Galaxy Zoo 2 (RAS)

Given at the monthly meeting of the Royal Astronomical Society in London on May 10, 2013.

Transcript

1. Galaxy Zoo 2: from clicks to morphologies for 304,122 galaxies in the SDSS Kyle Willett University of Minnesota willett@physics.umn.edu
2. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 2 Hubble (1936)
3. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 3
4. Is the galaxy simply smooth and rounded, with no sign of a disk? Could this be a disk viewed edge-on? Is there a sign of a bar feature through the centre of the galaxy? Is there any sign of a spiral arm pattern? Is there anything odd? How many spiral arms are there? How prominent is the central bulge, compared to the rest of the galaxy? How tightly wound do the spiral arms appear? Does the galaxy have a bulge at its centre? If so, what shape? How rounded is it? Is the odd feature a ring, or is the galaxy disturbed or irregular?
5. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 Sample selection 5 GZ1
6. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 Sample selection 5 GZ1 GZ2 0.005<z<0.25
7. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 Sample selection 5 GZ1 GZ2 0.005<z<0.25
8. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 6 Bamford et al. (2009) Data reduction: modeling and removing bias z=0.03 z=0.08
9. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 7 pbar = 0.40 eg, fbar = 0.20
10. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 1 5+ 3 4 2 Example of GZ2 results: spiral arm multiplicity
11. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 9 GZ2 catalog to be available in SDSS CasJobs DR10 and at http://data.galaxyzoo.org Willett et al. (2013, in prep) 58.7 million clicks -> 304,122 morphological classifications
12. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 10 0.0 0.2 0.4 0.6 0.8 1.0 1.2 tight spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 0.0 0.2 0.4 0.6 0.8 1.0 1.2 tight spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 488 507 565 680 761 694 692 655 356 117 E S0 Sa Sb Sc Sd 0.0 0.2 0.4 0.6 0.8 1.0 1.2 tight spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 EFIGI fraction per bin 185 175 173 203 234 227 224 217 139 41 E S0 Sa Sb Sc Sd 0.0 0.2 0.4 0.6 0.8 1.0 1.2 medium spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 254 597 943 1144 1195 750 466 143 21 2 E S0 Sa Sb Sc Sd 0.0 0.2 0.4 0.6 0.8 1.0 1.2 medium spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 EFIGI fraction per bin 82 245 317 393 373 247 122 36 3 0 E S0 Sa Sb Sc Sd 0.0 0.2 0.4 0.6 0.8 1.0 1.2 loose spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 3222 1041 447 290 183 103 83 55 46 45 E S0 Sa Sb Sc Sd 0.0 0.2 0.4 0.6 0.8 1.0 1.2 loose spiral weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 EFIGI fraction per bin 981 340 190 114 64 43 36 20 16 14 E S0 Sa Sb Sc Sd 0.0 0.2 0.4 0.6 0.8 1.0 1.2 no_bulge weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 0.0 0.2 0.4 0.6 0.8 1.0 1.2 no_bulge weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 5894 583 252 145 87 57 44 28 20 10 E S0 Sa Sb Sc Sd −0. 0. 0. 0. 0. 0. 1. 1. EFIGI fraction per bin 0.0 0.2 0.4 0.6 0.8 1.0 1.2 just_noticeable weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 453 632 785 900 1010 957 948 959 421 55 E S0 Sa Sb Sc Sd −0. 0. 0. 0. 0. 0. 1. 1. EFIGI fraction per bin 0.0 0.2 0.4 0.6 0.8 1.0 1.2 obvious weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 941 867 772 950 1087 1014 820 530 121 18 E S0 Sa Sb Sc Sd −0. 0. 0. 0. 0. 0. 1. 1. EFIGI fraction per bin 0.0 0.2 0.4 0.6 0.8 1.0 1.2 dominant weighted fraction (GZ2) −0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 NA10 fraction per bin 5649 928 296 148 59 31 6 2 1 0 E S0 Sa Sb Sc Sd −0. 0. 0. 0. 0. 0. 1. 1. EFIGI fraction per bin Pitch angle (GZ2) Bulge dominance (GZ2) T-types (expert)
13. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 11 Automated classification and GZ2 GZ2 smooth GZ2 smooth 0.0 0.2 0.4 0.6 0.8 1.0 HC early−type probability 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Relative Frequency GZ2 features/disk GZ2 features/disk 0.0 0.2 0.4 0.6 0.8 1.0 HC late−type probability 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Relative Frequency GZ2 uncertain GZ2 uncertain 0.0 0.2 0.4 0.6 0.8 1.0 HC late−type probability 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Relative Frequency • Automated classifications capable of identifying broad morphology categories • {E, S0, Sab, Scd} Huertas-Company et al. (2011)
14. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 11 Automated classification and GZ2 GZ2 smooth GZ2 smooth 0.0 0.2 0.4 0.6 0.8 1.0 HC early−type probability 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Relative Frequency GZ2 features/disk GZ2 features/disk 0.0 0.2 0.4 0.6 0.8 1.0 HC late−type probability 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Relative Frequency GZ2 uncertain GZ2 uncertain 0.0 0.2 0.4 0.6 0.8 1.0 HC late−type probability 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Relative Frequency • Automated classifications capable of identifying broad morphology categories • {E, S0, Sab, Scd} Huertas-Company et al. (2011) Schawinski et al. (2009)
15. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 12 2,253 4,458 14,034 Experts 304,122 Galaxy Zoo 2 Citizen science 698,420 Automated
16. Kyle Willett - Univ. of Minnesota Royal Astronomical Society - May 2013 13 Galaxy Zoo Galaxy Zoo 2 Galaxy Zoo: Hubble Galaxy Zoo aka GZ1 aka GZ3 aka GZ2 aka GZ4 ~900,000 galaxies from SDSS completed in 2009 catalogs released (Lintott et al. 2011) 30+ publications ~300,000 galaxies from SDSS completed in 2010 catalog release upcoming (Willett et al.) 8 publications ~100,000 ACS images from COSMOS ~50,000 SDSS images 2010 -- 2012 analyzing and reducing data ~50,000 images from CANDELS ~230,000 images from SDSS DR8 2012 -- still collecting classifications