@misc{molaro2021effect,
  abstract = {We use the Sherwood-Relics suite of hybrid hydrodynamical and radiative
transfer simulations to model the effect of inhomogeneous reionisation on the
1D power spectrum of the Lyman-$\alpha$ forest transmitted flux at redshifts
$4.2\leq z \leq 5$. Relative to models that assume a homogeneous UV background,
reionisation suppresses the power spectrum at small scales, $k \sim
0.1\rm\,km^{-1}\,s$, by $\sim 10$ per cent because of spatial variations in the
thermal broadening kernel and the divergent peculiar velocity field associated
with over-pressurised intergalactic gas. On larger scales,
$k<0.03\rm\,km^{-1}\,s$, the power spectrum is instead enhanced by $10$-$50$
per cent by large scale spatial variations in the neutral hydrogen fraction.
The effect of inhomogeneous reionisation must therefore be accounted for in
analyses of forthcoming high precision measurements. We provide a correction
for the Lyman-$\alpha$ forest power spectrum at $4.1\leq z \leq 5.4$ in a form
that can be easily applied within other parameter inference frameworks. We
perform a Bayesian analysis of mock data to assess the extent of systematic
biases that may arise in measurements of the intergalactic medium if ignoring
this correction. At the scales probed by current high resolution Lyman-$\alpha$
forest data at $z>4$, $0.006 \rm \,km^{-1}\,s\leq k \leq 0.2 \rm\, km^{-1}\,s$,
we find inhomogeneous reionisation does not introduce any significant bias in
thermal parameter recovery for the current measurement uncertainties of $\sim
10$ per cent. However, for $5$ per cent uncertainties, $\sim 1\sigma$ shifts
between the estimated and true parameters occur.},
  added-at = {2021-09-16T08:27:31.000+0200},
  author = {Molaro, Margherita and Iršič, Vid and Bolton, James S. and Keating, Laura C. and Puchwein, Ewald and Gaikwad, Prakash and Haehnelt, Martin G. and Kulkarni, Girish and Viel, Matteo},
  biburl = {https://www.bibsonomy.org/bibtex/25dfe3779bad9079cfa5f567b41bd542f/gpkulkarni},
  description = {The effect of inhomogeneous reionisation on the Lyman-$\alpha$ forest power spectrum at redshift $z>4$: implications for thermal parameter recovery},
  interhash = {aba7e6f86b4053e78eb6b9381575dee4},
  intrahash = {5dfe3779bad9079cfa5f567b41bd542f},
  keywords = {library},
  note = {cite arxiv:2109.06897Comment: 20 pages, 11 figures, Submitted to MNRAS, Comments welcome},
  timestamp = {2021-09-16T08:27:31.000+0200},
  title = {The effect of inhomogeneous reionisation on the Lyman-$\alpha$ forest
  power spectrum at redshift $z>4$: implications for thermal parameter recovery},
  url = {http://arxiv.org/abs/2109.06897},
  year = 2021
}

{"_id":"CGRBqGPtHpEK3BzRQ","bibbaseid":"molaro-iri-bolton-keating-puchwein-gaikwad-haehnelt-kulkarni-etal-theeffectofinhomogeneousreionisationonthelymanforestpowerspectrumatredshiftz4implicationsforthermalparameterrecovery-2021","author_short":["Molaro, M.","Iršič, V.","Bolton, J. S.","Keating, L. C.","Puchwein, E.","Gaikwad, P.","Haehnelt, M. G.","Kulkarni, G.","Viel, M."],"bibdata":{"bibtype":"misc","type":"misc","abstract":"We use the Sherwood-Relics suite of hybrid hydrodynamical and radiative transfer simulations to model the effect of inhomogeneous reionisation on the 1D power spectrum of the Lyman-$α$ forest transmitted flux at redshifts $4.2≤ z ≤ 5$. Relative to models that assume a homogeneous UV background, reionisation suppresses the power spectrum at small scales, $k ∼ 0.1m̊\\,km^{-1}\\,s$, by $∼ 10$ per cent because of spatial variations in the thermal broadening kernel and the divergent peculiar velocity field associated with over-pressurised intergalactic gas. On larger scales, $k<0.03m̊\\,km^{-1}\\,s$, the power spectrum is instead enhanced by $10$-$50$ per cent by large scale spatial variations in the neutral hydrogen fraction. The effect of inhomogeneous reionisation must therefore be accounted for in analyses of forthcoming high precision measurements. We provide a correction for the Lyman-$α$ forest power spectrum at $4.1≤ z ≤ 5.4$ in a form that can be easily applied within other parameter inference frameworks. We perform a Bayesian analysis of mock data to assess the extent of systematic biases that may arise in measurements of the intergalactic medium if ignoring this correction. At the scales probed by current high resolution Lyman-$α$ forest data at $z>4$, $0.006 m̊ \\,km^{-1}\\,s≤ k ≤ 0.2 m̊\\, km^{-1}\\,s$, we find inhomogeneous reionisation does not introduce any significant bias in thermal parameter recovery for the