Embedded newform data - 3120.1.iq.a.1907.2

Formats: - HTML - YAML - JSON - 2025-12-28T11:12:40.970382

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3120, 'analytic_conductor': 1.5570828394149674, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3120, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 225, 'char_orbit_label': 'iq', 'char_order': 12, 'char_parity': -1, 'char_values': [3120, 12, [1951, 2341, 2081, 2497, 2641], [6, 9, 6, 3, 4]], 'cm_discs': [], 'conrey_index': 1667, 'dim': 8, 'field_disc': 5308416, 'field_disc_factorization': [[2, 16], [3, 4]], 'field_poly': [1, 0, 0, 0, -1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 24, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 15393179569200, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 13, 3, 1, 3, 0], [1, 1, 39, 9, -1, 6, 0], [1, 1, 80, 10, 1, 4, 0], [1, 1, 240, 30, -1, 4, 0], [1, 1, 1040, 138, 1, 12, 0], [1, 1, 3120, 225, -1, 12, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3120.1.iq.a', 'level': 3120, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '3120.1.iq.a', 'nf_label': '8.0.5308416.1', 'prim_orbit_index': 225, 'projective_field': [-380, -480, -20, 0, 1], 'projective_field_label': '4.2.129792000.3', 'projective_image': 'S4', 'projective_image_type': 'S4', 'qexp_display': 'q-\\zeta_{24}q^{2}-\\zeta_{24}^{10}q^{3}+\\zeta_{24}^{2}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3120.1.iq', 'trace_display': [0, 0, 0, 4], 'traces': [8, 0, 0, 0, 0, 0, 4, 0, 4, 4, 0, 8, -8, 0, 0, 4, 0, 0, 0, 0, -8, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 8, 0, 0, -8, 0, 4, 0, 0, 0, -8, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 8, -4, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, 0, -8, 0, 0, -4, 0, 4, 8, 0, 0, 8, 0, 0, -4, 0, -4, 0, 0, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -8, 4, 0, 0, -8, 0, 8, 4, 0, -4, 0, 0, 0, 0, 0, 0, 4, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 8, 4, 0, 0, -4, 0, 0, -8, 0, 0, -4, 0, 0, 0, 0, -4, 0, 0, 4, 4, 0, 0, -8, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, 0, 0, 0, 0, 0, 0, 4, 0, 4, -8, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 4, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 4, 0, 0, -4, 0, 0, -8, 0, 0, 0, 0, -4, -8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 4, 0, 0, 4, 0, 4, 4, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, -8, 0, 0, -4, 0, 0, 0, 0, 0, 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0, 0, 0, 4, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, -4, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, -4, 0, 0, 0, 0, 0, -4, 8, 0, 4, -8, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0], 'weight': 1, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.9659258262890683, -0.25881904510252074], [0.8660254037844386, 0.5], [0.8660254037844386, -0.5], [0.7071067811865476, -0.7071067811865476], [0.9659258262890683, 0.25881904510252074], [-0.36602540378443865, 1.3660254037844386], [0.7071067811865476, -0.7071067811865476], [0.5, 0.8660254037844386], [0.5, -0.8660254037844386], [-0.25881904510252074, -0.9659258262890683], [1.0, 0.0], [-1.0, 0.0], [0.0, 1.4142135623730951], [0.9659258262890683, -0.25881904510252074], [0.5, -0.8660254037844386], [0.0, 0.0], [0.7071067811865476, 0.7071067811865476], [0.0, 0.0], [0.25881904510252074, -0.9659258262890683], [-1.0, 1.0], [-0.5, -0.8660254037844386], [-0.9659258262890683, 0.25881904510252074], [0.9659258262890683, -0.25881904510252074], [0.0, -1.0], [-0.9659258262890683, 0.25881904510252074], [0.0, 1.0], [0.36602540378443865, 1.3660254037844386], [0.9659258262890683, -0.25881904510252074], [0.8660254037844386, -0.5], [0.0, -1.0], [0.25881904510252074, 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0.0], [0.0, 0.0], [0.5, 0.8660254037844386], [0.0, 0.0], [-0.25881904510252074, -0.9659258262890683], [-0.25881904510252074, -0.9659258262890683], [-0.8660254037844386, 0.5], [0.0, 0.0], [-0.7071067811865476, -1.224744871391589], [1.3660254037844386, 0.36602540378443865], [0.0, 0.0], [-0.5, -0.8660254037844386], [0.0, 0.0], [0.0, 0.0], [-1.4142135623730951, 0.0], [0.0, -1.0], [0.0, -1.4142135623730951], [0.0, 0.0], [0.0, 0.0], [0.9659258262890683, 0.25881904510252074], [0.0, 0.0], [-1.3660254037844386, -0.36602540378443865], [-0.9659258262890683, -0.25881904510252074], [0.0, -1.4142135623730951], [0.0, 0.0], [-1.224744871391589, -0.7071067811865476], [0.25881904510252074, 0.9659258262890683], [0.0, 0.0], [0.9659258262890683, 0.25881904510252074], [0.0, 0.0], [-1.3660254037844386, 0.36602540378443865], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.25881904510252074, 0.9659258262890683], [0.0, -1.0], [-0.5176380902050415, 1.9318516525781366], [0.8660254037844386, 0.5], [-0.36602540378443865, -1.3660254037844386], [-0.7071067811865476, -0.7071067811865476], [-0.25881904510252074, 