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Port minimal simulation

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This commit is contained in:
Alexander Nozik 2019-12-30 11:40:37 +03:00
parent 1ebc9c5cda
commit f88c184a61
16 changed files with 827 additions and 98 deletions
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2
dataforge-vis-common/src/jvmTest/kotlin/hep/dataforge/vis/fx/demo/MetaEditorDemo.kt
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@ -25,7 +25,7 @@ class MetaEditorDemo : View("Meta editor demo") {
}
}.toConfig()
val descriptor = NodeDescriptor.build {
val descriptor = NodeDescriptor {
node("aNode") {
info = "A root demo node"
value("b") {

16
dataforge-vis-spatial/src/jsMain/kotlin/hep/dataforge/vis/spatial/three/ThreeLabelFactory.kt
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@ -8,9 +8,11 @@ import info.laht.threekt.geometries.PlaneBufferGeometry
import info.laht.threekt.materials.MeshBasicMaterial
import info.laht.threekt.objects.Mesh
import info.laht.threekt.textures.Texture
import org.w3c.dom.*
import org.w3c.dom.CanvasRenderingContext2D
import org.w3c.dom.CanvasTextBaseline
import org.w3c.dom.HTMLCanvasElement
import org.w3c.dom.MIDDLE
import kotlin.browser.document
import kotlin.math.PI
import kotlin.reflect.KClass
/**
@ -24,11 +26,13 @@ object ThreeLabelFactory : ThreeFactory<Label3D> {
val context = canvas.getContext("2d") as CanvasRenderingContext2D
context.font = "Bold ${obj.fontSize}pt ${obj.fontFamily}"
context.fillStyle = obj.color ?: "black"
context.textAlign = CanvasTextAlign.CENTER
//context.textBaseline = CanvasTextBaseline.MIDDLE
//context.textAlign = CanvasTextAlign.CENTER
context.textBaseline = CanvasTextBaseline.MIDDLE
val metrics = context.measureText(obj.text)
//canvas.width = metrics.width.toInt()
context.fillText(obj.text, 0.5*metrics.width, 0.5*metrics.width)
context.fillText(obj.text, (canvas.width - metrics.width)/2, 0.5*canvas.height)
// canvas contents will be used for a texture
@ -46,8 +50,6 @@ object ThreeLabelFactory : ThreeFactory<Label3D> {
material
)
//mesh.rotateX(PI)
mesh.updatePosition(obj)
return mesh

19
dataforge-vis-spatial/src/jsMain/kotlin/hep/dataforge/vis/spatial/three/ThreeMaterials.kt
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@ -92,12 +92,23 @@ fun MetaItem<*>.color(): Color {
//fun Material3D?.jsLineMaterial(): Material = this?.config.jsLineMaterial()
fun Mesh.updateMaterial(obj: VisualObject) {
val meta = obj.getProperty(Material3D.MATERIAL_KEY).node?:EmptyMeta
material = MeshBasicMaterial().apply {
val meta = obj.getProperty(Material3D.MATERIAL_KEY).node ?: EmptyMeta
material = if(meta[Material3D.SPECULAR_COLOR]!= null){
MeshPhongMaterial().apply {
color = meta[Material3D.COLOR_KEY]?.color() ?: ThreeMaterials.DEFAULT_COLOR
specular = meta[Material3D.SPECULAR_COLOR]!!.color()
opacity = meta[Material3D.OPACITY_KEY]?.double ?: 1.0
transparent = opacity < 1.0
wireframe = meta[Material3D.WIREFRAME_KEY].boolean?:false
transparent = opacity <= 0.0
wireframe = meta[Material3D.WIREFRAME_KEY].boolean ?: false
needsUpdate = true
}
}else {
MeshBasicMaterial().apply {
color = meta[Material3D.COLOR_KEY]?.color() ?: ThreeMaterials.DEFAULT_COLOR
opacity = meta[Material3D.OPACITY_KEY]?.double ?: 1.0
transparent = opacity <= 0.0
wireframe = meta[Material3D.WIREFRAME_KEY].boolean ?: false
needsUpdate = true
}
}
}

2
dataforge-vis-spatial/src/jvmMain/kotlin/hep/dataforge/vis/spatial/fx/FXCanvas3D.kt
View File

@ -14,7 +14,7 @@ import javafx.scene.paint.Color
import org.fxyz3d.scene.Axes
import tornadofx.*
class FXCanvas3D(val plugin: FX3DPlugin, val spec: CanvasSpec) :
class FXCanvas3D(val plugin: FX3DPlugin, val spec: CanvasSpec = CanvasSpec.empty()) :
Fragment(), Renderer<VisualObject3D>, ContextAware {
override val context: Context get() = plugin.context

13
demo/muon-monitor/build.gradle.kts
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@ -11,6 +11,8 @@ group = "ru.mipt.npm"
useSerialization()
val ktor_version = "1.3.0-rc"
kotlin {
jvm {
@ -28,15 +30,20 @@ kotlin {
sourceSets {
commonMain {
dependencies {
api(project(":dataforge-vis-spatial"))
api(project(":dataforge-vis-spatial-gdml"))
implementation(project(":dataforge-vis-spatial"))
}
}
jvmMain{
dependencies {
implementation("org.apache.commons:commons-math3:3.6.1")
implementation("io.ktor:ktor-server-cio:$ktor_version")
}
}
}
}
application {
mainClassName = "hep.dataforge.vis.spatial.demo.FXDemoAppKt"
mainClassName = "ru.mipt.npm.muon.monitor.MMDemoAppKt"
}
configure<JavaFXOptions> {

