Processed datasets

Simulation

Processed simulation datasets are temporarily stored in /data/sim/IceCube/2010/filtered/level3-cscd.

Note

The location of the simulation datasets is temporary! They will be moved to /data/ana when that filesytem is expanded in June 2012.

Corsika

Dataset	No. generated files	L2 files per L3 file	Size [GB]	Processing time [CPU-days]	Percent complete
Mass production
6939	100000	100	16.6	7.7	100
6451	100000	100	17	7.8	100
6514	100000	50	1100	70	100
7260	30000	10	774	142	100

Corsika systematics sets

Dataset	Good files	Hadronic model	Base ice model	Variation
7834	10000	QGSJET II	Photonics SpiceMie
8357	12703	EPOS	Photonics SpiceMie
8260	9990	DPMJET	Photonics SpiceMie
8316	2000	SYBILL	Photonics SpiceMie	DOM efficiency 1.08
8419	2000	SYBILL	PPC SpiceMie	DOM efficiency 1.08
8641	2000	SYBILL	PPC SpiceMie	DOM efficiency 0.99
8704	2000	SYBILL	PPC SpiceMie	Absorption +10%
9342	19998	SYBILL	PPC SpiceMie	Absorption +10%
8816	2000	SYBILL	PPC SpiceMie	Scattering +10%
9343	20000	SYBILL	PPC SpiceMie	Scattering +10%
8782	2000	SYBILL	PPC SpiceMie	Absorption/Scattering -7.1%
9344	20000	SYBILL	PPC SpiceMie	Absorption/Scattering -7.1%

Neutrino-Generator

Dataset	Primary	No. generated files	L2 files per L3 file	Size [GB]	Processing time [CPU-days]	Percent complete
6725	\(E^{-2} \,\, \nu_{e}\)	10000	50	43	17.2	100
7785	\(E^{-2} \,\, \nu_{e}\)	10000	50	41	17.6	100
6461	\(E^{-1} \,\, \nu_{e}\)	9983	1	356	147	20
6726	\(E^{-2} \,\, \nu_{\mu}\)	10000	50	4.7	2.2	100
6467	\(E^{-2} \,\, \nu_{\mu}\)	14480	250 [1]	13	6	100
6454	\(E^{-1} \,\, \nu_{\mu}\)	9981	5	39	12.5	5
6937	\(E^{-2} \,\, \nu_{\mu}\) + Corsika	10000	500	4.7	1.9	100
6593	\(E^{-2} \,\, \nu_{\tau}\)	9688	10	35	12.4	5
6466	\(E^{-1} \,\, \nu_{\tau}\)	9970	5	38	13.9	5

[1]	This set was generated with 5 times the nominal number of events per file; see Run numbers in NeutrinoGenerator + PPC simulation.

Neutrino-Generator systematics sets

Dataset	Primary	Base ice model	Variation
8432	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	No oversize DOMs
8485	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	DOM efficiency 0.99
7693	\(E^{-2} \,\, \nu_{e}\)	Photonics SpiceMie	DOM efficiency 0.99
8508	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	DOM efficiency 0.99
9168	\(E^{-1} \,\, \nu_{\mu}\)	Photonics SpiceMie	DOM efficiency 0.99
8498	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	DOM efficiency 1.08
8408	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	DOM efficiency 1.08
8590	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	DOM efficiency jittered
7694	\(E^{-2} \,\, \nu_{e}\)	Photonics SpiceMie	DOM efficiency 0.81
9195	\(E^{-1} \,\, \nu_{\mu}\)	Photonics SpiceMie	DOM efficiency 0.81
8591	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	DOM efficiency 0.81
8639	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	RDE=1.32 for highQE
8681	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	RDE=1.38 for highQE
8682	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	RDE=1.32 for highQE
8682	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	RDE=1.38 for highQE
9405	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	Scattering +10%
9407	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	Absorption +10%
9408	\(E^{-2} \,\, \nu_{\mu}\)	PPC SpiceMie	Absorption & Scattering -7.1%
9411	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	Absorption +10%
9412	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	Scattering +10%
9413	\(E^{-2} \,\, \nu_{e}\)	PPC SpiceMie	Absorption & Scattering -7.1%

Data

Processed data are stored in /data/exp/IceCube/2010/filtered/level3-cscd. There is one file per run.

The burn sample consists of 119 runs with a total livetime of 33 days, 13:32:54 (2899974 seconds). A manifest is provided with the start, stop, and duration of each individual run.

Burn sample: good runs ending in 0

Size [GB]	Livetime [days]	Processing time [CPU-days]	Percent complete
29	33.6	47.8	100

Errata

Run numbers in NeutrinoGenerator + PPC simulation

In order to properly normalize the weights in NeutrinoGenerator simulation, one needs to know the total number of generated events. Since normal production simulation assigns unique run numbers to the events produced in each generation job, the easiest way to calculate the normalization is to count the number of unique runs and multiply by I3MCWeightDict.NEvents. For some sets produced with PPC light propagation, however, the events all have the same run number. These sets were post-processed with a script that detects events produced by different jobs, assigns unique run numbers to the events from each generator, and reorders the events so that the runs appear in order.

NuGen sets with fixed run numbers

Dataset	Notes
6467	All run numbers were 1 5 generator jobs per L2(a) file
7785	All run numbers were 1