0.9659258262890683], [0.0, 1.0], [0.0, 0.0], [0.36602540378443865, 1.3660254037844386], [0.5, 0.8660254037844386], [0.0, 0.0], [-0.8660254037844386, 0.5], [0.0, 0.0], [0.0, 1.4142135623730951], [0.7071067811865476, 1.224744871391589], [-0.5, 0.8660254037844386], [0.7071067811865476, -1.224744871391589], [1.4142135623730951, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8660254037844386, 0.5], [-0.8660254037844386, -0.5], [0.0, 0.0], [0.0, 0.0], [-0.8660254037844386, 0.5], [0.0, 0.0], [1.0, -1.0], [0.0, 0.0], [-0.7071067811865476, 1.224744871391589], [-1.3660254037844386, 0.36602540378443865], [0.0, 1.0], [0.0, 0.0], [-0.7071067811865476, -0.7071067811865476], [-0.8660254037844386, -0.5], [-0.9659258262890683, 0.25881904510252074], [-0.5, -0.8660254037844386], [1.0, 1.0], [0.9659258262890683, 0.25881904510252074], [-0.36602540378443865, 1.3660254037844386], [-1.0, 0.0], [0.25881904510252074, -0.9659258262890683], [0.0, 0.0], [-0.5, 0.8660254037844386], [-1.4142135623730951, -1.4142135623730951], [0.0, 0.0], [0.0, 0.0], [1.224744871391589, 0.7071067811865476], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9659258262890683, -0.25881904510252074], [-0.5, 0.8660254037844386], [-0.9659258262890683, 0.25881904510252074]], 'angles': [None, None, None, 0.16666666666666666, -0.4583333333333333, None, -0.20833333333333334, -0.4583333333333333, -0.375, -0.20833333333333334, -0.4166666666666667, 0.16666666666666666, -0.4166666666666667, 0.0, -0.041666666666666664, -0.375, 0.125, -0.4583333333333333, -0.4166666666666667, -0.4583333333333333, -0.25, -0.3333333333333333, -0.25, -0.2916666666666667, -0.4583333333333333, -0.041666666666666664, 0.25, -0.4166666666666667, -0.25, -0.375, -0.041666666666666664, -0.041666666666666664, -0.375, -0.08333333333333333, -0.2916666666666667, -0.25, 0.08333333333333333, -0.4166666666666667, -0.4583333333333333, -0.4583333333333333, -0.4583333333333333, 0.25, -0.08333333333333333, -0.4166666666666667, -0.16666666666666666, -0.3333333333333333, -0.041666666666666664, -0.16666666666666666, -0.20833333333333334, 0.0, -0.2916666666666667, 0.0, 0.0, -0.125, 0.041666666666666664, -0.375, -0.20833333333333334, -0.25, 0.0, -0.25, -0.3333333333333333, -0.08333333333333333, -0.25, 0.125, -0.125, -0.25, -0.4583333333333333, 0.0, -0.08333333333333333, 0.08333333333333333, -0.2916666666666667, -0.125, -0.4166666666666667, -0.25, -0.041666666666666664, -0.2916666666666667, -0.2916666666666667, -0.25, -0.16666666666666666, -0.08333333333333333, 0.20833333333333334, -0.375, -0.4166666666666667, -0.20833333333333334, 0.08333333333333333, 0.0, -0.08333333333333333, -0.041666666666666664, -0.2916666666666667, -0.125, 0.125, -0.16666666666666666, -0.3333333333333333, -0.041666666666666664, -0.125, -0.4583333333333333, -0.375, -0.375, -0.3333333333333333, -0.25, -0.25, 0.20833333333333334, -0.08333333333333333, -0.2916666666666667, 0.0, -0.125, -0.4166666666666667, -0.041666666666666664, -0.375, -0.25, -0.20833333333333334, -0.08333333333333333, -0.375, 0.25, -0.08333333333333333, -0.4583333333333333, -0.3333333333333333, -0.041666666666666664, -0.041666666666666664, -0.2916666666666667, 0.08333333333333333, 0.08333333333333333, -0.375, -0.3333333333333333, -0.4166666666666667, -0.2916666666666667, -0.4583333333333333, -0.3333333333333333, -0.125, -0.25, -0.16666666666666666, -0.20833333333333334, -0.25, -0.4166666666666667, -0.08333333333333333, -0.08333333333333333, -0.08333333333333333, 0.0, 0.041666666666666664, -0.16666666666666666, -0.125, -0.20833333333333334, -0.08333333333333333, -0.25, -0.041666666666666664, -0.4583333333333333, 0.08333333333333333, -0.041666666666666664, 0.25, -0.4583333333333333, -0.25, -0.041666666666666664, -0.4166666666666667, 0.041666666666666664, -0.25, -0.25, -0.3333333333333333, -0.4583333333333333, -0.375, -0.375, -0.16666666666666666, -0.125, -0.25, -0.20833333333333334, 0.041666666666666664, -0.20833333333333334, -0.08333333333333333, -0.08333333333333333, -0.4166666666666667, -0.25, -0.125, -0.4583333333333333, -0.4583333333333333, -0.4583333333333333, -0.16666666666666666, -0.20833333333333334, -0.2916666666666667, -0.125, -0.4166666666666667, -0.041666666666666664, -0.375, -0.20833333333333334, -0.4166666666666667, -0.041666666666666664, -0.4583333333333333, -0.125, 0.08333333333333333, -0.4166666666666667, -0.3333333333333333, -0.4583333333333333, -0.20833333333333334, -0.3333333333333333, -0.375, -0.4583333333333333, -0.3333333333333333, -0.041666666666666664, -0.3333333333333333, -0.16666666666666666, -0.4583333333333333, -0.041666666666666664, -0.4583333333333333, -0.25, -0.4166666666666667, 0.0, -0.2916666666666667, -0.4166666666666667, -0.25, -0.08333333333333333, -0.16666666666666666, 0.16666666666666666, -0.2916666666666667, -0.041666666666666664, -0.041666666666666664, 0.041666666666666664, 