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//! This module contains all the resources needed to load and examine datasets.
//!
//! A [`Dataset`] is, in essence, a list of [`Event`]s, each of which contain all the pertinent
//! information about a single set of initial- and final-state particles, as well as an index
//! and weight within the [`Dataset`].
//!
//! This crate currently supports loading [`Dataset`]s from ROOT and Parquet files (see
//! [`Dataset::from_root`] and [`Dataset::from_parquet`]. These methods require the following
//! "branches" or "columns" to be present in the file:
//!
//! | Branch Name | Data Type | Notes |
//! |---|---|---|
//! | `Weight` | Float32 | |
//! | `E_Beam` | Float32 | |
//! | `Px_Beam` | Float32 | |
//! | `Py_Beam` | Float32 | |
//! | `Pz_Beam` | Float32 | |
//! | `E_FinalState` | \[Float32\] | \[recoil, daughter #1, daughter #2, ...\] |
//! | `Px_FinalState` | \[Float32\] | \[recoil, daughter #1, daughter #2, ...\] |
//! | `Py_FinalState` | \[Float32\] | \[recoil, daughter #1, daughter #2, ...\] |
//! | `Pz_FinalState` | \[Float32\] | \[recoil, daughter #1, daughter #2, ...\] |
//! | `EPS` | \[Float32\] | \[$`P_\gamma \cos(\Phi)`$, $`P_\gamma \sin(\Phi)`$, $`0.0`$\] for linear polarization with magnitude $`P_\gamma`$ and angle $`\Phi`$ |
//!
//! The `EPS` branch is optional and files without such a branch can be loaded under the
//! following conditions. First, if we don't care about polarization, and wish to set `EPS` =
//! `[0.0, 0.0, 0.0]`, we can do so using the methods [`Dataset::from_root_unpolarized`] or
//! [`Dataset::from_parquet_unpolarized`]. If a data file contains events with only one
//! polarization, we can compute the `EPS` vector ourselves and use
//! [`Dataset::from_root_with_eps`] or [`Dataset::from_parquet_with_eps`] to load the same vector
//! for every event. Finally, to provide compatibility with the way polarization is sometimes
//! included in `AmpTools` files, we can note that the beam is often only moving along the
//! $`z`$-axis, so the $`x`$ and $`y`$ components are typically `0.0` anyway, so we can store
//! the $`x`$ and $`y`$ components of `EPS` in the beam's four-momentum and use the methods
//! [`Dataset::from_root_eps_in_beam`] or [`Dataset::from_parquet_eps_in_beam`] to extract it.
//!
//! There are also several methods used to split up [`Dataset`]s based on their component
//! values. The [`Dataset::select`] method takes mutable access to a dataset along with a query
//! function which takes an [`Event`] and returns a [`bool`]. For each event, if the query
//! returns `true`, the event is removed from the original dataset and added to a new dataset
//! which is then returned by the `select` function. The [`Dataset::reject`] method does the
//! opposite. For example,
//!
//! ```ignore
//! let ds_original = Dataset::from_root("path.root").unwrap();
//! let ds_a = ds_original.clone();
//! let ds_b = ds_original.clone();
//! let mass_gt_1_gev = |e: &Event| -> bool {
//! (e.daughter_p4s[0] + e.daughter_p4s[1]).m() > 1.0
//! };
//! let ds_a_selected = ds_a.select(mass_gt_1_gev);
//! let ds_b_rejected = ds_b.reject(mass_gt_1_gev);
//! ```
//!
//! After this, `ds_a` and `ds_b_rejected` will contain events where the four-momentum of the
//! first two daughter particles combined has a mass *less than* $`1.0`$ ``GeV``. On the other hand,
//! `ds_a_selected` and `ds_b` will have events where the opposite is true and the mass is
//! *greater than* $`1.0`$ ``GeV``. The reason for this logic is two-fold. First, we might be
//! dealing with large datasets, so we don't want to create copies of events if it can be
//! avoided. If copies are needed, they should be made explicitly with [`Dataset::clone`].
//! Otherwise, we just extract the events from the dataset. The other reason is that the syntax
//! reads in a "correct" way. We expect `let selected = data.select(condition);` to put the
//! selected data into the `selected` dataset. We can then choose if we want to hold on to the
//! rejected data.
//!