12
demo/muon-monitor/src/commonMain/kotlin/ru/mipt/npm/muon/monitor/Event.kt
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@ -1,14 +1,18 @@
package ru.mipt.npm.muon.sim
@file:UseSerializers(Point3DSerializer::class)
package ru.mipt.npm.muon.monitor
import hep.dataforge.vis.spatial.Point3D
import hep.dataforge.vis.spatial.Point3DSerializer
import kotlinx.serialization.Serializable
import ru.mipt.npm.muon.monitor.Line
import kotlinx.serialization.UseSerializers
typealias Track = List<Point3D>
/**
* Created by darksnake on 11-May-16.
*
*/
@Serializable
data class Event(val track: Line, val hits: Set<String>) {
data class Event(val track: Track?, val hits: Collection<String>) {
/**
* The unique identity for given set of hits. One identity could correspond to different tracks
*/

29
demo/muon-monitor/src/commonMain/kotlin/ru/mipt/npm/muon/monitor/Model.kt
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@ -2,13 +2,10 @@ package ru.mipt.npm.muon.monitor
import hep.dataforge.vis.common.removeAll
import hep.dataforge.vis.spatial.*
import ru.mipt.npm.muon.sim.Event
import ru.mipt.npm.muon.sim.Monitor
import ru.mipt.npm.muon.sim.Monitor.CENTRAL_LAYER_Z
import ru.mipt.npm.muon.sim.Monitor.LOWER_LAYER_Z
import ru.mipt.npm.muon.sim.Monitor.UPPER_LAYER_Z
import ru.mipt.npm.muon.sim.SC1
import ru.mipt.npm.muon.sim.SC16
import ru.mipt.npm.muon.monitor.Monitor.CENTRAL_LAYER_Z
import ru.mipt.npm.muon.monitor.Monitor.LOWER_LAYER_Z
import ru.mipt.npm.muon.monitor.Monitor.UPPER_LAYER_Z
import kotlin.math.PI
class Model {
private val map = HashMap<String, VisualGroup3D>()
@ -16,17 +13,17 @@ class Model {
private fun VisualGroup3D.pixel(pixel: SC1) {
val group = group(pixel.name) {
box(Monitor.PIXEL_XY_SIZE, Monitor.PIXEL_Z_SIZE, Monitor.PIXEL_XY_SIZE){
position = Point3D(pixel.center.x, pixel.center.z,pixel.center.y)
}
position = Point3D(pixel.center.x, pixel.center.y, pixel.center.z)
box(pixel.xSize, pixel.ySize, pixel.zSize)
label(pixel.name) {
y = Monitor.PIXEL_Z_SIZE / 2
z = - Monitor.PIXEL_Z_SIZE / 2 - 5
rotationY = PI
}
}
map[pixel.name] = group
}
private fun VisualGroup3D.detector(detector: SC16){
private fun VisualGroup3D.detector(detector: SC16) {
group(detector.name) {
detector.pixels.forEach {
pixel(it)
@ -37,6 +34,7 @@ class Model {
var tracks: VisualGroup3D
val root: VisualGroup3D = VisualGroup3D().apply {
rotationX = PI / 2
group("bottom") {
Monitor.detectors.filter { it.center.z == LOWER_LAYER_Z }.forEach {
detector(it)
@ -71,6 +69,11 @@ class Model {
fun showEvent(event: Event) {
events.add(event)
highlight(event.id)
event.hits.forEach {
highlight(it)
}
event.track?.let {
tracks.polyline(*it.toTypedArray())
}
}
}

59
demo/muon-monitor/src/commonMain/kotlin/ru/mipt/npm/muon/monitor/Monitor.kt
View File

@ -1,14 +1,17 @@
package ru.mipt.npm.muon.sim
package ru.mipt.npm.muon.monitor
import hep.dataforge.vis.spatial.Point3D
import hep.dataforge.vis.spatial.plus
import ru.mipt.npm.muon.monitor.Monitor.PIXEL_XY_SIZE
import ru.mipt.npm.muon.monitor.Monitor.PIXEL_Z_SIZE
/**
* A single pixel
*/
class SC1(
open class SC1(
val name: String,
val center: Point3D
val center: Point3D,
val xSize: Double = PIXEL_XY_SIZE, val ySize: Double = PIXEL_XY_SIZE, val zSize: Double = PIXEL_Z_SIZE
)
class SC16(
@ -109,55 +112,27 @@ class SC16(
expect fun readResource(path: String): String
internal expect fun readMonitorConfig(): String
/**
* General geometry definitions
* Created by darksnake on 09-May-16.
*/
object Monitor {
const val GEOMETRY_TOLERANCE = 0.01;
const val PIXEL_XY_SIZE = 122.0;
const val PIXEL_XY_SPACING = 123.2;
const val PIXEL_Z_SIZE = 30.0;
const val CENTRAL_LAYER_Z = 0.0;
const val UPPER_LAYER_Z = 166.0;
const val LOWER_LAYER_Z = -180.0;
private val monitorConfig = """
--Place-|-SC16-|-TB-CHN-|-HB-CHN-|-X-coord-|-Y-coord-|-Z-coord-|-Theta-|-Phi
----------------------------------------------------------------------------
RT100 SC86 3 0 0 1000 0 0 270
RT100 SC87 6 1 0 500 0 0 270
RT100 SC88 8 2 0 0 0 0 270
RT100 SC91 9 3 500 1000 0 0 270
RT100 SC92 10 4 500 500 0 0 270
RT100 SC93 11 5 500 0 0 0 270
RT100 SC94 12 6 1000 1000 0 0 270
RT100 SC85 13 7 1000 500 0 0 270
RT100 SC96 15 8 1000 0 0 0 270
###
RT100 SC81 26 12 250 750 180 0 270
RT100 SC82 27 11 250 250 180 0 270
RT100 SC83 28 23 750 750 180 0 270
RT100 SC84 29 9 750 250 180 0 270
###
RT100 SC72 80 21 1000 0 346 0 270
RT100 SC73 79 20 1000 500 346 0 270
RT100 SC74 78 19 1000 1000 346 0 270
RT100 SC75 77 18 500 0 346 0 270
RT100 SC76 84 17 500 500 346 0 270
RT100 SC77 75 16 500 1000 346 0 270
RT100 SC78 74 15 0 0 346 0 270
RT100 SC79 73 14 0 500 346 0 270
RT100 SC80 72 13 0 1000 346 0 270
STOP
""".trimIndent()
const val GEOMETRY_TOLERANCE = 0.01
const val PIXEL_XY_SIZE = 122.0
const val PIXEL_XY_SPACING = 123.2
const val PIXEL_Z_SIZE = 30.0
const val CENTRAL_LAYER_Z = 0.0
const val UPPER_LAYER_Z = 166.0
const val LOWER_LAYER_Z = -180.0
/**
* Build map for the whole monitor
*/
val detectors: Collection<SC16> by lazy {
monitorConfig.lineSequence().mapNotNull { line ->
readMonitorConfig().lineSequence().mapNotNull { line ->
if (line.startsWith(" ")) {
val split = line.trim().split("\\s+".toRegex());
val detectorName = split[1];
@ -171,4 +146,6 @@ object Monitor {
}.toList()
}
val pixels: Collection<SC1> get() = detectors.flatMap { it.pixels }
}

