/
isolation.go
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/
isolation.go
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// Copyright ©2017 The go-hep Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package fads
import (
"math"
"reflect"
"go-hep.org/x/hep/fmom"
"go-hep.org/x/hep/fwk"
)
type isoclassifier struct {
PtMin float64
}
func (iso isoclassifier) Category(track *Candidate) int {
if track.Mom.Pt() < iso.PtMin {
return -1
}
return 0
}
type Isolation struct {
fwk.TaskBase
candidates string
isolations string
rhos string
output string
deltaRMax float64
ptRatioMax float64
ptSumMax float64
usePtSum bool
classifier isoclassifier
}
func (tsk *Isolation) Configure(ctx fwk.Context) error {
var err error
err = tsk.DeclInPort(tsk.candidates, reflect.TypeOf([]Candidate{}))
if err != nil {
return err
}
err = tsk.DeclInPort(tsk.isolations, reflect.TypeOf([]Candidate{}))
if err != nil {
return err
}
if tsk.rhos != "" {
err = tsk.DeclInPort(tsk.rhos, reflect.TypeOf([]Candidate{}))
if err != nil {
return err
}
}
err = tsk.DeclOutPort(tsk.output, reflect.TypeOf([]Candidate{}))
if err != nil {
return err
}
return err
}
func (tsk *Isolation) StartTask(ctx fwk.Context) error {
var err error
return err
}
func (tsk *Isolation) StopTask(ctx fwk.Context) error {
var err error
return err
}
func (tsk *Isolation) Process(ctx fwk.Context) error {
var err error
deltaRMax2 := tsk.deltaRMax * tsk.deltaRMax
store := ctx.Store()
v, err := store.Get(tsk.candidates)
if err != nil {
return err
}
candidates := v.([]Candidate)
v, err = store.Get(tsk.isolations)
if err != nil {
return err
}
isolations := v.([]Candidate)
var rhos []Candidate = nil
if tsk.rhos != "" {
v, err = store.Get(tsk.rhos)
if err != nil {
return err
}
rhos = v.([]Candidate)
}
output := make([]Candidate, 0)
defer func() {
err = store.Put(tsk.output, output)
}()
input := make([]Candidate, 0, len(isolations))
for i := range isolations {
cand := &isolations[i]
if tsk.classifier.Category(cand) < 0 {
continue
}
input = append(input, *cand)
}
if len(input) <= 0 {
return err
}
for i := range candidates {
cand := &input[i]
eta := math.Abs(cand.Mom.Eta())
sum := 0.0
for j := range input {
iso := &input[j]
if fmom.DeltaR(&cand.Mom, &iso.Mom) <= tsk.deltaRMax && !cand.Overlaps(iso) {
sum += iso.Mom.Pt()
}
}
// find rho
rho := 0.0
for j := range rhos {
obj := &rhos[j]
if eta >= obj.Edges[0] && eta < obj.Edges[1] {
rho = obj.Mom.Pt()
}
}
// correct sum for pile-up contamination
sum = sum - rho*deltaRMax2*math.Pi
ratio := sum / cand.Mom.Pt()
if (tsk.usePtSum && sum > tsk.ptSumMax) || ratio > tsk.ptRatioMax {
continue
}
output = append(output, *cand)
}
return err
}
func newIsolation(typ, name string, mgr fwk.App) (fwk.Component, error) {
var err error
tsk := &Isolation{
TaskBase: fwk.NewTask(typ, name, mgr),
candidates: "InputCandidates",
isolations: "InputIsolations",
rhos: "",
output: "OutputIsolations",
deltaRMax: 0.5,
ptRatioMax: 0.1,
ptSumMax: 5.0,
usePtSum: false,
classifier: isoclassifier{
PtMin: 0.5,
},
}
err = tsk.DeclProp("Candidates", &tsk.candidates)
if err != nil {
return nil, err
}
err = tsk.DeclProp("Isolations", &tsk.isolations)
if err != nil {
return nil, err
}
err = tsk.DeclProp("Rhos", &tsk.rhos)
if err != nil {
return nil, err
}
err = tsk.DeclProp("Output", &tsk.output)
if err != nil {
return nil, err
}
err = tsk.DeclProp("DeltaRMax", &tsk.deltaRMax)
if err != nil {
return nil, err
}
err = tsk.DeclProp("PtRatioMax", &tsk.ptRatioMax)
if err != nil {
return nil, err
}
err = tsk.DeclProp("PtSumMax", &tsk.ptSumMax)
if err != nil {
return nil, err
}
err = tsk.DeclProp("UsePtSum", &tsk.usePtSum)
if err != nil {
return nil, err
}
err = tsk.DeclProp("PtMin", &tsk.classifier.PtMin)
if err != nil {
return nil, err
}
return tsk, err
}
func init() {
fwk.Register(reflect.TypeOf(Isolation{}), newIsolation)
}