{ "story_id": "b2e3b228c74dd4fa1ebbef70c9aae69c", "desk": "drm3", "revision": 1, "published_at": "2026-09-02T04:00:00.000Z", "content_hash": "81b415525dd8ef063537ec4e913e7ad51cc20a92c1eecb0b112810cf4c75111f", "hash_basis": "sha256 over `headline\\ndek\\nprose`, plus `\\n` + the canonical citations JSON when any source is placed, plus `\\n#blog` for blogs", "basis": { "headline": "JWST confirms distant Type II supernova SN 2023aeaf at redshift 3.195", "dek": "JWST confirmed supernova SN 2023aeaf at redshift 3.195, a Type II explosion when the universe was 2 billion years old.", "prose": "Astronomers using the James Webb Space Telescope identified supernova SN 2023-aeaf at redshift 3.195, whose light traveled about 11.7 billion years, making it one of the most distant confirmed exploding stars. [^1]\n\nIsaac Malsky and co-authors present a machine learning local-box chemical kinetics solver for exoplanet atmospheres that uses a residual flow-map architecture. [^2]\n\nThe surrogate model is several orders of magnitude faster than a classical solver, achieving microsecond-scale inference while retaining percent-level accuracy. [^3]\n\nBased on comparisons of its light curve and colour with simulated supernova populations, the team led by Valeria Aparicio classified SN 2023-aeaf as a Type II supernova with a probability of 97.2%. [^4]\n\nThe study was published in The Astrophysical Journal on 2026-08-13, with lead author con Valeria Aparicio from the Institute for Astronomy at the University of Hawaiʻi. [^5]\n\nThe supernova's host galaxy is a young, low-mass star-forming dwarf galaxy with relatively few heavy elements, which the team said is consistent with the metal-poor environment of a cosmic star-formed star galaxy at a similar redshift. [^6]\n\nThe model outperforms several commonly used machine learning architectures and performs robustly under the extreme stiffness characteristic of atmospheric chemistry. [^7]\n\nThe surrogate model covers a parameter space spanning T=300-3000 K, P=10^-6 to 10^4 bar, Δt=10^-3 to 10^8 s, and compositions from 10^-2 to 10^3 times solar in both C/O ratio and metallicity. [^8]", "cited": "[{\"statement\":\"Astronomers using the James Webb Space Telescope identified supernova SN 2023-aeaf at redshift 3.195, whose light traveled about 11.7 billion years, making it one of the most distant confirmed exploding stars.\",\"source\":\"Phys.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-08-31T14:50:01.000Z\",\"publisher_count\":1,\"sources\":[\"Phys.org\"]},{\"statement\":\"Isaac Malsky and co-authors present a machine learning local-box chemical kinetics solver for exoplanet atmospheres that uses a residual flow-map architecture.\",\"source\":\"arXiv.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-02T04:00:00.000Z\",\"publisher_count\":1,\"sources\":[\"arXiv.org\"]},{\"statement\":\"The surrogate model is several orders of magnitude faster than a classical solver, achieving microsecond-scale inference while retaining percent-level accuracy.\",\"source\":\"arXiv.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-02T04:00:00.000Z\",\"publisher_count\":1,\"sources\":[\"arXiv.org\"]},{\"statement\":\"Based on comparisons of its light curve and colour with simulated supernova populations, the team led by Valeria Aparicio classified SN 2023-aeaf as a Type II supernova with a probability of 97.2%.\",\"source\":\"Phys.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-08-31T14:50:01.000Z\",\"publisher_count\":1,\"sources\":[\"Phys.org\"]},{\"statement\":\"The study was published in The Astrophysical Journal on 2026-08-13, with lead author con Valeria Aparicio from the Institute for Astronomy at the University of Hawaiʻi.\",\"source\":\"Phys.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-08-31T14:50:01.000Z\",\"publisher_count\":1,\"sources\":[\"Phys.org\"]},{\"statement\":\"The supernova's host galaxy is a young, low-mass star-forming dwarf galaxy with relatively few heavy elements, which the team said is consistent with the metal-poor environment of a cosmic star-formed star galaxy at a similar redshift.\",\"source\":\"Phys.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-08-31T14:50:01.000Z\",\"publisher_count\":1,\"sources\":[\"Phys.org\"]},{\"statement\":\"The model outperforms several commonly used machine learning architectures and performs robustly under the extreme stiffness characteristic of atmospheric chemistry.\",\"source\":\"arXiv.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-02T04:00:00.000Z\",\"publisher_count\":1,\"sources\":[\"arXiv.org\"]},{\"statement\":\"The surrogate model covers a parameter space spanning T=300-3000 K, P=10^-6 to 10^4 bar, Δt=10^-3 to 10^8 s, and compositions from 10^-2 to 10^3 times solar in both C/O ratio and metallicity.