18
demo/muon-monitor/src/commonMain/kotlin/ru/mipt/npm/muon/monitor/geometry.kt
View File

@ -1,18 +0,0 @@
@file:UseSerializers(Point3DSerializer::class)
package ru.mipt.npm.muon.monitor
import hep.dataforge.vis.spatial.Point3D
import hep.dataforge.vis.spatial.Point3DSerializer
import kotlinx.serialization.Serializable
import kotlinx.serialization.UseSerializers
@Serializable
data class Line(
val start: Point3D,
val direction: Point3D
)
data class Plane(
val normal: Point3D,
val offset: Number
)

35
demo/muon-monitor/src/jsMain/kotlin/ru/mipt/npm/muon/monitor/readResource.kt
View File

@ -1,7 +1,40 @@
package ru.mipt.npm.muon.sim
package ru.mipt.npm.muon.monitor
import hep.dataforge.js.requireJS
actual fun readResource(path: String): String {
return requireJS(path) as String
}
// TODO replace by resource
internal actual fun readMonitorConfig(): String{
return """
--Place-|-SC16-|-TB-CHN-|-HB-CHN-|-X-coord-|-Y-coord-|-Z-coord-|-Theta-|-Phi
----------------------------------------------------------------------------
RT100 SC86 3 0 0 1000 0 0 270
RT100 SC87 6 1 0 500 0 0 270
RT100 SC88 8 2 0 0 0 0 270
RT100 SC91 9 3 500 1000 0 0 270
RT100 SC92 10 4 500 500 0 0 270
RT100 SC93 11 5 500 0 0 0 270
RT100 SC94 12 6 1000 1000 0 0 270
RT100 SC85 13 7 1000 500 0 0 270
RT100 SC96 15 8 1000 0 0 0 270
###
RT100 SC81 26 12 250 750 180 0 270
RT100 SC82 27 11 250 250 180 0 270
RT100 SC83 28 23 750 750 180 0 270
RT100 SC84 29 9 750 250 180 0 270
###
RT100 SC72 80 21 1000 0 346 0 270
RT100 SC73 79 20 1000 500 346 0 270
RT100 SC74 78 19 1000 1000 346 0 270
RT100 SC75 77 18 500 0 346 0 270
RT100 SC76 84 17 500 500 346 0 270
RT100 SC77 75 16 500 1000 346 0 270
RT100 SC78 74 15 0 0 346 0 270
RT100 SC79 73 14 0 500 346 0 270
RT100 SC80 72 13 0 1000 346 0 270
STOP
""".trimIndent()
}

9
demo/muon-monitor/src/jvmMain/kotlin/ru/mipt/npm/muon/monitor/readResource.kt
View File

@ -1,5 +1,10 @@
package ru.mipt.npm.muon.sim
package ru.mipt.npm.muon.monitor
actual fun readResource(path: String): String {
return ClassLoader.getSystemClassLoader().getResourceAsStream("map-RMM110.sc16").readAllBytes().contentToString()
return ClassLoader.getSystemClassLoader().getResourceAsStream(path)?.readAllBytes()?.contentToString()
?: error("Resource '$path' not found")
}
internal actual fun readMonitorConfig(): String {
return readResource("map-RMM110.sc16")
}

