Embedded newform data - 2160.4.h.a.431.4

Formats: - HTML - YAML - JSON - 2025-01-02T12:46:20.612414

• 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': 34560, 'analytic_conductor': 127.44412561239973, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [2160, 2, [271, 1621, 2081, 1297], [1, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 431, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [432, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 481103448176, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 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': '2160.4.h.a', 'level': 2160, '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], 'level_radical': 30, 'minimal_twist': '2160.4.h.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 2, 'qexp_display': 'q+5\\beta_1 q^{5}+4\\beta_{2} q^{7}+7\\beta_{3} q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2160.4.h', 'trace_display': [0, 0, 0, 0], 'trace_hash': 48253335154561484, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.058', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.705', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.649', 'prec': 17}, {'__RealLiteral__': 0, 'data': '119.244', 'prec': 24}, {'__RealLiteral__': 0, 'data': '121.171', 'prec': 24}, {'__RealLiteral__': 0, 'data': '4818.621', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -356, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25192, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, -1664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 61460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24524, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -75592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -39320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 69400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108532, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -123984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -101896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 58320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, -132776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -175824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 110440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -202608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -127160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 63504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 86372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -75876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -133568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 61776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37320, 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, -27972, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -243648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 182960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -532828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 63368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 99328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 115620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -265248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -58968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 127980, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 277344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -482328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 337824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47440, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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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0.08430846030807156, -0.34027895989850027, -0.4621565371379792, -0.26061538943406315, 0.012548639516583302, -0.42820615240808535], 'char_orbit_index': 8, 'conrey_index': 431, 'dual_conrey_index': 431, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.5, 'embedding_root_real': 0.8660254037844386, 'hecke_orbit': 1, 'hecke_orbit_code': 481103448176, 'label': '2160.4.h.a.431.4', 'level': 2160, 'weight': 4}
• 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

  
  {'Nk2': 34560, 'analytic_conductor': 127.44412561239973, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [2160, 2, [271, 1621, 2081, 1297], [1, 2, 1, 2]], 'conrey_index': 431, 'cusp_dim': 1260, 'dim': 96, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 481103448176, 'hecke_orbit_dims': [4, 4, 12, 12, 12, 16, 16, 20], 'label': '2160.4.h', 'level': 2160, '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], 'level_radical': 30, 'mf_dim': 1332, 'mf_new_dim': 96, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 96, 'sturm_bound': 1728, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -113640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 86544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -220464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -133920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 142296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -125280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -198696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 324504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -101376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -417288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 273168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 198552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 379440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -187200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 290880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -307248, 0, 0, 0], 'weight': 4, '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: 6075661
