Adjustment of program verify targets corresponding to a last programming distribution and a programming distribution adjacent to an initial programming distribution

A method comprising:

• determining, by a processing device, a plurality of difference error counts (Diff-EC) that are indicative of relative widths of valleys, wherein each of the valleys is located between a respective pair of program distributions of memory cells of the memory device;
• and
• performing a program targeting operation on a memory cell of the memory device to calibrate one or more program verify (PV) targets associated with the programming distributions, wherein performing the program targeting operation comprises:
• selecting a rule from a set of rules based on the plurality of difference error counts, wherein the set of rules corresponds to an adjusting of a PV target of a last programming distribution;
• and
• adjusting, based on the selected rule, the one or more PV targets of a plurality of PV targets associated with the programming distributions.

A non-transitory computer-readable medium comprising instructions that, responsive to execution by a processing device, cause the processing device to perform operations comprising:

• determining a plurality of difference error counts (Diff-EC) that are indicative of relative widths of valleys, wherein each of the valleys is located between a respective pair of program distributions of memory cells of the memory device;
• and
• performing a program targeting operation on a memory cell of the memory device to calibrate one or more program verify (PV) targets associated with the programming distributions, wherein performing the program targeting operation comprises:
• selecting a rule from a set of rules based on the plurality of difference error counts, wherein the set of rules corresponds to an adjusting of a PV target of a last programming distribution;
• and
• adjusting, based on the selected rule, the one or more PV targets of a plurality of PV targets associated with the programming distributions.