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Paper Citation Record · LEDGER

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest

As of 4 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 1 inbound Pith citation observation for arXiv:2605.22489.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.22489 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T04:03:53.162706Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:50:48.246480Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-01T12:16:17.934468Z

Reference resolution

100 of 300 outbound references displayed

  • verified exact93
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdcd21ab-877b-4688-a83e-4d60a1606968 · outbound

This paper cites Gunn and B.A.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Gunn and B.A

Reference 1

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raw_fallback, observed 2026-05-22T04:06:03.157208Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8986daea-545d-4cbe-af9f-adfe348ff6c7 · outbound

This paper cites Lynds,The Absorption-Line Spectrum of 4c 05.34,ApJL164(1971) L73.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Lynds,The Absorption-Line Spectrum of 4c 05.34,ApJL164(1971) L73

Reference 2

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raw_fallback, observed 2026-05-22T04:06:03.161073Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8d3afc08-b1e9-4417-a336-9c857fdacb39 · outbound

This paper cites The Cosmic Baryon Budget.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Cosmic Baryon Budget

Reference 3

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local_arxiv, observed 2026-05-22T04:04:35.984409Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bfd088a4-adf8-4650-9b82-2e840f19ca87 · outbound

This paper cites The Baryon Census in a Multiphase Intergalactic Medium: 30% of the Baryons May Still Be Missing.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Baryon Census in a Multiphase Intergalactic Medium: 30% of the Baryons May Still Be Missing

Reference 4

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local_arxiv, observed 2026-05-22T04:04:35.575605Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b5af05a7-7325-4b39-b019-9cdf2e4ce813 · outbound

This paper cites Constraints on the missing baryons from the kinetic Sunyaev-Zeldovich effect in Planck data.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Constraints on the missing baryons from the kinetic Sunyaev-Zeldovich effect in Planck data

Reference 5

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local_arxiv, observed 2026-05-22T04:04:35.571154Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 33c4cd1c-0123-4bf6-a5aa-e18672ee281a · outbound

This paper cites Observations of the MIssing Baryons in the warm-hot intergalactic medium.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Observations of the MIssing Baryons in the warm-hot intergalactic medium

Reference 6

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local_arxiv, observed 2026-05-22T04:04:35.562433Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 23a91edf-6733-4151-9b85-a2736c8f7eea · outbound

This paper cites Probing the missing baryons with the Sunyaev-Zel'dovich effect from filaments.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Probing the missing baryons with the Sunyaev-Zel'dovich effect from filaments

Reference 7

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local_arxiv, observed 2026-05-22T04:04:35.557739Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation db99188a-561a-4340-a61f-5a1836eab46d · outbound

This paper cites A Search for Warm/Hot Gas Filaments Between Pairs of SDSS Luminous Red Galaxies.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A Search for Warm/Hot Gas Filaments Between Pairs of SDSS Luminous Red Galaxies

Reference 8

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arxiv_id, observed 2026-05-22T04:04:35.536621Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b4e016bc-5191-4491-96af-4e5d2f54df17 · outbound

This paper cites Measuring the evolution of intergalactic gas from z=0 to 5 using the kinematic Sunyaev-Zel'dovich effect.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Measuring the evolution of intergalactic gas from z=0 to 5 using the kinematic Sunyaev-Zel'dovich effect

Reference 9

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arxiv_id, observed 2026-05-22T04:04:35.531785Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 38128381-c2cd-4fb0-8e24-ec811b276003 · outbound

This paper cites The Lyman Alpha Forest from Gravitational Collapse in the CDM+Lambda Model.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Lyman Alpha Forest from Gravitational Collapse in the CDM+Lambda Model

Reference 10

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local_arxiv, observed 2026-05-22T04:04:35.526773Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 22c56963-5963-4a47-a258-fdc8ed3a2169 · outbound

This paper cites Evolution of the Ly$\alpha$ forest: a consistent picture.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Evolution of the Ly$\alpha$ forest: a consistent picture

Reference 11

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arxiv_id, observed 2026-05-22T04:04:35.520832Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 50db4e50-c95a-4a7f-adac-fabfa5a2b7e6 · outbound

This paper cites P3M-SPH simulations of the Lyman-alpha Forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest P3M-SPH simulations of the Lyman-alpha Forest

Reference 12

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local_arxiv, observed 2026-05-22T04:04:35.506615Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 98e9d2c8-2027-44ea-b39b-9f43a8fcfc45 · outbound

This paper cites The bispectrum of the Lyman-alpha forest at z~2-2.4 from a Large sample of UVES QSO Absorption Spectra (LUQAS).

