### Welcome to Filter level2 data vs mc comparisons using downgoing muons

Send questions/comments to jdumm_at_icecube.wisc.edu

This webpage is a collection of plots, comparing available IC22 variables at level2, defined by the Offline_Processing_2007 wiki.
Also, a description of the level2 reconstructions can be found here.
All distributions show downgoing muons (minbias data stream, prescale of 1/200) at trigger level or with a paraboloid Sigma<2.5deg and Ndir>=5 cut.
All data and sim were processed identically using the std-processing meta-project.
The IC22 data is from Sept 28 and 29, 2007.
The simulation comes from corsika 750, coincident 630, and nugen_numu 752.
You can view the descriptions on the simulation webpage.
All plots are scaled to the livetime.
For each variable, I give the plot in linear and log, followed by the exp/sim bin-by-bin ratio in linear and log also.
For a fair comparison, I had to require that enough DOMs are hit for the IceCube SMT so that TWR and IceTop events are not included.

The goal is to show comparisons for relevant cut variables at level2 both at trigger level and with some possible analysis-level cuts.
If the distributions agree for good down-going muons, we can be reasonably
confident that we understand how our cuts will perform on well-reconstructed
neutrinos.
The generic analysis-level cuts I chose were:

Paraboloid Sigma < 2.5 deg

NdirC >= 5

These cuts won't quite get us down to a pure neutrino sample, but they do reduce
the misreconstructed rate to ~ atms neutrino rate.
The neutrinos have a median angular resolution of 1.7deg.

__Index:__

SPE Occupancy

Nchan

Nstring

Zenith

Azimuth

Likelihood

Reduced Likelihood

Bayesian Likelihood Ratio

NdirC

Time Residuals

Perp Distances

Sigma (log10)

Sigma (linear)

Split Reco

It is worth mentioning that there is a known bug in the photonics tables in this simulation. The impact is still being evaluated.

__Basic Observables:__

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

__Reconstructed Observables:__

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Trigger Level (MinBias):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):

#### Cut Level (MinBias, Sigma<2.5deg, Ndir >=5):