//! Since it is a common operation, there is also a method [`Dataset::split`] which will bin data
//! by a query which takes an [`Event`] and returns an [`Field`] value (rather than a [`bool`]).
//! This method also takes a `range: (Field, Field)` and a number of bins `nbins: usize`, and it
//! returns a `(Vec<Dataset>, Dataset, Dataset)`. These fields correspond to the binned datasets,
//! the underflow bin, and the overflow bin respectively, so no data should ever be "lost" by this
//! operation. There is also a convenience method, [`Dataset::split_m`], to split the dataset by
//! the mass of the summed four-momentum of any of the daughter particles, specified by their
//! index.
use std::{fmt::Display, fs::File, iter::repeat_with, path::Path, sync::Arc};
use itertools::{izip, Either, Itertools};
use nalgebra::Vector3;
use oxyroot::{ReaderTree, RootFile, Slice};
use parquet::record::Field as ParquetField;
use parquet::{
file::reader::{FileReader, SerializedFileReader},
record::Row,
};
use rayon::prelude::*;
use tracing::info;
use crate::{errors::RustitudeError, prelude::FourMomentum, Field};
/// The [`Event`] struct contains all the information concerning a single interaction between
/// particles in the experiment. See the individual fields for additional information.
#[derive(Debug, Default, Clone)]
pub struct Event<F: Field> {
/// The index of the event with the parent [`Dataset`].
pub index: usize,
/// The weight of the event with the parent [`Dataset`].
pub weight: F,
/// The beam [`FourMomentum`].
pub beam_p4: FourMomentum<F>,
/// The recoil (target after interaction) [`FourMomentum`].
pub recoil_p4: FourMomentum<F>,
/// [`FourMomentum`] of each other final state particle.
pub daughter_p4s: Vec<FourMomentum<F>>,
/// A vector corresponding to the polarization of the beam.
pub eps: Vector3<F>,
}
impl<F: Field> Display for Event<F> {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
writeln!(f, "Index: {}", self.index)?;
writeln!(f, "Weight: {}", self.weight)?;
writeln!(f, "Beam P4: {}", self.beam_p4)?;
writeln!(f, "Recoil P4: {}", self.recoil_p4)?;
writeln!(f, "Daughters:")?;
for (i, p4) in self.daughter_p4s.iter().enumerate() {
writeln!(f, "\t{i} -> {p4}")?;
}
writeln!(
f,
"EPS: [{}, {}, {}]",
self.eps[0], self.eps[1], self.eps[2]
)?;
Ok(())
}
}
impl<F: Field> Event<F> {
/// Reads an [`Event`] from a single [`Row`] in a Parquet file.
///
/// # Panics
///
/// This method currently panics if the list-like group types don't contain floats. This
/// eventually needs to be sorted out.
fn read_parquet_row(
index: usize,
row: Result<Row, parquet::errors::ParquetError>,
) -> Result<Self, RustitudeError> {
let mut event = Self {
index,
..Default::default()
};
let mut e_fs: Vec<F> = Vec::new();
let mut px_fs: Vec<F> = Vec::new();
let mut py_fs: Vec<F> = Vec::new();
let mut pz_fs: Vec<F> = Vec::new();
for (name, field) in row?.get_column_iter() {
match (name.as_str(), field) {
("E_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_e(F::convert_f32(*value));
}
("Px_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_px(F::convert_f32(*value));
}
("Py_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_py(F::convert_f32(*value));
}
("Pz_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_pz(F::convert_f32(*value));
}
("Weight", ParquetField::Float(value)) => {
event.weight = F::convert_f32(*value);
}
("EPS", ParquetField::ListInternal(list)) => {
event.eps = Vector3::from_vec(
list.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect(),
);
}
("E_FinalState", ParquetField::ListInternal(list)) => {
e_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Px_FinalState", ParquetField::ListInternal(list)) => {
px_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Py_FinalState", ParquetField::ListInternal(list)) => {
py_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Pz_FinalState", ParquetField::ListInternal(list)) => {
pz_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
_ => {}
}
}
event.recoil_p4 = FourMomentum::new(e_fs[0], px_fs[0], py_fs[0], pz_fs[0]);
event.daughter_p4s = e_fs[1..]