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The bispectrum of the Lyman-alpha forest at z~2-2.4 from a Large sample of UVES QSO Absorption Spectra (LUQAS)

Reference 13

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local_arxiv, observed 2026-05-22T04:04:35.501364Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2df76223-6214-4b3f-9374-28a0a24184db · outbound

This paper cites The Lyman Alpha Forest in the Spectra of QSOs.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Lyman Alpha Forest in the Spectra of QSOs

Reference 14

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local_arxiv, observed 2026-05-22T04:04:35.815617Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation aa9f8b73-a995-49b6-8ad1-3304ab186966 · outbound

This paper cites The Lyman-alpha Forest as a Cosmological Tool.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Lyman-alpha Forest as a Cosmological Tool

Reference 15

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local_arxiv, observed 2026-05-22T04:04:35.660907Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bb5ae3ba-a494-4f6d-af43-4bc564e48fcb · outbound

This paper cites The Physics of the Intergalactic Medium.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Physics of the Intergalactic Medium

Reference 16

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local_arxiv, observed 2026-05-22T04:04:35.665777Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6f3d76cf-5d50-414a-9d71-c16ee4001fb0 · outbound

This paper cites The Evolution of the Intergalactic Medium.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Evolution of the Intergalactic Medium

Reference 17

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local_arxiv, observed 2026-05-22T04:04:35.777819Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dbfb208c-a7df-4f4a-8dd2-38fac6ea6d75 · outbound

This paper cites The Sloan Digital Sky Survey: Technical Summary.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Sloan Digital Sky Survey: Technical Summary

Reference 18

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local_arxiv, observed 2026-05-22T04:04:35.671355Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 184b9269-fe30-43fb-9224-2342d718b8a1 · outbound

This paper cites SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems

Reference 19

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local_arxiv, observed 2026-05-22T04:04:35.761336Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4651da27-d3d9-424d-b6fd-9995c6bbdd80 · outbound

This paper cites The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data

Reference 20

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local_arxiv, observed 2026-05-22T04:04:35.696114Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 56ba6dcc-4d0c-4df8-b7be-34d5a4159bbb · outbound

This paper cites Baryon Acoustic Oscillations in the Ly-\alpha\ forest of BOSS quasars.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Baryon Acoustic Oscillations in the Ly-\alpha\ forest of BOSS quasars

Reference 21

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local_arxiv, observed 2026-05-22T04:04:35.640679Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 92c2b8d5-164b-4a11-a3a4-de61f56f48f5 · outbound

This paper cites Measurement of Baryon Acoustic Oscillations in the Lyman-alpha Forest Fluctuations in BOSS Data Release 9.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Measurement of Baryon Acoustic Oscillations in the Lyman-alpha Forest Fluctuations in BOSS Data Release 9

Reference 22

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local_arxiv, observed 2026-05-22T04:04:35.619060Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:7ac26e859ff17b5f06d2ca92a023b98bc1381eb47d12cf4b51e2b31f0ef6c7b7

Observation b9c53161-30dc-4833-9cd0-af33ba17c8d0 · outbound

This paper cites Baryon Acoustic Oscillations in the Ly{\alpha} forest of BOSS DR11 quasars.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Baryon Acoustic Oscillations in the Ly{\alpha} forest of BOSS DR11 quasars

Reference 23

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local_arxiv, observed 2026-05-22T04:04:35.623311Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:1c4af8a178bbb3cbd5a8ad9cc385c5108c2a7229e622fc9cfa9a42a287dc4f80

Observation 62dc413f-64b8-4a4b-b5d3-8902c71d5c4d · outbound

This paper cites Measurement of BAO correlations at $z=2.3$ with SDSS DR12 \lya-Forests.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Measurement of BAO correlations at $z=2.3$ with SDSS DR12 \lya-Forests

Reference 24

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local_arxiv, observed 2026-05-22T04:04:35.631490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:5954a340e86aa0ff140407daa97b5eb3b99f8929ec81bba08c602d01c1837813

Observation e238b42e-e35d-4502-988c-d8c8e0830fa1 · outbound

This paper cites Baryon acoustic oscillations at z = 2.34 from the correlations of Ly$\alpha$ absorption in eBOSS DR14.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Baryon acoustic oscillations at z = 2.34 from the correlations of Ly$\alpha$ absorption in eBOSS DR14

Reference 25

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arxiv_id, observed 2026-05-22T04:04:35.627513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:ff0b00fb86f650a64f23c7f212c22496ab5a907b3f7135b5078184067b6d76bd

Observation dd3c2d9b-63ab-46af-87c1-6803d79791c5 · outbound

This paper cites The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Baryon acoustic oscillations with Lyman-$\alpha$ forests.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Baryon acoustic oscillations with Lyman-$\alpha$ forests

Reference 26

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arxiv_id, observed 2026-05-22T04:04:35.600921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:ac19d22156238abaea07cf301574367a59b6a89bee68c3c1d71e8267e5dc9993

Observation d8f094c1-eda7-47c8-9166-2ccc8a192d2c · outbound

This paper cites Quasar-Lyman $\alpha$ Forest Cross-Correlation from BOSS DR11 : Baryon Acoustic Oscillations.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Quasar-Lyman $\alpha$ Forest Cross-Correlation from BOSS DR11 : Baryon Acoustic Oscillations

Reference 27

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local_arxiv, observed 2026-05-22T04:04:35.973958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:b2c927caed13b3b53689e197ea9eb08c7cd82754fd35da04e0c768f4ba7bc59e

Observation 195ae88f-dd7f-4961-930e-7767f129e77c · outbound

This paper cites Baryon acoustic oscillations from the complete SDSS-III Ly$\alpha$-quasar cross-correlation function at $z=2.4$.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Baryon acoustic oscillations from the complete SDSS-III Ly$\alpha$-quasar cross-correlation function at $z=2.4$

Reference 28

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local_arxiv, observed 2026-05-22T04:04:35.584030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:a161b5022546416b5eca1a2beeb7d09bbdcbbce5e9125762aaf610126ab33938

