The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data.

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Title: The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data.
Authors: Cuceu, Andrei1,2,3,4, cuceu.1@osu.edu, Font-Ribera, Andreu4,5, Martini, Paul1,2, Joachimi, Benjamin4, Nadathur, Seshadri6, Rich, James7, González-Morales, Alma X8, du Mas des Bourboux, Hélion9, Farr, James4
Source: Monthly Notices of the Royal Astronomical Society; Aug2023, Vol. 523 Issue 3, p3773-3790, 18p
Database: Applied Science & Technology Source
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  Data: The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data.
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Notices+of+the+Royal+Astronomical+Society%22">Monthly Notices of the Royal Astronomical Society</searchLink>; Aug2023, Vol. 523 Issue 3, p3773-3790, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164689955
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      – Type: doi
        Value: 10.1093/mnras/stad1546
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 3773
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      – TitleFull: The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data.
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              Text: Aug2023
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              Y: 2023
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