HR Diagram Position Classifier

Independently verified HR diagram luminosity/temperature-region criteria with overlapping classifications retained; not actual evolutionary state from location alone. Independently declared positive evidence requirements; overlaps and unknowns retained. Model only, not an ephemeris, measured stellar identity or observational guarantee.

Description

An HR-diagram region depends on physical or observational evidence under a classification model.

An HR-diagram region depends on physical or observational evidence under a classification model.^[1]

Unknown annotations preserve candidate regions rather than become inferred stellar identities. Use HR Diagram Position Classifier to evaluate the supplied inputs under the model explained below.

When to use HR Diagram Position Classifier

Use HR Diagram Position Classifier to evaluate the supplied inputs under the model explained below. Define the candidate classes and their positive-evidence requirements, then distinguish evidence presence from whether it is known.

How to use HR Diagram Position Classifier and understand its results

Define the candidate classes and their positive-evidence requirements, then distinguish evidence presence from whether it is known.
Enter Caller hr region class ids, Caller hr region requirements, Observed hr region evidence, Known hr region flags using the field table and validation rules below, then run the tool.
Read Compatible caller classes, Fully witnessed caller classes; interpret the units, signs, ordering and unknown-value placeholders described below.
Correct reported input errors and rerun. Apply successful results according to their specific meanings and check the assumptions before using them in a decision.

Input field	Meaning	Value type	Requirement
callerHrRegionClassIds	Caller hr region class ids	array of string	Required; constraints below
callerHrRegionRequirements	Caller hr region requirements	array of array	Required; constraints below
observedHrRegionEvidence	Observed hr region evidence	array of number	Required; constraints below
knownHrRegionFlags	Known hr region flags	array of number	Required; constraints below

Supply unique nonblank class IDs, one rectangular binary requirement row per class, and aligned binary observation and known-flag arrays. Each class must require at least one positive witness. Requirement 0 ignores an evidence column; requirement 1 needs a known positive observation for full witnessing. An unknown requirement remains compatible, while a known absent requirement excludes the class. Both returned class lists preserve caller order. No readiness rubric is installed and compatible does not mean fully witnessed or approved.

compatible = no required known absence; fully witnessed = every required witness known and positive

Use the field order, units and branch conditions described above.

Output field	Meaning	Value type
compatibleCallerClasses	Caller classes with no known absence of required positive evidence.	array of string
fullyWitnessedCallerClasses	Caller classes with all required positive evidence known and present.	array of string

json

{
  "input": {
    "callerHrRegionClassIds": [
      "a",
      "b"
    ],
    "callerHrRegionRequirements": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedHrRegionEvidence": [
      1,
      0
    ],
    "knownHrRegionFlags": [
      1,
      0
    ]
  },
  "output": {
    "compatibleCallerClasses": [
      "a",
      "b"
    ],
    "fullyWitnessedCallerClasses": [
      "a"
    ]
  }
}

Limitations and assumptions

Unknown annotations preserve candidate regions rather than become inferred stellar identities. Apply the exact scope and assumptions explained above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse arrays fail validation. Domain-specific bounds, alignments and supported tokens are explained above; extremely large inputs or outputs can also be rejected. Input errors differ from successful false results, empty match lists and unknown-evidence placeholders.

Alternative or Complementary methods

Use Spectral Class Properties Lookup for a related task: Spectral classifications summarize properties under a particular classification convention.

Use Main Sequence Mass By Type Lookup for a related task: Main-sequence mass references depend on calibration and stellar classification.

References

HR Diagram Position Classifier — tool.io

Similar or alternative tools

Spectral Class Properties Lookup
Spectral classifications summarize properties under a particular classification convention.
Main Sequence Mass By Type Lookup
Main-sequence mass references depend on calibration and stellar classification.