Embedded newform data - 2200.2.a.y.1.4

Formats: - HTML - YAML - JSON - 2025-04-13T13:58:26.557402

• 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': 8800, 'analytic_conductor': 17.567088444681684, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [11, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2200, 1, [551, 1101, 177, 1201], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 54764, 'field_disc_factorization': [[2, 2], [13691, 1]], 'field_poly': [2, 3, -9, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [2, 3, -9, -1, 1]], [7, [8, 12, -18, -1, 1]], [13, [-4, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090448536, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2200.2.a.y', 'level': 2200, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '440.2.b.d', 'nf_label': '4.4.54764.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}+\\beta _{3}q^{7}+(1+\\beta _{1}+\\beta _{2}+\\beta _{3})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2200.2.a', 'trace_display': [0, 1, 0, 1], 'trace_hash': 1257314322325608355, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.982', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '44.642', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '768.669', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, 'traces': [4, 0, 1, 0, 0, 0, 1, 0, 7, 0, 4, 0, 16, 0, 0, 0, 7, 0, -9, 0, -7, 0, 6, 0, 0, 0, 13, 0, 3, 0, -15, 0, 1, 0, 0, 0, 5, 0, 4, 0, 10, 0, 8, 0, 0, 0, -10, 0, 9, 0, -23, 0, 5, 0, 0, 0, -15, 0, 6, 0, 29, 0, 40, 0, 0, 0, 6, 0, -30, 0, -1, 0, 18, 0, 0, 0, 1, 0, -20, 0, 44, 0, 26, 0, 0, 0, 31, 0, 21, 0, 4, 0, 25, 0, 0, 0, -4, 0, 7, 0, -12, 0, 6, 0, 0, 0, 38, 0, 4, 0, -23, 0, 18, 0, 0, 0, 28, 0, -3, 0, 4, 0, 20, 0, 0, 0, -2, 0, 22, 0, -17, 0, 17, 0, 0, 0, 36, 0, -36, 0, -8, 0, 16, 0, 0, 0, -60, 0, -3, 0, -26, 0, 18, 0, 0, 0, 9, 0, 3, 0, 28, 0, -35, 0, 0, 0, 29, 0, 12, 0, -50, 0, 34, 0, 0, 0, 0, 0, 12, 0, -2, 0, -23, 0, 0, 0, 7, 0, -1, 0, -6, 0, 11, 0, 0, 0, -2, 0, -11, 0, 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-145, 0, 10, 0, 30, 0, 0, 0, 112, 0, -4, 0, 24, 0, 148, 0, 0, 0, -141, 0, -34, 0, -188, 0, 59, 0, 0, 0, -64, 0, 8, 0, 84, 0, 128, 0, 0, 0, 16, 0, 160, 0, -26, 0, 23, 0, 0, 0, -88, 0, 180, 0, 158, 0, 128, 0, 0, 0, -195, 0, -30, 0], 'weight': 2, '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

  
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-0.1080658083156288, -0.2312701085392043, -0.19847502313646642, -0.40514400161545316, -0.22329119119703664, -0.3255104051935049, -0.1701221067063568, -0.17690589241590404, -0.20594639841784176, -0.1924233769391057, -0.22572424583538891, -0.3466099344659177, -0.27224709367735883], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 3.360072662045368, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090448536, 'label': '2200.2.a.y.1.4', 'level': 2200, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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

  
  {'ALdims': [6, 6, 5, 7, 7, 4, 4, 8], 'Nk2': 8800, 'analytic_conductor': 17.567088444681684, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2200, 1, [551, 1101, 177, 1201], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 337, 'dim': 47, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13], 'hecke_orbit_code': 33556632, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '2200.2.a', 'level': 2200, '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, 5, 11], 'level_radical': 110, 'mf_dim': 384, 'mf_new_dim': 47, 'num_forms': 25, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 47, 'sturm_bound': 720, 'trace_bound': 11, 'trace_display': [0, -2, 0, -4], 'traces': [47, 0, -2, 0, 0, 0, -4, 0, 41, 0, 3, 0, -6, 0, 0, 0, 2, 0, -4, 0, 4, 0, -6, 0, 0, 0, -14, 0, 30, 0, -14, 0, 2, 0, 0, 0, 16, 0, 0, 0, 18, 0, -16, 0, 0, 0, 20, 0, 31, 0, -4, 0, 10, 0, 0, 0, 32, 0, 14, 0, 14, 0, 24, 0, 0, 0, -6, 0, 22, 0, -18, 0, -18, 0, 0, 0, 4, 0, -52, 0, 71, 0, -8, 0, 0, 0, 0, 0, 24, 0, -48, 0, -10, 0, 0, 0, -8, 0, 9, 0, -22, 0, 20, 0, 0, 0, 24, 0, -70, 0, -70, 0, 48, 0, 0, 0, 10, 0, 16, 0, 47, 0, 48, 0, 0, 0, 0, 0, 124, 0, 32, 0, -32, 0, 0, 0, 64, 0, -72, 0, 72, 0, 2, 0, 0, 0, -50, 0, -46, 0, -28, 0, 14, 0, 0, 0, -28, 0, 108, 0, 76, 0, -24, 0, 0, 0, -48, 0, 21, 0, -4, 0, 6, 0, 0, 0, -14, 0, 6, 