Bokeh Figure

.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_tutorials/workflows/workflows.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_auto_tutorials_workflows_workflows.py: Putting Everything Together =========================== Putting :doc:`multi-target operations <../multiple_targets/multi_target_query>`, :meth:`~ATK.Models.DataSet.split`, :meth:`~ATK.Models.DataSet.merge`, and :doc:`datapage generation <../datapages/datapage_plotting>` together allows for sophisticated workflows. The following example shows a set of 2-target light curve queries to ASAS-SN and TESS: .. GENERATED FROM PYTHON SOURCE LINES 8-19 .. code-block:: Python from ATK import query, grid import astropy.units as u targets = [5346631922949364864, 587316166180416640] asassn_data = query("lightcurve", targets=targets, survey="asassn", path="assasn_data.fits.gz") tess_data = query("lightcurve", targets=targets, survey="tess", path="tess_data.fits.gz") .. GENERATED FROM PYTHON SOURCE LINES 29-32 | The returned :class:`~ATK.Models.DataSet` objects can then be merged: .. GENERATED FROM PYTHON SOURCE LINES 32-36 .. code-block:: Python all_lcs = asassn_data.merge(tess_data) all_lcs.show() .. rst-class:: sphx-glr-script-out .. code-block:: none .kind: Lightcurve .targets: 5346631922949364864 | 170.1° -54.7° (icrs, 2016-01-01T00:00:00.000, 3.0″), 587316166180416640 | 141.185° 8.031° (icrs, 2016-01-01T00:00:00.000, 3.0″) .exception: False .data: survey: asassn band: v correction: full search_pos: 170.1° -54.7° (icrs, 2015-01-01T00:00:00.000) separation: 0.019″ mjd: [57422.291, 57425.327, ..., 58327.981, 58333.972] d mag: [11.922, 11.987, ..., 11.963, 12.079] mag mag_err: [0.002, 0.001, ..., 0.001, 0.003] mag ra: [170.1, 170.1, ..., 170.1, 170.1] ° dec: [-54.7, -54.7, ..., -54.7, -54.7] ° survey: asassn band: g correction: full search_pos: 170.1° -54.7° (icrs, 2015-01-01T00:00:00.000) separation: 0.019″ mjd: [58282.109, 58282.753, ..., 60835.954, 60838.126] d mag: [12.097, 12.213, ..., 12.196, 12.198] mag mag_err: [0.001, 0.002, ..., 0.003, 0.003] mag ra: [170.1, 170.1, ..., 170.1, 170.1] ° dec: [-54.7, -54.7, ..., -54.7, -54.7] ° survey: asassn band: v correction: full search_pos: 141.185° 8.031° (icrs, 2015-01-01T00:00:00.000) separation: 0.243″ mjd: [55946.483, 55954.478, ..., 58407.619, 58431.588] d mag: [17.58, 17.911, ..., 17.3, 17.53] mag mag_err: [0.152, 0.177, ..., 0.179, 0.202] mag ra: [141.185, 141.185, ..., 141.185, 141.185] ° dec: [8.031, 8.031, ..., 8.031, 8.031] ° survey: asassn band: g correction: full search_pos: 141.185° 8.031° (icrs, 2015-01-01T00:00:00.000) separation: 0.243″ mjd: [58056.48, 58080.455, ..., 60674.38, 60704.982] d mag: [17.774, 18.085, ..., 17.467, 18.217] mag mag_err: [0.181, 0.204, ..., 0.097, 0.188] mag ra: [141.185, 141.185, ..., 141.185, 141.185] ° dec: [8.031, 8.031, ..., 8.031, 8.031] ° +2 more ... Available Methods: .add(), .apply(), .from_target(), .merge(), .open(), .plot(), .save(), .show(), .split(), .store() .. GENERATED FROM PYTHON SOURCE LINES 37-40 | Power spectra can be generated across the merged data set: .. GENERATED FROM PYTHON SOURCE LINES 40-44 .. code-block:: Python all_pspec = all_lcs.apply("pspec", fmin=0, fmax=10, samples=50000, inplace=False) all_pspec.show() .. rst-class:: sphx-glr-script-out .. code-block:: none .kind: