Embedded newform data - 2496.2.m.c.2209.11

Formats: - HTML - YAML - JSON - 2025-12-14T01:17:21.194682

• 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': 9984, 'analytic_conductor': 19.930660344511583, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 104, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 2, 'char_parity': 1, 'char_values': [2496, 2, [703, 1093, 833, 769], [2, 1, 2, 1]], 'cm_discs': [], 'conrey_index': 2209, 'dim': 16, 'field_disc': 162447943996702457856, 'field_disc_factorization': [[2, 32], [3, 8], [7, 8]], 'field_poly': [256, 0, 0, 0, -16, 0, 0, 0, -15, 0, 0, 0, -1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4, 0, -10, 0, 1]], [7, [4, 0, 10, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008023922018752, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 65536, 'hecke_ring_index_factorization': [[2, 16]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 52, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 13, 2, 1, 2, 0], [1, 1, 104, 5, 1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 104, 8, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2496.2.m.c', 'level': 2496, '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, 13], 'level_radical': 78, 'minimal_twist': '2496.2.m.c', 'nf_label': '16.0.162447943996702457856.1', 'prim_orbit_index': 5, 'qexp_display': 'q-\\beta _{2}q^{3}-\\beta _{11}q^{5}-\\beta _{14}q^{7}-q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2496.2.m', 'trace_display': [0, 0, 0, 0], 'trace_hash': 254262837716678649, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13.890', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4161.227', 'prec': 27}, {'__RealLiteral__': 0, 'data': '3335.353', 'prec': 27}, {'__RealLiteral__': 0, 'data': '1711460.280', 'prec': 37}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.888', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -16, 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, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, -16, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• 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], [0.0, 0.0], [0.0, 0.5773502691896257], [0.0, 0.0], [-0.28893746902890943, 0.0], [0.0, 0.0], [0.0, -1.1700168310728232], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [-0.4264014327112209, 0.0], [0.0, 0.0], [0.6793662204867574, 0.7337993857053428], [0.0, 0.0], [0.0, -0.16681812552281003], [0.0, 0.0], [-1.3539734854887555, 0.0], [0.0, 0.0], [1.2300562050673158, 0.0], [0.0, 0.0], [0.6755095323762874, 0.0], [0.0, 0.0], [0.7223151185146152, 0.0], [0.0, 0.0], [-0.916515138991168, 0.0], [0.0, 0.0], [0.0, -0.19245008972987526], [0.0, 0.0], [0.0, -0.8129374448918559], [0.0, 0.0], [0.0, 1.6679442751444604], [0.0, 0.0], [0.0, -0.24618298195866548], [0.0, 0.0], [0.0, 0.3380617018914066], [0.0, 0.0], [0.8053872662568292, 0.0], [0.0, 0.0], [-0.4236592728681617, 0.3922322702763681], [0.0, 0.0], [0.0, -1.941670666320479], [0.0, 0.0], [0.0, -0.8513348122543125], [0.0, 0.0], [0.09631248967630314, 0.0], [0.0, 0.0], [0.0, -0.5457768229098153], [0.0, 0.0], 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'hecke_orbit_code': 9008023922018752, 'label': '2496.2.m.c.2209.11', 'level': 2496, 'weight': 2}
• 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': 9984, 'analytic_conductor': 19.930660344511583, 'char_conductor': 104, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 2, 'char_parity': 1, 'char_values': [2496, 2, [703, 1093, 833, 769], [2, 1, 2, 1]], 'conrey_index': 2209, 'cusp_dim': 424, 'dim': 56, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 824667277760, 'hecke_orbit_dims': [8, 8, 16, 24], 'label': '2496.2.m', 'level': 2496, '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, 13], 'level_radical': 78, 'mf_dim': 472, 'mf_new_dim': 56, 'num_forms': 4, 'prim_orbit_index': 5, 'relative_dim': 56, 'sturm_bound': 896, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 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, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 24, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, -776, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, '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: 41296555
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.11', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41296556
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.4', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41296557
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.13', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41296558
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.6', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41296559
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 14, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.14', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 41296560
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.5', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 2}
