### What do you see as an issue?

The documentation for zombie tasks https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/tasks.html#zombie-undead-tasks is a bit abstract at the moment. There is a scope for enhancing the document by explaining how Airflow detects tasks as zombies

### Solving the problem

We can enhance the documentation by translating this query https://github.com/astronomer/airflow/blob/main/airflow/jobs/scheduler_job_runner.py#L1721 to a layman readable text in our documentation.

### Anything else

It might also help to add developer contribution steps to reproduce zombies locally.

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

creating_job_id=self.job.id,
                )
                Stats.incr("dataset.triggered_dagruns")
                dag_run.consumed_dataset_events.extend(dataset_events)
                session.execute(
                    delete(DatasetDagRunQueue).where(DatasetDagRunQueue.target_dag_id == dag_run.dag_id)
                )
    def _should_update_dag_next_dagruns(
        self,
        dag: DAG,
        dag_model: DagModel,
        *,
        last_dag_run: DagRun | None = None,
        total_active_runs: int | None = None,
        session: Session,
    ) -> bool:
        """Check if the dag's next_dagruns_create_after should be updated."""
        
        
        if last_dag_run and not (
            last_dag_run.state in State.finished_dr_states
            and last_dag_run.run_type in [DagRunType.SCHEDULED, DagRunType.BACKFILL_JOB]
        ):
            return False
        
        if not dag.timetable.can_be_scheduled:
            return False
        
        if not total_active_runs:
            total_active_runs = dag.get_num_active_runs(only_running=False, session=session)