0, -48, 0, 24, 0, 0, 0, -14, 0, 20, 0, 14, 0, 6, 0, 0, 0, 22, 0, -12, 0, -62, 0, 24, 0, 0, 0, -48, 0, -16, 0, -44, 0, -46, 0, 0, 0, -36, 0, -72, 0, -68, 0, -46, 0, 0, 0, -8, 0, 88, 0, -12, 0, -66, 0, 0, 0, -36, 0, -44, 0, 50, 0, 56, 0, 0, 0, -128, 0, -20, 0, 30, 0, -10, 0, 0, 0, 30, 0, -76, 0, 126, 0, -44, 0, 0, 0, 42, 0, -54, 0, -64, 0, 24, 0, 0, 0, 78, 0, -72, 0, 6, 0, -60, 0, 0, 0, 104, 0, 173, 0, -162, 0, -38, 0, 0, 0, 14, 0, 56, 0, -16, 0, -52, 0, 0, 0, -20, 0, -88, 0, -68, 0, -4, 0, 0, 0, 28, 0, 10, 0, 36, 0, 48, 0, 0, 0, 60, 0, 0, 0, -110, 0, 2, 0, 0, 0, -86, 0, -154, 0, -14, 0, -8, 0, 0, 0, 44, 0, 66, 0, 272, 0, 44, 0, 0, 0, 184, 0, 96, 0, 63, 0, -2, 0, 0, 0, 2, 0, 186, 0, 16, 0, 22, 0, 0, 0, -92, 0, 66, 0, 32, 0, 50, 0, 0, 0, -140, 0, -116, 0, 52, 0, 76, 0, 0, 0, 2, 0, -40, 0, -14, 0, 24, 0, 0, 0, -12, 0, -178, 0, -34, 0, 4, 0, 0, 0, 36, 0, -36, 0, -6, 0, 108, 0, 0, 0, 40, 0, -32, 0, 156, 0, -8, 0, 0, 0, -48, 0, 0, 0, -7, 0, -54, 0, 0, 0, 132, 0, 40, 0, 10, 0, -108, 0, 0, 0, -74, 0, -220, 0, -26, 0, -34, 0, 0, 0, -134, 0, -60, 0, -98, 0, 0, 0, 0, 0, 46, 0, -40, 0, 20, 0, 92, 0, 0, 0, 82, 0, -160, 0, 36, 0, 4, 0, 0, 0, 84, 0, 28, 0, -320, 0, 12, 0, 0, 0, -38, 0, -184, 0, -72, 0, 48, 0, 0, 0, 28, 0, 292, 0, -52, 0, -60, 0, 0, 0, -28, 0, 57, 0, -112, 0, -108, 0, 0, 0, -6, 0, 35, 0, -42, 0, 26, 0, 0, 0, 212, 0, -154, 0, 164, 0, 64, 0, 0, 0, -130, 0, -4, 0, 36, 0, 148, 0, 0, 0, 44, 0, 18, 0, -60, 0, -86, 0, 0, 0, 144, 0, -32, 0, -112, 0, 26, 0, 0, 0, -144, 0, -24, 0, -84, 0, 6, 0, 0, 0, -160, 0, 64, 0, -50, 0, -156, 0, 0, 0, -92, 0, 16, 0, -72, 0, 50, 0, 0, 0, -82, 0, -70, 0, -166, 0, -92, 0, 0, 0, -40, 0, -64, 0, 78, 0, 120, 0, 0, 0, -22, 0, 64, 0, 112, 0, -70, 0, 0, 0, -82, 0, -30, 0, 68, 0, -96, 0, 0, 0, -242, 0, 224, 0, -44, 0, -8, 0, 0, 0, 40, 0, -298, 0, 14, 0, 82, 0, 0, 0, -98, 0, -372, 0, -36, 0, 48, 0, 0, 0, -286, 0, 180, 0, -154, 0, -8, 0, 0, 0, 52, 0, 32, 0, 66, 0, -88, 0, 0, 0, 104, 0, -72, 0, -112, 0, -58, 0, 0, 0, 180, 0, 110, 0, -64, 0, -272, 0, 0, 0, 122, 0, 251, 0, 200, 0, 66, 0, 0, 0, 38, 0, -88, 0, -40, 0, 16, 0, 0, 0, 44, 0, 88, 0, -90, 0, -30, 0, 0, 0, -30, 0, -70, 0, 10, 0, -24, 0, 0, 0, 128, 0, 98, 0, 108, 0, 10, 0, 0, 0, -92, 0, -32, 0, 30, 0, -32, 0, 0, 0, 204, 0, 20, 0, 108, 0, 20, 0, 0, 0, 188, 0, -216, 0, 242, 0, -18, 0, 0, 0, -116, 0, 170, 0, 168, 0, -56, 0, 0, 0, -88, 0, 104, 0, 82, 0, 130, 0, 0, 0, -84, 0, -100, 0, 164, 0, 130, 0, 0, 0, -62, 0, -98, 0, 53, 0, -12, 0, 0, 0, -4, 0, -168, 0, 42, 0, 134, 0, 0, 0, -58, 0, 86, 0, -64, 0, 180, 0, 0, 0, 18, 0, -36, 0, -272, 0, 38, 0, 0, 0, -190, 0, 120, 0, 4, 0, 8, 0, 0, 0, 188, 0, 96, 0, -5, 0, -16, 0, 0, 0, -168, 0, -40, 0, -212, 0, -80, 0, 0, 0, -64, 0, 22, 0, -160, 0, -40, 0, 0, 0, 56, 0, -52, 0, -128, 0, 200, 0, 0, 0, 196, 0, -222, 0, -60, 0, -72, 0, 0, 0, 174, 0, 282, 0, -86, 0, -8, 0, 0, 0, -54, 0, -36, 0, -2, 0, 106, 0, 0, 0, 80, 0, 316, 0, 145, 0, 12, 0, 0, 0, 8, 0, 112, 0, 218, 0, -104, 0, 0, 0, 80, 0, 40, 0, -266, 0, 42, 0, 0, 0, 400, 0, 4, 0, 40, 0, -10, 0, 0, 0, -106, 0, -18, 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: 48523469
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086391090448536, 'target_is_minimal': False, 'target_label': '2200.2.a.y.1.4', 'target_level': 2200, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48523470
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 238690780284195120, 'target_is_minimal': False, 'target_label': '4400.2.a.cb.1.1', 'target_level': 4400, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48523471
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 89, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867635143096, 'target_is_minimal': True, 'target_label': '440.2.b.d.89.1', 'target_level': 440, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48523472
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 89, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 13510867635143096, 'target_is_minimal': True, 'target_label': '440.2.b.d.89.8', 'target_level': 440, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48523473
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103582791463078040, 'target_is_minimal': False, 'target_label': '2200.2.a.x.1.1', 'target_level': 2200, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48523474