  • id: 41296561
    {'conductor': 104, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.12', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '104.51', 'twisting_conrey_index': 51, 'weight': 2}
  • id: 41296562
    {'conductor': 104, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2209, 'source_dim': 16, 'source_embedding_index': 11, 'source_hecke_orbit_code': 9008023922018752, 'source_is_minimal': True, 'source_label': '2496.2.m.c.2209.11', 'source_level': 2496, 'target_conrey_index': 2209, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008023922018752, 'target_is_minimal': True, 'target_label': '2496.2.m.c.2209.3', 'target_level': 2496, 'twist_class_label': '2496.2.m.c.2209.3', 'twist_class_level': 2496, 'twisting_char_label': '104.77', 'twisting_conrey_index': 77, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2694250
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 9008023922018752, 'p': 2}
  • id: 2694251
    {'charpoly_factorization': [[[1, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 3}
  • id: 2694252
    {'charpoly_factorization': [[[4, 0, -10, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 5}
  • id: 2694253
    {'charpoly_factorization': [[[4, 0, 10, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 7}
  • id: 2694254
    {'charpoly_factorization': [[[-2, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 11}
  • id: 2694255
    {'charpoly_factorization': [[[169, 0, 2, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 13}
  • id: 2694256
    {'charpoly_factorization': [[[-20, 2, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 17}
  • id: 2694257
    {'charpoly_factorization': [[[36, 0, -30, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 19}
  • id: 2694258
    {'charpoly_factorization': [[[-12, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 23}
  • id: 2694259
    {'charpoly_factorization': [[[16, 0, 20, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 29}
  • id: 2694260
    {'charpoly_factorization': [[[324, 0, 90, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 31}
  • id: 2694261
    {'charpoly_factorization': [[[-24, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 37}
  • id: 2694262
    {'charpoly_factorization': [[[5476, 0, 190, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 41}
  • id: 2694263
    {'charpoly_factorization': [[[400, 0, 44, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 43}
  • id: 2694264
    {'charpoly_factorization': [[[14, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 47}
  • id: 2694265
    {'charpoly_factorization': [[[112, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 53}
  • id: 2694266
    {'charpoly_factorization': [[[1156, 0, -100, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 59}
  • id: 2694267
    {'charpoly_factorization': [[[16, 0, 20, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 61}
  • id: 2694268
    {'charpoly_factorization': [[[4900, 0, -238, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 67}
  • id: 2694269
    {'charpoly_factorization': [[[6, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 71}
  • id: 2694270
    {'charpoly_factorization': [[[32, 0, 1], 8]], 'hecke_orbit_code': 9008023922018752, 'p': 73}
  • id: 2694271
    {'charpoly_factorization': [[[10000, 0, -248, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 79}
  • id: 2694272
    {'charpoly_factorization': [[[27556, 0, -340, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 83}
  • id: 2694273
    {'charpoly_factorization': [[[17956, 0, 310, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, 'p': 89}
  • id: 2694274
    {'charpoly_factorization': [[[1600, 0, 88, 0, 1], 4]], 'hecke_orbit_code': 9008023922018752, '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': 13, 'hecke_orbit': 3, 'label': '2496.2.m.c', 'level': 2496, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31545895
    {'hecke_orbit_code': 9008023922018752, 'n': 1, 'trace_an': 16}
  • id: 31545896
    {'hecke_orbit_code': 9008023922018752, 'n': 2, 'trace_an': 0}
  • id: 31545897
    {'hecke_orbit_code': 9008023922018752, 'n': 3, 'trace_an': 0}
  • id: 31545898
    {'hecke_orbit_code': 9008023922018752, 'n': 4, 'trace_an': 0}
  • id: 31545899
    {'hecke_orbit_code': 9008023922018752, 'n': 5, 'trace_an': 0}
  • id: 31545900
    {'hecke_orbit_code': 9008023922018752, 'n': 6, 'trace_an': 0}
  • id: 31545901
    {'hecke_orbit_code': 9008023922018752, 'n': 7, 'trace_an': 0}
  • id: 31545902
    {'hecke_orbit_code': 9008023922018752, 'n': 8, 'trace_an': 0}
  • id: 31545903
    {'hecke_orbit_code': 9008023922018752, 'n': 9, 'trace_an': -16}
  • id: 31545904
    {'hecke_orbit_code': 9008023922018752, 'n': 10, 'trace_an': 0}
  • id: 31545905
    {'hecke_orbit_code': 9008023922018752, 'n': 11, 'trace_an': 0}
  • id: 31545906
    {'hecke_orbit_code': 9008023922018752, 'n': 12, 'trace_an': 0}
  • id: 31545907
    {'hecke_orbit_code': 9008023922018752, 'n': 13, 'trace_an': 0}
