1. Working
   1. Generalized King profile (ell, theta)
   2. pyUPMASK membership
2. Participating
   1. 32 Rain clusters
   2. Wilton project
3. Future projects
   1. NGC2516
   2. Blue stragglers model
   3. Binary systems probabilities
   4. GAIA1
   5. Eight (?) new Gaia clusters
   6. Comparision between CMD distances
4. Doubtful
   1. 269 Gaia clusters
   2. AD test for catalogued clusters
   3. Four NGC clusters
   4. Five clusters
   5. Clusters around TR24
   6. Five embedded cluster
   7. 13 frames used in my PhD
   8. 4 GCs
5. Done
   1. Distant clusters (2022)
   2. pyUPMASK (2021)
   3. Sixteen clusters (2020)

Process the clusters in the Cantat-Gaudin (2020) database, fitting a 4-parameter generalized King profile to each, using the Bayesian implementation in ASteCA.

Process as many clusters as possible with pyUPMASK to generate a new database of most probable members.

Binary analysis for 32 open clusters

Analysis of ~1500 clusters with Dias et al.

Estimate the mass and binary fraction, mass ratio, etc.

Test the performance of ASteCA on clusters with bonafide BSS populations, after incorporating the BSS model from Xin et al. (2011)

Analyze several clusters with the code that identifies binary systems and give an estimate of the probability of binary fraction with mass, and the distribution of q.

Analysis of the GAIA1 cluster with Gaia EDR3 data.

Process the eight (include GAIA3 and GAIA8?) new clusters found in recent studies.

Compare several distribution distances to see which one better recovers the true parameters of synthetic clusters.

Process the 269 clusters studied in Bossini et al (2019) with ASteCA to compare the ages, extinction, and distances they obtained using BASE-9.

Apply the AD test to the largest possible list of catalogued clusters. Assign classification, and estimate a coarse parallax distance.

Analyze the IMF of the four clusters: NGC2571, NGC6242, NGC2660, NGC2509

Analyze the five Clusters: HAF14, RUP41, RUP42, RUP44, RUP152.

Analysis of these four clusters located around Trumpler 24: NGC6242, Lynga13, NGC6192, Lynga14.

Analyze the five embedded clusters: DBS5, DBS60, DBS98, DBS116, DBS117.

• Cross-match with Gaia DR2 (Bailer-Jones catalogue) to add parallax distances and (ra, dec) coordinates
• Add E_BV estimates with http://argonaut.skymaps.info/
• Use the isochrones package to assign z, log(age) Article that applied the isochrones package Bochanski et al. (2018)
• The StarHorse, Queiroz et al. (2018) package estimates "masses, ages, distances, and extinctions for field stars".
• The method presented in Green et al. (2020) also does what StarHorse does but empirically.
• Stellar Parameter Determination from Photometry using Invertible Neural Networks, Ksoll et al. (2020). Might be useful
• The brutus package https://github.com/joshspeagle/brutus can be used to fit individual sources

Four large globular clusters with DECam data

Analysis of the distance to clusters with catalogued distances lager than 9 Kpc

Development of a new membership probabilities method based on the UPMASK algorithm.

Analysis of sixteen clusters