Model galaxy populations with a flexible Schechter form. Switch between luminosity and magnitude inputs easily. Integrate counts, compare bins, and export clean summaries today.
| Form | φ* | α | L* or M* | Input | Typical Output |
|---|---|---|---|---|---|
| Luminosity | 0.004 | −1.1 | L* = 1×10¹⁰ | L = 5×10⁹ | φ(L) ~ few ×10⁻¹³ (per unit L) |
| Magnitude | 0.004 | −1.1 | M* = −20.5 | M = −19 | φ(M) ~ 10⁻³ to 10⁻² (mag⁻¹) |
| Magnitude | 0.004 | −1.1 | M* = −20.5 | Mlim = −18 | n(M<Mlim) shown as Mpc⁻³ |
These are illustrative. Real surveys use band-specific M☉ and carefully chosen limits.
A luminosity function describes how many astrophysical sources exist per unit luminosity or per unit magnitude. In galaxy surveys, it links observed counts to underlying formation physics and selection effects. A well-fit function supports comparisons across redshift, environment, or wavelength band.
The Schechter form is widely used because it captures a power-law rise at faint luminosities and an exponential cutoff at the bright end. The faint-end slope α shapes low-luminosity behavior, φ* sets the overall density scale, and L* (or M*) marks the transition region where the exponential suppression becomes important.
This calculator supports both φ(L) and φ(M). The magnitude form uses the mapping x = 10^{0.4(M*−M)} = L/L*. Small changes in magnitude imply multiplicative changes in luminosity, so consistent band definitions and k-corrections are essential when comparing studies.
For many low-redshift optical samples, α commonly lies near −1.0 to −1.3, indicating a rising population of faint objects. Characteristic magnitudes often fall around M* ≈ −20 to −21 in common bands, while φ* values are frequently of order 10^{-3} to 10^{-2} Mpc^{-3}, depending on selection and cosmology choices.
When you enter a target luminosity L or magnitude M, the tool computes φ(L) or φ(M) at that point. The dimensionless ratio x = L/L* (or x = 10^{0.4(M*−M)}) helps you judge where you sit on the curve. Values near x ≈ 1 probe the transition regime, while x ≪ 1 emphasizes the faint-end slope.
Survey questions often focus on “how many sources above a threshold.” The calculator integrates the Schechter form using the upper incomplete gamma function: n(>Lmin) = φ* Γ(α+1, Lmin/L*), and similarly for magnitude limits. This approach is standard for converting fitted parameters into number densities above a defined cut.
Keep units consistent. If L and L* are in solar luminosities, then x is unitless and φ(L) scales as Mpc^{-3} per luminosity unit. If you work in magnitudes, use band-appropriate solar absolute magnitude M☉ when computing L/L☉. Also record the assumed h or cosmological parameters used to quote φ* and M*.
Professional reporting benefits from transparent metadata: the chosen form, parameter values, thresholds, and resulting densities. Use the built-in CSV export for spreadsheets and reproducible pipelines, and the PDF export for quick sharing in notes or proposals. For publications, consider quoting uncertainties from your fit alongside these derived quantities.
α sets the faint-end slope. More negative α means more faint objects relative to bright ones. It strongly influences integrated counts when thresholds probe far below L*.
L* or M* defines the turnover between the power-law and exponential regimes. It anchors the scale where bright objects become increasingly rare.
φ* is a normalization with units of number density (typically Mpc⁻³). It scales the overall abundance of sources for a given fitted shape.
The Schechter integral reduces to an upper incomplete gamma function when expressed in x = L/L*. This provides a stable, standard way to compute n(>Lmin) from fitted parameters.
Yes. In luminosity form, φ(L) is “per unit luminosity,” so its numeric value can be tiny when luminosity units are large. Compare using x = L/L* or convert to binned counts.
Use the solar absolute magnitude appropriate to your bandpass. 4.83 is common for bolometric or V-like contexts, but survey bands often use different M☉ values.
The total number density diverges only if you integrate to L→0. Real surveys apply a finite Lmin or completeness limit, which makes n(>Lmin) well-defined and physically meaningful.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.