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A dip in a public light curve is evidence of a brightness change, not proof of a planet. To assess it defensibly, retrieve the target’s TESS, Kepler or K2 products from the Mikulski Archive for Space Telescopes (MAST), identify the sectors and cadence, inspect both raw and pipeline-corrected data, check data-quality flags and pixel context, and test whether the dip repeats at a consistent phase. Then read the mission’s transit-search and Data Validation products and report the result as a possible transit-like signal or candidate for follow-up unless independent observations have ruled out alternatives.
The workflow below is designed for a reader with basic astronomy or Python knowledge. It separates an astrophysical signal from spacecraft artifacts, bad pixels, gaps, stellar variability and eclipsing binaries, while showing when archival evidence is strong enough to justify further observations.
What a transit signal can—and cannot—tell you
An exoplanet transit occurs when a planet crosses the disk of its host star from our line of sight, blocking a small amount of starlight. In a time-series plot, that geometry can appear as a shallow, approximately repeatable dip. The same visual pattern can be produced by an eclipsing binary, a blended background star, stellar variability, a detector problem or a spacecraft maneuver.
Therefore, the useful question is not “Does the curve dip?” It is “Does the dip survive data-quality checks, recur at a plausible period, appear in the correct source pixels and agree with the mission’s diagnostics?” A single event usually supports only a preliminary alert. Even a recurring signal, a Threshold Crossing Event (TCE) or a Target of Interest (TOI) is not a confirmed exoplanet.
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- Possible transit-like signal: a feature that resembles a transit after basic quality checks but still has unresolved alternatives.
- TCE: a transit-like signal selected by the mission pipeline for additional analysis. It can be instrumental or an astrophysical false positive.
- TOI: a catalog designation for a target requiring follow-up. The catalog can include planet candidates and false positives, and a disposition can change as new data arrive.
- Confirmed planet: a conclusion supported by additional analysis or observations that address competing explanations. A light-curve screen alone does not establish this status.
Keep those labels separate in notes, plots and any public report. Calling an unvetted dip a “discovered planet” overstates what the data show.
1. Identify the star and its available observations
Start at MAST, the official archive for TESS mission data products hosted by the Space Telescope Science Institute. Search by the star’s catalog name or by coordinates. Record the identifier returned by the archive; names can be ambiguous, while a catalog identifier and coordinates let you reproduce the search.
Record the observation inventory
For every matching observation, make a small inventory before downloading files:
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- Sector, campaign or quarter number.
- Observation start and end dates.
- Cadence (the time between measurements).
- Whether the archive offers an extracted Light Curve File (LCF), a Target Pixel File (TPF), a Full Frame Image (FFI) cutout or a Data Validation (DV) product.
- Gaps, duplicated observations or sectors in which the star is absent.
TESS targets observed in more than one sector may have separate products for each sector. Do not assume that a target has continuous coverage, the same cadence in every sector or the same set of files in every release. The dates and cadence determine which periods can actually be tested: a period longer than the observing baseline may produce only one visible event, while gaps can hide otherwise expected events.
Why the sector list matters
A dip seen in one sector is not automatically absent from the rest of the mission. It may fall in a gap, occur outside another sector’s dates or be diluted differently by a changed aperture. Conversely, a feature that appears at the same clock time in several unrelated targets can indicate a spacecraft or detector event rather than a planet. Keep sector boundaries visible on plots and compare events sector by sector.
2. Choose the right public data product
Use the least complicated product that answers the immediate question, then move to pixel-level data when the signal or source context is uncertain.
| Product | What it contains | Best first use | Important limitation |
|---|---|---|---|
| Light Curve File (LCF) | An extracted photometric time series and associated quality information. | Plotting flux versus time, checking gaps and trying an initial period search. | The extraction aperture and background treatment are already chosen; contamination or an unsuitable aperture may be hidden. |
| Target Pixel File (TPF) | The pixels surrounding the target over time, with time and quality metadata. | Checking whether the dimming is centered on the target, testing the aperture and identifying neighboring stars or moving sources. | Requires more analysis and a deliberate aperture; a custom extraction can introduce its own choices. |
| Full Frame Image (FFI) or FFI cutout | Broad image coverage from which custom photometry can be extracted. | Searching many stars or creating a light curve when no target-specific product is available. | Processing is more involved and the effective cadence and systematics depend on the FFI product. |
| Data Validation (DV) report or curve | Pipeline diagnostics for a TCE, including transit consistency and false-positive checks; sector-stitched DV curves may be available for known planets and TOIs. | Understanding how the pipeline classified the signal and reviewing diagnostic plots. | It is a vetting aid, not a guarantee that the object is a planet; the status can change. |
For an initial screen, an LCF is usually sufficient. Open the TPF when the dip might come from a nearby star, when the aperture looks questionable or when the source is crowded. Use an FFI cutout for a wider search or a custom extraction. Read the DV report when a TCE or TOI exists, but interpret every flag and plot rather than treating the headline disposition as final.