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 3169, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 22518204328841080, 'target_is_minimal': False, 'target_label': '3960.2.d.f.3169.6', 'target_level': 3960, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48523475
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 3169, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 22518204328841080, 'target_is_minimal': False, 'target_label': '3960.2.d.f.3169.5', 'target_level': 3960, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 48523476
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 529, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532465399366512, 'target_is_minimal': False, 'target_label': '880.2.b.j.529.1', 'target_level': 880, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48523477
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 529, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 40532465399366512, 'target_is_minimal': False, 'target_label': '880.2.b.j.529.8', 'target_level': 880, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48523478
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090448536, 'source_is_minimal': False, 'source_label': '2200.2.a.y.1.4', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 252201579166306608, 'target_is_minimal': False, 'target_label': '4400.2.a.ce.1.4', 'target_level': 4400, 'twist_class_label': '440.2.b.d.89.1', 'twist_class_level': 440, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2492725
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090448536, 'p': 2}
  • id: 2492726
    {'charpoly_factorization': [[[2, 3, -9, -1, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 3}
  • id: 2492727
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090448536, 'p': 5}
  • id: 2492728
    {'charpoly_factorization': [[[8, 12, -18, -1, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 7}
  • id: 2492729
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 108086391090448536, 'p': 11}
  • id: 2492730
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 108086391090448536, 'p': 13}
  • id: 2492731
    {'charpoly_factorization': [[[32, 292, -44, -7, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 17}
  • id: 2492732
    {'charpoly_factorization': [[[-128, -256, -20, 9, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 19}
  • id: 2492733
    {'charpoly_factorization': [[[856, 218, -59, -6, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 23}
  • id: 2492734
    {'charpoly_factorization': [[[32, 0, -38, -3, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 29}
  • id: 2492735
    {'charpoly_factorization': [[[16, -83, 43, 15, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 31}
  • id: 2492736
    {'charpoly_factorization': [[[-148, 191, -55, -5, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 37}
  • id: 2492737
    {'charpoly_factorization': [[[-1024, 576, -48, -10, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 41}
  • id: 2492738
    {'charpoly_factorization': [[[1136, 224, -64, -8, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 43}
  • id: 2492739
    {'charpoly_factorization': [[[-640, -312, -12, 10, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 47}
  • id: 2492740
    {'charpoly_factorization': [[[1280, 128, -76, -5, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 53}
  • id: 2492741
    {'charpoly_factorization': [[[-32, -76, -47, -6, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 59}
  • id: 2492742
    {'charpoly_factorization': [[[160, -864, 274, -29, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 61}
  • id: 2492743
    {'charpoly_factorization': [[[568, 298, -83, -6, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 67}
  • id: 2492744
    {'charpoly_factorization': [[[-1336, -865, -137, 1, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 71}
  • id: 2492745
    {'charpoly_factorization': [[[-1024, 320, 48, -18, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 73}
  • id: 2492746
    {'charpoly_factorization': [[[-19456, -3872, -92, 20, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 79}
  • id: 2492747
    {'charpoly_factorization': [[[-6176, 1720, 76, -26, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 83}