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 481103448176, 'source_is_minimal': True, 'source_label': '2160.4.h.a.431.4', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 481103448176, 'target_is_minimal': True, 'target_label': '2160.4.h.a.431.4', 'target_level': 2160, 'twist_class_label': '2160.4.h.a.431.1', 'twist_class_level': 2160, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 6075662
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 481103448176, 'source_is_minimal': True, 'source_label': '2160.4.h.a.431.4', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 481103448176, 'target_is_minimal': True, 'target_label': '2160.4.h.a.431.2', 'target_level': 2160, 'twist_class_label': '2160.4.h.a.431.1', 'twist_class_level': 2160, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 6075663
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 481103448176, 'source_is_minimal': True, 'source_label': '2160.4.h.a.431.4', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 481103448176, 'target_is_minimal': True, 'target_label': '2160.4.h.a.431.3', 'target_level': 2160, 'twist_class_label': '2160.4.h.a.431.1', 'twist_class_level': 2160, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 6075664
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 481103448176, 'source_is_minimal': True, 'source_label': '2160.4.h.a.431.4', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 481103448176, 'target_is_minimal': True, 'target_label': '2160.4.h.a.431.1', 'target_level': 2160, 'twist_class_label': '2160.4.h.a.431.1', 'twist_class_level': 2160, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2464525
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 481103448176, 'p': 2}
  • id: 2464526
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 481103448176, 'p': 3}
  • id: 2464527
    {'charpoly_factorization': [[[25, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 5}
  • id: 2464528
    {'charpoly_factorization': [[[432, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 7}
  • id: 2464529
    {'charpoly_factorization': [[[-1323, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 11}
  • id: 2464530
    {'charpoly_factorization': [[[47, 1], 4]], 'hecke_orbit_code': 481103448176, 'p': 13}
  • id: 2464531
    {'charpoly_factorization': [[[441, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 17}
  • id: 2464532
    {'charpoly_factorization': [[[3888, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 19}
  • id: 2464533
    {'charpoly_factorization': [[[-1323, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 23}
  • id: 2464534
    {'charpoly_factorization': [[[15129, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 29}
  • id: 2464535
    {'charpoly_factorization': [[[675, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 31}
  • id: 2464536
    {'charpoly_factorization': [[[178, 1], 4]], 'hecke_orbit_code': 481103448176, 'p': 37}
  • id: 2464537
    {'charpoly_factorization': [[[116964, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 41}
  • id: 2464538
    {'charpoly_factorization': [[[54675, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 43}
  • id: 2464539
    {'charpoly_factorization': [[[-93987, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 47}
  • id: 2464540
    {'charpoly_factorization': [[[171396, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 53}
  • id: 2464541
    {'charpoly_factorization': [[[-199692, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 59}
  • id: 2464542
    {'charpoly_factorization': [[[-542, 1], 4]], 'hecke_orbit_code': 481103448176, 'p': 61}
  • id: 2464543
    {'charpoly_factorization': [[[24300, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 67}
  • id: 2464544
    {'charpoly_factorization': [[[-726192, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 71}
  • id: 2464545
    {'charpoly_factorization': [[[-232, 1], 4]], 'hecke_orbit_code': 481103448176, 'p': 73}
  • id: 2464546
    {'charpoly_factorization': [[[121203, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 79}
  • id: 2464547
    {'charpoly_factorization': [[[-164268, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 83}
  • id: 2464548
    {'charpoly_factorization': [[[1838736, 0, 1], 2]], 'hecke_orbit_code': 481103448176, 'p': 89}
  • id: 2464549
    {'charpoly_factorization': [[[1046, 1], 4]], 'hecke_orbit_code': 481103448176, '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': 8, 'hecke_orbit': 1, 'label': '2160.4.h.a', 'level': 2160, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 9568512
    {'hecke_orbit_code': 481103448176, 'n': 1, 'trace_an': 4}
  • id: 9568513
    {'hecke_orbit_code': 481103448176, 'n': 2, 'trace_an': 0}
  • id: 9568514
    {'hecke_orbit_code': 481103448176, 'n': 3, 'trace_an': 0}
  • id: 9568515
    {'hecke_orbit_code': 481103448176, 'n': 4, 'trace_an': 0}
  • id: 9568516
    {'hecke_orbit_code': 481103448176, 'n': 5, 'trace_an': 0}
  • id: 9568517
    {'hecke_orbit_code': 481103448176, 'n': 6, 'trace_an': 0}
  • id: 9568518
    {'hecke_orbit_code': 481103448176, 'n': 7, 'trace_an': 0}
  • id: 9568519
    {'hecke_orbit_code': 481103448176, 'n': 8, 'trace_an': 0}
  • id: 9568520
    {'hecke_orbit_code': 481103448176, 'n': 9, 'trace_an': 0}
  • id: 9568521
    {'hecke_orbit_code': 481103448176, 'n': 10, 'trace_an': 0}
  • id: 9568522
    {'hecke_orbit_code': 481103448176, 'n': 11, 'trace_an': 0}
  • id: 9568523
    {'hecke_orbit_code': 481103448176, 'n': 12, 'trace_an': 0}
  • id: 9568524
    {'hecke_orbit_code': 481103448176, 'n': 13, 'trace_an': -188}
  • id: 9568525
    {'hecke_orbit_code': 481103448176, 'n': 14, 'trace_an': 0}
  • id: 9568526
    {'hecke_orbit_code': 481103448176, 'n': 15, 'trace_an': 0}
  • id: 9568527
    {'hecke_orbit_code': 481103448176, 'n': 16, 'trace_an': 0}
  • id: 9568528
    {'hecke_orbit_code': 481103448176, 'n': 17, 'trace_an': 0}
  • id: 9568529