.iter()
.zip(px_fs[1..].iter())
.zip(py_fs[1..].iter())
.zip(pz_fs[1..].iter())
.map(|(((e, px), py), pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect();
// let final_state_p4 = event.recoil_p4 + event.daughter_p4s.iter().sum();
// event.beam_p4 = event.beam_p4.boost_along(&final_state_p4);
// event.recoil_p4 = event.recoil_p4.boost_along(&final_state_p4);
// for dp4 in event.daughter_p4s.iter_mut() {
// *dp4 = dp4.boost_along(&final_state_p4);
// }
Ok(event)
}
/// Reads an [`Event`] from a single [`Row`] in a Parquet file, assuming EPS is stored in the
/// beam four-momentum.
///
/// # Panics
///
/// This method currently panics if the list-like group types don't contain floats. This
/// eventually needs to be sorted out.
fn read_parquet_row_eps_in_beam(
index: usize,
row: Result<Row, parquet::errors::ParquetError>,
) -> Result<Self, RustitudeError> {
let mut event = Self {
index,
..Default::default()
};
let mut e_fs: Vec<F> = Vec::new();
let mut px_fs: Vec<F> = Vec::new();
let mut py_fs: Vec<F> = Vec::new();
let mut pz_fs: Vec<F> = Vec::new();
for (name, field) in row?.get_column_iter() {
match (name.as_str(), field) {
("E_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_e(F::convert_f32(*value));
event.beam_p4.set_pz(F::convert_f32(*value));
}
("Px_Beam", ParquetField::Float(value)) => {
event.eps[0] = F::convert_f32(*value);
}
("Py_Beam", ParquetField::Float(value)) => {
event.eps[1] = F::convert_f32(*value);
}
("Weight", ParquetField::Float(value)) => {
event.weight = F::convert_f32(*value);
}
("E_FinalState", ParquetField::ListInternal(list)) => {
e_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Px_FinalState", ParquetField::ListInternal(list)) => {
px_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Py_FinalState", ParquetField::ListInternal(list)) => {
py_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Pz_FinalState", ParquetField::ListInternal(list)) => {
pz_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
_ => {}
}
}
event.recoil_p4 = FourMomentum::new(e_fs[0], px_fs[0], py_fs[0], pz_fs[0]);
event.daughter_p4s = e_fs[1..]
.iter()
.zip(px_fs[1..].iter())
.zip(py_fs[1..].iter())
.zip(pz_fs[1..].iter())
.map(|(((e, px), py), pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect();
// let final_state_p4 = event.recoil_p4 + event.daughter_p4s.iter().sum();
// event.beam_p4 = event.beam_p4.boost_along(&final_state_p4);
// event.recoil_p4 = event.recoil_p4.boost_along(&final_state_p4);
// for dp4 in event.daughter_p4s.iter_mut() {
// *dp4 = dp4.boost_along(&final_state_p4);
// }
Ok(event)
}
/// Reads an [`Event`] from a single [`Row`] in a Parquet file and set EPS for all events.
///
/// # Panics
///
/// This method currently panics if the list-like group types don't contain floats. This
/// eventually needs to be sorted out.
fn read_parquet_row_with_eps(
index: usize,
row: Result<Row, parquet::errors::ParquetError>,
eps: Vector3<F>,
) -> Result<Self, RustitudeError> {
let mut event = Self {
index,
eps,
..Default::default()
};
let mut e_fs: Vec<F> = Vec::new();
let mut px_fs: Vec<F> = Vec::new();
let mut py_fs: Vec<F> = Vec::new();
let mut pz_fs: Vec<F> = Vec::new();
for (name, field) in row?.get_column_iter() {
match (name.as_str(), field) {
("E_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_e(F::convert_f32(*value));
}
("Px_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_px(F::convert_f32(*value));
}
("Py_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_py(F::convert_f32(*value));
}
("Pz_Beam", ParquetField::Float(value)) => {
event.beam_p4.set_pz(F::convert_f32(*value));
}
("Weight", ParquetField::Float(value)) => event.weight = F::convert_f32(*value),
("E_FinalState", ParquetField::ListInternal(list)) => {
e_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Px_FinalState", ParquetField::ListInternal(list)) => {
px_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Py_FinalState", ParquetField::ListInternal(list)) => {
py_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
("Pz_FinalState", ParquetField::ListInternal(list)) => {
pz_fs = list
.elements()
.iter()
.map(|field| {
if let ParquetField::Float(value) = field {
F::convert_f32(*value)
} else {
panic!()
}
})
.collect()
}
_ => {}
}
}
event.recoil_p4 = FourMomentum::new(e_fs[0], px_fs[0], py_fs[0], pz_fs[0]);
event.daughter_p4s = e_fs[1..]