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3. Inspect the unaltered time series before detrending
Download the relevant LCF and preserve the original file. Plot the pipeline flux against time for each sector before applying a flattening, smoothing or high-pass filter. The raw view shows whether a candidate coincides with a spacecraft event, an edge of a data gap or a long-term trend that a later operation could hide.
Make the first plot diagnostic, not decorative
Display time in mission time or a clearly labeled astronomical time system, and label the flux quantity and sector. Mark missing values and quality-flagged cadences. Use a second panel for the quality flags or a table of flagged timestamps. Zoom into the suspected dip and also inspect the surrounding hours or days; an isolated point and a multi-cadence drop have very different evidential value.
Look for:
- Long gaps or clusters of missing cadences.
- Single-point spikes, step changes and discontinuities at sector boundaries.
- Noise bursts associated with spacecraft pointing changes or jitter.
- Repeated features at the same spacecraft-related time or cadence in many targets.
- Slow stellar variability that could be mistaken for a broad transit.
- Flux values that change because the pipeline switched apertures or backgrounds.
NASA’s TESS tutorial demonstrates a visibly noisy interval associated with spacecraft jitter, masks that interval and removes outliers after flattening. Follow the same order: identify the problem on the unaltered data, document the mask, then clean. Never let a smoothing operation erase the event you are trying to evaluate.
Keep an analysis log
For each sector, record the file name, cadence selection, quality flags removed, manually masked intervals, outlier rule, detrending window and normalization method. Save the unmodified plot alongside every cleaned plot. If another analyst cannot reconstruct which points were removed, the apparent depth and significance are difficult to audit.
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4. Check quality flags, gaps and outliers
Quality flags are metadata, not an automatic verdict. A flagged cadence may be unusable for precision photometry, while an unflagged cadence can still be affected by a local artifact. Start with the mission-recommended quality filtering, then inspect the resulting light curve visually.
Separate three kinds of suspicious points
- Known bad cadences: points carrying a data-quality flag or lying inside a documented spacecraft event. Exclude them and retain the reason in your log.
- Isolated statistical outliers: individual values far from neighboring points. Remove them only after checking that they are not the ingress or egress of a real event.
- Structured anomalies: several consecutive points with unusual shape or a step in the baseline. Treat these as a possible systematic, not as ordinary outliers; compare with the raw series and other targets or sectors.
Do not clip every extreme value. A real transit can begin or end with only a few cadences, especially at a long cadence. If an outlier-removal rule changes the candidate depth materially, show both versions and explain why one is preferred.
5. Inspect pixels and the source environment
A TPF can answer a question an extracted light curve cannot: where on the detector did the apparent dimming occur? Display a representative pixel image, the chosen photometric aperture and nearby catalog sources if available. Then make a light curve from the target-centered aperture and compare it with the archive’s extracted curve.
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Signs that the target may not be the dimming source
- The dip becomes stronger when pixels away from the target are included.
- The centroid or brightest pixels shift during the event.
- A nearby star is bright enough to contribute a substantial fraction of the aperture flux.
- The feature is present in a neighboring aperture but weak or absent in the target-centered one.
- The event coincides with a moving object, scattered light or a detector edge.
Pixel checks do not by themselves prove a planet. They reduce the chance that a blended eclipsing binary or background variable is being assigned to the wrong star. If the target is crowded or the aperture is unusually large, treat a shallow dip as less secure until higher-resolution or ground-based follow-up separates the sources.
6. Detrend carefully, and compare with the raw evidence
Detrending removes slow instrumental and stellar variations so that a short event is easier to see. It can also distort a transit if the baseline window is too short or if the event is included in the trend model. Apply detrending only after the raw inspection, and keep the raw and corrected curves together.
A defensible cleaning sequence
- Load one sector at a time and remove missing values.
- Apply the documented quality-mask choice.
- Mask known spacecraft-jitter intervals and other intervals justified by the raw plot.
- Normalize the flux so the baseline is near one, retaining the original units separately.
- Remove only clearly isolated outliers, checking that ingress and egress are not clipped.
- Flatten or otherwise detrend with a window long compared with the suspected transit duration.
- Plot the cleaned result over the raw data and note every parameter used.
- Repeat with a reasonable alternate detrending choice. A candidate that exists only under one aggressive setting is weak evidence.