\",\"source\":\"arXiv.org\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-02T04:00:00.000Z\",\"publisher_count\":1,\"sources\":[\"arXiv.org\"]}]", "kind": "news" }, "receipt_verify": "Ed25519 over the dot-joined string `slice_hash.cursor_from.cursor_to.view.view_version.row_count`; public_key and sig are base64url of the raw 32-byte key / 64-byte signature", "receipt": null, "receipt_note": "this revision predates receipt-keeping (before v0.37.0); the filed row lives in the record", "generation_chain": { "wire": { "stream": "fountain_news", "story_id": "c574e9f9aab8a2eee8c2c5f10894fd8e", "thread_id": "0a09873d6ee1dd811aaf4f3fd6276167", "thread_label": "The Astrophysical Journal", "novelty": "UPDATE", "content_hash": "eacfe43b27a853e5ae67e2623771882c964732e235737ba23933461d8b765699", "last_published_at": "2026-09-02T04:00:00.000Z", "read_receipt": { "slice_hash": "3905664cf10c2126ea131af76eb59a4e670141af2a4606d101f9336a8aaf6e3e", "cursor_from": "eyJ0cyI6IjIwMjYtMDktMDJUMDM6NDM6MDAuMDAwMDAwWiIsImlkIjoiZjIzZjc5YTk3YjM4MGMyNDgzZTRlNzYxMjNlZjg2M2QiLCJ2IjoiMSJ9", "cursor_to": "eyJ0cyI6IjIwMjYtMDktMDJUMDQ6MDQ6MjYuMDAwMDAwWiIsImlkIjoiN2M3MjY3YjA5MzczMjU3ZjI0ZDZiY2NmZWY3ZDVjNGUiLCJ2IjoiMSJ9", "view": "v_fountain_news", "view_version": "1", "row_count": 100, "window_days": 3, "bytes_scanned": 12017721, "credits": 8, "price_per_100_rows": 8, "sig": "juwMycx6aGSQfawfzLUaISZZUKKkbvDiOPDpZxKn6fmy0KIBoISR1qDjkJuogjQ0TUgCk4tYeoc9JF0bPKfOCw", "public_key": "bMUigy8O0jOnBxQ4Sc-5lwhIZ8LQVAhxMbR7qESVuUE", "signer_path": "lakehouse/data-extract/v1", "alg": "Ed25519", "signed": true } }, "written_at": "2026-09-02T22:36:01.468Z" }, "cited_facts": [ { "statement": "Astronomers using the James Webb Space Telescope identified supernova SN 2023-aeaf at redshift 3.195, whose light traveled about 11.7 billion years, making it one of the most distant confirmed exploding stars.", "source": "Phys.org", "instrument": "News", "claim_key": null, "published_at": "2026-08-31T14:50:01.000Z", "publisher_count": 1, "sources": [ "Phys.org" ] }, { "statement": "Isaac Malsky and co-authors present a machine learning local-box chemical kinetics solver for exoplanet atmospheres that uses a residual flow-map architecture.", "source": "arXiv.org", "instrument": "News", "claim_key": null, "published_at": "2026-09-02T04:00:00.000Z", "publisher_count": 1, "sources": [ "arXiv.org" ] }, { "statement": "The surrogate model is several orders of magnitude faster than a classical solver, achieving microsecond-scale inference while retaining percent-level accuracy.", "source": "arXiv.org", "instrument": "News", "claim_key": null, "published_at": "2026-09-02T04:00:00.000Z", "publisher_count": 1, "sources": [ "arXiv.org" ] }, { "statement": "Based on comparisons of its light curve and colour with simulated supernova populations, the team led by Valeria Aparicio classified SN 2023-aeaf as a Type II supernova with a probability of 97.2%.", "source": "Phys.org", "instrument": "News", "claim_key": null, "published_at": "2026-08-31T14:50:01.000Z", "publisher_count": 1, "sources": [ "Phys.org" ] }, { "statement": "The study was published in The Astrophysical Journal on 2026-08-13, with lead author con Valeria Aparicio from the Institute for Astronomy at the University of Hawaiʻi.", "source": "Phys.org", "instrument": "News", "claim_key": null, "published_at": "2026-08-31T14:50:01.000Z", "publisher_count": 1, "sources": [ "Phys.org" ] }, { "statement": "The supernova's host galaxy is a young, low-mass star-forming dwarf galaxy with relatively few heavy elements, which the team said is consistent with the metal-poor environment of a cosmic star-formed star galaxy at a similar redshift.", "source": "Phys.org", "instrument": "News", "claim_key": null, "published_at": "2026-08-31T14:50:01.000Z", "publisher_count": 1, "sources": [ "Phys.org" ] }, { "statement": "The model outperforms several commonly used machine learning architectures and performs robustly under the extreme stiffness characteristic of atmospheric chemistry.", "source": "arXiv.org", "instrument": "News", "claim_key": null, "published_at": "2026-09-02T04:00:00.000Z", "publisher_count": 1, "sources": [ "arXiv.org" ] }, { "statement": "The surrogate model covers a parameter space spanning T=300-3000 K, P=10^-6 to 10^4 bar, Δt=10^-3 to 10^8 s, and compositions from 10^-2 to 10^3 times solar in both C/O ratio and metallicity.", "source": "arXiv.org", "instrument": "News", "claim_key": null, "published_at": "2026-09-02T04:00:00.000Z", "publisher_count": 1, "sources": [ "arXiv.org" ] } ], "note": "A signature proves who filed this and that it has not changed since. It never makes a claim true." }