  • id: 2492748
    {'charpoly_factorization': [[[-346, -75, 121, -21, 1], 1]], 'hecke_orbit_code': 108086391090448536, 'p': 89}
  • id: 2492749
    {'charpoly_factorization': [[[512, -780, -147, 4, 1], 1]], 'hecke_orbit_code': 108086391090448536, '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': 1, 'hecke_orbit': 25, 'label': '2200.2.a.y', 'level': 2200, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66303655
    {'hecke_orbit_code': 108086391090448536, 'n': 1, 'trace_an': 4}
  • id: 66303656
    {'hecke_orbit_code': 108086391090448536, 'n': 2, 'trace_an': 0}
  • id: 66303657
    {'hecke_orbit_code': 108086391090448536, 'n': 3, 'trace_an': 1}
  • id: 66303658
    {'hecke_orbit_code': 108086391090448536, 'n': 4, 'trace_an': 0}
  • id: 66303659
    {'hecke_orbit_code': 108086391090448536, 'n': 5, 'trace_an': 0}
  • id: 66303660
    {'hecke_orbit_code': 108086391090448536, 'n': 6, 'trace_an': 0}
  • id: 66303661
    {'hecke_orbit_code': 108086391090448536, 'n': 7, 'trace_an': 1}
  • id: 66303662
    {'hecke_orbit_code': 108086391090448536, 'n': 8, 'trace_an': 0}
  • id: 66303663
    {'hecke_orbit_code': 108086391090448536, 'n': 9, 'trace_an': 7}
  • id: 66303664
    {'hecke_orbit_code': 108086391090448536, 'n': 10, 'trace_an': 0}
  • id: 66303665
    {'hecke_orbit_code': 108086391090448536, 'n': 11, 'trace_an': 4}
  • id: 66303666
    {'hecke_orbit_code': 108086391090448536, 'n': 12, 'trace_an': 0}
  • id: 66303667
    {'hecke_orbit_code': 108086391090448536, 'n': 13, 'trace_an': 16}
  • id: 66303668
    {'hecke_orbit_code': 108086391090448536, 'n': 14, 'trace_an': 0}
  • id: 66303669
    {'hecke_orbit_code': 108086391090448536, 'n': 15, 'trace_an': 0}
  • id: 66303670
    {'hecke_orbit_code': 108086391090448536, 'n': 16, 'trace_an': 0}
  • id: 66303671
    {'hecke_orbit_code': 108086391090448536, 'n': 17, 'trace_an': 7}
  • id: 66303672
    {'hecke_orbit_code': 108086391090448536, 'n': 18, 'trace_an': 0}
  • id: 66303673
    {'hecke_orbit_code': 108086391090448536, 'n': 19, 'trace_an': -9}
  • id: 66303674
    {'hecke_orbit_code': 108086391090448536, 'n': 20, 'trace_an': 0}
  • id: 66303675
    {'hecke_orbit_code': 108086391090448536, 'n': 21, 'trace_an': -7}
  • id: 66303676
    {'hecke_orbit_code': 108086391090448536, 'n': 22, 'trace_an': 0}
  • id: 66303677
    {'hecke_orbit_code': 108086391090448536, 'n': 23, 'trace_an': 6}
  • id: 66303678
    {'hecke_orbit_code': 108086391090448536, 'n': 24, 'trace_an': 0}
  • id: 66303679
    {'hecke_orbit_code': 108086391090448536, 'n': 25, 'trace_an': 0}
  • id: 66303680
    {'hecke_orbit_code': 108086391090448536, 'n': 26, 'trace_an': 0}
  • id: 66303681
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  • id: 66303682
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  • id: 66303683
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  • id: 66303684
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  • id: 66303685
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  • id: 66303686
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  • id: 66303687
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  • id: 66303688
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  • id: 66303689
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  • id: 66303690
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  • id: 66303691
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  • id: 66303692
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  • id: 66303693
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  • id: 66303694
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  • id: 66303695
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  • id: 66303696
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  • id: 66303697
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  • id: 66303698
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  • id: 66303699
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  • id: 66303700
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  • id: 66303701
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  • id: 66303702
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  • id: 66303703
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  • id: 66303704