121
demo/muon-monitor/src/jvmMain/kotlin/ru/mipt/npm/muon/monitor/sim/Pixel.kt Normal file
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@ -0,0 +1,121 @@
package ru.mipt.npm.muon.monitor.sim
import org.apache.commons.math3.geometry.euclidean.threed.Line
import org.apache.commons.math3.geometry.euclidean.threed.Plane
import org.apache.commons.math3.geometry.euclidean.threed.Vector3D
import ru.mipt.npm.muon.monitor.Monitor.CENTRAL_LAYER_Z
import ru.mipt.npm.muon.monitor.Monitor.GEOMETRY_TOLERANCE
import ru.mipt.npm.muon.monitor.Monitor.LOWER_LAYER_Z
import ru.mipt.npm.muon.monitor.Monitor.PIXEL_XY_SIZE
import ru.mipt.npm.muon.monitor.Monitor.UPPER_LAYER_Z
import ru.mipt.npm.muon.monitor.SC1
/**
* Auxiliary cache for [SC1] planes
*/
internal class SC1Aux(val sc: SC1, var efficiency: Double = 1.0) {
// val layer: Layer = findLayer(center.z);
private val upLayer =
findLayer(sc.center.z + sc.zSize / 2.0)//Layer("${name}_up", center.z + zSize / 2.0);
private val bottomLayer =
findLayer(sc.center.z - sc.zSize / 2.0)//Layer("${name}_bottom", center.z - zSize / 2.0);
private val centralLayer = findLayer(sc.center.z)
private val center = Vector3D(sc.center.x, sc.center.y, sc.center.z)
private val sideLayers: Array<Plane> = arrayOf(
Plane(center.add(Vector3D(PIXEL_XY_SIZE / 2, 0.0, 0.0)), Vector3D(1.0, 0.0, 0.0), GEOMETRY_TOLERANCE),
Plane(center.add(Vector3D(-PIXEL_XY_SIZE / 2, 0.0, 0.0)), Vector3D(-1.0, 0.0, 0.0), GEOMETRY_TOLERANCE),
Plane(center.add(Vector3D(0.0, PIXEL_XY_SIZE / 2, 0.0)), Vector3D(0.0, 1.0, 0.0), GEOMETRY_TOLERANCE),
Plane(center.add(Vector3D(0.0, -PIXEL_XY_SIZE / 2, 0.0)), Vector3D(0.0, -1.0, 0.0), GEOMETRY_TOLERANCE)
);
//TODO add efficiency
private fun containsPoint(x: Double, y: Double, z: Double, tolerance: Double = GEOMETRY_TOLERANCE): Boolean {
return x <= sc.center.x + sc.xSize / 2.0 + tolerance && x >= sc.center.x - sc.xSize / 2.0 - tolerance &&
y <= sc.center.y + sc.ySize / 2.0 + tolerance && y >= sc.center.y - sc.ySize / 2.0 - tolerance &&
z <= sc.center.z + sc.zSize / 2.0 + tolerance && z >= sc.center.z - sc.zSize / 2.0 - tolerance;
}
/**
* Check if pixel contains point
*/
private fun containsPoint(point: Vector3D, tolerance: Double = GEOMETRY_TOLERANCE): Boolean {
return containsPoint(point.x, point.y, point.z, tolerance);
}
/**
* Return number of detector pixel like SCxx-12
*/
fun getDetectorNumber(): Int {
return sc.name.substring(2, 4).toInt();
}
/**
* Return number of pixel in detector like SC79-xx
*/
fun getPixelNumber(): Int {
return sc.name.substring(5).toInt();
}
/**
* The layer number from up to bottom
*/
fun getLayerNumber(): Int {
return when (this.center.z) {
UPPER_LAYER_Z -> 1;
CENTRAL_LAYER_Z -> 2;
LOWER_LAYER_Z -> 3;
else -> throw RuntimeException("Unknown layer");
}
}
/**
* Check if track crosses the pixel
*/
fun isHit(track: Line): Boolean {
//check central plane as well as upper and bottom planes of the layer
val upperIntersection = upLayer.intersection(track);
val bottomIntersection = bottomLayer.intersection(track);
val upperHit = containsPoint(upperIntersection);
val bottomHit = containsPoint(bottomIntersection);
if (!bottomHit && !upperHit) {
return false;
} else if (upperHit && bottomHit) {
return eff();
} else {
val verticalHitPoint = if (upperHit) {
upperIntersection
} else {
bottomIntersection
}
val horizontalHitPoint = getHorizontalHitPoint(track);
return if (horizontalHitPoint == null) {
//If horizontal intersection could not be found, it is near the rib and therefore length is always sufficient
true;
} else {
val length = verticalHitPoint.distance(horizontalHitPoint);
(length >= MINIMAL_TRACK_LENGTH) && eff();
}
}
}
private fun getHorizontalHitPoint(track: Line): Vector3D? {
return sideLayers
.map { it.intersection(track) }//FIXME there is a problem with geometric tolerances here
.firstOrNull { it != null && containsPoint(it, 100 * GEOMETRY_TOLERANCE) };
}
private fun eff(): Boolean {
return efficiency == 1.0 || rnd.nextDouble() < efficiency;
}
}
private val auxCache = HashMap<SC1, SC1Aux>()
fun SC1.isHit(track: Line): Boolean{
return auxCache.getOrPut(this){
SC1Aux(this)
}.isHit(track)
}

61
demo/muon-monitor/src/jvmMain/kotlin/ru/mipt/npm/muon/monitor/sim/line.kt Normal file
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@ -0,0 +1,61 @@
package ru.mipt.npm.muon.monitor.sim
import hep.dataforge.vis.spatial.Point3D
import org.apache.commons.math3.geometry.euclidean.threed.Line
import org.apache.commons.math3.geometry.euclidean.threed.Plane
import org.apache.commons.math3.geometry.euclidean.threed.Vector3D
import ru.mipt.npm.muon.monitor.Monitor.CENTRAL_LAYER_Z
import ru.mipt.npm.muon.monitor.Monitor.GEOMETRY_TOLERANCE
/**
* Created by darksnake on 11-May-16.
*/
private val basePlane = Plane(Vector3D(0.0, 0.0, 0.0), Vector3D(0.0, 0.0, 1.0), GEOMETRY_TOLERANCE);
/**
* elevation angle
*/
fun Line.getTheta(): Double {
return direction.delta;
}
/**
* Azimuthal angle
*/
fun Line.getPhi(): Double {
return direction.alpha;
}
/**
* x of intersection with base (central) plane
*/
fun Line.getX(): Double {
return basePlane.intersection(this).x;
}
fun Line.getY(): Double {
return basePlane.intersection(this).y;
}
fun makeTrack(start: Vector3D, direction: Vector3D): Line {
return Line(start, start.add(direction), GEOMETRY_TOLERANCE)
}
fun makeTrack(x: Double, y: Double, theta: Double, phi: Double): Line {
//TODO check angle definitions
return makeTrack(
Vector3D(x, y, CENTRAL_LAYER_Z),
Vector3D(phi, theta)
)
}
fun Vector3D.toPoint() = Point3D(x, y, z)
fun Line.toPoints(): List<Point3D> {
val basePoint = basePlane.intersection(this)
val bottom = basePoint.subtract(300.0, direction)
val top = basePoint.add(300.0, direction)
return listOf(bottom.toPoint(), top.toPoint())
}