Observation a2dafba2-94ec-4220-8300-509af44266ce · outbound

This paper cites Baryon acoustic oscillations from the cross-correlation of Ly$\alpha$ absorption and quasars in eBOSS DR14.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Baryon acoustic oscillations from the cross-correlation of Ly$\alpha$ absorption and quasars in eBOSS DR14

Reference 29

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arxiv_id, observed 2026-05-22T04:04:35.588734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:80ac337ef3bd86f67f0087c9d02f3d8dda4c2cd230089ca6e628110770ee3df0

Observation e49c3f7f-f1e3-445b-acfb-b2eda8e02fb5 · outbound

This paper cites The Lyman-alpha Forest Power Spectrum from the Sloan Digital Sky Survey.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Lyman-alpha Forest Power Spectrum from the Sloan Digital Sky Survey

Reference 30

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local_arxiv, observed 2026-05-22T04:04:35.597110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:88bc6b6960994b495b52a13ad5d1298b5a21012f1bb85dedbdced9e5def603b0

Observation 5de795fb-9910-4d06-ac9a-a4a6b53d83f6 · outbound

This paper cites The one-dimensional Ly-alpha forest power spectrum from BOSS.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The one-dimensional Ly-alpha forest power spectrum from BOSS

Reference 31

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local_arxiv, observed 2026-05-22T04:04:35.566595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:e79b134bfcbf7ab14e8d19b8ab35150862789df78b6fa9c432f4246bf05f6b36

Observation 84d6e494-9910-4775-bd56-bcb278c06b45 · outbound

This paper cites Constraint on neutrino masses from SDSS-III/BOSS Ly$\alpha$ forest and other cosmological probes.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Constraint on neutrino masses from SDSS-III/BOSS Ly$\alpha$ forest and other cosmological probes

Reference 32

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local_arxiv, observed 2026-05-22T04:04:35.605045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ec860428-4a31-487b-b9a7-709ee3266493 · outbound

This paper cites The one-dimensional power spectrum from the SDSS DR14 Ly$\alpha$ forests.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The one-dimensional power spectrum from the SDSS DR14 Ly$\alpha$ forests

Reference 33

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arxiv_id, observed 2026-05-22T04:04:35.635975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 677ff572-b3e7-42ad-92d3-40f386ff8724 · outbound

This paper cites Hints, neutrino bounds and WDM constraints from SDSS DR14 Lyman-$\alpha$ and Planck full-survey data.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Hints, neutrino bounds and WDM constraints from SDSS DR14 Lyman-$\alpha$ and Planck full-survey data

Reference 34

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arxiv_id, observed 2026-05-22T04:04:35.511642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 71658bfb-e3d0-4d50-8e3f-e99d148f4233 · outbound

This paper cites Cosmological Constraints from the eBOSS Lyman-$\alpha$ Forest using the PRIYA Simulations.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Cosmological Constraints from the eBOSS Lyman-$\alpha$ Forest using the PRIYA Simulations

Reference 35

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arxiv_id, observed 2026-05-22T04:04:35.496457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:bcd4388ffac7e666d8994358b652471620f02949efd46cd4174bbe8ec66c74b9

Observation 19388057-0106-48d7-b829-c2d12ef1939f · outbound

This paper cites Emulating the Lyman-Alpha forest 1D power spectrum from cosmological simulations: New models and constraints from the eBOSS measurement.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Emulating the Lyman-Alpha forest 1D power spectrum from cosmological simulations: New models and constraints from the eBOSS measurement

Reference 36

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arxiv_id, observed 2026-05-22T04:04:35.515909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1fa7e3c5-b404-4155-a31e-4f9a1d8e911e · outbound

This paper cites Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Reference 37

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local_arxiv, observed 2026-05-22T04:04:35.542748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:74d909a3d3b6387a4900e15cb626219a70381089e5f28b40afedfdc66c93f874

Observation bdde7101-ab60-491a-836b-04384066c37f · outbound

This paper cites The DESI Experiment Part I: Science,Targeting, and Survey Design.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The DESI Experiment Part I: Science,Targeting, and Survey Design

Reference 38

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local_arxiv, observed 2026-05-22T04:04:35.481229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:9b834a8d04b3a0e2da81da6b7d6f99243b6c01bf07a2b166cdc8f9495801e0bd

Observation 2763d2ef-e54f-47bb-bf49-f0d3bc05331e · outbound

This paper cites DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

Reference 39

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local_arxiv, observed 2026-05-22T04:04:35.646249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:826a97fa56ca2614a55590879806d95efd83361f3d9050cf073cd75f6112c7cd

Observation 94cfba0e-0c7b-446f-b079-fd77e8865227 · outbound

This paper cites DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest

Reference 40

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local_arxiv, observed 2026-05-22T04:04:35.744236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:5af932ae6cf7d4b785c0233aabe185e2066ba32a9729c5bc2b451bc7d8ad0324

Observation 6aa8c5fc-2b74-44a7-8d80-e04f956d100f · outbound

This paper cites Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum

Reference 41

Resolution
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local_arxiv, observed 2026-05-22T04:04:36.109807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 05de2d4f-2f07-4ee3-b970-020831ae28b2 · outbound

This paper cites Cuceu, H.K.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Cuceu, H.K

Reference 42

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arxiv_id, observed 2026-05-22T04:04:36.116164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7b00fb0e-cd62-457a-927d-641e084af733 · outbound