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  • id: 66303705
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  • id: 66303706
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  • id: 66303707
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  • id: 66303708
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  • id: 66303711
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  • id: 66303712
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  • id: 66303713
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  • id: 66303714
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  • id: 66303715
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  • id: 66303717
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  • id: 66303721
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  • id: 66303722
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  • id: 66303723
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  • id: 66303724
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  • id: 66303725
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  • id: 66303726
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  • id: 66303727
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  • id: 66303728
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  • id: 66303729
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  • id: 66303730
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  • id: 66303731
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  • id: 66303733
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  • id: 66303737
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  • id: 66303738
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  • id: 66303739
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  • id: 66303741
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  • id: 66303742
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  • id: 66303743
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  • id: 66303744
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  • id: 66303745
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  • id: 66303746
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  • id: 66303747
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  • id: 66303748
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  • id: 66303751
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  • id: 66303752
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  • id: 66303753
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  • id: 66303755
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  • id: 66303759
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  • id: 66303760
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  • id: 66303763
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  • id: 66303764
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  • id: 66303765
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  • id: 66303766
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  • id: 66303767
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  • id: 66303768
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  • id: 66303769
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  • id: 66303770
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  • id: 66303771
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  • id: 66303772
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  • id: 66303773
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  • id: 66303774
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  • id: 66303775
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  • id: 66303776
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  • id: 66303777
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  • id: 66303778
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  • id: 66303779
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  • id: 66303780
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  • id: 66303781
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  • id: 66303782
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  • id: 66303783
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  • id: 66303784
