turning ageing inside out
play

Turning ageing inside-out Javier Casado Gmez Currently homeless - PowerPoint PPT Presentation

Turning ageing inside-out Javier Casado Gmez Currently homeless but... Universidad Autnoma de Madrid (UAM) Leibniz institute for Astrophysics Potsdam (AIP) Yago Ascasibar Rubn Garca Benito 2nd SELGIFS Advanced School on


  1. Turning ageing inside-out Javier Casado Gómez Currently homeless but... Universidad Autónoma de Madrid (UAM) Leibniz institute for Astrophysics Potsdam (AIP) Yago Ascasibar Rubén García Benito 2nd SELGIFS Advanced School on Integral-Field Spectroscopy Data Analysis

  2. What is ageing?

  3. What is ageing? LONG STORY SHORT... RED SEQUENCE your favourite color BLUE CLOUD your favourite mass/luminosity indicator

  4. What is ageing? LONG STORY SHORT... RED SEQUENCE your favourite color green valley BLUE CLOUD your favourite mass/luminosity indicator

  5. What is ageing? LONG STORY SHORT... RED SEQUENCE your favourite color green valley BLUE CLOUD your favourite mass/luminosity indicator

  6. What is ageing? LONG STORY SHORT... RED SEQUENCE your favourite color green valley BLUE CLOUD your favourite mass/luminosity indicator

  7. Our own version of the story

  8. Our own version of the story S L O W E R F A S T E R The colour-EW (AGEING) diagram SSFR vs. SSFR Different proxies tracing different timescales

  9. Ageing

  10. Ageing 10 7 yr Ha(EW) (u-r) color 10 8.5 yr TWO PROXIES FOR THE SSFR OTHER PROXIES: BUT WITH DIFFERENT TIME SCALES Mass → Mr Morphology → Galaxy Zoo Environment → R 5 / ȓ

  11. Why do we believe in ageing? Ha(EW) (u-r) color

  12. SLOWER F A All together now! S T E R Ha(EW) (u-r) color

  13. SLOWER F A All together now! S T E R Ha(EW) (u-r) color

  14. What is this guy doing talking about SDSS? This is an IFS school!

  15. What is this guy doing talking about SDSS? This is an IFS school! ◦ Aperture effects → Central and/or brightest parts

  16. What is this guy doing talking about SDSS? This is an IFS school! ◦ Aperture effects → Central and/or brightest parts ◦ IFS data → from 1 to ~2000 points in the color-EW diagram Sb - R 5 / ȓ =2.13 Sab - R 5 / ȓ =1.86 E6 - R 5 / ȓ =1.50 Integrated CALIFA “Nucleus” CALIFA SDSS with SHIFU SDSS MPA-JHU

  17. ONGOING WORK ENVIRONMENT MORPHOLOGY GALAXIES AGE ON RESOLVED SCALES (~1kpc) AND ACROSS THE ENTIRE SYSTEM

  18. WHAT DO I WANT TO DO?

  19. WHAT DO I WANT TO DO? ENVIRONMENT MORE OBJECTS MORPHOLOGY

  20. WHAT DO I WANT TO DO? 24/40 ENVIRONMENT MORE OBJECTS 40 → 82500 galaxies MORPHOLOGY However, 40 X ~2000 ≃ 80000 spectra

  21. WHAT DO I WANT TO DO? 24/40 ENVIRONMENT MORE OBJECTS 40 → 82500 galaxies MORPHOLOGY However, 40 X ~2000 ≃ 80000 spectra COMPLETENESS

  22. WHAT DO I WANT TO DO? DIFFERENT SURVEYS NGC2906

  23. WHAT DO I WANT TO DO? DIFFERENT SURVEYS NGC2906

  24. WHAT DO I WANT TO DO? DIFFERENT SURVEYS NGC2906

  25. WHAT DO I WANT TO DO? DIFFERENT SURVEYS NGC2906

  26. WHAT DO I WANT TO DO? DIFFERENT SURVEYS NGC2906 ? ? Ha(EW) color

  27. WHAT DO I WANT TO DO? ? Ha(EW) OTHER ? ? SSFR D4000 PROXIES H ฀ +/or H ɣ color

  28. WHAT DO I WANT TO DO? BINNED DATA

  29. WHAT DO I WANT TO DO? PREVIOUS PLOTS BINNED DATA

  30. WHAT DO I WANT TO DO? Tools that provide SFR! - Starlight - PIPE3D - PyParadise - STECKMAP And metallicities, SFH... MODELS AND ANCILLARY DATA

  31. WHAT DO I WANT TO DO? Tools that provide Collaborations that SFR! have measured: - Starlight - Masses - PIPE3D - Morphologies - PyParadise - Interaction stage - STECKMAP - Environment And metallicities, AND SFH... COMPLETENESS CRITERIA MODELS AND ANCILLARY DATA

  32. WHAT DO I WANT TO DO? Tools that provide Collaborations that THE SELGIFS DATA CHALLENGE SFR! have measured: - Starlight - Masses - PIPE3D - Morphologies - PyParadise - Interaction stage - STECKMAP - Environment And metallicities, AND SFH... COMPLETENESS CRITERIA MODELS AND ANCILLARY DATA

  33. WHAT DO I WANT TO DO? DIFFERENT MORE SURVEYS OBJECTS BINNED OTHER DATA SSFR PROXIES MODELS AND ANCILLARY DATA

  34. WHY SO PICKY?

  35. WHY SO PICKY?

  36. WHY SO PICKY?

  37. WHY SO PICKY? USE THIS “AGEING” DIAGRAM (OR ANY OTHER VERSION OF IT) AS A DIAGNOSTIC DIAGRAM OF THE EVOLUTIONARY STATE OF THE SYSTEM

  38. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING

  39. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING LOCAL vs. GLOBAL

  40. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING LOCAL vs. GLOBAL AGEING vs. QUENCHING THE TIMESCALES

  41. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING LOCAL vs. GLOBAL AGEING vs. QUENCHING THE TIMESCALES THE ROLE OF SPATIAL (AND SPECTRAL) RESOLUTION

  42. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING LOCAL vs. GLOBAL AGEING vs. QUENCHING THE TIMESCALES THE ROLE OF SPATIAL (AND SPECTRAL) RESOLUTION + THE LOW SIGNAL-TO-NOISE DATA (BaTMAn)

  43. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING LOCAL vs. GLOBAL AGEING vs. QUENCHING THE TIMESCALES THE ROLE OF SPATIAL (AND SPECTRAL) RESOLUTION + THE LOW SIGNAL-TO-NOISE DATA (BaTMAn) THEORY!

  44. WHAT DO I WANT TO KNOW ? UNRAVELING THE MYSTERY OF AGEING LOCAL vs. GLOBAL AGEING vs. QUENCHING THE TIMESCALES THE ROLE OF SPATIAL (AND SPECTRAL) RESOLUTION + THE LOW SIGNAL-TO-NOISE DATA (BaTMAn) THEORY!

  45. thank you!

Recommend


More recommend