This paper cites The Third Data Release of the KODIAQ Survey.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Third Data Release of the KODIAQ Survey

Reference 43

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arxiv_id, observed 2026-05-22T04:04:35.857553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 247f4fb1-10f8-42a3-907a-f02b582a6781 · outbound

This paper cites XQ-100: A legacy survey of one hundred 3.5 < z < 4.5 quasars observed with VLT/XSHOOTER.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest XQ-100: A legacy survey of one hundred 3.5 < z < 4.5 quasars observed with VLT/XSHOOTER

Reference 44

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local_arxiv, observed 2026-05-22T04:04:35.592728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 15eb35b8-97af-4d8c-b48d-8eb12add6700 · outbound

This paper cites The UVES Spectral Quasar Absorption Database (SQUAD) Data Release 1: The first 10 million seconds.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The UVES Spectral Quasar Absorption Database (SQUAD) Data Release 1: The first 10 million seconds

Reference 45

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local_arxiv, observed 2026-05-22T04:04:35.547997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9d83b0f8-28cf-44b4-9fa5-248d0e64369e · outbound

This paper cites The First Data Release of the KODIAQ Survey.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The First Data Release of the KODIAQ Survey

Reference 46

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local_arxiv, observed 2026-05-22T04:04:35.609409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e02ed1ba-79aa-4265-aecc-8f7ab7952fa0 · outbound

This paper cites The Lyman-alpha forest power spectrum from the XQ-100 Legacy Survey.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Lyman-alpha forest power spectrum from the XQ-100 Legacy Survey

Reference 47

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local_arxiv, observed 2026-05-22T04:04:35.863406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 80e816ac-16f3-4569-927b-298ae600b4d5 · outbound

This paper cites An HST/COS Survey of the Low-Redshift IGM. I. Survey, Methodology, & Overall Results.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest An HST/COS Survey of the Low-Redshift IGM. I. Survey, Methodology, & Overall Results

Reference 48

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local_arxiv, observed 2026-05-22T04:04:36.121560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d607d8ed-1018-4cc2-99e6-692301abed5f · outbound

This paper cites The Near-Infrared Spectrograph (NIRSpec) on the James Webb Space Telescope I. Overview of the instrument and its capabilities.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Near-Infrared Spectrograph (NIRSpec) on the James Webb Space Telescope I. Overview of the instrument and its capabilities

Reference 49

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local_arxiv, observed 2026-05-22T04:04:36.134545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dd3bde1e-2650-43e2-bef6-da6390343c70 · outbound

This paper cites The Evolution of the Effective Equation of State of the IGM.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Evolution of the Effective Equation of State of the IGM

Reference 50

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local_arxiv, observed 2026-05-22T04:04:36.093606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4df15cb6-f10b-4b05-997e-aa2efd04da16 · outbound

This paper cites The Statistical and Physical Properties of the Low Redshift Lyman Alpha Forest Observed with HST/STIS.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Statistical and Physical Properties of the Low Redshift Lyman Alpha Forest Observed with HST/STIS

Reference 51

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local_arxiv, observed 2026-05-22T04:04:36.098324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation aca8558e-f224-439c-9f6c-7f0e0233e31a · outbound

This paper cites Possible evidence for an inverted temperature-density relation in the intergalactic medium from the flux distribution of the Lyman-alpha forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Possible evidence for an inverted temperature-density relation in the intergalactic medium from the flux distribution of the Lyman-alpha forest

Reference 52

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local_arxiv, observed 2026-05-22T04:04:36.128232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 698a83d0-c485-4230-8e2e-0731f811c4dd · outbound

This paper cites A Measurement of Small Scale Structure in the 2.2 < z < 4.2 Lyman-alpha Forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A Measurement of Small Scale Structure in the 2.2 < z < 4.2 Lyman-alpha Forest

Reference 53

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local_arxiv, observed 2026-05-22T04:04:36.070404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3f360c62-990d-49a8-9c73-78a832bcbd61 · outbound

This paper cites A consistent determination of the temperature of the intergalactic medium at redshift z=2.4.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A consistent determination of the temperature of the intergalactic medium at redshift z=2.4

Reference 54

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local_arxiv, observed 2026-05-22T04:04:36.064623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:d6d59e60e817c302cef8aff9b3765b49ef3d88e4059fd4893ce4ce716830b777

Observation 30a0f155-4108-492a-9889-2c4bd1e0abb5 · outbound

This paper cites Inferring the IGM thermal history during reionisation with the Lyman-$\alpha$ forest power spectrum at redshift $z \simeq 5$.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Inferring the IGM thermal history during reionisation with the Lyman-$\alpha$ forest power spectrum at redshift $z \simeq 5$

Reference 55

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local_arxiv, observed 2026-05-22T04:04:36.076123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4c29e4ff-d2b1-43d9-b32d-8db2050c100f · outbound

This paper cites Revealing reionization with the thermal history of the intergalactic medium: new constraints from the Lyman-$\alpha$ flux power spectrum.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Revealing reionization with the thermal history of the intergalactic medium: new constraints from the Lyman-$\alpha$ flux power spectrum

Reference 56

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local_arxiv, observed 2026-05-22T04:04:36.081279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 751bea69-9350-4591-82a1-8ab61e12db5b · outbound