0.041666666666666664, 0.08333333333333333, -0.375, -0.3333333333333333, -0.2916666666666667, 0.0, -0.4166666666666667, -0.25, -0.25, -0.4583333333333333, -0.2916666666666667, -0.25, -0.4583333333333333, -0.3333333333333333, -0.3333333333333333, -0.2916666666666667, 0.16666666666666666, -0.4166666666666667, -0.16666666666666666, -0.375, -0.3333333333333333, 0.125, -0.4166666666666667, -0.2916666666666667, -0.20833333333333334, -0.041666666666666664, -0.4166666666666667, -0.2916666666666667, -0.20833333333333334, -0.4166666666666667, -0.4583333333333333, -0.375, -0.20833333333333334, -0.2916666666666667, -0.20833333333333334, -0.4583333333333333, -0.25, -0.041666666666666664, -0.4583333333333333, 0.16666666666666666, 0.125, -0.20833333333333334, -0.20833333333333334, -0.16666666666666666, 0.0, -0.20833333333333334, 0.0, -0.2916666666666667, -0.125, -0.16666666666666666, -0.2916666666666667, -0.4583333333333333, 0.2916666666666667, -0.375, 0.0, -0.4583333333333333, 0.0, -0.3333333333333333, -0.2916666666666667, -0.16666666666666666, -0.4583333333333333, -0.4166666666666667, 0.041666666666666664, 0.25, -0.4166666666666667, 0.125, -0.041666666666666664, 0.16666666666666666, -0.2916666666666667, 0.08333333333333333, -0.4166666666666667, -0.375, -0.375, 0.0, -0.25, -0.08333333333333333, 0.041666666666666664, -0.4583333333333333, -0.4583333333333333, -0.2916666666666667, -0.08333333333333333, -0.20833333333333334, 0.08333333333333333, 0.20833333333333334, -0.375, 0.16666666666666666, -0.4583333333333333, -0.25, 0.16666666666666666], 'char_orbit_index': 225, 'conrey_index': 1907, 'dual_conrey_index': 2603, 'dual_embedding_index': 2, 'dual_embedding_m': 6, 'embedding_index': 2, 'embedding_m': 4, 'embedding_root_imag': 0.25881904510252074, 'embedding_root_real': -0.9659258262890683, 'hecke_orbit': 1, 'hecke_orbit_code': 15393179569200, 'label': '3120.1.iq.a.1907.2', 'level': 3120, 'weight': 1}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3120, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 1.5570828394149674, 'char_conductor': 3120, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 225, 'char_orbit_label': 'iq', 'char_order': 12, 'char_parity': -1, 'char_values': [3120, 12, [1951, 2341, 2081, 2497, 2641], [6, 9, 6, 3, 4]], 'conrey_index': 1667, 'cusp_dim': 8, 'dihedral_dim': 0, 'dim': 8, 'eis_dim': 32, 'eis_new_dim': 32, 'hecke_orbit_code': 15393179569200, 'hecke_orbit_dims': [8], 'label': '3120.1.iq', 'level': 3120, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 40, 'mf_new_dim': 40, 'num_forms': 1, 'prim_orbit_index': 225, 'relative_dim': 2, 's4_dim': 8, 'sturm_bound': 672, 'trace_bound': 0, 'trace_display': [0, 0, 0, 4], 'traces': [8, 0, 0, 0, 0, 0, 4, 0, 4, 4, 0, 8, -8, 0, 0, 4, 0, 0, 0, 0, -8, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 8, 0, 0, -8, 0, 4, 0, 0, 0, -8, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 8, -4, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, 0, -8, 0, 0, -4, 0, 4, 8, 0, 0, 8, 0, 0, -4, 0, -4, 0, 0, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -8, 4, 0, 0, -8, 0, 8, 4, 0, -4, 0, 0, 0, 0, 0, 0, 4, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 8, 4, 0, 0, -4, 0, 0, -8, 0, 0, -4, 0, 0, 0, 0, -4, 0, 0, 4, 4, 0, 0, -8, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, 0, 0, 0, 0, 0, 0, 4, 0, 4, -8, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 4, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 4, 0, 0, -4, 0, 0, -8, 0, 0, 0, 0, -4, -8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 4, 0, 0, 4, 0, 4, 4, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, -8, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, -4, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, -4, 0, -4, 8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -4, 0, 0, -8, 0, -4, 4, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, -4, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0, 0, 0, 0, -4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, 4, 0, 0, 0, 0, 0, 4, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, -8, 4, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, -8, 0, 0, -4, 0, 0, -8, 0, 0, 4, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 8, -4, 0, 0, 8, 0, -4, -8, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -4, 0, 8, 0, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, -4, 8, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, -4, 0, 0, 0, 0, 0, 4, 0, 0, -8, 0, 0, 4, 0, 0, 0, 0, -8, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 8, 0, 0, -8, 0, 0, 0, 0, 0, -8, 0, 0, -8, 0, 4, 4, 0, 0, 8, 0, 0, 0, 0, 4, 4, 0, 0, -4, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 8, 0, 4, 0, 0, -4, 8, 0, 0, 0, 0, 4, 0, 0, 4, 4, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 8, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, -4, 4, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -4, -4, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, -4, 0, 0, -4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -8, 8, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, -8, 0, 0, 0, 0, -4, -8, 0, -4, 0, 0, 0, 4, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -8], 'weight': 1, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 33831709