55
demo/muon-monitor/src/jvmMain/kotlin/ru/mipt/npm/muon/monitor/sim/monitor.kt Normal file
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@ -0,0 +1,55 @@
package ru.mipt.npm.muon.monitor.sim
import org.apache.commons.math3.geometry.euclidean.threed.Line
import org.apache.commons.math3.geometry.euclidean.threed.Plane
import org.apache.commons.math3.geometry.euclidean.threed.Vector3D
import org.apache.commons.math3.random.JDKRandomGenerator
import org.apache.commons.math3.random.RandomGenerator
import ru.mipt.npm.muon.monitor.Event
import ru.mipt.npm.muon.monitor.Monitor
import ru.mipt.npm.muon.monitor.SC1
import ru.mipt.npm.muon.monitor.readResource
import java.util.*
// minimal track length in detector
val MINIMAL_TRACK_LENGTH = 10.0
var rnd: RandomGenerator = JDKRandomGenerator(223)
private val layerCache = HashMap<Double, Plane>()
fun findLayer(z: Double): Plane = layerCache.getOrPut(z){
Plane(Vector3D(0.0, 0.0, z), Vector3D(0.0, 0.0, 1.0),
Monitor.GEOMETRY_TOLERANCE
)
}
fun readEffs(): Map<String, Double> {
val effMap = HashMap<String, Double>()
var detectorName: String = ""
var index: Int = 0
readResource("Effs-MM-minhits-4.dat").lineSequence().forEach { line ->
val trimmed = line.trim()
if (trimmed.startsWith("SC")) {
detectorName = trimmed.split(Regex("\\s+"))[2]
} else if (trimmed.startsWith("pixel")) {
index = 0
} else if (!trimmed.isEmpty()) {
val eff = trimmed.split(Regex("\\s+"))[1].toDouble()
effMap.put("SC${detectorName}_${index}", eff)
index++
}
}
return effMap
}
fun buildEventByTrack(track: Line, hitResolver: (Line) -> Collection<SC1> = defaultHitResolver): Event {
return Event(track.toPoints(), hitResolver(track).map { it.name })
}
val defaultHitResolver: (Line) -> Collection<SC1> = { track: Line ->
Monitor.pixels.filter { it.isHit(track) }.toSet()
}

71
demo/muon-monitor/src/jvmMain/kotlin/ru/mipt/npm/muon/monitor/sim/simulation.kt Normal file
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@ -0,0 +1,71 @@
package ru.mipt.npm.muon.monitor.sim
import org.apache.commons.math3.geometry.euclidean.threed.Line
import ru.mipt.npm.muon.monitor.Event
import ru.mipt.npm.muon.monitor.Monitor.PIXEL_XY_SIZE
/**
* Simulate single track and returns corresponding event
*/
fun simulateOne(trackGenerator: TrackGenerator = UniformTrackGenerator()): Event {
val track = trackGenerator.generate()
return buildEventByTrack(track)
}
interface TrackGenerator {
fun generate(): Line
}
/**
* A uniform generator with track bases distributed in square in central plane, uniform phi and cos theta
*/
class UniformTrackGenerator(val maxX: Double = 4 * PIXEL_XY_SIZE, val maxY: Double = 4 * PIXEL_XY_SIZE) :
TrackGenerator {
override fun generate(): Line {
val x = (1 - rnd.nextDouble() * 2.0) * maxX
val y = (1 - rnd.nextDouble() * 2.0) * maxY
val phi = (1 - rnd.nextDouble() * 2.0) * Math.PI
val theta = Math.PI / 2 - Math.acos(rnd.nextDouble())
return makeTrack(x, y, theta, phi)
}
}
class FixedAngleGenerator(
val phi: Double, val theta: Double,
val maxX: Double = 4 * PIXEL_XY_SIZE,
val maxY: Double = 4 * PIXEL_XY_SIZE
) : TrackGenerator {
override fun generate(): Line {
val x = (1 - rnd.nextDouble() * 2.0) * maxX
val y = (1 - rnd.nextDouble() * 2.0) * maxY
return makeTrack(x, y, theta, phi)
}
}
/**
* Generating surface distribution using accept-reject method
*/
class Cos2TrackGenerator(
val power: Double = 2.0,
val maxX: Double = 4 * PIXEL_XY_SIZE,
val maxY: Double = 4 * PIXEL_XY_SIZE
) :
TrackGenerator {
override fun generate(): Line {
val x = (1 - rnd.nextDouble() * 2.0) * maxX
val y = (1 - rnd.nextDouble() * 2.0) * maxY
val phi = (1 - rnd.nextDouble() * 2.0) * Math.PI
for (i in 0..500) {
val thetaCandidate = Math.acos(rnd.nextDouble())
val u = rnd.nextDouble()
val sin = Math.sin(thetaCandidate)
if (u < Math.pow(sin, power) / sin) {
return makeTrack(x, y, thetaCandidate, phi)
}
}
throw RuntimeException("Failed to generate theta from distribution")
}
}

