nenupy.schedule.schedule.ScheduleBlock

class nenupy.schedule.schedule.ScheduleBlock(name, program, target, constraints, duration, dt, processing_delay, max_extended_duration)

Bases: ObsBlock

__init__(name, program, target, constraints, duration, dt, processing_delay, max_extended_duration)

Methods

__init__(name, program, target, constraints, ...)
evaluate_score(time, sun_elevation, sun_position)
get([operation])
is_within(start, stop)
periodic_observation(start_time, stop_time, ...)	Create duplicates of the observing block periodically spread in time between start_time and stop_time.
plot(**kwargs)	kwargs
reset()

Attributes

constraints
indices
isBooked
kpColor
program
score
size
statusColor
target
title

property constraints

evaluate_score(time, sun_elevation, sun_position)

get(operation=<built-in function eq>, **kwargs)

Example

bb = aa.get(program=’es00’)

property indices

property isBooked

property kpColor

periodic_observation(start_time, stop_time, periodicity, tolerance, repetition_max=None)

Create duplicates of the observing block periodically spread in time between start_time and stop_time. This methods adds to the ObsBlock’s constraints a new TimeRangeCnst. Each copied block is then constrained to occur at \(t_0 + n \times \Delta t \pm \delta t\) (where \(t_0\) is start_time, \(\Delta t\) is periodicity and \(\delta t\) is the tolerance).

Parameters:

• start_time (Time) – The start time of the duplication period.

• stop_time (Time) – The stop time of the duplication period.

• periodicity (TimeDelta) – The time periodicity at which the time block is repeated.

• tolerance (TimeDelta) – The tolerance in time duration with respect to a strict repetition. The higher the tolerance, the easier the block will be scheduled. Keep also in mind that if the tolerance is too small and the starting time poorly chosen, the target may never be observed (for instance the allowed time range may not match when the target is above the horizon).

• repetition_max (int, optional) – Maximum number of repetitions. Default is None, i.e. the the repetitions are going on until reaching stop_time.

Returns:

The observations blocks.

Return type:

Block

Warning

The original ObsBlock cannot already contain an instance of TimeRangeCnst. An error is raised in this case.

Examples

>>> from nenupy.schedule import ObsBlock, ESTarget
>>> from astropy.time import Time, TimeDelta

>>> crab = ObsBlock(
        name="Crab",
        program="LT03",
        target=ESTarget.fromName("Crab"),
        duration=TimeDelta(3600, format="sec")
    )
>>> crab_blocks = crab.periodic_observation(
        start_time=Time("2025-06-01 00:00:00"),
        stop_time=Time("2025-12-01 00:00:00"),
        periodicity=TimeDelta(28, format="jd"),
        tolerance=TimeDelta(3, format="jd")
    )

plot(**kwargs)

kwargs

figsize nPoints figname

property program

reset()

property score

property size

property statusColor

property target

property title