constraints on heating during the era of first galaxies
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Constraints on Heating During the Era of First Galaxies: Recent Results from PAPER Adrian Liu, BCCP Fellow, UC Berkeley ICTP Workshop Take-home points The PAPER instrument does not look like a conventional imaging radio interferometer.


  1. Constraints on Heating During the Era of First Galaxies: Recent Results from PAPER Adrian Liu, BCCP Fellow, UC Berkeley ICTP Workshop

  2. Take-home points • The PAPER instrument does not look like a conventional imaging radio interferometer. Short, redundant baselines provide good sensitivity. • PAPER’s unusual design has led to some unusual analysis techniques, such as redundant baseline calibration and fringe-rate filtering. • Recent PAPER measurements have set scientifically interesting upper limits on the 21cm power spectrum, placing constraints on heating at z = 8.4

  3. The PAPER instrument

  4. Donald C. Backer Precision Array for Probing the Epoch of Reionization (PAPER)

  5. PIs: Parsons, Bradley ¡ Co-PIs: Aguirre, Carilli Ali, Boyd, Chang, Cheng, DeBoer, Dexter, Dillon, Greenberg, Gugliucci, Horrell, Hsyu, Jacobs, Klima, Lacasse, AL , MacMahon, Moore, Parshare, Pober, Stefan, Walbrugh, Zheng

  6. Why does PAPER look the way it does?

  7. k y y c n k z e u q e k x r F

  8. A bright “wedge” appears. These are foreground contaminants Pober et al. (2013)

  9. Foregrounds are bright and dominate the cosmological signal ~100s to 1000s K ~ few mK ?

  10. Foregrounds are expected to be smooth functions of frequency Foregrounds Frequency Cosmological signal Frequency/radial dist

  11. Foregrounds and power spectra θ y k y k x k y k x

  12. Foregrounds are probably localized in Fourier space… Foregrounds here, perhaps?

  13. …but not THAT localized because of subtleties associated with interferometry Pober et al. (2013)

  14. An interferometer builds up a picture of the sky Fourier mode by Fourier mode

  15. Interferometry and power spectra θ y Baseline y θ x k y k x Baseline x k y k y k x k x Image credit: Pober

  16. ~ Baseline time delay

  17. ~ Baseline time delay Time 0 Delay

  18. ~ Baseline time delay

  19. ~ Baseline time delay Time 0 0 Delay Delay Short baseline Long baseline Low k Large k

  20. Foregrounds should appear in a “wedge” Long delays Short delays Short Long baselines baselines

  21. Foregrounds should appear in a “wedge” Long delays AL et al. 2014a,b Short delays Short Long baselines baselines

  22. The foregrounds are dimmer at high k Short Long baselines baselines Pober et al. (2013)

  23. Signal-to-noise is best at low k, but that’s where foregrounds are the worst Low Signal to Noise High Signal to Noise Short Long baselines baselines Pober et al. (2013)

  24. Signal-to-noise is best at low k, but that’s where foregrounds are the worst Short Long baselines baselines Pober et al. (2013)

  25. Signal-to-noise is best at low k, but that’s where foregrounds are the worst Short Long baselines baselines Pober et al. (2013)

  26. Short baselines provide sensitivity while evading foregrounds and allowing novel calibration and analysis techniques

  27. Raw data Identical baselines sample exactly the same modes on the sky and (Noise temp) ~ 1/sqrt(N) P(k) P(k) ~(temp) 2 ~ 1/N

  28. Raw data Baselines see different Fourier components and cannot be combined… P(k) P(k) ~1/sqrt(N)

  29. Some analysis tricks

  30. Short, redundant baselines provide sensitivity, evade foregrounds, and…

  31. …allow for sky-independent calibration ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡6 ¡antennas ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡15 ¡baselines ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡7 ¡unique ¡baselines ¡ ¡ ¡ AL et al. (2010) Parsons, AL et al. (2014) Zheng et al. (2014)