397
demo/muon-monitor/src/jvmMain/resources/Effs-MM-minhits-4.dat Normal file
View File

@ -0,0 +1,397 @@
SC16 = 72 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9815 0.0070 39065 39801
2a 0.9790 0.0070 38199 39019
3a 0.9811 0.0070 38791 39538
4a 0.9833 0.0069 39987 40668
1b 0.9810 0.0070 38941 39697
2b 0.9800 0.0071 37449 38213
3b 0.9804 0.0070 39025 39806
4b 0.9804 0.0069 40432 41241
1c 0.9787 0.0069 39365 40221
2c 0.9793 0.0071 38092 38898
3c 0.9812 0.0070 38548 39288
4c 0.9806 0.0068 40894 41702
1d 0.9793 0.0069 39640 40479
2d 0.9775 0.0071 37605 38470
3d 0.9778 0.0069 39541 40439
4d 0.9786 0.0067 41719 42631
SC16 = 73 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9794 0.0069 39439 40270
2a 0.9791 0.0071 37754 38561
3a 0.9789 0.0069 39348 40198
4a 0.9794 0.0068 41517 42391
1b 0.9795 0.0070 39205 40027
2b 0.9796 0.0071 37647 38432
3b 0.9809 0.0070 38528 39280
4b 0.9818 0.0069 40075 40817
1c 0.9800 0.0071 38046 38822
2c 0.9805 0.0071 37651 38399
3c 0.9776 0.0069 39304 40205
4c 0.9817 0.0068 41296 42065
1d 0.9797 0.0070 38920 39728
2d 0.9802 0.0071 38191 38964
3d 0.9802 0.0070 38525 39302
4d 0.9825 0.0069 40020 40733
SC16 = 74 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9820 0.0070 39544 40270
2a 0.9816 0.0071 37850 38561
3a 0.9826 0.0070 39500 40198
4a 0.9835 0.0068 41693 42391
1b 0.9826 0.0070 39332 40027
2b 0.9811 0.0071 37707 38432
3b 0.9839 0.0070 38646 39280
4b 0.9855 0.0069 40224 40817
1c 0.9817 0.0071 38111 38822
2c 0.9825 0.0071 37726 38399
3c 0.9827 0.0070 39511 40205
4c 0.9842 0.0068 41399 42065
1d 0.9847 0.0070 39119 39728
2d 0.9825 0.0071 38282 38964
3d 0.9832 0.0070 38642 39302
4d 0.9856 0.0069 40148 40733
SC16 = 75 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9850 0.0069 40488 41106
2a 0.9824 0.0070 39586 40294
3a 0.9842 0.0069 40539 41189
4a 0.9877 0.0068 41864 42385
1b 0.9837 0.0069 40803 41478
2b 0.9835 0.0070 38953 39605
3b 0.9839 0.0069 40864 41533
4b 0.9856 0.0068 41895 42505
1c 0.9843 0.0068 41478 42139
2c 0.9825 0.0069 39926 40637
3c 0.9854 0.0069 40817 41422
4c 0.9866 0.0067 42925 43509
1d 0.9839 0.0068 41165 41839
2d 0.9837 0.0070 39517 40172
3d 0.9830 0.0068 40869 41576
4d 0.9840 0.0066 43928 44642
SC16 = 76 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9862 0.0068 41502 42083
2a 0.9871 0.0070 39451 39965
3a 0.9886 0.0069 40287 40752
4a 0.9897 0.0068 42213 42652
1b 0.9871 0.0068 41396 41939
2b 0.9864 0.0070 39284 39824
3b 0.9870 0.0069 41226 41768
4b 0.9863 0.0067 43486 44088
1c 0.9889 0.0070 40084 40533
2c 0.9868 0.0070 39824 40357
3c 0.9889 0.0069 40552 41008
4c 0.9908 0.0069 41425 41809
1d 0.9887 0.0070 40039 40498
2d 0.9873 0.0070 39214 39717
3d 0.9865 0.0069 40925 41486
4d 0.9883 0.0068 42085 42583
SC16 = 77 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9895 0.0082 29031 29339
2a 0.9887 0.0083 28275 28599
3a 0.9893 0.0081 29510 29830
4a 0.9902 0.0080 30308 30607
1b 0.9889 0.0082 28597 28918
2b 0.9888 0.0084 27365 27675
3b 0.9892 0.0083 28387 28696
4b 0.9913 0.0082 29412 29669
1c 0.9897 0.0082 28659 28957
2c 0.9885 0.0083 27926 28250
3c 0.9902 0.0082 29138 29426
4c 0.9909 0.0080 30831 31113
1d 0.9895 0.0081 29622 29937
2d 0.9879 0.0084 27787 28126
3d 0.9900 0.0082 28675 28964
4d 0.9913 0.0080 30536 30804
SC16 = 78 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9807 0.0068 41199 42008
2a 0.9786 0.0069 39864 40735
3a 0.9783 0.0068 41363 42279
4a 0.9815 0.0067 42769 43577
1b 0.9813 0.0068 40825 41605
2b 0.9796 0.0069 39542 40366
3b 0.9815 0.0069 40446 41209
4b 0.9841 0.0068 41689 42362
1c 0.9788 0.0068 41347 42244
2c 0.9795 0.0069 40231 41075
3c 0.9788 0.0068 41565 42465
4c 0.9810 0.0066 44415 45276
1d 0.9796 0.0067 41707 42576
2d 0.9801 0.0069 39722 40528
3d 0.9816 0.0068 40700 41462
4d 0.9816 0.0067 43022 43830
SC16 = 79 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9796 0.0081 29157 29765
2a 0.9781 0.0081 28678 29321
