tests:streams:results
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| - | ===== 1. Gaia Challenge 2014 ===== | + | ===== 1. Gaia Challenge 2014-2015 ===== |
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| + | ==== Finding streams in the halo ==== | ||
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| + | === Paola Re Fiorentin & Alessandro Spagna === | ||
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| + | We selected all the stream stellar particles within 3 kpc of the Sun from Robyn Sanderson' | ||
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| + | {{ : | ||
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| + | Here, we present the resulting Lxy vs. Lz distribution of the " | ||
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| ====The new Palomar 5 challenge==== | ====The new Palomar 5 challenge==== | ||
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| === Kohei Hattori === | === Kohei Hattori === | ||
| + | [Kohei2015] | ||
| + | I use 50 randomly selected stars (without error) from the leading or trailing streams. | ||
| + | I assumed the correct parameters for disc and bulge potential as well as the correct scale length for the halo potential. | ||
| + | I model the orbital energy distribution in each tail as a Gaussian distribution and | ||
| + | run an emcee code to derive the posterior distribution of $(M/ | ||
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| + | {{: | ||
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| + | The results for $(M/ | ||
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| + | A sample of 50 stars: | ||
| + | {{: | ||
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| + | Another different sample of 50 stars and the histogram of acceleration at Pal5 for this sample: | ||
| + | {{: | ||
| + | {{: | ||
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| + | [Kohei2014] | ||
| I selected in total 200 stars (without error) from the leading or trailing streams. | I selected in total 200 stars (without error) from the leading or trailing streams. | ||
| I assume that the potential is flattened logarithmic potential and fit the data to derive the parameters $(q, | I assume that the potential is flattened logarithmic potential and fit the data to derive the parameters $(q, | ||
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| The red lines show the true values. The black dots and lines are for the error-free data. The green dots and lines are with errors. The blue lines show lines of constant acceleration at r = 4.2, 13, 20 kpc. | The red lines show the true values. The black dots and lines are for the error-free data. The green dots and lines are with errors. The blue lines show lines of constant acceleration at r = 4.2, 13, 20 kpc. | ||
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| + | ===Kohei Hattori=== | ||
| + | [Kohei2015] | ||
| + | I use 50 randomly selected stars (without error) from a single stream. I model the orbital energy distribution in the stream (without distinguishing leading and trailing streams) as a Gaussian distribution and run an emcee code to derive the posterior distribution of $(\log_{10} M/M_\odot, \log_{10} b/{\rm kpc})$. | ||
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| + | Results for Stream #41 | ||
| + | {{: | ||
| + | {{: | ||
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| + | Results for Stream #79 | ||
| + | {{: | ||
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| + | Results for Stream #111 | ||
| + | {{: | ||
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| + | Why b is overestimated in some cases? [e.g., #41] | ||
| + | {{: | ||
| ====Finding streams in the halo challenge==== | ====Finding streams in the halo challenge==== | ||
tests/streams/results.1414760692.txt.gz · Last modified: 2022/10/24 12:26 (external edit)