Lightcurve .targets: 5346631922949364864 | 170.1° -54.7° (icrs, 2016-01-01T00:00:00.000, 3.0″), 587316166180416640 | 141.185° 8.031° (icrs, 2016-01-01T00:00:00.000, 3.0″) .exception: False .data: survey: asassn band: v, g frequency: [0.0, 0.0, ..., 10.0, 10.0] d⁻¹ power: [0.0, 0.066, ..., 0.006, 0.022] fopt: 0.002 d⁻¹ popt: 416.658 d survey: asassn band: v, g frequency: [0.0, 0.0, ..., 10.0, 10.0] d⁻¹ power: [0.0, 0.006, ..., 0.0, 0.001] fopt: 5.547 d⁻¹ popt: 0.18 d survey: tess band: Tmag frequency: [0.0, 0.0, ..., 10.0, 10.0] d⁻¹ power: [0.0, 0.036, ..., 0.001, 0.001] fopt: 0.076 d⁻¹ popt: 13.227 d survey: tess band: Tmag frequency: [0.0, 0.0, ..., 10.0, 10.0] d⁻¹ power: [0.0, 0.003, ..., 0.0, 0.0] fopt: 5.546 d⁻¹ popt: 0.18 d Available Methods: .add(), .apply(), .from_target(), .merge(), .open(), .plot(), .save(), .show(), .split(), .store() .. GENERATED FROM PYTHON SOURCE LINES 45-48 | The light curves in the merged :class:`~ATK.Models.DataSet` can also be phase-folded and binned: .. GENERATED FROM PYTHON SOURCE LINES 48-53 .. code-block:: Python all_fold = all_lcs.apply("fold", fmin=0, fmax=10, samples=50000, inplace=False) all_fold.apply("bin", bins=200) all_fold.show() .. rst-class:: sphx-glr-script-out .. code-block:: none .kind: Lightcurve .targets: 5346631922949364864 | 170.1° -54.7° (icrs, 2016-01-01T00:00:00.000, 3.0″), 587316166180416640 | 141.185° 8.031° (icrs, 2016-01-01T00:00:00.000, 3.0″) .exception: False .data: survey: asassn band: v mag: [17.3, 17.53, ..., 16.739, 16.903] mag mag_err: [0.179, 0.202, ..., 0.201, 0.055] mag phase: [0.048, 0.062, ..., 0.925, 0.981] fopt: 0.001 d⁻¹ popt: 1666.633 d survey: asassn band: g mag: [17.896, 18.104, ..., 16.87, 18.232] mag mag_err: [0.129, 0.103, ..., 0.057, 0.132] mag phase: [0.015, 0.02, ..., 0.964, 0.979] fopt: 0.001 d⁻¹ popt: 1666.633 d survey: asassn band: v mag: [12.052, 12.079, ..., 12.081, 12.066] mag mag_err: [0.001, 0.003, ..., 0.002, 0.002] mag phase: [0.003, 0.007, ..., 0.99, 0.995] fopt: 2.773 d⁻¹ popt: 0.361 d survey: asassn band: g mag: [12.23, 12.23, ..., 12.166, 12.209] mag mag_err: [0.002, 0.001, ..., 0.001, 0.001] mag phase: [0.003, 0.008, ..., 0.992, 0.997] fopt: 2.773 d⁻¹ popt: 0.361 d +2 more ... Available Methods: .add(), .apply(), .from_target(), .merge(), .open(), .plot(), .save(), .show(), .split(), .store() .. GENERATED FROM PYTHON SOURCE LINES 54-57 | Finally, the acquired :class:`~ATK.Models.DataSet` objects can be combined into **datapages**: .. GENERATED FROM PYTHON SOURCE LINES 57-67 .. code-block:: Python layout = [[all_lcs, all_lcs, all_lcs, all_lcs, all_lcs], [all_lcs, all_lcs, all_lcs, all_lcs, all_lcs], [all_pspec, all_pspec, all_fold, all_fold, all_fold], [all_pspec, all_pspec, all_fold, all_fold, all_fold]] datapages = grid(layout) datapages.open(targets[0]) .. raw:: html

Bokeh Figure

.. GENERATED FROM PYTHON SOURCE LINES 80-85 | | | .. rubric:: Download this Tutorial .. rst-class:: sphx-glr-timing **Total running time of the script:** (3 minutes 4.671 seconds) .. _sphx_glr_download_auto_tutorials_workflows_workflows.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: workflows.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: workflows.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: workflows.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_