3a 0.9811 0.0081 28751 29304
4a 0.9783 0.0080 29750 30410
1b 0.9782 0.0081 29080 29728
2b 0.9762 0.0082 27948 28628
3b 0.9796 0.0080 29739 30358
4b 0.9796 0.0079 30395 31029
1c 0.9787 0.0080 29856 30505
2c 0.9787 0.0081 28613 29235
3c 0.9800 0.0081 29214 29811
4c 0.9804 0.0079 30742 31356
1d 0.9781 0.0080 29903 30572
2d 0.9780 0.0082 28276 28912
3d 0.9772 0.0080 29570 30259
4d 0.9788 0.0078 31546 32229
SC16 = 80 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9850 0.0082 28399 28832
2a 0.9834 0.0083 27891 28363
3a 0.9859 0.0082 28386 28791
4a 0.9878 0.0081 29272 29634
1b 0.9858 0.0083 28122 28528
2b 0.9833 0.0084 26978 27437
3b 0.9846 0.0082 28345 28789
4b 0.9872 0.0081 29293 29674
1c 0.9841 0.0082 28684 29148
2c 0.9828 0.0083 27674 28159
3c 0.9851 0.0083 27958 28381
4c 0.9869 0.0081 29810 30206
1d 0.9848 0.0081 29321 29774
2d 0.9844 0.0083 27631 28069
3d 0.9836 0.0082 28503 28979
4d 0.9851 0.0079 30577 31038
SC16 = 81 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9856 0.0086 25820 26198
2a 0.9868 0.0089 24696 25027
3a 0.9892 0.0088 25195 25469
4a 0.9892 0.0087 25786 26068
1b 0.9858 0.0087 25638 26007
2b 0.9863 0.0089 24125 24459
3b 0.9873 0.0086 25929 26262
4b 0.9852 0.0085 26940 27344
1c 0.9885 0.0089 24530 24816
2c 0.9873 0.0089 24570 24886
3c 0.9888 0.0088 25000 25282
4c 0.9907 0.0087 26103 26347
1d 0.9887 0.0088 25076 25362
2d 0.9857 0.0089 24340 24694
3d 0.9864 0.0087 25796 26152
4d 0.9871 0.0086 26010 26350
SC16 = 82 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9841 0.0069 40146 40794
2a 0.9830 0.0070 39206 39884
3a 0.9854 0.0070 39525 40112
4a 0.9874 0.0069 40762 41284
1b 0.9857 0.0069 40187 40771
2b 0.9851 0.0071 38243 38823
3b 0.9835 0.0069 40009 40679
4b 0.9850 0.0068 41450 42082
1c 0.9835 0.0069 40251 40927
2c 0.9843 0.0070 39042 39663
3c 0.9845 0.0069 39990 40621
4c 0.9869 0.0068 41955 42512
1d 0.9819 0.0069 40635 41386
2d 0.9843 0.0070 38912 39532
3d 0.9831 0.0069 40428 41121
4d 0.9825 0.0067 42663 43422
SC16 = 83 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9845 0.0068 41429 42083
2a 0.9830 0.0070 39286 39965
3a 0.9838 0.0069 40092 40752
4a 0.9850 0.0068 42013 42652
1b 0.9840 0.0068 41266 41939
2b 0.9837 0.0070 39174 39824
3b 0.9842 0.0068 41108 41768
4b 0.9841 0.0067 43388 44088
1c 0.9851 0.0069 39928 40533
2c 0.9817 0.0069 39617 40357
3c 0.9849 0.0069 40390 41008
4c 0.9863 0.0068 41238 41809
1d 0.9849 0.0069 39885 40498
2d 0.9843 0.0070 39092 39717
3d 0.9828 0.0069 40774 41486
4d 0.9859 0.0068 41981 42583
SC16 = 84 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9808 0.0086 25720 26224
2a 0.9780 0.0088 24341 24889
3a 0.9834 0.0086 26105 26547
4a 0.9796 0.0085 26333 26881
1b 0.9835 0.0087 25276 25699
2b 0.9816 0.0088 24571 25032
3b 0.9790 0.0087 25134 25674
4b 0.9866 0.0086 25969 26323
1c 0.9851 0.0086 25755 26145
2c 0.9831 0.0088 24727 25152
3c 0.9821 0.0086 25863 26335
4c 0.9813 0.0083 27641 28169
1d 0.9845 0.0086 26120 26532
2d 0.9835 0.0088 24676 25090
3d 0.9805 0.0086 25495 26003
4d 0.9847 0.0084 27010 27430
SC16 = 85 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9888 0.0069 41438 41908
2a 0.9879 0.0070 40115 40608
3a 0.9885 0.0068 41522 42007
4a 0.9890 0.0066 44029 44518
1b 0.9876 0.0068 41537 42059
2b 0.9883 0.0070 39491 39958
3b 0.9908 0.0069 40708 41086
4b 0.9895 0.0068 42674 43128
1c 0.9893 0.0070 40236 40672
2c 0.9883 0.0070 39383 39849
3c 0.9887 0.0068 41897 42374
4c 0.9901 0.0067 43244 43677
1d 0.9891 0.0069 40750 41197
2d 0.9878 0.0070 39719 40209
3d 0.9901 0.0069 40752 41159
4d 0.9902 0.0068 42110 42525
SC16 = 86 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9870 0.0081 29757 30148
2a 0.9883 0.0082 28618 28958
3a 0.9879 0.0082 29167 29524
4a 0.9886 0.0079 30975 31331
1b 0.9887 0.0081 29794 30133
2b 0.9876 0.0083 28184 28538
3b 0.9895 0.0082 29207 29518
4b 0.9907 0.0080 30271 30555
1c 0.9883 0.0082 28908 29251