current measurement uncertainties of $∼ 10$ per cent. However, for $5$ per cent uncertainties, $∼ 1σ$ shifts between the estimated and true parameters occur.","added-at":"2021-09-16T08:27:31.000+0200","author":[{"propositions":[],"lastnames":["Molaro"],"firstnames":["Margherita"],"suffixes":[]},{"propositions":[],"lastnames":["Iršič"],"firstnames":["Vid"],"suffixes":[]},{"propositions":[],"lastnames":["Bolton"],"firstnames":["James","S."],"suffixes":[]},{"propositions":[],"lastnames":["Keating"],"firstnames":["Laura","C."],"suffixes":[]},{"propositions":[],"lastnames":["Puchwein"],"firstnames":["Ewald"],"suffixes":[]},{"propositions":[],"lastnames":["Gaikwad"],"firstnames":["Prakash"],"suffixes":[]},{"propositions":[],"lastnames":["Haehnelt"],"firstnames":["Martin","G."],"suffixes":[]},{"propositions":[],"lastnames":["Kulkarni"],"firstnames":["Girish"],"suffixes":[]},{"propositions":[],"lastnames":["Viel"],"firstnames":["Matteo"],"suffixes":[]}],"biburl":"https://www.bibsonomy.org/bibtex/25dfe3779bad9079cfa5f567b41bd542f/gpkulkarni","description":"The effect of inhomogeneous reionisation on the Lyman-$α$ forest power spectrum at redshift $z>4$: implications for thermal parameter recovery","interhash":"aba7e6f86b4053e78eb6b9381575dee4","intrahash":"5dfe3779bad9079cfa5f567b41bd542f","keywords":"library","note":"cite arxiv:2109.06897Comment: 20 pages, 11 figures, Submitted to MNRAS, Comments welcome","timestamp":"2021-09-16T08:27:31.000+0200","title":"The effect of inhomogeneous reionisation on the Lyman-$α$ forest power spectrum at redshift $z>4$: implications for thermal parameter recovery","url":"http://arxiv.org/abs/2109.06897","year":"2021","bibtex":"@misc{molaro2021effect,\n abstract = {We use the Sherwood-Relics suite of hybrid hydrodynamical and radiative\r\ntransfer simulations to model the effect of inhomogeneous reionisation on the\r\n1D power spectrum of the Lyman-$\\alpha$ forest transmitted flux at redshifts\r\n$4.2\\leq z \\leq 5$. Relative to models that assume a homogeneous UV background,\r\nreionisation suppresses the power spectrum at small scales, $k \\sim\r\n0.1\\rm\\,km^{-1}\\,s$, by $\\sim 10$ per cent because of spatial variations in the\r\nthermal broadening kernel and the divergent peculiar velocity field associated\r\nwith over-pressurised intergalactic gas. On larger scales,\r\n$k<0.03\\rm\\,km^{-1}\\,s$, the power spectrum is instead enhanced by $10$-$50$\r\nper cent by large scale spatial variations in the neutral hydrogen fraction.\r\nThe effect of inhomogeneous reionisation must therefore be accounted for in\r\nanalyses of forthcoming high precision measurements. We provide a correction\r\nfor the Lyman-$\\alpha$ forest power spectrum at $4.1\\leq z \\leq 5.4$ in a form\r\nthat can be easily applied within other parameter inference frameworks. We\r\nperform a Bayesian analysis of mock data to assess the extent of systematic\r\nbiases that may arise in measurements of the intergalactic medium if ignoring\r\nthis correction. At the scales probed by current high resolution Lyman-$\\alpha$\r\nforest data at $z>4$, $0.006 \\rm \\,km^{-1}\\,s\\leq k \\leq 0.2 \\rm\\, km^{-1}\\,s$,\r\nwe find inhomogeneous reionisation does not introduce any significant bias in\r\nthermal parameter recovery for the current measurement uncertainties of $\\sim\r\n10$ per cent. However, for $5$ per cent uncertainties, $\\sim 1\\sigma$ shifts\r\nbetween the estimated and true parameters occur.},\n added-at = {2021-09-16T08:27:31.000+0200},\n author = {Molaro, Margherita and Iršič, Vid and Bolton, James S. and Keating, Laura C. and Puchwein, Ewald and Gaikwad, Prakash and Haehnelt, Martin G. and Kulkarni, Girish and Viel, Matteo},\n biburl = {https://www.bibsonomy.org/bibtex/25dfe3779bad9079cfa5f567b41bd542f/gpkulkarni},\n description = {The effect of inhomogeneous reionisation on the Lyman-$\\alpha$ forest power spectrum at redshift $z>4$: implications for thermal parameter recovery},\n interhash = {aba7e6f86b4053e78eb6b9381575dee4},\n intrahash = {5dfe3779bad9079cfa5f567b41bd542f},\n keywords = {library},\n note = {cite arxiv:2109.06897Comment: 20 pages, 11 figures, Submitted to MNRAS, Comments welcome},\n timestamp = {2021-09-16T08:27:31.000+0200},\n title = {The effect of inhomogeneous reionisation on the Lyman-$\\alpha$ forest\r\n power spectrum at redshift $z>4$: implications for thermal parameter recovery},\n url = {http://arxiv.org/abs/2109.06897},\n year = 2021\n}\n\n","author_short":["Molaro, M.","Iršič, V.","Bolton, J. 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