.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "api/gallery/photochem/jablonski/plot_02_lewis_kasha_triplet_phosphorescence.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_api_gallery_photochem_jablonski_plot_02_lewis_kasha_triplet_phosphorescence.py: Lewis and Kasha: phosphorescence as slow emission from the triplet state ========================================================================== Lewis and Kasha (1944) showed that phosphorescence comes from a triplet state :math:`T_1`, whose spin-forbidden return to the singlet ground state makes it far slower than fluorescence. Using realistic rate constants (nanosecond fluorescence, millisecond phosphorescence), :func:`~chemistrykit.photochem.jablonski_populations_analytic` shows the two emissions separated by six orders of magnitude in time, and :func:`~chemistrykit.photochem.phosphorescence_quantum_yield` gives the fraction of absorbed photons re-emitted from the triplet. .. GENERATED FROM PYTHON SOURCE LINES 16-43 .. code-block:: Python import matplotlib.pyplot as plt import numpy as np from chemistrykit.photochem import ( intersystem_crossing_yield, jablonski_populations_analytic, phosphorescence_quantum_yield, ) kf, kic, kisc = 1.0e8, 2.0e7, 3.0e8 # S1 rates, 1/s (tau_S ~ 2.4 ns) kp, kic_T = 1.0e2, 4.0e2 # T1 rates, 1/s (tau_T = 2 ms) t = np.logspace(-11, -1, 600) S1, T1, _ = jablonski_populations_analytic(kf, kic, kisc, kp, kic_T, 1.0, t) fluorescence = kf * S1 # photons emitted per second (per excited molecule) phosphorescence = kp * T1 fig, ax = plt.subplots() ax.loglog(t, fluorescence, label=r"fluorescence $k_f[S_1]$ (singlet)") ax.loglog(t, phosphorescence, label=r"phosphorescence $k_p[T_1]$ (triplet)") ax.set_ylim(1e-6, 1e9) ax.set_xlabel("Time after excitation (s)") ax.set_ylabel("Emission rate (photons/s per molecule)") ax.set_title("Triplet phosphorescence outlasts singlet fluorescence") ax.legend() fig.tight_layout() .. image-sg:: /api/gallery/photochem/jablonski/images/sphx_glr_plot_02_lewis_kasha_triplet_phosphorescence_001.png :alt: Triplet phosphorescence outlasts singlet fluorescence :srcset: /api/gallery/photochem/jablonski/images/sphx_glr_plot_02_lewis_kasha_triplet_phosphorescence_001.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 44-46 The phosphorescence yield is the product of two branchings: reaching the triplet, then emitting from it. .. GENERATED FROM PYTHON SOURCE LINES 46-52 .. code-block:: Python phi_isc = intersystem_crossing_yield(kisc, kf, kic) phi_p = phosphorescence_quantum_yield(kisc, kf, kic, kp, kic_T) print(f"Singlet lifetime: {1 / (kf + kic + kisc) * 1e9:.2f} ns, triplet lifetime: {1 / (kp + kic_T) * 1e3:.1f} ms") print(f"Phi_isc = {phi_isc:.3f}, triplet emission probability = {kp / (kp + kic_T):.3f}, Phi_p = {phi_p:.3f}") plt.show() .. rst-class:: sphx-glr-script-out .. code-block:: none Singlet lifetime: 2.38 ns, triplet lifetime: 2.0 ms Phi_isc = 0.714, triplet emission probability = 0.200, Phi_p = 0.143 .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.061 seconds) .. _sphx_glr_download_api_gallery_photochem_jablonski_plot_02_lewis_kasha_triplet_phosphorescence.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_02_lewis_kasha_triplet_phosphorescence.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_02_lewis_kasha_triplet_phosphorescence.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_02_lewis_kasha_triplet_phosphorescence.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_