Lightkurve is NASA’s straightforward software entry point for Kepler and TESS light curves, and NASA also lists transit-modeling and false-positive assessment tools. Software output is evidence to interpret, not automatic confirmation. In a report, state which curve was used for the period test and show whether the dip’s depth, duration or shape changes under alternate cleaning.
Illustrative Lightkurve workflow
The following example shows the analysis logic; replace the target identifier, sector and period with values from your MAST inventory. It intentionally preserves a raw copy and displays the cleaned curve rather than silently overwriting the evidence.
import lightkurve as lk
search = lk.search_lightcurve('TARGET-ID', mission='TESS', sector=SECTOR)
lc = search.download()
raw = lc.copy()
# Apply the quality mask supplied by the product, then remove missing values.
clean = lc.remove_nans().remove_outliers()
clean = clean.normalize()
flat = clean.flatten(window_length=WINDOW_LENGTH)
raw.plot(); flat.plot()
folded = flat.fold(period=TRIAL_PERIOD)
folded.plot()Method names and accepted arguments can vary with the installed Lightkurve release, so check the package’s own help output if a call fails. The important practice is reproducibility: save the product identifier, software version, masks and trial period alongside the plot.
7. Test whether the dip repeats at a consistent period
A planet transit should recur when the planet returns to the same orbital phase. Choose a trial period and fold the cleaned light curve: convert each timestamp to its phase modulo that period, then plot all cycles on top of one another. A genuine repeating event should cluster at one phase with a broadly consistent duration and shape.
How to choose and test a trial period
- Estimate the time separation between any two plausible dips. Use that separation and simple multiples or fractions as initial trial periods.
- Fold on each candidate period and inspect the phase plot at several zoom levels.
- Check whether an apparent event at phase zero is actually two events at phases zero and one, which is expected because the plot wraps around.
- Compare odd and even events. Alternating depths or shapes can indicate an eclipsing binary whose primary and secondary eclipses were mistaken for one planet period.
- Inspect each event in the original time series. A coherent folded shape built from one clean event and several artifacts is not a repeat detection.
- Repeat the fold separately for each sector when coverage allows, then combine sectors only after confirming their time systems, cadence and normalization are compatible.
NASA’s tutorial demonstrates folding a TESS curve with an example planet’s known period. For a new target, that period is an inference to test, not a known input. A visually pleasing folded curve can be produced by selecting a period after looking at the data, so record the search range and compare nearby periods rather than reporting only the best-looking plot.
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What recurrence can and cannot establish
Consistent phase, duration and depth strengthen the case for a periodic astrophysical event. They do not distinguish a planet from an eclipsing binary, a blended variable or a repeating instrumental pattern by themselves. The period also has to be compatible with the observing baseline: if only one transit is covered, recurrence remains untested.
8. Read TCE and Data Validation products
Once the basic light-curve and pixel checks are complete, search MAST for the target’s pipeline products. TESS data products can include a TCE report and a Data Validation summary. The one-page DV summary is intended to show whether a TCE is consistent with a transit or instead points toward an eclipsing binary or instrumental noise.
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Diagnostics to review
- Pipeline and detrended light curves, including the individual transit events used by the fit.
- Odd-versus-even transit comparisons.
- Centroid or difference-image information indicating whether the dimming is centered on the target.
- Secondary-eclipse and out-of-transit variability checks.
- Model-fit residuals and whether a transit model leaves structured residuals.
- Sector-to-sector consistency and any data-quality warnings.
A TCE has little to no final vetting. A TOI may be a planet candidate or a false positive, and its disposition can change after additional analysis and follow-up. Record the status and the date you viewed it, then avoid timeless wording such as “the archive confirms.” The correct phrasing is that the current pipeline product lists a TCE or TOI with a stated, provisional disposition.
9. Decide what confidence level the evidence supports
| Observed result | Appropriate statement | What is still needed |
|---|---|---|
| One unexplained dip in one sector | “A possible transit-like feature is present.” | Quality review, pixel check and a second event or independent observations. |
| Repeated, phase-aligned dips after documented cleaning | “The data contain a repeatable transit-like signal and merit follow-up.” | False-positive tests, source verification and additional photometry or other observations. |
| TCE with coherent DV diagnostics | “The pipeline identifies a TCE whose diagnostics are consistent with a transit.” | Independent vetting; a TCE is not confirmation. |
| TOI listed as a planet candidate | “The target currently has provisional TOI candidate status.” | Check the current catalog disposition and obtain follow-up as required. |
| TOI or TCE marked false positive | “The current catalog or DV product classifies the signal as a false positive.” | Do not revive the planet claim without new evidence that addresses the stated reason. |
This vocabulary keeps the conclusion proportional to the evidence. If your analysis disagrees with the current disposition, show the plots, data products, masks and alternative explanations rather than silently replacing the catalog label.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.10. Common failure modes and fixes
The dip disappears after cleaning
Compare the raw and cleaned curves. The detrending window may have absorbed a broad event, or an outlier rule may have removed ingress or egress. Re-run with a longer baseline window, less aggressive clipping and the manually masked intervals documented. If no defensible cleaning preserves the event, downgrade the candidate.