This paper cites New Constraints on IGM Thermal Evolution from the Ly{\alpha} Forest Power Spectrum.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest New Constraints on IGM Thermal Evolution from the Ly{\alpha} Forest Power Spectrum

Reference 57

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local_arxiv, observed 2026-05-22T04:04:36.103862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6f1bedda-fd1a-461b-a6a2-34be57a89901 · outbound

This paper cites A consistent and robust measurement of the thermal state of the IGM at $2 \leq z \leq 4$ from a large sample of Ly$\alpha$ forest spectra: Evidence for late and rapid HeII reionization.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A consistent and robust measurement of the thermal state of the IGM at $2 \leq z \leq 4$ from a large sample of Ly$\alpha$ forest spectra: Evidence for late and rapid HeII reionization

Reference 58

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arxiv_id, observed 2026-05-22T04:04:36.044547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0b2cc79a-1547-4648-bced-35973f8a360c · outbound

This paper cites Inferring the Thermal History of the Intergalactic Medium from the Properties of the Hydrogen and Helium Lyman-alpha Forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Inferring the Thermal History of the Intergalactic Medium from the Properties of the Hydrogen and Helium Lyman-alpha Forest

Reference 59

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arxiv_id, observed 2026-05-22T04:04:36.050494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:0466f92c16e53f450d5aeb7af22f399db09443d8b138260eceb70dbda1712579

Observation df700d6b-0b38-4489-b98d-2b9b4400bad2 · outbound

This paper cites Small-scale Lyman alpha forest cosmology with PRIYA: Constraints from XQ100 and KODIAQ-SQUAD one-dimensional flux power spectra.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Small-scale Lyman alpha forest cosmology with PRIYA: Constraints from XQ100 and KODIAQ-SQUAD one-dimensional flux power spectra

Reference 60

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arxiv_id, observed 2026-06-10T02:10:32.314749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:dbd4220aa2ee764eca284b5a44272c289c75fdd44b38bdb883a7d4420dc9886d

Observation ab827148-8f5b-44e5-a889-2f5f719a0977 · outbound

This paper cites Measurements of the Thermal and Ionization State of the Intergalactic Medium during the Cosmic Afternoon.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Measurements of the Thermal and Ionization State of the Intergalactic Medium during the Cosmic Afternoon

Reference 61

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arxiv_id, observed 2026-05-22T04:04:36.028133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:fa28c7c5dc6ed9bf6e172990dde4b49f938a86a6aeda441202d10a683c61c759

Observation 767b206e-43e1-411b-8d43-dc1fabcb3aae · outbound

This paper cites Reionization of the Intergalactic Medium and the Damping Wing of the Gunn-Peterson Trough.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Reionization of the Intergalactic Medium and the Damping Wing of the Gunn-Peterson Trough

Reference 62

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local_arxiv, observed 2026-05-22T04:04:36.033823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:447aaf389a6d1005e015c44b9b2d89fc249cb3573d7a9cc33424acb36aafb059

Observation 4dce17b6-ae0a-4861-89ab-abcb1b92458e · outbound

This paper cites On the Evolution of the Ionizing Emissivity of Galaxies and Quasars Required by the Hydrogen Reionization.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest On the Evolution of the Ionizing Emissivity of Galaxies and Quasars Required by the Hydrogen Reionization

Reference 63

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local_arxiv, observed 2026-05-22T04:04:36.010480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:199597cf4cda255ae25380b21b53f615505fe7d859128ddc0862bca0fbc025cd

Observation f9416c52-7b04-4dc9-a580-c9fdc1346949 · outbound

This paper cites A Survey of z>5.7 Quasars in the Sloan Digital Sky Survey IV: Discovery of Seven Additional Quasars.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A Survey of z>5.7 Quasars in the Sloan Digital Sky Survey IV: Discovery of Seven Additional Quasars

Reference 64

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local_arxiv, observed 2026-05-22T04:04:36.015621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:9391b3a44286e3b2fa6e603565a0edaadac3c76bc78aa89e39728e90a7d7e005

Observation 636378c2-9b11-43e0-bdac-01c7da0579b0 · outbound

This paper cites The observed ionization rate of the intergalactic medium and the ionizing emissivity at z >5: Evidence for a photon starved and extended epoch of reionization.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The observed ionization rate of the intergalactic medium and the ionizing emissivity at z >5: Evidence for a photon starved and extended epoch of reionization

Reference 65

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local_arxiv, observed 2026-05-22T04:04:36.038975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5a2d7705-bb3c-4724-87ff-50577b693a6d · outbound

This paper cites Was reionization complete by z ~ 5-6?.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Was reionization complete by z ~ 5-6?

