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Researcher Evidence Record

Johannes Heyl

This bounded record lists 8 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include astro-ph.GA work dated 2020 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 1 field (astro-ph.GA) · 2020-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning

    astro-ph.GA provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2023 Pith paper

    Disentangling Multiple Emitting Components in Molecular Observations with Non-negative Matrix Factorization

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2023 Pith paper

    Understanding Molecular Abundances in Star-Forming Regions Using Interpretable Machine Learning

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2023 Pith paper

    A statistical and machine learning approach to the study of astrochemistry

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2023 Pith paper

    Investigating the impact of reactions of C and CH with molecular hydrogen on a glycine gas-grain network

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2022 Pith paper

    Identifying the most constraining ice observations to infer molecular binding energies

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2022 Pith paper

    Using Statistical Emulation and Knowledge of Grain-Surface Diffusion for Bayesian Inference of Reaction Rate Parameters: An Application to a Glycine Network

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2020 Pith paper

    Exploiting Network Topology for Accelerated Bayesian Inference of Grain Surface Reaction Networks

    astro-ph.GA provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Johannes Heyl
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 8 of 8 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 1 of 8 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured zero 0 of 8 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 9 of 8 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Johannes Heyl
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • astro-ph.GA8 rows
  • 20201 rows
  • 20222 rows
  • 20234 rows
  • 20251 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.