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On the Doorstep of Reionization Judd D. Bowman (Caltech) March 11, 2009 DIY 21 cm cosmology.

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Presentation on theme: "On the Doorstep of Reionization Judd D. Bowman (Caltech) March 11, 2009 DIY 21 cm cosmology."— Presentation transcript:

1 On the Doorstep of Reionization Judd D. Bowman (Caltech) March 11, 2009 DIY 21 cm cosmology

2 1.When was reionization? 2.How long did it last? time Zahn et al. 2007 Each map is 65.6 Mpc h -1 per side

3 Neutral fraction (x HI ) history Furlanetto, Oh, & Briggs 2006 time

4 Global (average) 21 cm signal =21 cm (rest-frame), =1420 MHz At z = 6: =1.5 m, = 200 MHz At z = 13: =3.0 m, = 100 MHz

5 Kinetic CMB Ionized fraction x i = 1 - x HI Mean brightness temperature Spin, T S Pritchard & Loeb 2008

6 Why global 21 cm? Straightforward probe of mean neutral fraction and HI gas temperatures (spin + kinetic) Star formation history, galaxy evolution, early feedback mechanisms, etc. Direct constraint on redshift and duration of reionization “Simpler” than imaging/power spectrum – Average over large solid angle – Signal fills aperture of any antenna – a single dipole is sufficient – Ignore ionospheric distortions – Polarized foregrounds reduced The only feasible probe of the Dark Ages (z>15) IGM for at least the next decade

7 All-sky spectrum 21 cm contribution RFI Instrument bandpass Reionization

8 Challenges Need to separate signal from foregrounds with high dynamic range – Differences in spectral structure less significant for global signal than for fluctuations – Much less information available to help with separation Difficult instrumental problem: – Hard to calibrate absolute response to better than 1% – No empty fields for comparison (on/off target) – Transient RFI changes instrumental response and requires highly linear analog-to-digital sampling – Antenna frequency-dependence difficult to isolate

9 Experiment to Detect the Global EOR Signature (EDGES) With: Alan E. E. Rogers (MIT-Haystack)

10 EDGES: Approach Constrain the derivative of the 21 cm brightness temperature contribution to <1 mK/MHz between 50 and 200 MHz Furlanetto 2006 Frequency derivative Mean brightness temperature

11 EDGES: Approach Advantages of measuring dT 21 /d – Detailed sky model unnecessary: use low-order polynomial to fit foreground component and subtract – Reduces need for absolute calibration – Instrument allowed to introduce smooth spectral structures since they will be fit-out by polynomial – Viable for detecting reionization and Dark Ages absorption feature Drawback – Reduced information return, not full T 21 (z)

12 EDGES: System Overview AEER

13 “Four-point” antenna Ground screen balun Analog electronics enclosures

14 in from antenna to 2 nd stage calibration source 2 nd stage amp dithering noise source to digitizer LNA switch

15 Acqiris DP310: 12-bit, 420 MS/s bandpass filter/ analog electronics voltage supply in from frontend

16 EDGES: Differential Measurement 3-position switch to measure (cycle every 10s): Solve for antenna temperature: (T cal > T L  300 K, T A  250 K, T R  20 K) Calibrates internal spectral structure (except antenna) Limitations: differences between T L and T A produce residuals, comparing measurements from different times

17 EDGES: Site Selection (< 1 mK) Antenna beam pattern: CasA (1400 Jy)  ~50  K

18 Radio frequency interference Annotated by F. Briggs

19 West Forks, Maine (Jan 2009)

20 Murchison Radio-Astronomy Observatory, Boolardy Station, Western Australia It never rains in the desert…

21

22 antenna “The trailer” – receiver

23 Measured spectrum Murchison Radio-Astronomy Observatory (MRO) Boolardy Station, Western Australia Jan 25 – Feb 14, 2009 10 days, 50 sky hours

24 Integration… rms vs. time

25 Bins… rms vs. spectral resolution

26 Characterizing progress Bowman et al. 2008Current 75 mK rms – systematic limited 19 mK rms – thermally limited Green = 100 kHz Black = 2 MHz

27 Constraints on T 21 Fit polynomial + Rapid reionization model w/  z = 0.2 10 nuisance parameters (polynomial coefficients) 1 model parameter  T 21 (21 cm step height)  T 21 < 90 mK Constraints scale linearly with thermal noise 68% 99% reionization model Low-level RFI contamination z=13z=6

28 Constraints on 21 cm derivative Current Integrate to expected systematic limit Integrate + improve bandpass fastest plausible reionization z=13z=6z=25 NOT reionization… absorption

29 Summary Global 21 cm measurements offer direct route to fundamental reionization science (x HI, T S ) and unique opportunity to detect high-redshift 21 cm absorption Faster, cheaper, but not trivial EDGES empirical limits best to date on 21 cm emission (T 21 < 90 mK) and first measurement of low-frequency radio spectrum at ~10 mK level EDGES should do much better in near future

30 The end

31 EDGES: Combined x HI Limits Furlanetto, Oh, & Briggs 2006 Dunkley et al. 2008


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