Reference 66

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local_arxiv, observed 2026-05-22T04:04:36.055083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:575357d56fe45619325f0dd1723a715efb9c027ca26325137a9bf0024da14e30

Observation 7b3c4a2e-e751-49c9-955c-5b77f997be74 · outbound

This paper cites A luminous quasar at a redshift of z = 7.085.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A luminous quasar at a redshift of z = 7.085

Reference 67

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.989342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:7069a917fc7328a834978489311c33257c4fee77c6025a0f77fee4b879dbedbc

Observation 1a98e01b-d955-4d47-b494-dc00f5787eb4 · outbound

This paper cites The first (nearly) model-independent constraint on the neutral hydrogen fraction at z~5--6.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The first (nearly) model-independent constraint on the neutral hydrogen fraction at z~5--6

Reference 68

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.963231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:34e636e090fad2c823e5fd7909a2209148f00cadbc7a85381050cca524e1ae56

Observation f9403bb9-5f86-40f0-9301-13e68a0fd2dc · outbound

This paper cites A Refined Measurement of the Mean Transmitted Flux in the Ly-alpha Forest over 2 < z < 5 Using Composite Quasar Spectra.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A Refined Measurement of the Mean Transmitted Flux in the Ly-alpha Forest over 2 < z < 5 Using Composite Quasar Spectra

Reference 69

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local_arxiv, observed 2026-05-22T04:04:35.968650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 028dc48a-d479-4fa0-84a4-ff66c9dbe281 · outbound

This paper cites Probing the metallicity and ionization state of the circumgalactic medium at z~6 and beyond with OI absorption.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Probing the metallicity and ionization state of the circumgalactic medium at z~6 and beyond with OI absorption

Reference 70

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local_arxiv, observed 2026-05-22T04:04:36.091291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:82fad51e83251ec5e7b7047cb33ae5c9a6a19750dd2d592c6ed858ae966edd4e

Observation 9895a4c0-6c82-459a-a707-345d30033b4f · outbound

This paper cites Evidence of patchy hydrogen reionization from an extreme Ly$\alpha$ trough below redshift six.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Evidence of patchy hydrogen reionization from an extreme Ly$\alpha$ trough below redshift six

Reference 71

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local_arxiv, observed 2026-05-22T04:04:35.952333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:06c1bea02b68bb392bc36963a4011c9960c7f7127272baf965f40400060d30c4

Observation 450da2dc-2e01-44b8-a3e8-63f0fbf2b81c · outbound

This paper cites Model-independent evidence in favor of an end to reionization by z~6.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Model-independent evidence in favor of an end to reionization by z~6

Reference 72

Resolution
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local_arxiv, observed 2026-05-22T04:04:36.078504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:af0b039c576d64723c59e98cbbe7ffaaa27c8965f63fc782a895720954f594f4

Observation d6bdd8a4-0418-4b38-be92-cca08c8abe07 · outbound

This paper cites The Metagalactic Ionizing Background: A Crisis in UV Photon Production or Incorrect Galaxy Escape Fractions?.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Metagalactic Ionizing Background: A Crisis in UV Photon Production or Incorrect Galaxy Escape Fractions?

Reference 73

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.994774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:fd19812e340acbbce957143df6e6a27c9eb5fde31aad10d37da807ec5678b09f

Observation 877e95bc-c6f5-49c9-81bd-6f1549501682 · outbound

This paper cites Photon underproduction crisis: Are QSOs sufficient to resolve it?.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Photon underproduction crisis: Are QSOs sufficient to resolve it?

Reference 74

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.711805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:d6fab028818b80c5823cf15f941638d1a338dc5fd6879b2f38ecf59a30fe549b

Observation 6e364571-91de-4f0d-8ccb-31135f67583d · outbound

This paper cites Are we witnessing the epoch of reionisation at $z=7.1$ from the spectrum of J1120+0641?.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Are we witnessing the epoch of reionisation at $z=7.1$ from the spectrum of J1120+0641?

Reference 75

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.979603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:8d41a98efb50536059cc30fb796d106d6937f95303ada75ce0c65394a4b034e4

Observation 386350ee-fb9a-4b31-96b4-473e3c7cbb93 · outbound

This paper cites An 800-million-solar-mass black hole in a significantly neutral Universe at redshift 7.5.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest An 800-million-solar-mass black hole in a significantly neutral Universe at redshift 7.5

Reference 76

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.999955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:f3cb8989aecb7f1bcb8608ebcd8b1f3cb23eda277d9c8649bf9fc31cbf95d339

Observation 70f48f21-7303-4d70-bf51-6ee3df429457 · outbound

This paper cites New constraints on Lyman-{\alpha} opacity with a sample of 62 quasars at z > 5.7.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest New constraints on Lyman-{\alpha} opacity with a sample of 62 quasars at z > 5.7

Reference 77

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local_arxiv, observed 2026-05-22T04:04:36.140464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:80eb524d8fcd61d602eddd60e882e3624685a6a15c38e00917cd45f5e5520f81

Observation dbf210b7-a60f-4c9e-b690-3c5156c62659 · outbound

This paper cites Quantitative Constraints on the Reionization History from the IGM Damping Wing Signature in Two Quasars at z > 7.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Quantitative Constraints on the Reionization History from the IGM Damping Wing Signature in Two Quasars at z > 7

Reference 78

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.869305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:8bd4d96d4b9ed430fbaa22d6b83f8155f1a4c6cafa397b1c3254de91eae3c700

Observation 365b4539-aa6f-451e-a3e1-9695910b565f · outbound

This paper cites The Opacity of the Intergalactic Medium Measured Along Quasar Sightlines at $z\sim 6$.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest The Opacity of the Intergalactic Medium Measured Along Quasar Sightlines at $z\sim 6$

Reference 79

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local_arxiv, observed 2026-05-22T04:04:36.074095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:98f8d016f8b2947b2bf52b9afe0ba48a590fa5608fc6b24f7d81e538ec7c9dee

