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+from numpy import array, diff, mean, median +from numpy.linalg import norm +from rich.console import Console +from pathlib import Path +from matplotlib.pyplot import figure, show + +from utils import diff_matrix, Directions, Axis, Vector + +from framel import frgetvect + +console = Console() + + +def frgetvectN( + filename: str | list[str], + channels: list[str], + start: int = -1, + span: int = -1, + verbose: bool = False, +) -> list[Any]: + return [frgetvect(filename, channel, start, span, verbose) for channel in channels] + + +def main( + file: Path, + start: int = 15, + duration: int = 2 * 5 * 49, + factors: list = [1.00, 0.90, 1.95, 1.19], + step: int = 50, + _show: bool = False, +): + factors = array(factors) + indexes = diff_matrix(3) + steps = step * factors + + channels_name = ["FitPosY", "FitPosX"] + channels = [ + "V1:Camera_Scatter_{}".format(channel_name) for channel_name in channels_name + ] + + data = frgetvectN(str(file), channels) + + if _show: + Figure = figure() + for i in range(len(data)): + Figure.gca().plot( + data[i][0][start : start + duration], label=channels_name[i] + ) + Figure.gca().legend() + show() + + medians = [ + median(datum[0][start : start + duration].reshape((-1, 10)), axis=1) + for datum in data + ] + positions = [ + [diff(median)[index] for index in indexes] for median in medians + ] # liste de mouvements associé à un axe pour une direction + + means: Any = list() + + for i in range(len(positions[0])): + if i < 2: + means.append(mean(positions[0][i] / steps[i])) + else: + means.append(mean(positions[1][i] / steps[i])) + + means = array(means) + + temps = list() + for i in range(len(positions[0])): + temp = list() + for j in range(len(positions)): + temp.append(mean(positions[j][i]) / steps[i]) + temps.append(Vector(x=temp[0], y=temp[1])) + + directions = Directions( + x=Axis(pos=temps[0], neg=temps[1]), + y=Axis(pos=temps[2], neg=temps[3]), + ) + + i, k = 1, norm(directions.x.pos) / norm(directions.y.pos) + j = ( + directions.y.neg.x * (-k * directions.y.pos.y - i * directions.x.pos.y) + + k * directions.y.neg.y * directions.y.pos.x + + i * directions.x.pos.x * directions.y.neg.y + ) / ( + directions.x.neg.y * directions.y.neg.x + - directions.x.neg.x * directions.y.neg.y + ) + l = -( + directions.x.neg.x * (-k * directions.y.pos.y - i * directions.x.pos.y) + + k * directions.x.neg.y * directions.y.pos.x + + i * directions.x.neg.y * directions.x.pos.x + ) / ( + directions.x.neg.y * directions.y.neg.x + - directions.x.neg.x * directions.y.neg.y + ) + + if _show: + Figure = figure() + namess = ["X", "Y"] + names = ["X+", "X-", "Y+", "Y-"] + for i in range(len(positions)): + position = positions[i] + name = namess[i] + for j in range(len(position)): + name_ = names[j] + Figure.gca().plot(position[j], label="{} {}".format(name, name_)) + Figure.gca().legend() + show() + + new_factors = array([i, j, k, l]) + + console.print("movement for one step:") + console.print(directions) + console.print("factors are: {}".format(new_factors)) + + console.print("-------------------") + console.print(new_factors * means) + console.print(factors * means) + + +main( + Path( + "/home/demagny/data/backscattermeter/camera/snail_N3_SXp50_old_1-1429443262-102.gwf" + ), +) + +main( + Path( + "/home/demagny/data/backscattermeter/camera/snail_N3_SXp50_3-1429442495-124.gwf" + ), + 96, + 2 * 5 * 49, + [1.00, 0.90, 1.95, 1.404], +) diff --git a/mise.toml b/mise.toml new file mode 100644 index 0000000..1c1f968 --- /dev/null +++ b/mise.toml @@ -0,0 +1,5 @@ +[tools] +python = "3.12.9" + +[env] +_.python.venv = { path = ".venv", create = true, uv_create_args = ["--seed"] } diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..089b62a --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,14 @@ +[project] +name = "camera_analysis" +version = "1.0.0" +description = "Tools to check beam path on camera" +authors = [{ name = "linarphy", email = "augustin.demagny@ligo.org" }] +readme = "README.md" +requires-python = ">3.12" +dependencies = ["framel", "gwpy>=3.0.12", "pyqt6>=6.9.0", "rich>=14.0.0"] + +[dependency-groups] +dev = ["basedpyright>=1.29.0", "ruff>=0.11.6"] + +[tool.uv.sources] +framel = { path = "../../../Fr/custom_python" } diff --git a/utils.py b/utils.py new file mode 100644 index 0000000..cd9c69b --- /dev/null +++ b/utils.py @@ -0,0 +1,164 @@ +from numpy import zeros +from numpy.typing import NDArray +from typing import NamedTuple, Any + + +def