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19 | 19 | "Data Release: <a href=\"https://dp1.lsst.io/\">Data Preview 1</a> <br>\n", |
20 | 20 | "Container Size: large <br>\n", |
21 | 21 | "LSST Science Pipelines version: Release r29.2.0 <br>\n", |
22 | | - "Last verified to run: 2026-01-22 <br>\n", |
| 22 | + "Last verified to run: 2026-01-29 <br>\n", |
23 | 23 | "Repository: <a href=\"https://github.com/lsst/tutorial-notebooks\">github.com/lsst/tutorial-notebooks</a> <br>" |
24 | 24 | ] |
25 | 25 | }, |
|
170 | 170 | "\n", |
171 | 171 | "### 2.1. Get a sample of DiaObjects\n", |
172 | 172 | "\n", |
173 | | - "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", |
| 173 | + "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", |
174 | 174 | "\n", |
175 | 175 | "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", |
176 | 176 | "\n", |
|
340 | 340 | "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", |
341 | 341 | "\n", |
342 | 342 | "* `nDiaSources` > 40: Candidate has more than 40 `DiaSource` detections (in all bands); applied in TAP query.\n", |
343 | | - "* `r_scienceFluxMean` S/N > 5: Candidate has signal-to-noise larger than 5 in the `visit_image`s.\n", |
| 343 | + "* `r_scienceFluxMean` S/N > 5: Candidate has signal-to-noise larger than 5 in the `visit_image`s; applied in TAP query.\n", |
344 | 344 | "* `r_psfFluxSigma` > 0.02: Candidate has flux variations with sigma larger than 2 percent.\n", |
345 | 345 | "* `r_psfFluxIQRFrac` > 0.05: Candidate has IQR flux variations with larger than 5 percent.\n", |
346 | 346 | "* `r_psfFluxStetsonJ` > 10: Candidate has Stetson J index larger than 10.\n", |
|
524 | 524 | "\n", |
525 | 525 | "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", |
526 | 526 | "\n", |
527 | | - "Describe how we measure the period via Lomb-Scargle, and how the LC is phased.\n", |
528 | | - "\n", |
529 | 527 | "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." |
530 | 528 | ] |
531 | 529 | }, |
|
773 | 771 | "source": [ |
774 | 772 | "tab" |
775 | 773 | ] |
| 774 | + }, |
| 775 | + { |
| 776 | + "cell_type": "code", |
| 777 | + "execution_count": null, |
| 778 | + "id": "17b494c9-9a90-49f3-a57d-2673378d53ce", |
| 779 | + "metadata": {}, |
| 780 | + "outputs": [], |
| 781 | + "source": [] |
776 | 782 | } |
777 | 783 | ], |
778 | 784 | "metadata": { |
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