2c 0.9887 0.0083 28282 28606
3c 0.9883 0.0081 29827 30181
4c 0.9916 0.0079 31116 31380
1d 0.9900 0.0082 29326 29622
2d 0.9884 0.0082 28561 28897
3d 0.9898 0.0082 29081 29380
4d 0.9911 0.0081 29889 30158
SC16 = 87 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9876 0.0070 39769 40270
2a 0.9875 0.0071 38079 38561
3a 0.9886 0.0070 39740 40198
4a 0.9869 0.0068 41835 42391
1b 0.9878 0.0070 39538 40027
2b 0.9871 0.0071 37936 38432
3b 0.9885 0.0071 38827 39280
4b 0.9896 0.0069 40393 40817
1c 0.9887 0.0071 38383 38822
2c 0.9864 0.0071 37878 38399
3c 0.9892 0.0070 39772 40205
4c 0.9899 0.0068 41641 42065
1d 0.9890 0.0070 39290 39728
2d 0.9880 0.0071 38495 38964
3d 0.9888 0.0071 38862 39302
4d 0.9912 0.0070 40375 40733
SC16 = 88 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9804 0.0068 41090 41910
2a 0.9788 0.0068 40437 41311
3a 0.9787 0.0067 41989 42905
4a 0.9814 0.0067 42708 43517
1b 0.9806 0.0068 41179 41993
2b 0.9786 0.0069 39836 40706
3b 0.9822 0.0068 40809 41550
4b 0.9830 0.0068 41869 42592
1c 0.9790 0.0067 41953 42853
2c 0.9778 0.0068 40547 41467
3c 0.9776 0.0067 42426 43398
4c 0.9781 0.0065 45386 46401
1d 0.9781 0.0067 42368 43318
2d 0.9798 0.0069 40395 41227
3d 0.9794 0.0068 41421 42293
4d 0.9810 0.0066 43810 44658
SC16 = 91 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9804 0.0068 41402 42230
2a 0.9765 0.0068 40606 41582
3a 0.9816 0.0068 41040 41811
4a 0.9818 0.0067 42427 43215
1b 0.9812 0.0068 41383 42176
2b 0.9785 0.0069 39515 40383
3b 0.9787 0.0068 41492 42394
4b 0.9812 0.0067 43091 43918
1c 0.9774 0.0067 41827 42794
2c 0.9782 0.0069 40267 41164
3c 0.9801 0.0068 41027 41862
4c 0.9801 0.0066 43673 44562
1d 0.9801 0.0067 42176 43031
2d 0.9789 0.0068 40435 41308
3d 0.9774 0.0067 42377 43359
4d 0.9771 0.0065 44859 45908
SC16 = 92 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9879 0.0082 28816 29168
2a 0.9876 0.0084 27450 27795
3a 0.9881 0.0082 28799 29147
4a 0.9877 0.0080 30498 30878
1b 0.9885 0.0082 28573 28904
2b 0.9881 0.0084 27702 28037
3b 0.9899 0.0083 28461 28752
4b 0.9905 0.0081 29726 30012
1c 0.9891 0.0084 27799 28104
2c 0.9892 0.0084 27657 27958
3c 0.9880 0.0082 28644 28991
4c 0.9903 0.0080 30138 30432
1d 0.9896 0.0082 28735 29037
2d 0.9891 0.0084 27680 27984
3d 0.9903 0.0083 28303 28580
4d 0.9912 0.0082 29272 29532
SC16 = 93 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9847 0.0069 40699 41330
2a 0.9845 0.0070 39280 39898
3a 0.9220 0.0066 37984 41198
4a 0.9864 0.0067 43034 43629
1b 0.9851 0.0069 40603 41216
2b 0.9841 0.0071 38495 39117
3b 0.9873 0.0070 39577 40088
4b 0.9866 0.0068 41684 42250
1c 0.9859 0.0070 39523 40090
2c 0.9863 0.0070 39423 39972
3c 0.9865 0.0069 40785 41343
4c 0.9865 0.0068 42213 42790
1d 0.9857 0.0069 40010 40589
2d 0.9854 0.0070 38880 39456
3d 0.9859 0.0070 39559 40124
4d 0.9875 0.0069 40866 41385
SC16 = 94 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9784 0.0086 25543 26106
2a 0.9800 0.0087 25262 25777
3a 0.9850 0.0087 25523 25912
4a 0.9835 0.0086 26036 26473
1b 0.9817 0.0087 25195 25664
2b 0.9768 0.0089 24039 24610
3b 0.9788 0.0086 25589 26143
4b 0.9821 0.0085 26527 27010
1c 0.9822 0.0086 25724 26191
2c 0.9802 0.0087 24951 25455
3c 0.9778 0.0087 25174 25746
4c 0.9810 0.0084 26777 27297
1d 0.9808 0.0086 25943 26452
2d 0.9775 0.0088 24528 25093
3d 0.9799 0.0086 25872 26404
4d 0.9783 0.0083 27161 27764
SC16 = 96 the min number of hits = 4
pixel eff d_eff n_hit n_tot
1a 0.9865 0.0068 42151 42727
2a 0.9874 0.0070 40062 40574
3a 0.9890 0.0069 41115 41571
4a 0.9895 0.0068 42296 42743
1b 0.9874 0.0068 41364 41890
2b 0.9864 0.0070 39479 40022
3b 0.9872 0.0068 41528 42067
4b 0.9870 0.0067 43749 44326
1c 0.9898 0.0069 40533 40952
2c 0.9873 0.0069 40513 41034
3c 0.9898 0.0069 40908 41329
4c 0.9903 0.0068 42150 42562
1d 0.9882 0.0069 40903 41392
2d 0.9879 0.0070 39634 40121
3d 0.9862 0.0068 41810 42396
4d 0.9893 0.0067 43167 43635