Observation b9fcc646-52c0-4907-aa6a-c3e506eed5ca · outbound

This paper cites Constraints on reionisation from the z=7.5 QSO ULASJ1342+0928.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Constraints on reionisation from the z=7.5 QSO ULASJ1342+0928

Reference 80

Resolution
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local_arxiv, observed 2026-05-22T04:04:35.845772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:ba72f0ec128f6485a96bb4aac308a0d01e4dfc3fcde25363f2b4d4b5f80c1e88

Observation aeaabbc5-8f5b-49d4-8431-1ff3d69d8fa7 · outbound

This paper cites Observing the tail of reionization: neutral islands in the $z=5.5$ Lyman-$\alpha$ Forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Observing the tail of reionization: neutral islands in the $z=5.5$ Lyman-$\alpha$ Forest

Reference 81

Resolution
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arxiv_id, observed 2026-05-22T04:04:36.150216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:36b82ce925c3fda9f1dc09d4c47130e253481421b1887833d67e8bcf07a7bb10

Observation 38eacf32-eba0-4894-bfb9-9c8e1138d35a · outbound

This paper cites New synthesis models of consistent extragalactic background light over cosmic time.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest New synthesis models of consistent extragalactic background light over cosmic time

Reference 82

Resolution
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local_arxiv, observed 2026-05-22T04:04:36.145261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:97e9e1de5d5497e188ee1e5b3e2a77cf07f1c2374d10dd48f9077a003f9ac176

Observation 1ed31a3a-4cc2-4a44-8c9e-3120fdd13791 · outbound

This paper cites Consistent modelling of the meta-galactic UV background and the thermal/ionization history of the intergalactic medium.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Consistent modelling of the meta-galactic UV background and the thermal/ionization history of the intergalactic medium

Reference 83

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local_arxiv, observed 2026-05-22T04:04:35.807595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:ac9d776581c665590ab9369073c4b93085a71a95917c632187df3391936982c8

Observation 850b9314-6ec1-4201-8c36-3451cd159a4e · outbound

This paper cites A Cosmic UV/X-ray Background Model Update.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A Cosmic UV/X-ray Background Model Update

Reference 84

Resolution
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arxiv_id, observed 2026-05-22T04:04:35.846193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:4853fb89a35578fca3a0308d38f87aef142750fe170601df39db082d5231e0f0

Observation 686ec476-773e-4015-a8e7-bd821bebc046 · outbound

This paper cites Measurements of the z ~ 6 Intergalactic Medium Optical Depth and Transmission Spikes Using a New z > 6.3 Quasar Sample.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Measurements of the z ~ 6 Intergalactic Medium Optical Depth and Transmission Spikes Using a New z > 6.3 Quasar Sample

Reference 85

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arxiv_id, observed 2026-05-22T04:04:35.796070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:ca0c07608afff71e36064c64c21f0b0e7247754aa7bc118cd3f67b73d1985ed8

Observation 7d94414a-e5b4-4e55-8122-f73a088e53a0 · outbound

This paper cites A Significantly Neutral Intergalactic Medium Around the Luminous z=7 Quasar J0252-0503.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A Significantly Neutral Intergalactic Medium Around the Luminous z=7 Quasar J0252-0503

Reference 86

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arxiv_id, observed 2026-05-22T04:04:36.046363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:a69273de4910e56a3cdd6f1a0dab77463370df0e6311de91f4e20a9dfbb86a37

Observation 3ab22590-0ed5-4dd7-ae62-46851bca0774 · outbound

This paper cites P\={o}niu\={a}'ena: A Luminous $z=7.5$ Quasar Hosting a 1.5 Billion Solar Mass Black Hole.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest P\={o}niu\={a}'ena: A Luminous $z=7.5$ Quasar Hosting a 1.5 Billion Solar Mass Black Hole

Reference 87

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arxiv_id, observed 2026-05-22T04:04:35.930513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:2e8593d7cacfdaf67f887cd7d81aa88931649a3369c0bf38eb7994d65ee707af

Observation af01c663-0199-4996-bee5-60d7892c8e50 · outbound

This paper cites Chasing the Tail of Cosmic Reionization with Dark Gap Statistics in the Ly$\alpha$ Forest over $5 < z < 6$.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Chasing the Tail of Cosmic Reionization with Dark Gap Statistics in the Ly$\alpha$ Forest over $5 < z < 6$

Reference 88

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arxiv_id, observed 2026-05-22T04:04:35.801814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:8bbcb6a55b3936af997e7c29b29743c172ac42de49ef66f22b92d851e536b2ef

Observation f797c2a9-3019-441f-ba93-004758efa5be · outbound

This paper cites Hydrogen reionisation ends by $z=5.3$: Lyman-$\alpha$ optical depth measured by the XQR-30 sample.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Hydrogen reionisation ends by $z=5.3$: Lyman-$\alpha$ optical depth measured by the XQR-30 sample

Reference 89

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arxiv_id, observed 2026-05-22T04:04:35.871527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:6f96b0ea0f45bf15b8aad9c0e60d752267a395158736d4827145a81072ddefea

Observation 15aba6e3-cc81-4d08-9c28-41c8f7f74cb2 · outbound

This paper cites IGM damping wing constraints on reionisation from covariance reconstruction of two $z\gtrsim7$ QSOs.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest IGM damping wing constraints on reionisation from covariance reconstruction of two $z\gtrsim7$ QSOs