.iter()
.zip(px_fs[1..].iter())
.zip(py_fs[1..].iter())
.zip(pz_fs[1..].iter())
.map(|(((e, px), py), pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect();
// let final_state_p4 = event.recoil_p4 + event.daughter_p4s.iter().sum();
// event.beam_p4 = event.beam_p4.boost_along(&final_state_p4);
// event.recoil_p4 = event.recoil_p4.boost_along(&final_state_p4);
// for dp4 in event.daughter_p4s.iter_mut() {
// *dp4 = dp4.boost_along(&final_state_p4);
// }
Ok(event)
}
/// Reads an [`Event`] from a single [`Row`] in a Parquet file and set EPS = `[0, 0, 0]` for
/// all events.
///
/// # Panics
///
/// This method currently panics if the list-like group types don't contain floats. This
/// eventually needs to be sorted out.
fn read_parquet_row_unpolarized(
index: usize,
row: Result<Row, parquet::errors::ParquetError>,
) -> Result<Self, RustitudeError> {
Self::read_parquet_row_with_eps(index, row, Vector3::default())
}
}
/// An array of [`Event`]s with some helpful methods for accessing and parsing the data they
/// contain.
///
/// A [`Dataset`] can be loaded from either Parquet and ROOT files using the corresponding
/// `Dataset::from_*` methods. Events are stored in an [`Arc<Vec<Event>>`], since we
/// rarely need to write data to a dataset (splitting/selecting/rejecting events) but often need to
/// read events from a dataset.
#[derive(Default, Debug, Clone)]
pub struct Dataset<F: Field> {
/// Storage for events.
pub events: Arc<Vec<Event<F>>>,
}
impl<F: Field> Dataset<F> {
// TODO: can we make an events(&self) -> &Vec<Field> method that actually works without cloning?
/// Retrieves the weights from the events in the dataset
pub fn weights(&self) -> Vec<F> {
self.events.iter().map(|e| e.weight).collect()
}
/// Retrieves the weights from the events in the dataset which have the given indices.
pub fn weights_indexed(&self, indices: &[usize]) -> Vec<F> {
indices
.iter()
.map(|index| self.events[*index].weight)
.collect()
}
/// Splits the dataset by the mass of the combination of specified daughter particles in the
/// event. If no daughters are given, the first and second particle are assumed to form the
/// desired combination. This method returns [`Vec<usize>`]s corresponding to the indices of
/// events in each bin, the underflow bin, and the overflow bin respectively. This is intended
/// to be used in conjunction with
/// [`Manager::evaluate_indexed`](`crate::manager::Manager::evaluate_indexed`).
pub fn split_m(
&self,
range: (F, F),
bins: usize,
daughter_indices: Option<Vec<usize>>,
) -> (Vec<Vec<usize>>, Vec<usize>, Vec<usize>) {
let mass = |e: &Event<F>| {
let p4: FourMomentum<F> = daughter_indices
.clone()
.unwrap_or_else(|| vec![0, 1])
.iter()
.map(|i| e.daughter_p4s[*i])
.sum();
p4.m()
};
self.get_binned_indices(mass, range, bins)
}
/// Generates a new [`Dataset`] from a Parquet file.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_parquet(path: &str) -> Result<Self, RustitudeError> {
let path = Path::new(path);
let file = File::open(path)?;
let reader = SerializedFileReader::new(file)?;
let row_iter = reader.get_row_iter(None)?;
Ok(Self::new(
row_iter
.enumerate()
.map(|(i, row)| Event::read_parquet_row(i, row))
.collect::<Result<Vec<Event<F>>, RustitudeError>>()?,
))
}
/// Generates a new [`Dataset`] from a Parquet file, assuming the EPS vector can be constructed
/// from the x and y-components of the beam.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_parquet_eps_in_beam(path: &str) -> Result<Self, RustitudeError> {
let path = Path::new(path);
let file = File::open(path)?;
let reader = SerializedFileReader::new(file)?;
let row_iter = reader.get_row_iter(None)?;
Ok(Self::new(
row_iter
.enumerate()
.map(|(i, row)| Event::read_parquet_row_eps_in_beam(i, row))
.collect::<Result<Vec<Event<F>>, RustitudeError>>()?,
))
}
/// Generates a new [`Dataset`] from a Parquet file with a given EPS polarization vector.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_parquet_with_eps(path: &str, eps: Vec<F>) -> Result<Self, RustitudeError> {