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1907, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.1907.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
  • id: 33831710
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1907, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.1907.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 1}
  • id: 33831711
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1283, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.1283.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 33831712
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1667, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.1667.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '13.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 33831713
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1283, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.1283.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 1}
  • id: 33831714
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 347, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.347.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 1}
  • id: 33831715
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1667, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.1667.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '39.29', 'twisting_conrey_index': 29, 'weight': 1}
  • id: 33831716
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 347, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.347.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 1}
  • id: 33831717
    {'conductor': 65, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1043, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.1043.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '65.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 33831718
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 2843, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.2843.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '80.43', 'twisting_conrey_index': 43, 'weight': 1}
  • id: 33831719
    {'conductor': 195, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 1043, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.1043.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '195.68', 'twisting_conrey_index': 68, 'weight': 1}
  • id: 33831720
    {'conductor': 208, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 107, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.107.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '208.107', 'twisting_conrey_index': 107, 'weight': 1}
  • id: 33831721
    {'conductor': 240, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 2843, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.2843.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '240.203', 'twisting_conrey_index': 203, 'weight': 1}
  • id: 33831722
    {'conductor': 624, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 107, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15736776952880, 'target_is_minimal': True, 'target_label': '3120.1.iv.a.107.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '624.107', 'twisting_conrey_index': 107, 'weight': 1}
  • id: 33831723
    {'conductor': 1040, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 2603, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.2603.1', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '1040.523', 'twisting_conrey_index': 523, 'weight': 1}
  • id: 33831724
    {'conductor': 3120, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 1907, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 15393179569200, 'source_is_minimal': True, 'source_label': '3120.1.iq.a.1907.2', 'source_level': 3120, 'target_conrey_index': 2603, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 15393179569200, 'target_is_minimal': True, 'target_label': '3120.1.iq.a.2603.2', 'target_level': 3120, 'twist_class_label': '3120.1.iq.a.1667.1', 'twist_class_level': 3120, 'twisting_char_label': '3120.2603', 'twisting_conrey_index': 2603, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3013975
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 15393179569200, 'p': 2}
  • id: 3013976
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 2]], 'hecke_orbit_code': 15393179569200, 'p': 3}
  • id: 3013977
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 15393179569200, 'p': 5}
  • id: 3013978
