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--- tests:collision [2015/08/31 14:16] – gieles
+++ tests:collision [2022/10/24 12:10] (current) – external edit 127.0.0.1
@@ Line 4: / Line 4: @@
 **Working group coordinators:** Mark Gieles, Vincent Henault-Brunet (m.gieles, v.henault-brunet [at] surrey.ac.uk)
+[[:tests:collision:GC4| Gaia Challenge 4 (Stockholm) Collisional systems discussion and results]].
 You will find here some challenges based on data from collisional N-body models. These mock data are designed to mimic collisional systems like star/globular clusters.
-A summary of Gaia Challenge 2 from the Collisional systems working group can be found [[:tests:collision:GC2_archive|here]]. Preliminary results from the first Gaia Challenge workshop in Surrey are [[:tests:collision:GC1_archive|archived here]].
+A summary of Gaia Challenge II from the Collisional systems working group can be found [[:tests:collision:GC2_archive|here]]. Preliminary results from the Gaia Challenge I workshop in Surrey are [[:tests:collision:GC1_archive|archived here]].
-Mock datasets for all challenges from Gaia Challenge 2, can be downloaded [[:tests:collision:mock_data|here]].
+Mock datasets for all challenges can be downloaded [[:tests:collision:mock_data|here]].
 Additional mock datasets and ideas for new challenges are listed [[:tests:collision:new_challenges|here]].
@@ Line 16: / Line 19: @@
-===== Goals/ideas for Gaia Challenge 3 =====
+Ideas and goals for the Gaia Challenge III workshop (Barcelona) are listed [[:tests:collision:GC3|here]].
-===1. Method comparison:===
-Jeans modelling vs. Distribution-function based models for fitting mock data of GCs.
-We will start with $N$-body snapshots of the M4 models by Heggie (2014): http://datashare.is.ed.ac.uk/handle/10283/618
-===2. Understanding Gaia errors:===
-What will Gaia actually give us (for GCs, open clusters, runaway stars, hypervelocity stars)? What can we do with TGAS?
+Throughout the Gaia Challenge I-III workshops, we have tackled four specific challenges:
-===3. Potential escapers:===
+**1. Single mass clusters: the interplay of anisotropy and tides (Zocchi et al. in prep)**
-a) quantify biases from ignoring them
-b) towards self-consistent mixture models with potential escapers
+**2. Clusters with a mass spectrum: testing the validity of multi-mass models (Peuten et al. in prep)**
+**3. Observational biases (Sollima et al. 2015)**
-===4. Rotation:===
+**4. Method comparison: Jeans modelling vs Distribution-function based models**
-include prescription for rotation in multi-mass DF models.
+Many of the challenges make use of LIMEPY ([[http://arxiv.org/abs/1508.02120|Gieles & Zocchi 2015]]) developed in the context of the Gaia Challenge.