Reference 90

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arxiv_id, observed 2026-05-22T04:04:35.874231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:dc21f511bdff128a7ab4dfbd7925413f4cb0bc3ea6f136acc8429ed3402c57f1

Observation 18fd42a6-7ffd-4d18-b364-78fe274d4024 · outbound

This paper cites Long Dark Gaps in the Ly$\beta$ Forest at $z<6$: Evidence of Ultra Late Reionization from XQR-30 Spectra.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Long Dark Gaps in the Ly$\beta$ Forest at $z<6$: Evidence of Ultra Late Reionization from XQR-30 Spectra

Reference 91

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arxiv_id, observed 2026-05-22T04:04:35.980341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:437545120c278e0db5e6a8028770602aa0654a8c02deb578005910af64845035

Observation a40625d3-e64c-40aa-80b2-ebedcd10323d · outbound

This paper cites Spectroscopic confirmation of four metal-poor galaxies at z=10.3-13.2.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Spectroscopic confirmation of four metal-poor galaxies at z=10.3-13.2

Reference 92

Resolution
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arxiv_id, observed 2026-05-22T04:04:35.738312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:eddd38811d1bee344dd26f4f24d5633cf79cce4d2464b26800808965a8f1de52

Observation 796ed2ad-8991-47ee-b648-7a31d0326f12 · outbound

This paper cites (Nearly) Model-Independent Constraints on the Neutral Hydrogen Fraction in the Intergalactic Medium at $z\sim 5-7$ Using Dark Pixel Fractions in Ly$\alpha$ and Ly$\beta$ Forests.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest (Nearly) Model-Independent Constraints on the Neutral Hydrogen Fraction in the Intergalactic Medium at $z\sim 5-7$ Using Dark Pixel Fractions in Ly$\alpha$ and Ly$\beta$ Forests

Reference 93

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arxiv_id, observed 2026-05-22T04:04:35.755716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:21ecbfc151596b5ab93571ea3124daa90381b9b479af7491689f980923042da8

Observation 956aff8f-6970-404c-9351-9fd220b811c9 · outbound

This paper cites JWST Measurements of Neutral Hydrogen Fractions and Ionized Bubble Sizes at $z=7-12$ Obtained with Ly$\alpha$ Damping Wing Absorptions in 27 Bright Continuum Galaxies.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest JWST Measurements of Neutral Hydrogen Fractions and Ionized Bubble Sizes at $z=7-12$ Obtained with Ly$\alpha$ Damping Wing Absorptions in 27 Bright Continuum Galaxies

Reference 94

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arxiv_id, observed 2026-05-22T04:04:35.766928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:bbde04b98f61c4d994fde4ef02b23c5c52cf0f4c92b027270ea994f17f7571d0

Observation 34a904f1-c14a-4cb7-91c4-cb5ce71f7651 · outbound

This paper cites JWST ASPIRE: How Did Galaxies Complete Reionization? Evidence for Excess IGM Transmission around ${\rm [O\,{\scriptstyle III}]}$ Emitters during Reionization.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest JWST ASPIRE: How Did Galaxies Complete Reionization? Evidence for Excess IGM Transmission around ${\rm [O\,{\scriptstyle III}]}$ Emitters during Reionization

Reference 95

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arxiv_id, observed 2026-05-22T04:04:35.677546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:0e028e5295e7c7a79f5e63e5315d87c6bdcae203567f275ec8488ba6a80a2561

Observation af05753c-c1e5-47b1-b764-8028827d9c8e · outbound

This paper cites Probing patchy reionisation with JWST: IGM opacity constraints from the Lyman-$\alpha$ forest of galaxies in legacy extragalactic fields.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Probing patchy reionisation with JWST: IGM opacity constraints from the Lyman-$\alpha$ forest of galaxies in legacy extragalactic fields

Reference 96

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arxiv_id, observed 2026-05-22T04:04:35.687132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ff2a2f87-a089-4a50-b41e-5601dd132702 · outbound

This paper cites Mason, Z.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Mason, Z

Reference 97

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verified exact
arxiv_id, observed 2026-05-22T04:04:36.059684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6123299e-99b1-4582-a60e-c29a3795f5f2 · outbound

This paper cites Umeda, M.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Umeda, M

Reference 98

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verified exact
arxiv_id, observed 2026-05-22T04:04:35.701173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 29c714bf-fde9-4a37-900c-53ede75f494b · outbound

This paper cites Primordial Black Holes as Dark Matter: The Power Spectrum and Evaporation of Early Structures.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Primordial Black Holes as Dark Matter: The Power Spectrum and Evaporation of Early Structures

Reference 99

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local_arxiv, observed 2026-05-22T04:04:35.630214Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6046d2b7-37bf-4a76-be3e-0d4fe171f8b3 · outbound

This paper cites Constraining Warm Dark Matter candidates including sterile neutrinos and light gravitinos with WMAP and the Lyman-alpha forest.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Constraining Warm Dark Matter candidates including sterile neutrinos and light gravitinos with WMAP and the Lyman-alpha forest

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-05-22T04:04:35.491547Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Pith citing papers

Observation bc250660-8a2a-412f-8cf1-e1f9735e5028 · inbound

Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements cites this paper.

Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest

Reference 65

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local_arxiv, observed 2026-08-01T07:53:28.822213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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