(DhpComparisonRecord
#-------------------------------------------------------------------------
#                Comparison specifics - histogram pahts, comparisons
#                to do, etc.
#-------------------------------------------------------------------------
# Frequency for check (in seconds)
  (checkInterval  120)       

# The title of the histograms to be compared
  (title "H1d0")        

# The path to the histogram
  (path "DIR1")              

# Function to fit:
  (RefFit "Polynomial(1)+Gaussian")
# "Polynomial", "Gaussian"

# seedValues bunch the seed parameters by function component.  In
# the example below, (23,0) are the two parameters needed for a
# first order polynomial.  (50,3.08,0.010) are the area, mean and
# width of a Gaussian respectively.

  (seedValues  (23,0) (50,3.08,0.010) )        

# expectedValues bunch the expected values of the parameters by
# function component.  In the example below, ( () (0,-5,5) )
# represents the expected values for the polynomial and
# ( () (3.08,-5,5) (0.010,-5,5) ) represents the expected values
# for the Gaussian.
#
# For the polynomial, the first parameter is ignored.  The second
# parameter is expected to be 0 within +5 or -3 sigma.  If it is
# not, the confidence level will be multiplied by 0.01.  The
# confidence level is initialized to 1.
#
# For the Gaussian, the first parameter is ignored.  The second
# parameter is expected to be withing 5 sigma of 3.08 or the
# confidence level will be multiplied by 0.001.  The third
# parameter is expected to within 5 sigma of 0.010 or the
# confidence level will be multiplied by .1
  (expectedValues ( () (0,-3,5,.01) ) ( () (3.08,-5,5,.001) (0.010,-5,5,.1) ) )

# Parameters for the functions are in scientific notation, e.g.
# 314.15E-02 (or just 3.1415 will work of course)

#-------------------------------------------------------------------------
#                    Responses (can have many or only one)
#                    3 types: stream, logfile, or email
#-------------------------------------------------------------------------
 (streamResponse

# Min and Max set the confidence level range for which the result
# of a comparison will trigger this particular response.
# The values range between 0 and 1.
  (min 0)
  (max 0)

# binAlarmType is important when using a bin comparator
#  Currently, the available values are 0,1,2,3.
#   Values 0 and 1 will result in summary responses.
#    For example, in a 1D histogram if 3 channels go
#     from DEAD to HOT, then there will be a message
#     for that transition, stating that 3 channels 
#     went from DEAD to HOT.
#   Values 2 and 3 will result in individual responses.
#     For example, in a 1D histogram, if 3 channels go
#      from DEAD to HOT, then there will be 3 messages
#      for that transition, each stating the particular
#      channel number with the problem.
#   Values 0 and 2 are similar in that messages will
#     be triggered for OK to DEAD, OK to HOT, DEAD to HOT,
#     DEAD to ALIVE, HOT to DEAD, HOT TO ALIVE transitions.
#     In a logFileResponse, severities for such transitions
#     will be of level ErrLog::error, except for transitions
#     to ALIVE, where the severity will be of level ErrLog::warning.
#   Values 1 and 3 are similar in that messages will be
#     triggered for all transitions where the state changes.
#     In a logFileResponse, all severities for such
#     transitions will be of level ErrLog::error.

  (binAlarmType 0)

# the message to be streamed, should be specific enough for a person to 
# understand the system causing the failed comparison as well as the
# nature of the problem; should also be brief enough that it can be read 
# in a glance i.e. a one-liner.

  (msg "Place message here")  

# Stream Type: 1 corresponds to a screen output, 2 corresponds to a 
# file output with time-stamped entry
  (stype 1)

# File name is given by name below.  File is created
# if it doesn't exist, otherwise it is appended to.
# Name of file (see stype)
  (name "")                 

  )