    {'charpoly_factorization': [[[4, -4, 2, -2, 1], 2]], 'hecke_orbit_code': 15393179569200, 'p': 7}
  • id: 3013979
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 15393179569200, 'p': 11}
  • id: 3013980
    {'charpoly_factorization': [[[1, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 13}
  • id: 3013981
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 17}
  • id: 3013982
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 19}
  • id: 3013983
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 15393179569200, 'p': 23}
  • id: 3013984
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 15393179569200, 'p': 29}
  • id: 3013985
    {'charpoly_factorization': [[[1, 0, 1], 4]], 'hecke_orbit_code': 15393179569200, 'p': 31}
  • id: 3013986
    {'charpoly_factorization': [[[1, 1, 1], 4]], 'hecke_orbit_code': 15393179569200, 'p': 37}
  • id: 3013987
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 41}
  • id: 3013988
    {'charpoly_factorization': [[[1, -1, 1], 4]], 'hecke_orbit_code': 15393179569200, 'p': 43}
  • id: 3013989
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 15393179569200, 'p': 47}
  • id: 3013990
    {'charpoly_factorization': [[[-2, 0, 1], 4]], 'hecke_orbit_code': 15393179569200, 'p': 53}
  • id: 3013991
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 15393179569200, 'p': 59}
  • id: 3013992
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 61}
  • id: 3013993
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 67}
  • id: 3013994
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 2]], 'hecke_orbit_code': 15393179569200, 'p': 71}
  • id: 3013995
    {'charpoly_factorization': [[[2, 2, 1], 4]], 'hecke_orbit_code': 15393179569200, 'p': 73}
  • id: 3013996
    {'charpoly_factorization': [[[1, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 79}
  • id: 3013997
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 83}
  • id: 3013998
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 2]], 'hecke_orbit_code': 15393179569200, 'p': 89}
  • id: 3013999
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 15393179569200, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 225, 'hecke_orbit': 1, 'label': '3120.1.iq.a', 'level': 3120, 'portrait': 'data:image/png;base64,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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 16020060
    {'hecke_orbit_code': 15393179569200, 'n': 1, 'trace_an': 8}
  • id: 16020061
    {'hecke_orbit_code': 15393179569200, 'n': 2, 'trace_an': 0}
  • id: 16020062
    {'hecke_orbit_code': 15393179569200, 'n': 3, 'trace_an': 0}
  • id: 16020063
    {'hecke_orbit_code': 15393179569200, 'n': 4, 'trace_an': 0}
  • id: 16020064
    {'hecke_orbit_code': 15393179569200, 'n': 5, 'trace_an': 0}
  • id: 16020065
    {'hecke_orbit_code': 15393179569200, 'n': 6, 'trace_an': 0}
  • id: 16020066
    {'hecke_orbit_code': 15393179569200, 'n': 7, 'trace_an': 4}
  • id: 16020067
    {'hecke_orbit_code': 15393179569200, 'n': 8, 'trace_an': 0}
  • id: 16020068
    {'hecke_orbit_code': 15393179569200, 'n': 9, 'trace_an': 4}
  • id: 16020069
    {'hecke_orbit_code': 15393179569200, 'n': 10, 'trace_an': 4}
  • id: 16020070
    {'hecke_orbit_code': 15393179569200, 'n': 11, 'trace_an': 0}
  • id: 16020071
    {'hecke_orbit_code': 15393179569200, 'n': 12, 'trace_an': 8}
  • id: 16020072
    {'hecke_orbit_code': 15393179569200, 'n': 13, 'trace_an': -8}
  • id: 16020073
    {'hecke_orbit_code': 15393179569200, 'n': 14, 'trace_an': 0}
  • id: 16020074
    {'hecke_orbit_code': 15393179569200, 'n': 15, 'trace_an': 0}
  • id: 16020075
    {'hecke_orbit_code': 15393179569200, 'n': 16, 'trace_an': 4}
  • id: 16020076
    {'hecke_orbit_code': 15393179569200, 'n': 17, 'trace_an': 0}
  • id: 16020077
    {'hecke_orbit_code': 15393179569200, 'n': 18, 'trace_an': 0}
  • id: 16020078
    {'hecke_orbit_code': 15393179569200, 'n': 19, 'trace_an': 0}
  • id: 16020079
    {'hecke_orbit_code': 15393179569200, 'n': 20, 'trace_an': 0}
  • id: 16020080
    {'hecke_orbit_code': 15393179569200, 'n': 21, 'trace_an': -8}
  • id: 16020081
    {'hecke_orbit_code': 15393179569200, 'n': 22, 'trace_an': -4}
  • id: 16020082
    {'hecke_orbit_code': 15393179569200, 'n': 23, 'trace_an': 0}
  • id: 16020083
    {'hecke_orbit_code': 15393179569200, 'n': 24, 'trace_an': 0}
  • id: 16020084
    {'hecke_orbit_code': 15393179569200, 'n': 25, 'trace_an': 0}
  • id: 16020085
    {'hecke_orbit_code': 15393179569200, 'n': 26, 'trace_an': 0}
  • id: 16020086
    {'hecke_orbit_code': 15393179569200, 'n': 27, 'trace_an': 0}
  • id: 16020087
    {'hecke_orbit_code': 15393179569200, 'n': 28, 'trace_an': -4}
  • id: 16020088
    {'hecke_orbit_code': 15393179569200, 'n': 29, 'trace_an': 0}
  • id: 16020089
    {'hecke_orbit_code': 15393179569200, 'n': 30, 'trace_an': 0}
  • id: 16020090
    {'hecke_orbit_code': 15393179569200, 'n': 31, 'trace_an': 0}