    {'hecke_orbit_code': 481103448176, 'n': 18, 'trace_an': 0}
  • id: 9568530
    {'hecke_orbit_code': 481103448176, 'n': 19, 'trace_an': 0}
  • id: 9568531
    {'hecke_orbit_code': 481103448176, 'n': 20, 'trace_an': 0}
  • id: 9568532
    {'hecke_orbit_code': 481103448176, 'n': 21, 'trace_an': 0}
  • id: 9568533
    {'hecke_orbit_code': 481103448176, 'n': 22, 'trace_an': 0}
  • id: 9568534
    {'hecke_orbit_code': 481103448176, 'n': 23, 'trace_an': 0}
  • id: 9568535
    {'hecke_orbit_code': 481103448176, 'n': 24, 'trace_an': 0}
  • id: 9568536
    {'hecke_orbit_code': 481103448176, 'n': 25, 'trace_an': -100}
  • id: 9568537
    {'hecke_orbit_code': 481103448176, 'n': 26, 'trace_an': 0}
  • id: 9568538
    {'hecke_orbit_code': 481103448176, 'n': 27, 'trace_an': 0}
  • id: 9568539
    {'hecke_orbit_code': 481103448176, 'n': 28, 'trace_an': 0}
  • id: 9568540
    {'hecke_orbit_code': 481103448176, 'n': 29, 'trace_an': 0}
  • id: 9568541
    {'hecke_orbit_code': 481103448176, 'n': 30, 'trace_an': 0}
  • id: 9568542
    {'hecke_orbit_code': 481103448176, 'n': 31, 'trace_an': 0}
  • id: 9568543
    {'hecke_orbit_code': 481103448176, 'n': 32, 'trace_an': 0}
  • id: 9568544
    {'hecke_orbit_code': 481103448176, 'n': 33, 'trace_an': 0}
  • id: 9568545
    {'hecke_orbit_code': 481103448176, 'n': 34, 'trace_an': 0}
  • id: 9568546
    {'hecke_orbit_code': 481103448176, 'n': 35, 'trace_an': 0}
  • id: 9568547
    {'hecke_orbit_code': 481103448176, 'n': 36, 'trace_an': 0}
  • id: 9568548
    {'hecke_orbit_code': 481103448176, 'n': 37, 'trace_an': -712}
  • id: 9568549
    {'hecke_orbit_code': 481103448176, 'n': 38, 'trace_an': 0}
  • id: 9568550
    {'hecke_orbit_code': 481103448176, 'n': 39, 'trace_an': 0}
  • id: 9568551
    {'hecke_orbit_code': 481103448176, 'n': 40, 'trace_an': 0}
  • id: 9568552
    {'hecke_orbit_code': 481103448176, 'n': 41, 'trace_an': 0}
  • id: 9568553
    {'hecke_orbit_code': 481103448176, 'n': 42, 'trace_an': 0}
  • id: 9568554
    {'hecke_orbit_code': 481103448176, 'n': 43, 'trace_an': 0}
  • id: 9568555
    {'hecke_orbit_code': 481103448176, 'n': 44, 'trace_an': 0}
  • id: 9568556
    {'hecke_orbit_code': 481103448176, 'n': 45, 'trace_an': 0}
  • id: 9568557
    {'hecke_orbit_code': 481103448176, 'n': 46, 'trace_an': 0}
  • id: 9568558
    {'hecke_orbit_code': 481103448176, 'n': 47, 'trace_an': 0}
  • id: 9568559
    {'hecke_orbit_code': 481103448176, 'n': 48, 'trace_an': 0}
  • id: 9568560
    {'hecke_orbit_code': 481103448176, 'n': 49, 'trace_an': -356}
  • id: 9568561
    {'hecke_orbit_code': 481103448176, 'n': 50, 'trace_an': 0}
  • id: 9568562
    {'hecke_orbit_code': 481103448176, 'n': 51, 'trace_an': 0}
  • id: 9568563
    {'hecke_orbit_code': 481103448176, 'n': 52, 'trace_an': 0}
  • id: 9568564
    {'hecke_orbit_code': 481103448176, 'n': 53, 'trace_an': 0}
  • id: 9568565
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  • id: 9568566
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  • id: 9568567
    {'hecke_orbit_code': 481103448176, 'n': 56, 'trace_an': 0}
  • id: 9568568
    {'hecke_orbit_code': 481103448176, 'n': 57, 'trace_an': 0}
  • id: 9568569
    {'hecke_orbit_code': 481103448176, 'n': 58, 'trace_an': 0}
  • id: 9568570
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  • id: 9568571
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  • id: 9568572
    {'hecke_orbit_code': 481103448176, 'n': 61, 'trace_an': 2168}
  • id: 9568573
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  • id: 9568574
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  • id: 9568575
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  • id: 9568576
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  • id: 9568577
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  • id: 9568578
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  • id: 9568579
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  • id: 9568580
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  • id: 9568581
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  • id: 9568582
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  • id: 9568583
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  • id: 9568584
    {'hecke_orbit_code': 481103448176, 'n': 73, 'trace_an': 928}
  • id: 9568585
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  • id: 9568586
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  • id: 9568587
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  • id: 9568588
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  • id: 9568589
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  • id: 9568590
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  • id: 9568591
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  • id: 9568592
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  • id: 9568593
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  • id: 9568594
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  • id: 9568595
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  • id: 9568596
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  • id: 9568597
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  • id: 9568598
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  • id: 9568599
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  • id: 9568600
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  • id: 9568601
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  • id: 9568602
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  • id: 9568603
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  • id: 9568604
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  • id: 9568605
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  • id: 9568606
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  • id: 9568607
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  • id: 9568608