The signal appears only in one sector
Check whether other sectors actually cover the predicted phases. A sector-specific aperture, gap or spacecraft event can explain the difference. Inspect each sector’s TPF and extracted curve separately before combining them.
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Odd and even events have different depths
Test half the apparent period. Alternating primary and secondary eclipses are a classic eclipsing-binary warning. Review the DV odd/even diagnostic and inspect neighboring sources in the TPF.
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The fold looks strong, but the original curve does not
Look for a period chosen after extensive trial folding, repeated systematics at a common cadence or a few points dominating the phase plot. Show individual events, not just the stacked fold, and compare nearby trial periods.
A neighboring source explains the dip
Re-extract a target-centered aperture, inspect centroid or difference-image information and consult the DV source-location diagnostics. Report the signal as a blend or unresolved false-positive possibility unless follow-up separates the stars.
The archive status changed
That is expected for a provisional TCE or TOI. Recheck the current product, note when it was accessed and cite the status as time-dependent. Do not present an old disposition as permanent.
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| Goal | Most suitable route | When to use it |
|---|---|---|
| Fast archival screen | LCF plot, quality review and trial phase folding | You need to decide whether a feature merits more work. |
| Source and contamination check | TPF aperture inspection and custom extraction | The field is crowded, the centroid shifts or the pipeline aperture is unclear. |
| Pipeline-level vetting | TCE and DV reports, including sector-stitched curves where available | A pipeline signal exists and you need standardized diagnostics. |
| Independent confirmation attempt | Ground-based follow-up photometry or other observations | The event is repeatable and alternatives remain plausible. |
NASA’s tool guidance includes Lightkurve, transit-modeling packages and false-positive assessment tools. Use them to quantify and visualize the alternatives, but retain the underlying light curves and assumptions. A sophisticated model cannot repair an incorrect target identifier, a contaminated aperture or a spacecraft artifact.
12. Optional follow-up with Exoplanet Watch
Archival analysis does not require a telescope. If the signal warrants independent timing or source checks, NASA’s Exoplanet Watch program provides robotic-telescope observations to process and free EXOTIC software for turning images into light curves. Its observing guidance emphasizes checking predicted visibility and transit timing before requesting or collecting data.
Follow-up is an escalation, not a prerequisite for examining public data. Plan it only after identifying a plausible period and an observable future event. Compare the new light curve with the archival ephemeris and report weather, cadence, equipment and reduction choices so a non-detection is interpretable rather than treated as proof that the original signal was impossible.
13. Ways to contribute without claiming a discovery
NASA’s Exoplanet Archive FAQ identifies Planet Patrol for assessing which TESS candidates are real and Planet Hunters TESS for searching TESS data for additional signals. These projects can provide structured ways to review candidates or contribute classifications. Participation does not change the evidential standard: a volunteer classification or a promising dip remains a lead until the relevant diagnostics and follow-up address false-positive scenarios.
14. A reproducible reporting checklist
Before publishing a result, sharing it with a project or asking an expert to review it, include:
- Target identifier and coordinates used for the archive search.
- Mission, sectors or campaigns, observation dates and cadence.
- Exact product types and file identifiers.
- Raw light-curve plot with gaps and quality flags visible.
- TPF or FFI image showing the aperture and nearby sources when relevant.
- Every quality mask, manual exclusion and outlier rule.
- Detrending and normalization method, including window choices.
- Trial periods examined and the period used for the displayed fold.
- Individual-event plots and sector-by-sector comparisons.
- TCE, DV or TOI status as viewed, with the access date and any stated caveats.
- A conclusion using “possible transit-like signal,” “candidate for follow-up” or another label no stronger than the evidence.
This record lets someone reproduce the screen and see whether the conclusion depends on a particular cleaning choice. It also prevents a provisional archive label from being mistaken for a permanent scientific result.
Bottom line: what counts as a responsible answer
If a public light curve contains a dip, begin with MAST inventory and raw-data inspection, not a planet claim. Verify the cadence and sector coverage, examine quality flags and pixels, document conservative detrending, fold on trial periods and compare every available event. Then read the TCE and DV products and check the current TOI disposition. The strongest conclusion an archival screen usually supports is that the data contain a repeatable transit-like candidate that deserves expert vetting or follow-up. Confirmation requires evidence that also explains why an eclipsing binary, blended variable, spacecraft artifact or other instrumental effect is not responsible.
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