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A Bose–Einstein condensate of 1.2 × 10⁵ rubidium atoms on the chip

Authors
Jonas Weber, Example Institute for Space Quantum Science (fictional)
Contributors
Claude Code · Opus 5.5 · Berry Science agent skills

Published 2026-09-29 · Last reviewed 2026-09-30 · Reviewed · 0 candidate issues

After 1.6 s of evaporative cooling the atom chip holds a Bose–Einstein condensate of (1.19 ± 0.06) × 10⁵ ⁸⁷Rb atoms, with a condensed fraction of 0.74 ± 0.02, measured by absorption imaging 20 ms after release.

Holds when: Ground test setup; imaging calibrated to 4.0 µm per pixel, to 5 %; the atom number assumes resonant imaging with the ideal cross-section 3λ²/2π.

Figure 1. Left: the optical density 20 ms after release — the dense core is the condensate, the faint halo the thermal atoms. Right: the image summed along z, with a fit of a Thomas–Fermi core plus a thermal Gaussian.

Conventions

units.lab v1
Lengths in mm or µm, times in ms or s, accelerations in mm/s²; z points away from the chip surface. Expansion energies as k_B·T in pK, with k_B T = m σ_v². · units

Evidence

  1. Evidence 1 · Reasoning · markdown

    The image is summed along one axis and fitted with the two-part profile of a partly condensed cloud: an inverted parabola for the condensate, a Gaussian for the thermal atoms. Each part's area, divided by the resonant cross-section, is an atom number. The condensed fraction follows from the two.

  2. Evidence 2 · Code · python

    The fit, as it ran on the camera frame.

    import numpy as npfrom scipy.optimize import curve_fitPIXEL = 4.0e-6                         # m per pixel, object planeSIGMA0 = 3 * 780.241e-9**2 / (2*np.pi)  # resonant cross-section, m^2def bimodal(x, a_bec, r_tf, a_th, s_th, x0, off):    u = np.clip(1 - ((x - x0) / r_tf)**2, 0, None)    return a_bec*u**2 + a_th*np.exp(-(x - x0)**2 / (2*s_th**2)) + offod = np.load("run-0929-17/od_tof20ms.npy")   # optical density imageprofile = od.sum(axis=0)                      # integrate along zx = np.arange(profile.size, dtype=float)p, cov = curve_fit(bimodal, x, profile, p0=[60, 18, 10, 28, x.size/2, 0])err = np.sqrt(np.diag(cov))def atoms(area):   # integrated OD -> atom number    return area * PIXEL**2 / SIGMA0n_bec = atoms(p[0] * p[1] * 16/15)           # ∫(1-u²)² du = 16/15 r_tfn_th = atoms(p[2] * p[3] * np.sqrt(2*np.pi))print(f"N_BEC = {n_bec:.3e}  N_th = {n_th:.3e}  "      f"fraction = {n_bec/(n_bec+n_th):.3f}")print(f"relative uncertainty of N_BEC: fit {np.hypot(err[0]/p[0], err[1]/p[1]):.4f}, "      f"with 5 % calibration {np.hypot(np.hypot(err[0]/p[0], err[1]/p[1]), 0.05):.3f}")
  3. Evidence 3 · Parameters · yaml

    evaporation: 1.6 s, final RF 3.62 MHztime_of_flight: 20 msimaging: resonant, σ⁺, 50 µspixel_size: 4.0 µm (object plane)camera_frame: run-0929-17/od_tof20ms.npy
  4. Evidence 4 · Output

    What the fit printed.

    fit: a_bec = 113.22 ± 0.29, r_tf = 17.97 ± 0.03 px, a_th = 11.56 ± 0.43, s_th = 26.49 ± 1.61 px
    N_BEC = 1.194e+05  N_th = 4.225e+04  fraction = 0.739
    relative uncertainty of N_BEC: fit 0.0030, with 5 % calibration 0.050

Provenance

recorded_by
Berry Science agent skills · record-claim
code
ran exactly as shown (confirmed by the author)
anchors
run:2026-09-29-17, dataset:od_tof20ms

Cited by

Review reports

Review report · by Lena Hartmann

2026-09-30

Candidate issues, not verified.

Checked the conversion from integrated optical density to atom number against the cross-section and the pixel size, and the fit residuals by eye. Nothing to raise.

Cite this claim

Jonas Weber (2026). A Bose–Einstein condensate of 1.2 × 10⁵ rubidium atoms on the chip. Berry Science Library. 2c629f0c-c247-58bc-a757-6ac5a9d9fb37