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CMB Balloons (& What Can LiteBIRD Learn) Shaul Hanany University of Minnesota/Twin Cities (with contributions by B. Jones, A. Kogut, & P. deBernardis) 1 Observational Cosmology - University of Minnesota Why Balloons? Balloon: 34 km


  1. CMB Balloons (& What Can LiteBIRD Learn) Shaul Hanany University of Minnesota/Twin Cities (with contributions by B. Jones, A. Kogut, & P. deBernardis) 1 Observational Cosmology - University of Minnesota

  2. Why Balloons? Balloon: 34 km SP: 0.35 mm PWV • Access to (near) space • Test technologies • Train new space scientists Chile: 1 mm PWV • Avoid the atmosphere • Signal attenuation • Noise Balloon: 34 km SP: 0.35 mm PWV Chile: 1 mm PWV 2 Observational Cosmology - University of Minnesota

  3. Why Balloons? • Access to (near) space • Test technologies • Train new space scientists • Avoid the atmosphere • Signal attenuation • Noise • Photon (white) noise Tatm = 270 K • Turbulence (correlated Tatm = 224 K noise @ low frequencies) Tatm = 260 K 3 Observational Cosmology - University of Minnesota

  4. Why Balloons? • Access to (near) space • Test technologies • Train new space scientists • Avoid the atmosphere • Signal attenuation • Noise • Photon (white) noise • Turbulence (low f) ν > 250/300 GHz, all angular scales and ell < 20 at all frequencies 4 Observational Cosmology - University of Minnesota

  5. Balloon Frequency and \ell coverage Fig. modeled after Watts et al. 2015 5 Observational Cosmology - University of Minnesota

  6. Represented here by: Adrian, Ben, Carlo, Hannes, Jacques, Josquin, Julian, Mathieu, Matt, SH, Radek, Tomo

  7. EBEX in a Nutshell • Antarctic long duration • Using ~1000 bolometric TES (+ FDM) • 3 Frequency bands: 150, 250, 410 GHz • Resolution: 8’ at all frequencies • Continuously rotating achromatic half wave plate (Separate talk on Monday) Status • 10 days of data collected in 1/2013 and are being analyzed – 7 Observational Cosmology - University of Minnesota

  8. Optics • 1.5 m aperture Gregorian Dragone telescope (ambient temp.) • Cold aperture stop + 4 polyethylene lenses Cold Stop + AHWP • Achromatic Half wave plate + polarizing grid • Two focal planes for two orthogonal polarization states 8 Observational Cosmology - University of Minnesota

  9. 2013 Flight • Constant elevation, full 360 rotations, + azimuth modulation Celestial • ~6000 sq. deg. constant DEC, non-uniform coverage 150 GHz Depth Nside=64 hits/deg 2 , all bands 3 µK 15 250 GHz Depth Nside=64 410 GHz Depth Nside=64 µK 4.5 31 µK 125 1720 Observational Cosmology - University of Minnesota

  10. 2013 Flight EBEX 250 GHz 54 mK 0 Planck processed as EBEX 25 1 2 7 18 5 11 1 49 2 9 5 1 3 Observational Cosmology - University of Minnesota

  11. Focal Plane + Readout A. Lee, UCB 150 150 250 410 250 3 mm 2.1 mm 150 150 8.6 cm 30 cm Readout Digital FDM (McGill) • x10 lower power than • analog Running in x16 mode • 0.1 mm Observational Cosmology - University of Minnesota

  12. Focal Plane Arrays Big Picture on Yield: • 14 wafers x 140 detectors each = 1960 detectors • We could have operated only 1735 detectors • UCB fabricated >50 wafers • We chose 14 wafers, 1043 ‘known IVs’ • At float, first tune: 955 valid IVs Yield reduction: • Bad wafers • Low yield wafers • Bad detectors • Bad squids, bad wiring • Unusually High noise • One wafer close to saturation – 12 Observational Cosmology - University of Minnesota

  13. Focal Plane Arrays Big Picture on Yield: • 14 wafers x 140 detectors each = 1960 detectors • We could have operated only 1735 detectors • UCB fabricated >50 wafers • We chose 14 wafers, 1043 ‘known IVs’ • At float, first tune: 955 valid IVs Yield reduction: Ø More lead time • Bad wafers Ø Dedicated, high quality fab • Low yield wafers Ø High throughput test + • Bad detectors characterization facility • Bad squids, bad wiring • Unusually High noise • One wafer close to saturation – 13 Observational Cosmology - University of Minnesota

  14. Focal Plane Arrays Big Picture on Yield: • 14 wafers x 140 detectors each = 1960 detectors • We could have operated only 1735 detectors • UCB fabricated >50 wafers • We chose 14 wafers, 1043 ‘known Ivs’ • At float, first tune: 955 valid IVs Yield reduction: • Bad wafers • Low yield wafers • Bad detectors Multiple end-to-end • Bad squids, bad wiring integrations + testing • Unusually High noise • One wafer close to saturation – 14 Observational Cosmology - University of Minnesota

  15. Focal Plane Arrays Big Picture on Yield: • 14 wafers x 140 detectors each = 1960 detectors • We could have operated only 1735 detectors • UCB fabricated >50 wafers • We chose 14 wafers, 1043 ‘known IVs’ • At float, first tune: 955 valid IVs Yield reduction: • Bad wafers • Low yield wafers • Bad detectors Multiple end-to-end • Bad squids, bad wiring integrations + testing • Unusually High noise In full flight configuration • One wafer close to saturation – 15 Observational Cosmology - University of Minnesota