  • id: 16020091
    {'hecke_orbit_code': 15393179569200, 'n': 32, 'trace_an': 0}
  • id: 16020092
    {'hecke_orbit_code': 15393179569200, 'n': 33, 'trace_an': 0}
  • id: 16020093
    {'hecke_orbit_code': 15393179569200, 'n': 34, 'trace_an': 0}
  • id: 16020094
    {'hecke_orbit_code': 15393179569200, 'n': 35, 'trace_an': 0}
  • id: 16020095
    {'hecke_orbit_code': 15393179569200, 'n': 36, 'trace_an': 0}
  • id: 16020096
    {'hecke_orbit_code': 15393179569200, 'n': 37, 'trace_an': -4}
  • id: 16020097
    {'hecke_orbit_code': 15393179569200, 'n': 38, 'trace_an': 0}
  • id: 16020098
    {'hecke_orbit_code': 15393179569200, 'n': 39, 'trace_an': 0}
  • id: 16020099
    {'hecke_orbit_code': 15393179569200, 'n': 40, 'trace_an': 0}
  • id: 16020100
    {'hecke_orbit_code': 15393179569200, 'n': 41, 'trace_an': 0}
  • id: 16020101
    {'hecke_orbit_code': 15393179569200, 'n': 42, 'trace_an': 0}
  • id: 16020102
    {'hecke_orbit_code': 15393179569200, 'n': 43, 'trace_an': 4}
  • id: 16020103
    {'hecke_orbit_code': 15393179569200, 'n': 44, 'trace_an': 0}
  • id: 16020104
    {'hecke_orbit_code': 15393179569200, 'n': 45, 'trace_an': 0}
  • id: 16020105
    {'hecke_orbit_code': 15393179569200, 'n': 46, 'trace_an': 0}
  • id: 16020106
    {'hecke_orbit_code': 15393179569200, 'n': 47, 'trace_an': 0}
  • id: 16020107
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  • id: 16020108
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  • id: 16020109
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  • id: 16020110
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  • id: 16020111
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  • id: 16020112
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  • id: 16020113
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  • id: 16020114
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  • id: 16020115
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  • id: 16020116
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  • id: 16020117
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  • id: 16020118
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  • id: 16020119
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  • id: 16020120
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  • id: 16020121
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  • id: 16020122
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  • id: 16020123
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  • id: 16020124
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  • id: 16020125
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  • id: 16020126
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  • id: 16020127
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  • id: 16020128
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  • id: 16020129
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  • id: 16020130
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  • id: 16020131
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  • id: 16020132
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  • id: 16020133
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  • id: 16020134
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  • id: 16020135
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  • id: 16020136
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  • id: 16020137
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  • id: 16020138
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  • id: 16020139
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  • id: 16020140
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  • id: 16020141
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  • id: 16020142
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  • id: 16020143
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  • id: 16020144
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  • id: 16020145
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  • id: 16020146
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  • id: 16020147
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  • id: 16020148
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  • id: 16020149
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  • id: 16020150
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  • id: 16020151
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  • id: 16020152
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  • id: 16020153
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  • id: 16020154
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  • id: 16020155
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  • id: 16020156
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  • id: 16020158
