Independently researched Practical Guide

Metal Detector Discrimination Explained

Discrimination rejects electromagnetic response ranges; it does not identify objects. Every silenced range can contain valuables, especially gold jewelry, unusual coins and targets beside iron.

Step 1Sample openlyDig representative signals to learn the site’s real overlap.
Step 2Separate iron toolsIron Bias/filter, ferrous limits and notch do different jobs.
Step 3Reject measured rangesChange one segment and test known valuables beside trash.
Step 4Recheck masked targetsCross-sweep and expose rejected audio before leaving.
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Bottom line

Use discrimination to manage workload—not to promise treasure-only digging

Begin with a factory pattern or All Metal sample, learn the site’s actual trash, then reject only recurring nuisance ranges whose loss you accept. Use iron audio, cross-sweeps and a smaller coil before applying extreme notch.

Operating rule: Change one variable at a time and retain only repeatable improvements.

Field guide

Starting points and hard limits

SituationBaselineActionCaution
Modern coin cherry-pickCoin factory patternModerate rejectionJewelry and odd coins may be lost
Jewelry searchOpen non-ferrous rangeLow iron rejectionExpect foil and tabs
Dense nailsSmall coil + recovery tuningModerate ferrous controlMax filters can mask coins
Historic mixed siteAll Metal/open CustomDig broad repeatable signalsContext may matter more than ID

Method

Use a controlled workflow

Step 1

Sample openly

Dig representative signals to learn the site’s real overlap.

Step 2

Separate iron tools

Iron Bias/filter, ferrous limits and notch do different jobs.

Step 3

Reject measured ranges

Change one segment and test known valuables beside trash.

Step 4

Recheck masked targets

Cross-sweep and expose rejected audio before leaving.

Decision analysis

What actually changes the result

Notch removes conductivity bands. It cannot know whether a response is a tab, ring, token or coin with the same electromagnetic signature.

Iron Bias and Ferrous Limits are classification controls. They change how ambiguous mixed responses are treated; they are not the same as rejecting a numeric ID column.

No discrimination is the only path to every possible target. Minelab explicitly describes factory patterns as a compromise between recovering good targets and ignoring junk.

FAQ

Seven questions specific to this page

Does discrimination identify the metal?

No. It rejects response ranges based on ferrous/conductive evidence, not object composition.

Can I notch every pull-tab ID?

Yes technically, but doing so rejects gold rings and other valuables in the same range.

Is Iron Bias the same as notch?

No. Iron Bias changes ambiguous ferrous classification; notch accepts or rejects target-ID segments.

Does more discrimination reduce depth?

It can reduce usable depth because weak/deep targets often classify less consistently and may be silenced.

Should beginners use All Metal?

Use it periodically to learn iron context and site density, even if a factory pattern is easier for hunting.

Can a small coil reduce trash without more rejection?

Yes. Its narrower footprint can separate adjacent targets while preserving their individual signals.

What is the safest discrimination strategy?

Start open, sample the site and reject only measured nuisance ranges whose valuable overlap you accept.

Use evidence, not copied numbers

Record the detector, mode, coil and conditions behind every useful result.

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Disclosure: As an Amazon Associate we earn from qualifying purchases. Product conclusions are based on documented features and stated limitations; no hands-on testing is claimed.
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