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  • id: 66303785
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  • id: 66303786
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  • id: 66303788
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  • id: 66303789
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  • id: 66303790
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  • id: 66303791
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  • id: 66303792
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  • id: 66303793
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  • id: 66303794
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  • id: 66303796
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  • id: 66303798
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  • id: 66303810
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  • id: 66303811
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  • id: 66303812
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  • id: 66303813
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  • id: 66303814
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  • id: 66303815
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  • id: 66303816
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  • id: 66303817
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  • id: 66303818
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  • id: 66303819
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  • id: 66303820
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  • id: 66303821
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  • id: 66303822
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  • id: 66303823
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  • id: 66303824
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  • id: 66303825
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  • id: 66303826
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  • id: 66303827
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  • id: 66303828
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  • id: 66303829
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  • id: 66303830
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  • id: 66303831
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  • id: 66303832
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  • id: 66303833
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  • id: 66303834
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  • id: 66303835
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  • id: 66303836
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  • id: 66303837
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  • id: 66303838
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  • id: 66303839
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  • id: 66303840
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  • id: 66303841
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  • id: 66303842
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  • id: 66303843
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  • id: 66303844
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  • id: 66303845
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  • id: 66303846
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  • id: 66303847
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  • id: 66303848
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  • id: 66303849
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  • id: 66303850
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  • id: 66303851
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  • id: 66303853
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  • id: 66303854
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  • id: 66303856
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  • id: 66303858
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  • id: 66303859
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  • id: 66303860
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  • id: 66303861
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  • id: 66303863