let path = Path::new(path);
let file = File::open(path)?;
let reader = SerializedFileReader::new(file)?;
let row_iter = reader.get_row_iter(None)?;
let eps_vec = Vector3::from_vec(eps);
Ok(Self::new(
row_iter
.enumerate()
.map(|(i, row)| Event::read_parquet_row_with_eps(i, row, eps_vec))
.collect::<Result<Vec<Event<F>>, RustitudeError>>()?,
))
}
/// Generates a new [`Dataset`] from a Parquet file with EPS = `[0, 0, 0]`.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_parquet_unpolarized(path: &str) -> Result<Self, RustitudeError> {
let path = Path::new(path);
let file = File::open(path)?;
let reader = SerializedFileReader::new(file)?;
let row_iter = reader.get_row_iter(None)?;
Ok(Self::new(
row_iter
.enumerate()
.map(|(i, row)| Event::read_parquet_row_unpolarized(i, row))
.collect::<Result<Vec<Event<F>>, RustitudeError>>()?,
))
}
/// Extract a branch from a ROOT `TTree` containing a [`Field`] (float in C). This method
/// converts the underlying element to an [`Field`].
fn extract_f32(path: &str, ttree: &ReaderTree, branch: &str) -> Result<Vec<F>, RustitudeError> {
let res = ttree
.branch(branch)
.ok_or_else(|| {
RustitudeError::OxyrootError(format!(
"Could not find {} branch in {}",
branch, path
))
})?
.as_iter::<f64>()
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?
.map(F::convert_f64)
.collect();
Ok(res)
}
/// Extract a branch from a ROOT `TTree` containing an array of [`Field`]s (floats in C). This
/// method converts the underlying elements to [`Field`]s.
fn extract_vec_f32(
path: &str,
ttree: &ReaderTree,
branch: &str,
) -> Result<Vec<Vec<F>>, RustitudeError> {
let res: Vec<Vec<F>> = ttree
.branch(branch)
.ok_or_else(|| {
RustitudeError::OxyrootError(format!(
"Could not find {} branch in {}",
branch, path
))
})?
.as_iter::<Slice<f64>>()
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?
.map(|v| v.into_vec().into_iter().map(F::convert_f64).collect())
.collect();
Ok(res)
}
/// Generates a new [`Dataset`] from a ROOT file.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_root(path: &str) -> Result<Self, RustitudeError> {
let ttree = RootFile::open(path)
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?
.get_tree("kin")
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?;
let weight: Vec<F> = Self::extract_f32(path, &ttree, "Weight")?;
let e_beam: Vec<F> = Self::extract_f32(path, &ttree, "E_Beam")?;
let px_beam: Vec<F> = Self::extract_f32(path, &ttree, "Px_Beam")?;
let py_beam: Vec<F> = Self::extract_f32(path, &ttree, "Py_Beam")?;
let pz_beam: Vec<F> = Self::extract_f32(path, &ttree, "Pz_Beam")?;
let e_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "E_FinalState")?;
let px_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Px_FinalState")?;
let py_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Py_FinalState")?;
let pz_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Pz_FinalState")?;
let eps: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "EPS")?;
Ok(Self::new(
izip!(weight, e_beam, px_beam, py_beam, pz_beam, e_fs, px_fs, py_fs, pz_fs, eps)
.enumerate()
.map(
|(i, (w, e_b, px_b, py_b, pz_b, e_f, px_f, py_f, pz_f, eps_vec))| Event {
index: i,
weight: w,
beam_p4: FourMomentum::new(e_b, px_b, py_b, pz_b),
recoil_p4: FourMomentum::new(e_f[0], px_f[0], py_f[0], pz_f[0]),
daughter_p4s: izip!(
e_f[1..].iter(),
px_f[1..].iter(),
py_f[1..].iter(),
pz_f[1..].iter()
)
.map(|(e, px, py, pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect(),
eps: Vector3::from_vec(eps_vec),
},
)
.collect(),
))
}
/// Generates a new [`Dataset`] from a ROOT file, assuming the EPS vector can be constructed
/// from the x and y-components of the beam.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_root_eps_in_beam(path: &str) -> Result<Self, RustitudeError> {
let ttree = RootFile::open(path)
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?