compute_matrix(number: int): + """ + Compute the index order (from 1 because it will be used by MATLAB) of measurmenet taken with a "snail" shape. + Used for the backscattermeter analysis MATLAB script + + Parameters + ---------- + number: int + Number of block from center to the extremity of the map + """ + matrix = zeros((number * 2 + 1, number * 2 + 1), dtype=int) + cursor = [number, number] + counter = 1 + matrix[*cursor] = counter + for i in range(number * 2): + for _ in range(i + 1): + if i % 2 == 0: + cursor[1] += 1 + else: + cursor[1] -= 1 + counter += 1 + matrix[*cursor] = counter + for _ in range(i + 1): + if i % 2 == 0: + cursor[0] -= 1 + else: + cursor[0] += 1 + counter += 1 + matrix[*cursor] = counter + for i in range(number): + cursor[1] += 1 + counter += 1 + matrix[*cursor] = counter + for i in range(number): + cursor[1] += 1 + counter += 1 + matrix[*cursor] = counter + return matrix + + +def diff_matrix(number: int) -> list[list[int]]: + posX, negX, posY, negY = [], [], [], [] + index = 0 + for i in range(number * 2): + for _ in range(i + 1): + if i % 2 == 0: + posX.append(index) + else: + negX.append(index) + index += 1 + for _ in range(i + 1): + if i % 2 == 0: + posY.append(index) + else: + negY.append(index) + index += 1 + for _ in range(number): + posX.append(index) + index += 1 + for _ in range(number): + posY.append(index) + index += 1 + return [posX, negX, posY, negY] + + +def python2matlab(array: NDArray[Any]): + """ + Return the MATLAB representation of a 2d python numpy array + + Parameters + ---------- + array: NDArray[Any] + 2d array + """ + if len(array.shape) != 2: + raise ValueError("Can only show the representation of 2D numpy array") + result = "matrix = [ " + for column_index in range(array.shape[1]): + for row_index in range(array.shape[0]): + result += "{} ".format(array[row_index, column_index]) + if column_index != array.shape[1] - 1: + result += "; " + result += "]';" + return result + + +class Vector(NamedTuple): + x: float + y: float + + def __truediv__(self, other: "Vector | float | int") -> "Vector": + if type(other) is type(self): + return Vector(x=self.x / other.x, y=self.y / other.y) + return Vector(x=self.x / other, y=self.y / other) + + def __mul__(self, other: "Vector | float | int") -> "Vector": + if type(other) is type(self): + return Vector(x=self.x * other.x, y=self.y * other.y) + return Vector(x=self.x * other, y=self.y * other) + + def add(self, other: "Point | Vector | float | int") -> "Vector": + if type(other) == type(self) or type(other) is Point: + return Vector(x=self.x + other.x, y=self.y + other.y) + return Vector(x=self.x + other, y=self.y + other) + + +class Point(NamedTuple): + x: float + y: float + + def add(self, other: "Point | Vector | float | int") -> "Point": + if type(other) == type(self) or type(other) is Vector: + return Point(x=self.x + other.x, y=self.y + other.y) + return Point(x=self.x + other, y=self.y + other) + + +class Axis(NamedTuple): + pos: Vector + neg: Vector + + +class Directions(NamedTuple): + x: Axis + y: Axis + + +def convert_to_base(base: tuple[Vector, Vector], vector: Vector) -> Vector: + y = (vector.y - (base[0].y * vector.x / base[0].x)) / ( + base[1].y - (base[0].y * base[1].x / base[0].x) + ) + x = vector.x / base[0].x - y * (base[1].x / base[0].x) + return Vector(x=x, y=y) + + +def move_snail( + n_grid: int, point: Point, directions: Directions +) -> tuple[list[Vector], Point]: + movement: list[Vector] = [] + for i in range(2 * n_grid): + for _ in range(i + 1): + if (i % 2) == 0: + movement.append(directions.x.pos) + else: + movement.append(directions.x.neg) + point = point.add(movement[-1]) + for _ in range(i + 1): + if (i % 2) == 0: + movement.append(directions.y.pos) + else: + movement.append(directions.y.neg) + point = point.add(movement[-1]) + # go back + for i in range(n_grid): + movement.append(directions.x.pos) + point = point.add(movement[-1]) + for i in range(n_grid): + movement.append(directions.y.pos) + point = point.add(movement[-1]) + return movement, point diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..bc51f20 --- /dev/null +++ b/uv.lock @@ -0,0 +1,1014 @@ +version = 1 +revision = 1 +requires-python = ">3.12" + +[[package]] +name = "astropy" +version = "7.0.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "astropy-iers-data" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "pyerfa" }, + { name = "pyyaml" }, +] +sdist = { url = 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