  • id: 31545908
    {'hecke_orbit_code': 9008023922018752, 'n': 14, 'trace_an': 0}
  • id: 31545909
    {'hecke_orbit_code': 9008023922018752, 'n': 15, 'trace_an': 0}
  • id: 31545910
    {'hecke_orbit_code': 9008023922018752, 'n': 16, 'trace_an': 0}
  • id: 31545911
    {'hecke_orbit_code': 9008023922018752, 'n': 17, 'trace_an': -16}
  • id: 31545912
    {'hecke_orbit_code': 9008023922018752, 'n': 18, 'trace_an': 0}
  • id: 31545913
    {'hecke_orbit_code': 9008023922018752, 'n': 19, 'trace_an': 0}
  • id: 31545914
    {'hecke_orbit_code': 9008023922018752, 'n': 20, 'trace_an': 0}
  • id: 31545915
    {'hecke_orbit_code': 9008023922018752, 'n': 21, 'trace_an': 0}
  • id: 31545916
    {'hecke_orbit_code': 9008023922018752, 'n': 22, 'trace_an': 0}
  • id: 31545917
    {'hecke_orbit_code': 9008023922018752, 'n': 23, 'trace_an': 0}
  • id: 31545918
    {'hecke_orbit_code': 9008023922018752, 'n': 24, 'trace_an': 0}
  • id: 31545919
    {'hecke_orbit_code': 9008023922018752, 'n': 25, 'trace_an': 0}
  • id: 31545920
    {'hecke_orbit_code': 9008023922018752, 'n': 26, 'trace_an': 0}
  • id: 31545921
    {'hecke_orbit_code': 9008023922018752, 'n': 27, 'trace_an': 0}
  • id: 31545922
    {'hecke_orbit_code': 9008023922018752, 'n': 28, 'trace_an': 0}
  • id: 31545923
    {'hecke_orbit_code': 9008023922018752, 'n': 29, 'trace_an': 0}
  • id: 31545924
    {'hecke_orbit_code': 9008023922018752, 'n': 30, 'trace_an': 0}
  • id: 31545925
    {'hecke_orbit_code': 9008023922018752, 'n': 31, 'trace_an': 0}
  • id: 31545926
    {'hecke_orbit_code': 9008023922018752, 'n': 32, 'trace_an': 0}
  • id: 31545927
    {'hecke_orbit_code': 9008023922018752, 'n': 33, 'trace_an': 0}
  • id: 31545928
    {'hecke_orbit_code': 9008023922018752, 'n': 34, 'trace_an': 0}
  • id: 31545929
    {'hecke_orbit_code': 9008023922018752, 'n': 35, 'trace_an': 0}
  • id: 31545930
    {'hecke_orbit_code': 9008023922018752, 'n': 36, 'trace_an': 0}
  • id: 31545931
    {'hecke_orbit_code': 9008023922018752, 'n': 37, 'trace_an': 0}
  • id: 31545932
    {'hecke_orbit_code': 9008023922018752, 'n': 38, 'trace_an': 0}
  • id: 31545933
    {'hecke_orbit_code': 9008023922018752, 'n': 39, 'trace_an': 0}
  • id: 31545934
    {'hecke_orbit_code': 9008023922018752, 'n': 40, 'trace_an': 0}
  • id: 31545935
    {'hecke_orbit_code': 9008023922018752, 'n': 41, 'trace_an': 0}
  • id: 31545936
    {'hecke_orbit_code': 9008023922018752, 'n': 42, 'trace_an': 0}
  • id: 31545937
    {'hecke_orbit_code': 9008023922018752, 'n': 43, 'trace_an': 0}
  • id: 31545938
    {'hecke_orbit_code': 9008023922018752, 'n': 44, 'trace_an': 0}
  • id: 31545939
    {'hecke_orbit_code': 9008023922018752, 'n': 45, 'trace_an': 0}
  • id: 31545940
    {'hecke_orbit_code': 9008023922018752, 'n': 46, 'trace_an': 0}
  • id: 31545941
    {'hecke_orbit_code': 9008023922018752, 'n': 47, 'trace_an': 0}
  • id: 31545942
    {'hecke_orbit_code': 9008023922018752, 'n': 48, 'trace_an': 0}
  • id: 31545943
    {'hecke_orbit_code': 9008023922018752, 'n': 49, 'trace_an': 32}
  • id: 31545944
    {'hecke_orbit_code': 9008023922018752, 'n': 50, 'trace_an': 0}
  • id: 31545945
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  • id: 31545946
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  • id: 31545949
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  • id: 31545950
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  • id: 31545951
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  • id: 31545952
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  • id: 31545953
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  • id: 31545954
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  • id: 31545955
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  • id: 31545956
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  • id: 31545957
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  • id: 31545959
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  • id: 31545960
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  • id: 31545961
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  • id: 31545962
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  • id: 31545963
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  • id: 31545966
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  • id: 31545968
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  • id: 31545969
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  • id: 31545970
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  • id: 31545971
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  • id: 31545972
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  • id: 31545973
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  • id: 31545982
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  • id: 31545992
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  • id: 31546000
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  • id: 31546001