.get_tree("kin")
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?;
let weight: Vec<F> = Self::extract_f32(path, &ttree, "Weight")?;
let e_beam: Vec<F> = Self::extract_f32(path, &ttree, "E_Beam")?;
let px_beam: Vec<F> = Self::extract_f32(path, &ttree, "Px_Beam")?;
let py_beam: Vec<F> = Self::extract_f32(path, &ttree, "Py_Beam")?;
let pz_beam: Vec<F> = Self::extract_f32(path, &ttree, "E_Beam")?;
let e_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "E_FinalState")?;
let px_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Px_FinalState")?;
let py_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Py_FinalState")?;
let pz_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Pz_FinalState")?;
Ok(Self::new(
izip!(weight, e_beam, px_beam, py_beam, pz_beam, e_fs, px_fs, py_fs, pz_fs)
.enumerate()
.map(
|(i, (w, e_b, px_b, py_b, pz_b, e_f, px_f, py_f, pz_f))| Event {
index: i,
weight: w,
beam_p4: FourMomentum::new(e_b, F::zero(), F::zero(), pz_b),
recoil_p4: FourMomentum::new(e_f[0], px_f[0], py_f[0], pz_f[0]),
daughter_p4s: izip!(
e_f[1..].iter(),
px_f[1..].iter(),
py_f[1..].iter(),
pz_f[1..].iter()
)
.map(|(e, px, py, pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect(),
eps: Vector3::from_vec(vec![px_b, py_b, F::zero()]),
},
)
.collect(),
))
}
/// Generates a new [`Dataset`] from a Parquet file with a given EPS polarization vector.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_root_with_eps(path: &str, eps: Vec<F>) -> Result<Self, RustitudeError> {
let ttree = RootFile::open(path)
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?
.get_tree("kin")
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?;
let weight: Vec<F> = Self::extract_f32(path, &ttree, "Weight")?;
let e_beam: Vec<F> = Self::extract_f32(path, &ttree, "E_Beam")?;
let px_beam: Vec<F> = Self::extract_f32(path, &ttree, "Px_Beam")?;
let py_beam: Vec<F> = Self::extract_f32(path, &ttree, "Py_Beam")?;
let pz_beam: Vec<F> = Self::extract_f32(path, &ttree, "Pz_Beam")?;
let e_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "E_FinalState")?;
let px_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Px_FinalState")?;
let py_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Py_FinalState")?;
let pz_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Pz_FinalState")?;
let eps = Vector3::from_vec(eps);
Ok(Self::new(
izip!(weight, e_beam, px_beam, py_beam, pz_beam, e_fs, px_fs, py_fs, pz_fs)
.enumerate()
.map(
|(i, (w, e_b, px_b, py_b, pz_b, e_f, px_f, py_f, pz_f))| Event {
index: i,
weight: w,
beam_p4: FourMomentum::new(e_b, px_b, py_b, pz_b),
recoil_p4: FourMomentum::new(e_f[0], px_f[0], py_f[0], pz_f[0]),
daughter_p4s: izip!(
e_f[1..].iter(),
px_f[1..].iter(),
py_f[1..].iter(),
pz_f[1..].iter()
)
.map(|(e, px, py, pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect(),
eps,
},
)
.collect(),
))
}
/// Generates a new [`Dataset`] from a Parquet file with EPS = `[0, 0, 0]`.
///
/// # Errors
///
/// This method will fail if any individual event is missing all of the required fields, if
/// they have the wrong type, or if the file doesn't exist/can't be read for any reason.
pub fn from_root_unpolarized(path: &str) -> Result<Self, RustitudeError> {
let ttree = RootFile::open(path)
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?