  16. Bolometer Array Performance All 150 • In Flight loading: • Excess load of ~2 pW@150 GHz (~80% abs. efficiency) • Load ~as expected @250 GHz (~75% abs. efficiency) 6 pWatt 2 4 • Load ~as expected @410 GHz (~40% abs. efficiency) All 250 Expected Pre-TES Load 2 4 6 pWatt All 410 520 T(mK) 480 440 2 4 6 pWatt – 16 Observational Cosmology - University of Minnesota

  17. Readout • Developed digital FDM • Running in x16 mode 165 W/crate Ratio of measured to predicted 4 crates electronic noise 1000 Hz 500 0.8 1.0 1.2 Observational Cosmology - University of Minnesota

  18. Readout - Power • ~650 W; x10 lower power compared to analog • But still required active cooling • And consumed significant intellectual effort 165 W/crate o C 4 crates 70 50 30 10 8 m 2 radiators Observational Cosmology - University of Minnesota

  19. Readout - Software/Firmware/Visualization Tuning Algorithm Readout Board manager A balloon platform: • Requires high tuning efficiency • Must accommodate low- to non- TM rate • Has limited computing resources Algorithm Ethernet manager connection Solutions: • Executed tuning automatically with fridge cycles SQL • Stored all tuning parameters on an hardware SQL database on-board Flight map computer • Moved tuning algorithm execution Ground from computer to individual boards tuning request MacDermid Ph.D. Observational Cosmology - University of Minnesota

  20. Readout - Software/Firmware/Visualization Squid page Limited observing time requires rapid data monitoring => data analysis and visualization challenge Solutions: • Developed automated flagging for Each line is a squid. which squids/bolo tunes are Click for output plots successful, or not Bolo page • Web based / easy to use – accessible over internet to entire team Each line is a comb. Click for output plots. Green is: “good IV” This, too, consumed quite a bit of intellectual effort and time Observational Cosmology - University of Minnesota

  21. Primordial Infla-on Polariza-on Explorer (PIPER) PI: Al Kogut (Goddard) Sensi-vity • 5120 TES bolometers: 943@200 GHz; 1550@270 GHz 2270@350 GHz; 3760@600 GHz • 1.5 K opIcs with no windows • NEQ < 2 μK s 1/2 at 200, 270 GHz Systema-cs • ConInuously moving Front-End polarizaIon modulator • Twin telescopes in bucket dewar Foregrounds • Clearly separate dust from CMB Goal: Detect Primordial B-Modes with r < 0.01

  22. PIPER Sky Coverage and Sensi4vity PIPER Sky Coverage: 2 short duraIon flights/year Northern + Southern =~ 80% sky SensiIvity r < 0.007 (2σ)

  23. LSPE (PI: Paolo deBernardis) Two Instruments • STRIP: 44/90 GHz (49/7 horns) • SWIPE: 140/220/240 GHz (110 TES bolometers/frequency band) Angular resolu-on: 1.4 deg Target sensi-vity: 10 muK*arcmin Systema-cs • OMT (STRIP) • Stepped PolarizaIon Modulator • Twin telescopes in bucket dewar Sky Coverage: 20-25%/flight Goal: reioniza-on peak at r ~ 0.01

  24. STRIP SWIPE (PI: M. Bersanelli) (PI: P. deBernardis) Multi-Moded Horns + 8 mm spiders + 50 cm Mo-Au TES Metamaterial (INFN-Genoa) HWP (Frequency Domain Multiplexing)

  25. Launch from Svalbard (Norway) Target ~25% of sky/Flight Or Kiruna (Sweden) 1 st Flight: 12/2017 December: Polar night flight Power = lots of batteries

  26. S PIDER : Suborbital Polarimeter for Inflation, Dust and the Epoch of Reionization (PI: B. Jones, Princeton)

  27. Spider: Overview Pivot Frequencies (GHz) 94 150 Telescopes 3 3 Bandwidth [GHz] 22 36 OpIcal efficiency 30-45% 30-50% Aperture Angular resoluIon * [arcmin] 42 28 Number of detectors † 601 (816) 863 (1488) Sun shield OpIcal background ‡ [pW] ≤ 0.25 ≤ 0.35 Top dome Instrument NET † [μK·rts] 6.0 5.7 Vacuum * FWHM. † Only counIng those currently used in analysis vessel ‡ Including sleeve, window, and baffle Hermetic feedthrough Gondola Sky coverage About 10 % Reaction Scan rate (az, sinusoid) 3.6 deg/s at peak wheel PolarizaIon modulaIon Stepped cryogenic HWP Detector type Antenna-coupled TES SIP MulIpole range 10 < ℓ < 300 ObservaIon Ime 16 days at 36 km Limits on r † 0.03 † Ignoring all foregrounds, at 99% confidence

  28. SPIDER Design Light from Sky 6 identical inserts Stepped HWP Each is single frequency 4 K Lenses Focal Plane Detectors: Detectors Antenna Phase-Array with TES (JPL/Caltech) sub-K refrigerator Readout: Time Domain Mux (Halpern, Canada)

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