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  • id: 9568609
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  • id: 9568610
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  • id: 9568611
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  • id: 9568612
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  • id: 9568613
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  • id: 9568614
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  • id: 9568615
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  • id: 9568616
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  • id: 9568617
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  • id: 9568618
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  • id: 9568619
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  • id: 9568620
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  • id: 9568621
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  • id: 9568622
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  • id: 9568623
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  • id: 9568624
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  • id: 9568625
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  • id: 9568626
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  • id: 9568627
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  • id: 9568628
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  • id: 9568629
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  • id: 9568630
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  • id: 9568631
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  • id: 9568632
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  • id: 9568633
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  • id: 9568634
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  • id: 9568635
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  • id: 9568636
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  • id: 9568637
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  • id: 9568638
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  • id: 9568639
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  • id: 9568640
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  • id: 9568641
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  • id: 9568642
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  • id: 9568643
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  • id: 9568644
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  • id: 9568645
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  • id: 9568646
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  • id: 9568647
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  • id: 9568648
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  • id: 9568649
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  • id: 9568650
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  • id: 9568651
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  • id: 9568652
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  • id: 9568653
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  • id: 9568654
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  • id: 9568655
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  • id: 9568656
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  • id: 9568657
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  • id: 9568658
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  • id: 9568659
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  • id: 9568660
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  • id: 9568661
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  • id: 9568662
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  • id: 9568663
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  • id: 9568664
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  • id: 9568665
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  • id: 9568666
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  • id: 9568667
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  • id: 9568668
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  • id: 9568669
    {'hecke_orbit_code': 481103448176, 'n': 373, 'trace_an': -8596}
  • id: 9568670
    {'hecke_orbit_code': 481103448176, 'n': 379, 'trace_an': 0}
  • id: 9568671
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  • id: 9568672
    {'hecke_orbit_code': 481103448176, 'n': 389, 'trace_an': 0}
  • id: 9568673
    {'hecke_orbit_code': 481103448176, 'n': 397, 'trace_an': -31492}
  • id: 9568674
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  • id: 9568675
    {'hecke_orbit_code': 481103448176, 'n': 409, 'trace_an': 6076}
  • id: 9568676
    {'hecke_orbit_code': 481103448176, 'n': 419, 'trace_an': 0}
  • id: 9568677
    {'hecke_orbit_code': 481103448176, 'n': 421, 'trace_an': -8648}
  • id: 9568678
    {'hecke_orbit_code': 481103448176, 'n': 431, 'trace_an': 0}
  • id: 9568679
    {'hecke_orbit_code': 481103448176, 'n': 433, 'trace_an': -38296}
  • id: 9568680
    {'hecke_orbit_code': 481103448176, 'n': 439, 'trace_an': 0}
  • id: 9568681
    {'hecke_orbit_code': 481103448176, 'n': 443, 'trace_an': 0}
  • id: 9568682
    {'hecke_orbit_code': 481103448176, 'n': 449, 'trace_an': 0}
  • id: 9568683
    {'hecke_orbit_code': 481103448176, 'n': 457, 'trace_an': 4744}
  • id: 9568684
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  • id: 9568685
    {'hecke_orbit_code': 481103448176, 'n': 463, 'trace_an': 0}
  • id: 9568686
    {'hecke_orbit_code': 481103448176, 'n': 467, 'trace_an': 0}
  • id: 9568687
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  • id: 9568688
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  • id: 9568689
