  Recently, much attention has been focused on the replicability of scientific
results, causing scientists, statisticians, and journal editors to examine
closely their methodologies and publishing criteria. Experimental particle
physicists have been aware of the precursors of non-replicable research for
many decades and have many safeguards to ensure that the published results are
as reliable as possible. The experiments require large investments of time and
effort to design, construct, and operate. Large collaborations produce and
check the results, and many papers are signed by more than three thousand
authors. This paper gives an introduction to what experimental particle physics
is and to some of the tools that are used to analyze the data. It describes the
procedures used to ensure that results can be computationally reproduced, both
by collaborators and by non-collaborators. It describes the status of publicly
available data sets and analysis tools that aid in reproduction and recasting
of experimental results. It also describes methods particle physicists use to
maximize the reliability of the results, which increases the probability that
they can be replicated by other collaborations or even the same collaborations
with more data and new personnel. Examples of results that were later found to
be false are given, both with failed replication attempts and one with
alarmingly successful replications. While some of the characteristics of
particle physics experiments are unique, many of the procedures and techniques
can be and are used in other fields.