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  • id: 31546016
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  • id: 31546017
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  • id: 31546018
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  • id: 31546020
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  • id: 31546021
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  • id: 31546022
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  • id: 31546023
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  • id: 31546024
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  • id: 31546025
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  • id: 31546026
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  • id: 31546027
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  • id: 31546028
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  • id: 31546029
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  • id: 31546030
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  • id: 31546031
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  • id: 31546032
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  • id: 31546033
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  • id: 31546038
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  • id: 31546039
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  • id: 31546040
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  • id: 31546041
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  • id: 31546042
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  • id: 31546043
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  • id: 31546044
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  • id: 31546045
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  • id: 31546046
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  • id: 31546048
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  • id: 31546049
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  • id: 31546050
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  • id: 31546051
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  • id: 31546052
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  • id: 31546053
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  • id: 31546054
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  • id: 31546055
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  • id: 31546056
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  • id: 31546057
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  • id: 31546058
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  • id: 31546059
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  • id: 31546060
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  • id: 31546061
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  • id: 31546062
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  • id: 31546063
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  • id: 31546064
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  • id: 31546065
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  • id: 31546066
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  • id: 31546067
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  • id: 31546068
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  • id: 31546070
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  • id: 31546071
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  • id: 31546079
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  • id: 31546080
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  • id: 31546081
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  • id: 31546084
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  • id: 31546086
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  • id: 31546088
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  • id: 31546089
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  • id: 31546091
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  • id: 31546092
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  • id: 31546093
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  • id: 31546094
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  • id: 31546095
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  • id: 31546096
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  • id: 31546097
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  • id: 31546098
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  • id: 31546099
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  • id: 31546112
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    {'hecke_orbit_code': 9008023922018752, 'n': 977, 'trace_an': 0}
  • id: 31546150
    {'hecke_orbit_code': 9008023922018752, 'n': 983, 'trace_an': 0}
  • id: 31546151
    {'hecke_orbit_code': 9008023922018752, 'n': 991, 'trace_an': 0}
  • id: 31546152
    {'hecke_orbit_code': 9008023922018752, 'n': 997, 'trace_an': 0}