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  • id: 16020159
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  • id: 16020160
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  • id: 16020161
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  • id: 16020162
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  • id: 16020163
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  • id: 16020164
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  • id: 16020165
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  • id: 16020169
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  • id: 16020170
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  • id: 16020171
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  • id: 16020172
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  • id: 16020173
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  • id: 16020176
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  • id: 16020177
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  • id: 16020178
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  • id: 16020179
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  • id: 16020180
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  • id: 16020181
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  • id: 16020182
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  • id: 16020183
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  • id: 16020184
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  • id: 16020185
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  • id: 16020186
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  • id: 16020187
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  • id: 16020188
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  • id: 16020189
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  • id: 16020190
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  • id: 16020191
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  • id: 16020192
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  • id: 16020193
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  • id: 16020194
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  • id: 16020195
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  • id: 16020196
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  • id: 16020197
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  • id: 16020198
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  • id: 16020199
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  • id: 16020200
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  • id: 16020201
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  • id: 16020202
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  • id: 16020203
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  • id: 16020204
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  • id: 16020205
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  • id: 16020206
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  • id: 16020207
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  • id: 16020208
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  • id: 16020209
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  • id: 16020210
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  • id: 16020211
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  • id: 16020212
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  • id: 16020213
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  • id: 16020214
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  • id: 16020215
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  • id: 16020216
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  • id: 16020217
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  • id: 16020218
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  • id: 16020219
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  • id: 16020220
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  • id: 16020221
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  • id: 16020222
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  • id: 16020223
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  • id: 16020224
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  • id: 16020225
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  • id: 16020226
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  • id: 16020227
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  • id: 16020228
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  • id: 16020229
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  • id: 16020230
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  • id: 16020231
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  • id: 16020232