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  • id: 9568690
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  • id: 9568691
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  • id: 9568692
    {'hecke_orbit_code': 481103448176, 'n': 509, 'trace_an': 0}
  • id: 9568693
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  • id: 9568694
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  • id: 9568695
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  • id: 9568696
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  • id: 9568697
    {'hecke_orbit_code': 481103448176, 'n': 541, 'trace_an': -1664}
  • id: 9568698
    {'hecke_orbit_code': 481103448176, 'n': 547, 'trace_an': 0}
  • id: 9568699
    {'hecke_orbit_code': 481103448176, 'n': 557, 'trace_an': 0}
  • id: 9568700
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  • id: 9568701
    {'hecke_orbit_code': 481103448176, 'n': 569, 'trace_an': 0}
  • id: 9568702
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  • id: 9568703
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  • id: 9568704
    {'hecke_orbit_code': 481103448176, 'n': 587, 'trace_an': 0}
  • id: 9568705
    {'hecke_orbit_code': 481103448176, 'n': 593, 'trace_an': 0}
  • id: 9568706
    {'hecke_orbit_code': 481103448176, 'n': 599, 'trace_an': 0}
  • id: 9568707
    {'hecke_orbit_code': 481103448176, 'n': 601, 'trace_an': 61460}
  • id: 9568708
    {'hecke_orbit_code': 481103448176, 'n': 607, 'trace_an': 0}
  • id: 9568709
    {'hecke_orbit_code': 481103448176, 'n': 613, 'trace_an': 24524}
  • id: 9568710
    {'hecke_orbit_code': 481103448176, 'n': 617, 'trace_an': 0}
  • id: 9568711
    {'hecke_orbit_code': 481103448176, 'n': 619, 'trace_an': 0}
  • id: 9568712
    {'hecke_orbit_code': 481103448176, 'n': 625, 'trace_an': 2500}
  • id: 9568713
    {'hecke_orbit_code': 481103448176, 'n': 631, 'trace_an': 0}
  • id: 9568714
    {'hecke_orbit_code': 481103448176, 'n': 641, 'trace_an': 0}
  • id: 9568715
    {'hecke_orbit_code': 481103448176, 'n': 643, 'trace_an': 0}
  • id: 9568716
    {'hecke_orbit_code': 481103448176, 'n': 647, 'trace_an': 0}
  • id: 9568717
    {'hecke_orbit_code': 481103448176, 'n': 653, 'trace_an': 0}
  • id: 9568718
    {'hecke_orbit_code': 481103448176, 'n': 659, 'trace_an': 0}
  • id: 9568719
    {'hecke_orbit_code': 481103448176, 'n': 661, 'trace_an': -35992}
  • id: 9568720
    {'hecke_orbit_code': 481103448176, 'n': 673, 'trace_an': -75592}
  • id: 9568721
    {'hecke_orbit_code': 481103448176, 'n': 677, 'trace_an': 0}
  • id: 9568722
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  • id: 9568723
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  • id: 9568724
    {'hecke_orbit_code': 481103448176, 'n': 701, 'trace_an': 0}
  • id: 9568725
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  • id: 9568726
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  • id: 9568727
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  • id: 9568728
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  • id: 9568729
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  • id: 9568730
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  • id: 9568731
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  • id: 9568732
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  • id: 9568733
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  • id: 9568734
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  • id: 9568735
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  • id: 9568736
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  • id: 9568737
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  • id: 9568738
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  • id: 9568739
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  • id: 9568740
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  • id: 9568741
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  • id: 9568742
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  • id: 9568743
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  • id: 9568744
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  • id: 9568745
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  • id: 9568746
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  • id: 9568747
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  • id: 9568748
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  • id: 9568749
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  • id: 9568750
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  • id: 9568751
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  • id: 9568752
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  • id: 9568753
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  • id: 9568754
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  • id: 9568755
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  • id: 9568756
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  • id: 9568757
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  • id: 9568758
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  • id: 9568759
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  • id: 9568760
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  • id: 9568761
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  • id: 9568762
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  • id: 9568763
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  • id: 9568764
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  • id: 9568765
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  • id: 9568766
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  • id: 9568767
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  • id: 9568768
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  • id: 9568769
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