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DP1/300_Science_Demos/305_Galactic_variables_and_transients/305_2_Stellar_Variability_Characterization.ipynb

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"Data Release: <a href=\"https://dp1.lsst.io/\">Data Preview 1</a> <br>\n",
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"Container Size: large <br>\n",
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"LSST Science Pipelines version: Release r29.2.0 <br>\n",
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"Last verified to run: 2026-01-22 <br>\n",
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"Last verified to run: 2026-01-29 <br>\n",
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"Repository: <a href=\"https://github.com/lsst/tutorial-notebooks\">github.com/lsst/tutorial-notebooks</a> <br>"
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"\n",
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"### 2.1. Get a sample of DiaObjects\n",
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"To identify candidates such as the periodic variable star from the first notebook in the 305-series, we wish to select stars that are varying in brightness significantly (by using, e.g., `[f]_psfFluxSigma`, or some combination of the flux value percentiles from `[f]_psfFluxPercentile05, 25, 50, 75, 95`). We will also use `r_psfFluxStetsonJ`, which reports the Stetson J-index, an indicator of periodic variability.\n",
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"To identify candidates such as the periodic variable star from the first notebook in the 305-series, we wish to select stars that are varying in brightness significantly. We will do so by using `[f]_psfFluxSigma` and the inter-quartile range (IQR) of the fluxes derived from the percentiles `[f]_psfFluxPercentile25` and `[f]_psfFluxPercentile75`. We will also use `r_psfFluxStetsonJ`, which reports the Stetson J-index, an indicator of periodic variability.\n",
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"\n",
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"For this tutorial, we will focus on the *r*-band measurements. Note that the statistics selected below are all based on the difference-image point source flux values, except for `r_scienceFlux*`, which are based on the calibrated `visit_image`.\n",
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"In addition to the `nDiaSources` > 40 and S/N > 5 cuts applied in the TAP query above, filter the `DiaObject` results (defined as `DiaObjsFull`) with the following conditions:\n",
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"\n",
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"* `nDiaSources` > 40: Candidate has more than 40 `DiaSource` detections (in all bands); applied in TAP query.\n",
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"* `r_scienceFluxMean` S/N > 5: Candidate has signal-to-noise larger than 5 in the `visit_image`s.\n",
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"* `r_scienceFluxMean` S/N > 5: Candidate has signal-to-noise larger than 5 in the `visit_image`s; applied in TAP query.\n",
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"* `r_psfFluxSigma` > 0.02: Candidate has flux variations with sigma larger than 2 percent.\n",
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"* `r_psfFluxIQRFrac` > 0.05: Candidate has IQR flux variations with larger than 5 percent.\n",
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"* `r_psfFluxStetsonJ` > 10: Candidate has Stetson J index larger than 10.\n",
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"The lightcurves above show that these objects clearly vary in brightness, but it is unclear whether there is a pattern (for example a periodic signal) in that variability.\n",
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"\n",
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"Describe how we measure the period via Lomb-Scargle, and how the LC is phased.\n",
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"\n",
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"Loop over the candidates, extracting the frequency of the highest peak in the Lomb-Scargle results, and placing each measurement into the correct phase of the star's variability period."
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"source": [
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"tab"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "17b494c9-9a90-49f3-a57d-2673378d53ce",
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"metadata": {},
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"outputs": [],
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"source": []
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"metadata": {

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