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  • id: 16020233
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  • id: 16020234
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  • id: 16020235
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  • id: 16020236
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  • id: 16020237
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  • id: 16020238
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  • id: 16020239
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  • id: 16020240
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  • id: 16020241
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  • id: 16020242
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  • id: 16020243
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  • id: 16020244
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  • id: 16020245
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  • id: 16020246
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  • id: 16020247
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  • id: 16020248
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  • id: 16020249
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  • id: 16020250
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  • id: 16020251
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  • id: 16020252
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  • id: 16020253
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  • id: 16020254
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  • id: 16020255
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  • id: 16020256
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  • id: 16020257
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  • id: 16020258
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  • id: 16020259
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  • id: 16020260
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  • id: 16020261
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  • id: 16020262
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  • id: 16020263
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  • id: 16020264
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  • id: 16020265
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  • id: 16020266
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  • id: 16020267
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  • id: 16020268
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  • id: 16020269
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  • id: 16020270
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  • id: 16020271
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  • id: 16020272
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  • id: 16020273
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  • id: 16020274
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  • id: 16020275
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  • id: 16020277
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  • id: 16020278
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  • id: 16020279
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  • id: 16020280
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  • id: 16020281
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  • id: 16020292
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  • id: 16020294
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  • id: 16020298
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  • id: 16020299
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  • id: 16020300
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  • id: 16020301
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  • id: 16020302
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  • id: 16020303
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  • id: 16020304
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  • id: 16020306
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  • id: 16020307
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  • id: 16020308
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  • id: 16020310
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  • id: 16020311
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  • id: 16020312
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  • id: 16020313
    {'hecke_orbit_code': 15393179569200, 'n': 971, 'trace_an': 0}
  • id: 16020314
    {'hecke_orbit_code': 15393179569200, 'n': 977, 'trace_an': 0}
  • id: 16020315
    {'hecke_orbit_code': 15393179569200, 'n': 983, 'trace_an': 0}
  • id: 16020316
    {'hecke_orbit_code': 15393179569200, 'n': 991, 'trace_an': 0}
  • id: 16020317
    {'hecke_orbit_code': 15393179569200, 'n': 997, 'trace_an': 0}