz:
http://arxiv.org/abs/2306.12945
Autor:
Sills, Alison, Rieder, Steven, Buckner, Anne S. M., Hacar, Alvaro, Zwart, Simon Portegies, Teixeira, Paula S.
The earliest evolution of star clusters involves a phase of co-existence of both newly-formed stars, and the gas from which they are forming. Observations of the gas in such regions provide a wealth of data that can inform the simulations which are n
Externí odkaz:
http://arxiv.org/abs/2212.08440
Understanding the formation and evolution of high mass star clusters requires comparisons between theoretical and observational data to be made. Unfortunately, while the full phase space of simulated regions is available, often only partial 2D spatia
Externí odkaz:
http://arxiv.org/abs/2205.03305
The ability to make meaningful comparisons between theoretical and observational data of star-forming regions is key to understanding the star formation process. In this paper we test the performance of INDICATE, a new method to quantify the clusteri
Externí odkaz:
http://arxiv.org/abs/2111.15435
Autor:
Buckner, Anne S. M., Khorrami, Zeinab, González, Marta, Lumsden, Stuart L., Clark, Paul, Moraux, Estelle
Publikováno v:
A&A 659, A72 (2022)
[Context.] Gaia is limited in the optical down to G~21 mag so it is essential to understand the biases introduced by a magnitude-limited sample on spatial distribution studies. [Aims.] We ascertain how sample incompleteness in Gaia observations of yo
Externí odkaz:
http://arxiv.org/abs/2111.11805
Autor:
Khorrami, Zeinab, Langlois, Maud, Clark, Paul C., Vakili, Farrokh, Buckner, Anne S. M., Gonzalez, Marta, Crowther, Paul, Wunsch, Richard, Palous, Jan, Lumsden, Stuart, Moraux, Estelle
We present the sharpest and deepest near infrared photometric analysis of the core of R136, a newly formed massive star cluster at the centre of the 30 Doradus star forming region in the Large Magellanic Cloud. We used the extreme adaptive optics of
Externí odkaz:
http://arxiv.org/abs/2102.05972
Autor:
González, Marta, Joncour, Isabelle, Buckner, Anne S. M., Khorrami, Zeinhab, Moraux, Estelle, Lumsden, Stuart L., Clark, Paul, Oudmaijer, René D., Blanco, José Manuel, de la Calle, Ignacio, Herrera-Fernandez, José María, Salgado, Jesús J., Valero-Martín, Luis, Torres, Zoe, Hacar, Álvaro, Ulla, Ana
Publikováno v:
A&A 647, A14 (2021)
The spatial and dynamical structure of star-forming regions can help provide insights on stellar formation patterns. The amount of data from current and upcoming surveys calls for robust and objective procedures to detect structure, so the results ca
Externí odkaz:
http://arxiv.org/abs/2011.10574
Autor:
Buckner, Anne S. M., Khorrami, Zeinab, Gonzalez, Marta, Lumsden, Stuart L., Moraux, Estelle, Oudmaijer, Rene D., Clark, Paul, Joncour, Isabelle, Blanco, Jose Manuel, de la Calle, Ignacio, Hacar, Alvaro, Herrera-Fernandez, Jose M., Motte, Frederique, Salgado, Jesus, Valero-Martin, Luis
Publikováno v:
A&A 636, A80 (2020)
Aims. To demonstrate that `INDICATE' is a powerful spatial analysis tool which when combined with kinematic data from Gaia DR2 can be used to robustly probe star formation history. Methods. We compared the dynamic & spatial distributions of young ste
Externí odkaz:
http://arxiv.org/abs/2002.12673
Autor:
Khorrami, Zeinab, Khalaj, Pouria, Buckner, Anne S. M., Clark, Paul C., Moraux, Estelle, Lumsden, Stuart, Joncour, Isabelle, Oudmaijer, Rene D., de la Calle, Ignacio, Herrera-Fernandez, Jose M., Motte, Frederique, Blanco, Jose Manuel, Valero-Martin, Luis
We introduce our new code MYOSOTIS (Make Your Own Synthetic ObservaTIonS) which is designed to produce synthetic observations from simulated clusters. The code can synthesise observations from both ground- and spaced-based observatories, for a range
Externí odkaz:
http://arxiv.org/abs/1902.05525