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  • id: 66303864
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  • id: 66303865
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  • id: 66303866
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  • id: 66303867
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  • id: 66303868
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  • id: 66303869
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  • id: 66303870
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  • id: 66303871
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  • id: 66303872
    {'hecke_orbit_code': 108086391090448536, 'n': 733, 'trace_an': -22}
  • id: 66303873
    {'hecke_orbit_code': 108086391090448536, 'n': 739, 'trace_an': -64}
  • id: 66303874
    {'hecke_orbit_code': 108086391090448536, 'n': 743, 'trace_an': 17}
  • id: 66303875
    {'hecke_orbit_code': 108086391090448536, 'n': 751, 'trace_an': -3}
  • id: 66303876
    {'hecke_orbit_code': 108086391090448536, 'n': 757, 'trace_an': 46}
  • id: 66303877
    {'hecke_orbit_code': 108086391090448536, 'n': 761, 'trace_an': -42}
  • id: 66303878
    {'hecke_orbit_code': 108086391090448536, 'n': 769, 'trace_an': 84}
  • id: 66303879
    {'hecke_orbit_code': 108086391090448536, 'n': 773, 'trace_an': -23}
  • id: 66303880
    {'hecke_orbit_code': 108086391090448536, 'n': 787, 'trace_an': 80}
  • id: 66303881
    {'hecke_orbit_code': 108086391090448536, 'n': 797, 'trace_an': 22}
  • id: 66303882
    {'hecke_orbit_code': 108086391090448536, 'n': 809, 'trace_an': 64}
  • id: 66303883
    {'hecke_orbit_code': 108086391090448536, 'n': 811, 'trace_an': -11}
  • id: 66303884
    {'hecke_orbit_code': 108086391090448536, 'n': 821, 'trace_an': -16}
  • id: 66303885
    {'hecke_orbit_code': 108086391090448536, 'n': 823, 'trace_an': -80}
  • id: 66303886
    {'hecke_orbit_code': 108086391090448536, 'n': 827, 'trace_an': 4}
  • id: 66303887
    {'hecke_orbit_code': 108086391090448536, 'n': 829, 'trace_an': -8}
  • id: 66303888
    {'hecke_orbit_code': 108086391090448536, 'n': 839, 'trace_an': -50}
  • id: 66303889
    {'hecke_orbit_code': 108086391090448536, 'n': 841, 'trace_an': -31}
  • id: 66303890
    {'hecke_orbit_code': 108086391090448536, 'n': 853, 'trace_an': 16}
  • id: 66303891
    {'hecke_orbit_code': 108086391090448536, 'n': 857, 'trace_an': 107}
  • id: 66303892
    {'hecke_orbit_code': 108086391090448536, 'n': 859, 'trace_an': -40}
  • id: 66303893
    {'hecke_orbit_code': 108086391090448536, 'n': 863, 'trace_an': -10}
  • id: 66303894
    {'hecke_orbit_code': 108086391090448536, 'n': 877, 'trace_an': 18}
  • id: 66303895
    {'hecke_orbit_code': 108086391090448536, 'n': 881, 'trace_an': -46}
  • id: 66303896
    {'hecke_orbit_code': 108086391090448536, 'n': 883, 'trace_an': 51}
  • id: 66303897
    {'hecke_orbit_code': 108086391090448536, 'n': 887, 'trace_an': 54}
  • id: 66303898
    {'hecke_orbit_code': 108086391090448536, 'n': 907, 'trace_an': -19}
  • id: 66303899
    {'hecke_orbit_code': 108086391090448536, 'n': 911, 'trace_an': -39}
  • id: 66303900
    {'hecke_orbit_code': 108086391090448536, 'n': 919, 'trace_an': 22}
  • id: 66303901
    {'hecke_orbit_code': 108086391090448536, 'n': 929, 'trace_an': -31}
  • id: 66303902
    {'hecke_orbit_code': 108086391090448536, 'n': 937, 'trace_an': 46}
  • id: 66303903
    {'hecke_orbit_code': 108086391090448536, 'n': 941, 'trace_an': 39}
  • id: 66303904
    {'hecke_orbit_code': 108086391090448536, 'n': 947, 'trace_an': 91}
  • id: 66303905
    {'hecke_orbit_code': 108086391090448536, 'n': 953, 'trace_an': 33}
  • id: 66303906
    {'hecke_orbit_code': 108086391090448536, 'n': 961, 'trace_an': 15}
  • id: 66303907
    {'hecke_orbit_code': 108086391090448536, 'n': 967, 'trace_an': -53}
  • id: 66303908
    {'hecke_orbit_code': 108086391090448536, 'n': 971, 'trace_an': 46}
  • id: 66303909
    {'hecke_orbit_code': 108086391090448536, 'n': 977, 'trace_an': 4}
  • id: 66303910
    {'hecke_orbit_code': 108086391090448536, 'n': 983, 'trace_an': -16}
  • id: 66303911
    {'hecke_orbit_code': 108086391090448536, 'n': 991, 'trace_an': 0}
  • id: 66303912
    {'hecke_orbit_code': 108086391090448536, 'n': 997, 'trace_an': -46}