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Tahereh Ramezani

Publications and source records attributed to Tahereh Ramezani.

6 recordsLinked to original sources

Tidal Tails of Galactic Open Clusters: A Review of Methods, Evidence, and Sources of Disagreement

Tidal tails are a natural consequence of the dynamical evolution of open clusters in the Galactic tidal field, but their observational identification is intrinsically difficult because their surface density is low and the Galactic disc contains a dense and kinematically structured field population. This review paper provides a critical synthesis of the observational and theoretical status of tidal tails of Galactic open clusters and, in particular, assesses how membership definitions, data dimensionality, clustering algorithms, and dynamical assumptions affect reported tail detections. We compare the principal approaches used with Gaia data, including convergent-point and co-moving selection, density-based clustering, probabilistic membership models, machine-learning methods, and orbit/N-body-based filtering. We compile published measurements for a representative sample of nearby clusters and explicitly distinguish robust detections from candidate or method-dependent extended structures. The literature has progressed from detailed studies of a few nearby clusters to systematic searches involving tens to hundreds of systems. The Hyades remains a benchmark because independent analyses recover coherent leading and trailing tails, but the extent and membership of the tails depend on the adopted selection. Large Gaia DR3 studies demonstrate that extended populations are common among nearby and intermediate-age clusters, while also showing that some structures can be produced or exaggerated by projection, field contamination, or the assumptions built into the membership model. Recent homogeneous analyses report tails in most of the nearby clusters in selected samples, but the corresponding catalogues should not be interpreted as equivalent because their completeness, contamination, and physical definitions of a "tail member" differ.

astro-ph.GA

The different methods to calculate cluster membership probabilities

Reliable membership determination is a fundamental step in the study of star clusters. With the advent of $Gaia$ astrometry, a wide range of statistical and machine-learning techniques has been developed to assign membership probabilities. However, the current situation of membership lists is very unsatisfactory. This review summarises the main methodologies, compares their strengths and limitations, and discusses future directions. The aim is to provide a comprehensive overview and to lead to a more efficient and reliable approach for the forthcoming $Gaia$ DR4. Basically, we know of spatial, classical kinematic, and photometric methods, as well as maximum likelihood and Bayesian statistical methods, and machine learning and clustering algorithms. These different methods come with many modifications and flavours. We assessed all the advantages and disadvantages of the known methods to determine cluster membership probabilities. Although nowadays most methods are based on poor statistical numerics, the more robust algorithms should still be taken into account. It is important to apply and compare several methods. The next step must be to define a list of standard star clusters to test and verify all known methods. The list must cover the complete grid of cluster parameters (age, distance, reddening, and metallicity) and total masses.

astro-ph.GA

A Homogeneous Determination of the Interstellar Extinction Law and Metallicity for 105 Galactic Open Clusters

This work presents an investigation of the interstellar extinction law toward 105 Galactic open clusters using ultraviolet-optical photometry. The photometric dataset and reddening determinations were previously introduced in Ramezani et al., (2025); hereafter Paper I, where homogeneous ultraviolet photometry and colour-colour diagrams were used to derive reddening values for the cluster sample. In the present study, we extend that analysis by determining extinction law and metallicity parameters for the same clusters. Ground-based U-band observations obtained with the 2.15-m CASLEO telescope and the 1.54-m Danish telescope are combined with Gaia Data Release 3 photometry to construct ultraviolet-optical colour indices. Using extinction-ratio combinations and the Fitzpatrick, (1999) extinction model, we derive mean total-to-selective extinction law values (RV) for all clusters. The resulting RV values span approximately 2.5-4.5, with a mean value of RV = 3.53, indicating significant spatial variations of dust properties across the Galactic disk and deviations from the canonical diffuse interstellar medium value RV = 3.1. Afterward, by fitting the isochrone to the Colour-Magnitude Diagrams, we estimated the metallicity values of 105 observed clusters. This work provides the first homogeneous catalogue of extinction law measurements based on combined ground-based ultraviolet and Gaia photometry for a large open-cluster sample, establishing an important reference for studies of Galactic dust structure and stellar parameter corrections.

astro-ph.GA

Ultraviolet Photometry and Reddening Estimation of 105 Galactic Open Clusters

This paper focuses on observing unstudied Galactic open clusters in the Ultraviolet (UV) wavelength range and analyzing their photometric data. The Gaia Data Release 3 (DR3) enables us to precisely study known Galactic open clusters. We conducted observations using the 1.54-meter Danish Telescope (DK1.54) in Chile and the 2.15-meter telescope at the Complejo Astronomico El Leoncito (CASLEO) in Argentina, employing UV filters. Furthermore, we have collected available photometric and astrometric data for our observed clusters. We aim to estimate the reddening of Galactic open clusters using UV photometry. We applied isochrone fitting to determine the reddening of the clusters using well-known members. As a final result, we present the reddening values of 105 Galactic open clusters in the UV, as determined by our photometry.

astro-ph.GA

A New Approach to Find the Böhm-Vitense gap

This paper discusses the B{ö}hm-Vitense gap, a gap in the colours of stars that occurs when the atmosphere changes from radiative to convective in deep layers. We are using different algorithms for detecting gaps in colour-magnitude diagrams (CMDs), including the k-nearest neighbours (k-NN) and UniDip algorithms. We propose using a combination of the k-NN algorithm and the UniDip algorithm and manual verification to identify gaps unlikely to be of a statistical origin. Using the $Gaia$ photometric system, i.e. $BP-RP$, we took the data of 130 star clusters and searched for gaps in the ranges of 0.40 to 0.47\,mag, and 0.56 to 0.60\,mag, respectively. We analysed all data statistically and identified the gaps in the individual clusters. Finally, we applied the kernel density estimator to see how the gaps are distributed.

astro-ph.GA

Estimation of radial velocities of BHB stars

We studied blue horizontal branch stars (BHBs), and calculated their radial velocities. Spectra of these stars have been obtained with moderate signal-to-noise ratio for five blue horizontal-branch stars using the 2 meter telescope and Echelle Spectrograph in Ondrejov observatory, Czech republic.

astro-ph.SR