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Update on the pathchiness of IGM opacity to Lyman- radiation Sarah Bosman University College London George Becker, Martin Haehnelt, Xiaohui Fan, Yoshiki Matsuoka (SHELLQs collaboration ), Sophie Reed (DES-VHS collaboration), Linhua Jiang


  1. Update on the pathchiness of IGM opacity to Lyman- α radiation Sarah Bosman University College London George Becker, Martin Haehnelt, Xiaohui Fan, Yoshiki Matsuoka (SHELLQs collaboration ), Sophie Reed (DES-VHS collaboration), Linhua Jiang (SDSS collaboration)

  2. Probing Reionisation using Lyman- α transmission towards AGN SARAH BOSMAN SAKURA CLAW 2018

  3. Probing Reionisation using Lyman- α transmission towards AGN Full Gunn-Peterson absorption kicks in at z =5.9 Universe is at least 99.9% ionized at z <5.9 in a global-averaged sense Fan+06 SARAH BOSMAN SAKURA CLAW 2018

  4. Probing Reionisation using Lyman- α transmission towards AGN Becker+15 discovers extremely opaque line of sight spanning z =5.5 – 5.85 : Intrinsic ∆ 𝜐 eff at the same redshift much larger than expected from density fluctuations alone! 𝜐 eff = − ln ( < 𝑮 > 50 𝑑Mpc ℎ −1 ) Credit: George Becker SARAH BOSMAN SAKURA CLAW 2018

  5. Three families of models proposed: Rare bright sources Differential timing Varying mean free path of Re⁰ due to temperature of Re⁰ photons due to contribute significantly: AGN, largest galaxies fluctuations: fluctuations of the UV high ρ regions ionize, cool background e.g. Chardin+15, 17 down and recombine first e.g. Davies & Furlanetto 16 e.g. D’Aloisio+15; Keating+17 SARAH BOSMAN SAKURA CLAW 2018

  6. 𝜐 eff Our objective: improve measurements of ▪ Dramatic increase in number of lines of sight: 62 (96) up from 33 -> Grasp on cosmic variance, error bars ▪ Consistent measurement of across all lines of sight 𝜐 eff ▪ Push to z =6.1 ▪ Test biases in a statistical sample (e.g. length of proximity zone, data quality, bin size) SARAH BOSMAN SAKURA CLAW 2018

  7. The catalogue: 62 QSOs at z >5.7 Origin Spectrograph new MagE SHELLQs X-Shooter 3 1 4 9 MMT DES-VHS LBT-MODS 13 FOCAS 18 1 previous 4 studies GMOS 19 3 EFOSC 6 SDSS 13 HIRES 5 ESI archival 21 13 SARAH BOSMAN SAKURA CLAW 2018

  8. Measurement technique ▪ Normalize spectrum by power-law fit to continuum ▪ = – ln (< F >) over fixed comoving window – usually 50 c Mpc ℎ −1 𝜐 eff ▪ Excludes quasar proximity zone, BALs and DLAs ▪ Two bounds depending on treatment of non-detections: 𝜐 eff take = – ln (2 ε ) “real flux just below detection threshold” 𝜐 eff and = ∞ “real F = 0” SARAH BOSMAN SAKURA CLAW 2018

  9. Results ▪ Normalize spectrum by power-law fit to We confirm the huge spread in Lyman- α opacities Opaque ‘tail’ already exists at z =5.2 !! First bounds at z =6.0 SARAH BOSMAN SAKURA CLAW 2018

  10. Consistency with previous work ▪ Normalize spectrum by power-law fit to Our sample contains all quasars from previous B15 study: can check we get the same results All distributions agree with both Fan+06 and Becker+15 within 1σ measured via bootstrap (sub)sampling SARAH BOSMAN SAKURA CLAW 2018

  11. Systematics: proximity zone ▪ Normalize spectrum by power-law fit to Stacks of quasars in redshift bins + individual inspection Choose λ = 1178Å as fixed end of proximity zone SARAH BOSMAN SAKURA CLAW 2018

  12. Systematics: binning size ▪ Normalize spectrum by power-law fit to Repeat using l = 10, 30, 50, 70 c Mpc ℎ −1 l = 10 c Mpc ℎ −1 picks up individual peaks and troughs l > 30 c Mpc 𝒊 −𝟐 necessary SARAH BOSMAN SAKURA CLAW 2018

  13. Systematics: data quality ▪ Normalize spectrum by power-law fit to Pick SILVER and GOLD samples of objects with SNR > 5.3 and SNR > 11.2 (matching previous studies) Only few spectrographs can detect 𝜐 eff > 4 ! SARAH BOSMAN SAKURA CLAW 2018

  14. Comparison with numerical models Rare bright sources Differential timing ‘Null hypothesis’ of Re⁰ due to temperature with constant UV contribute significantly: fluctuations: background: Lines of sight from Chardin+17 Lines of sight from Lines of sight from the Keating+17 Sherwood simulation Bolton+17 The global emissivity in all of these is tuned to match the mean flux !! SARAH BOSMAN SAKURA CLAW 2018

  15. Comparison with numerical models Rare bright sources Differential timing Models don’t work of Re⁰ due to temperature contribute significantly: fluctuations: Rare sources Lines of sight from model does the Chardin+15 Lines of sight from best but still Keating+17 mismatches observations More models being All of these are tuned to match the mean flux !! developed… SARAH BOSMAN SAKURA CLAW 2018

  16. Comparison with numerical models Models don’t work 1 17 7 Mean opacity is a 1 17 7 ‘forced match’ to simulations Spread or skewness is the issue SARAH BOSMAN SAKURA CLAW 2018

  17. Conclusions ▪ Improved measurements of Lyman- α 𝜐 eff ▪ Opaque tail still exists are z = 5.2 … which is a problem ▪ First bounds at z = 6.1 ▪ Discrepancy with numerical models persists / gets worse when considering non- detection bounds ▪ A rare-sources- only (toy) model provides the only decent fit to the data so far… ▪ Future: better radiative transfer, self- shielding… ▪ Implications for observing high-z LAEs ? Thank you!

  18. The catalog 𝜐 eff SARAH BOSMAN SAKURA CLAW 2018

  19. z > 5.7 UKIDS 4% other SDSS 3% 23% PANSTARRS 35% CFHQS 9% VIKING 4% DES-VHS SHELLQs 8% 14% SARAH BOSMAN SAKURA CLAW 2018

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