Analysis

EG1 run database
run summary
polarization info

Particle Identification

Electron

Cuts

Calorimeter based cuts

The distributions below represent two types of cuts applied to improve the electron particle identification (PID) using a 4 GeV electron beam incident on an NH3 target. The electron calorimeter is segmented into an inner[math]EC_{inner}[/math] and an outer[math]EC_{outer}[/math] region. The total energy absorbed by the calorimeter system is recorded in the variable [math]EC_{tot}[/math]. The momentum ([math]P[/math]) is calculated using the reconstructed track and the known torus magnetic field. The distributions of [math]EC_{tot}[/math] and [math]EC_{inner}[/math] are shown below where both have been divided by the electron momentum and no cuts have been applied.

[math]EC_{tot}\gt 0.2*p[/math]

Without any cuts we have 181018 entries. After using the following cut [math]EC_{tot}\gt 0.2*p[/math] we are getting 127719 entries, which is about 70.55% of 181018.

[math]EC_{inner}\gt 0.08*p[/math]

After the cut on the energy deposited into inner part of electron calorimeter, number of entries decreases by 22%.

Both cuts [math] EC_{tot}\gt 0.2*p [/math] and [math] EC_{inner}\gt 0.08*p [/math]

In case of using the cuts of the total deposited energy and the energy deposited into inner calorimeter number of entries decreases ~36%

summary table

The "# of triggers" columns represents the number of events which generated a signal above threshold in the calorimeter and the scintillator. The expected # of events column represents the number of reconstructed events with tracks that also make it through the cuts defined in the table.

The semi-inclusive analysis will focus on the 4 GeV and 6 GeV data which have both inbending and outbending torus settings. Specifically runs 28074 - 28579 ( 4 GeV) and Runs 27356 - 27499 and 26874 - 27198 (6 GeV)

Beam Energy	Torus Current	Begin Run	End Run	file used	cuts			# trig([math]10^6[/math])	expected # evts([math]10^6[/math])
					[math]EC_{tot}\gt 0.2*p[/math]	[math]EC_{inner}\gt 0.08*p[/math]	[math]EC_{tot}\gt 0.2*p [/math] and [math] EC_{inner}\gt 0.08*p[/math]
1606	1500	25488	25559	dst25504_02.B00	64%	49.5%	78%	60	3.2
1606	1946	25560	25605			44
1606	1500	25669	25732	dst25669_02.B00	64%	49%	78%	226	10
1606	1500	25742	26221	dst25754_02.B00	21%	11%	24%	3154	13.3
1606	-1500	26222	26359	dst26224_02.B00	4.6%	3%	6.6%	703	13.1
1724	-1500	27644	27798	dst27649_02.B00	4.8%	2.2%	5.9%	211	20
1724	1500	28512	28526			159
1724	-1500	28527	28532			93
2288	1500	27205	27351	dst27225_02.B00	20.2%	13%	25.6%	1647	16.1
2562	-1500	27799	27924	dst27809_02.B00	5.7%	4.6%	8.6%	1441	13.1
2562	-1500	27942	27995	dst27942_02.B00	6.1%	4.4%	8.9%	841	32.3
2562	1500	28001	28069	dst28002_02.B00	27.8%	13%	29.6%	1013	30.7
2792	-1500	27936	27941	dst27937_02.B00	6.7%	5%	9.9%	69	20.6
3210	-2250	28549	28570			436
4239	2250	28074	28277	dst28075_02.B00	35.3%	23.9%	40.5%	2278	19.6
4239	-2250	28280	28479	dst28281_02.B00	9.1%	9.4%	13.6%	2620	15.2
4239	2250	28482	28494			7
4239	-2250	28500	28505			107
4239	2250	28506	28510	dst28509_02.B00	29.5%	22%	36%	75	18.1
5627	2250	27356	27364	dst27358_02.B00	33.2%	27.8%	41.3%	56	19.4
5627	-2250	27366	27380	dst27368_02.B00	12.6%	14.8%	19.5%	130	13.6
5627	2250	27386	27499	dst27388_02.B00	33.4%	27.8%	41.4%	1210	20.2
5627	965	27502	27617			493
5735	-2250	26874	27068	dst26904_02.B00	13%	15%	20%	1709	19.9
5735	2250	27069	27198	dst27070_02.B00	33.3%	28.8%	42.2%	1509	15
5764	-2250	26468	26722	dst26489_02.B00	12.2%	14.4%	19.1%	1189	10
5764	0	26723	26775			268
5764	-2250	26776	26851	dst26779_02.B00	13.5%	15.5%	20.5%	662	15.9

Cut on the number of photoelectrons

In this case is used a cut on the number of photoelectrons, which is [math]nphe\gt 2.5[/math]. The plots below show the effect of the number of photoelectrons cuts on the Cerenkov distribution. We see that after using cut the number of entries decreases ~40.7%

Tamuna: replace these histograms with ones binned correctly to reflect precision of measurement.  Better yet center the bins on integer values. 

Dr. Forest I hope that is right.

Plot of [math]EC_{tot}/p[/math] vs [math]EC_{inner}/p[/math]

In this case is used file dst25754 and the following EC cuts: For ECtotal - [math]EC_{tot}\gt 0.27p - 0.071\sqrt{p}[/math], for EC inner - [math]EC_{inner}\gt 0.08p[/math].

P<3

After using above cuts the number of entries decreases ~23.2%

0.5<P<1

1<P<1.5

1.5<P<2