Probability Density Calculator

Model Gaussian packets, wells, and oscillators quickly. Get ψ(x) and |ψ|² with interval probabilities included. Use clear units, tables, exports, and educational notes here.

Calculator

All models output ψ(x) and ρ(x).
Converted internally to meters.
Leave blank to skip interval probability.
σ controls spread of the wave packet.
Valid domain is 0 ≤ x ≤ L.
Higher n adds more oscillations.
Example: electron mass 9.11×10⁻³¹ kg.
Standard ħ = 1.054571817×10⁻³⁴ J·s.

Formula used

This tool reports the probability density ρ(x)=|ψ(x)|², where ψ(x) is a normalized wavefunction. Units follow normalization: in one dimension, ρ has units of 1/length.

How to use this calculator

  1. Select a model that matches your physical system.
  2. Enter the position x and choose its unit.
  3. Fill the model parameters (σ and x₀, or L and n, or m and ω).
  4. Optional: enter an interval [a,b] to compute probability in that region.
  5. Press Calculate to display results above the form.
  6. Use Download CSV or Download PDF for exports.

Example data table

Model Inputs x (m) ρ(x) (1/m)
Gaussian x₀=0 m, σ=0.01 m 0.000 56.41896
Gaussian x₀=0 m, σ=0.01 m 0.010 20.75537
Square well L=1 m, n=1 0.500 2.00000
Square well L=1 m, n=2 0.250 2.00000
Oscillator m=9.11e−31 kg, ω=1e13 0.000 5230078.2
Example densities depend strongly on chosen parameters and units.

Understanding probability density in one dimension

In quantum physics, ψ(x) carries amplitude, while ρ(x)=|ψ(x)|² gives the likelihood per unit length near x. In one dimension, ρ has units of 1/length so that the normalization ∫ρ(x)dx equals 1. This calculator evaluates ψ(x), ρ(x), and an optional interval probability P[a,b] for three widely used wavefunctions.

Model 1: Gaussian wave packet

Gaussian packets describe localized particles and short pulses. The width σ controls spread: larger σ lowers the peak density and increases coverage, without changing total probability. Shifting x₀ moves the distribution along x, which is useful for modeling displaced initial states.

Model 2: Infinite square well

The infinite well confines motion to 0≤x≤L and creates standing waves. ψₙ(x)=√(2/L)sin(nπx/L) produces nodes where ψ=0 and a density ρ(x) that oscillates across the well. Increasing n adds more lobes and sharper spatial variation.

Model 3: Harmonic oscillator ground state

The harmonic oscillator approximates motion near a stable equilibrium. The ground state is Gaussian with α=mω/ħ, so heavier masses or larger ω make the distribution narrower. This model underpins vibrational physics and near-minimum approximations in many potentials.

Interval probability and quick validation

P[a,b]=∫abρ(x)dx is dimensionless and must lie between 0 and 1. If you choose a broad interval for the Gaussian or oscillator models, the probability should approach 1. For a Gaussian, the region x₀±2σ contains about 95% of the total probability. For the well model, the interval is effectively limited to the physical region [0,L].

Units, scaling, and reporting

Because ρ scales as 1/length, changing the length unit changes the numeric density. A value reported as 10 1/m corresponds to 0.10 1/cm. For consistent comparisons, keep units fixed across runs and report both the parameters and the chosen unit system. As a guide, teaching examples often use L from 0.1 to 2 m and σ from 0.001 to 0.1 m.

Interpreting peaks, nodes, and tails

A higher ρ(x) means more probability density at that location, not certainty at a single point. Nodes in the well force ρ=0 at specific x values, while Gaussian tails never become exactly zero. For decisions, compare integrated probability over regions instead of single-point values.

Using exports for analysis workflows

Use CSV export to collect multiple evaluations into spreadsheets and plots. Use PDF export to capture a clean snapshot for lab notes or sharing. For model checks, sample ρ(x) at many x values and verify that numerical integration approximates 1 within your tolerance.

FAQs

1) Why does probability density have units of 1/length?

Because total probability is an integral: ∫ρ(x)dx must equal 1. In one dimension, dx has units of length, so ρ must carry 1/length to keep the probability dimensionless.

2) Is ψ(x) always real in this calculator?

These three models are implemented in their common real-valued forms. Many quantum states are complex, but the probability density still uses ρ=|ψ|², which the calculator conceptually follows.

3) What does a larger σ mean for the Gaussian model?

A larger σ spreads the wave packet over a wider region. The peak probability density decreases while the distribution becomes broader, keeping total probability normalized to 1.

4) Why is ρ(x)=0 outside the square well?

The infinite well assumes impenetrable walls, so the wavefunction is constrained to be zero outside 0≤x≤L. Squaring it keeps the probability density zero there.

5) How should I choose interval limits [a,b]?

Pick a region that matches your question, such as “within one σ of the center” or “the left half of the well.” The output P[a,b] summarizes probability mass in that region.

6) What happens if I swap a and b?

The calculator automatically orders the interval so that a≤b. This prevents negative probabilities and makes it easier to enter bounds without worrying about direction.

7) Why can ρ(x) be very large for the oscillator example?

If α is large, the distribution becomes very narrow, concentrating probability near x=0. A narrow distribution can have a high peak density while still integrating to a total probability of 1.

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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.