.get_tree("kin")
.map_err(|err| RustitudeError::OxyrootError(err.to_string()))?;
let weight: Vec<F> = Self::extract_f32(path, &ttree, "Weight")?;
let e_beam: Vec<F> = Self::extract_f32(path, &ttree, "E_Beam")?;
let px_beam: Vec<F> = Self::extract_f32(path, &ttree, "Px_Beam")?;
let py_beam: Vec<F> = Self::extract_f32(path, &ttree, "Py_Beam")?;
let pz_beam: Vec<F> = Self::extract_f32(path, &ttree, "Pz_Beam")?;
let e_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "E_FinalState")?;
let px_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Px_FinalState")?;
let py_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Py_FinalState")?;
let pz_fs: Vec<Vec<F>> = Self::extract_vec_f32(path, &ttree, "Pz_FinalState")?;
Ok(Self::new(
izip!(weight, e_beam, px_beam, py_beam, pz_beam, e_fs, px_fs, py_fs, pz_fs)
.enumerate()
.map(
|(i, (w, e_b, px_b, py_b, pz_b, e_f, px_f, py_f, pz_f))| Event {
index: i,
weight: w,
beam_p4: FourMomentum::new(e_b, px_b, py_b, pz_b),
recoil_p4: FourMomentum::new(e_f[0], px_f[0], py_f[0], pz_f[0]),
daughter_p4s: izip!(
e_f[1..].iter(),
px_f[1..].iter(),
py_f[1..].iter(),
pz_f[1..].iter()
)
.map(|(e, px, py, pz)| FourMomentum::new(*e, *px, *py, *pz))
.collect(),
eps: Vector3::default(),
},
)
.collect(),
))
}
/// Generate a new [`Dataset`] from a [`Vec<Event>`].
pub fn new(events: Vec<Event<F>>) -> Self {
info!("Dataset created with {} events", events.len());
Self {
events: Arc::new(events),
}
}
/// Checks if the dataset is empty.
pub fn is_empty(&self) -> bool {
self.events.is_empty()
}
/// Returns the number of events in the dataset.
pub fn len(&self) -> usize {
self.events.len()
}
/// Returns a set of indices which represent a bootstrapped [`Dataset`]. This method is to be
/// used in conjunction with
/// [`Manager::evaluate_indexed`](crate::manager::Manager::evaluate_indexed).
pub fn get_bootstrap_indices(&self, seed: usize) -> Vec<usize> {
fastrand::seed(seed as u64);
let mut inds: Vec<usize> = repeat_with(|| fastrand::usize(0..self.len()))
.take(self.len())
.collect();
inds.sort_unstable();
inds
}
/// Selects indices of events in a dataset using the given query. Indices of events for which
/// the query returns `true` will end up in the first member of the returned tuple, and indices
/// of events which return `false` will end up in the second member.
pub fn get_selected_indices(
&self,
query: impl Fn(&Event<F>) -> bool + Sync + Send,
) -> (Vec<usize>, Vec<usize>) {
let (mut indices_selected, mut indices_rejected): (Vec<usize>, Vec<usize>) =
self.events.par_iter().partition_map(|event| {
if query(event) {
Either::Left(event.index)
} else {
Either::Right(event.index)
}
});
indices_selected.sort_unstable();
indices_rejected.sort_unstable();
(indices_selected, indices_rejected)
}
/// Splits the dataset by the given query. This method returns [`Vec<usize>`]s corresponding to
/// the indices of events in each bin, the underflow bin, and the overflow bin respectively.
/// This is intended to be used in conjunction with
/// [`Manager::evaluate_indexed`](`crate::manager::Manager::evaluate_indexed`).
pub fn get_binned_indices(
&self,
variable: impl Fn(&Event<F>) -> F + Sync + Send,
range: (F, F),
nbins: usize,
) -> (Vec<Vec<usize>>, Vec<usize>, Vec<usize>) {
let mut bins: Vec<F> = Vec::with_capacity(nbins + 1);
let width = (range.1 - range.0) / <F as Field>::convert_usize(nbins);
for m in 0..=nbins {
bins.push(F::fmul_add(width, <F as Field>::convert_usize(m), range.0));
}
let (underflow, _) = self.get_selected_indices(|event| variable(event) < bins[0]);
let (overflow, _) =
self.get_selected_indices(|event| variable(event) >= bins[bins.len() - 1]);
let binned_indices = bins
.into_iter()
.tuple_windows()
.map(|(lb, ub)| {
let (sel, _) = self.get_selected_indices(|event| {
let res = variable(event);
lb <= res && res < ub
});
sel
})
.collect();
(binned_indices, underflow, overflow)
}
}