  32. Parsons, AL et al. (2015)

  33. Different fringe-rates in the data correspond to different parts of the sky Parsons, AL et al. (2015)

  34. A careful weighting of fringe-rates allows different parts of the sky to be isolated Parsons, AL et al. (2015)

  35. Foreground systematics can be further mitigated by beam-sculpting Parsons, AL et al. (2015)

  36. Fringe-rate filtering = Optimal mapmaking Parsons, AL et al. (2015)

  37. Latest upper limits from PAPER

  38. Recent upper limits from the PAPER-64 array • 135 days of observation. • Results centered on z ~ 8.4 (151 MHz). • 64 element array. • Drift-scan configuration. • Analysis tricks: • Improved redundant calibration (“omnical”) • Near-optimal quadratic estimators • Fringe-rate filtering

  39. 10 5 10 4 PAPER 64-element Δ 2 (k) [mK 2 ] array: Upper limit of 10 3 (22.4 mK) 2 at 2-sigma in range 10 2 0.15 < k < 0.5 h Mpc -1 10 1 10 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 k [hMpc -1 ] Ali, Parsons, …, AL et al. (2015)

  40. 10 5 GMRT, Paciga MWA-32 et al. (2015) 10 4 Dillon, AL et al. (2014) PAPER 64-element Δ 2 (k) [mK 2 ] array: Upper limit of 10 3 PAPER-32 (22.4 mK) 2 at 2-sigma Parsons, AL et al. (2014) in range 10 2 0.15 < k < 0.5 h Mpc -1 10 1 10 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 k [hMpc -1 ] Ali, Parsons, …, AL et al. (2015)

  41. 10 5 10 4 PAPER 64-element Δ 2 (k) [mK 2 ] array: Upper limit of 10 3 (22.4 mK) 2 at 2-sigma in range 10 2 0.15 < k < 0.5 h Mpc -1 10 1 10 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 k [hMpc -1 ] Ali, Parsons, …, AL et al. (2015)

  42. 10 5 10 4 PAPER 64-element Δ 2 (k) [mK 2 ] array: Upper limit of 10 3 (22.4 mK) 2 at 2-sigma in range 10 2 0.15 < k < 0.5 h Mpc -1 10 1 10 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 k [hMpc -1 ] Ali, Parsons, …, AL et al. (2015)

  43. 10 5 10 4 PAPER 64-element Δ 2 (k) [mK 2 ] array: Upper limit of 10 3 (22.4 mK) 2 at 2-sigma in range 10 2 0.15 < k < 0.5 h Mpc -1 10 1 10 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 k [hMpc -1 ] Ali, Parsons, …, AL et al. (2015)

  44. Pritchard & Loeb (2010)

  45. Pritchard & Loeb (2010)

  46. g n i t a e h e R Pritchard & Loeb (2010)

  47. Reionization g n i t a e h e R Pritchard & Loeb (2010)

  48. Reionization g n i t a e h n e R o i t a z i n o i e R d l N o C o h e Pritchard a t i n & Loeb g (2010)

  49. 
 Reionization Current PAPER limits disfavor “cold reionization” with little heating 
 g n i t a e h n e Parsons, AL et al. 2014, 
 R o i t ApJ 788, 106 a z i n o i e R Ali, Parsons, …, AL et al. 2015, d l N o arxiv: 1502.06016 C o h e Pritchard a t i Pober, Ali, …, AL et al. 2015, n & Loeb g arxiv: 1503.00045 (2010)

  50. Pober et al. (2015)

  51. Pober et al. (2015)

  52. Brighter spin temperatures give dimmer 21cm power spectra Pober et al. (2015)

  53. Extreme neutral fractions give dimmer 21cm power spectra Pober et al. (2015)

  54. Beginning of reionization Middle of reionization End of reionization

  55. For neutral fractions between 30% and 70%, PAPER observations imply T spin > 10 K In contrast, T gas = 1.18 K assuming adiabatic cooling Thus, reheating must have taken place if T gas and T spin are coupled at z = 8.4 Pober, Ali, …, AL et al. 2015, arxiv: 1503.00045

  56. Take-home points • The PAPER instrument does not look like a conventional imaging radio interferometer. Short, redundant baselines provide good sensitivity. • PAPER’s unusual design has led to some unusual analysis techniques, such as redundant baseline calibration and fringe-rate filtering. • Recent PAPER measurements have set scientifically interesting upper limits on the 21cm power spectrum, placing constraints on heating at z = 8.4

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