Newform data - 192.3.e.f

Formats: - HTML - YAML - JSON - 2025-06-16T00:29:37.810721

• 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': 1728, 'analytic_conductor': 5.2316210757177, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': -1, 'char_values': [192, 2, [127, 133, 65], [2, 2, 1]], 'cm_discs': [], 'conrey_index': 65, 'dim': 4, 'field_disc': 12544, 'field_disc_factorization': [[2, 8], [7, 2]], 'field_poly': [9, 0, 8, 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, [56, 0, 1]], [7, [-28, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22518273065091264, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], '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': False, 'label': '192.3.e.f', 'level': 192, '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], 'level_radical': 6, 'minimal_twist': '96.3.e.b', 'nf_label': '4.0.12544.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(\\beta _{1}+\\beta _{3})q^{3}+\\beta _{2}q^{5}+(\\beta _{1}+2\\beta _{3})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '192.3.e', 'trace_display': [0, 0, 0, 0], 'trace_hash': 560677406345751361, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.664', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.149', 'prec': 17}, {'__RealLiteral__': 0, 'data': '107.074', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3960.572', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, -316, 0, 0, 0, 0, 0, 0, 0, -616, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 1120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -680, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, 1048, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 840, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, -620, 0, 0, 0, 1432, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 960, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, -1120, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, -1960, 0, 0, 0, 0, 0, 0, 0, 1120, 0, 0, 0, 1156, 0, 0, 0, 0, 0, 0, 0, 1520, 0, 0, 0, -1232, 0, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, -920, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 1240, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, 1344, 0, 0, 0, -1192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1356, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, -1640, 0, 0, 0, 0, 0, 0, 0, 1624, 0, 0, 0, -2240, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 920, 0, 0, 0, 0, 0, 0, 0, 2240, 0, 0, 0, -2360, 0, 0, 0, 0, 0, 0, 0, 1400, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, -800, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -420, 0, 0, 0, -2240, 0, 0, 0, 0, 0, 0, 0, -840, 0, 0, 0, -1720, 0, 0, 0, 0, 0, 0, 0, 1120, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 1120, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, -1064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1376, 0, 0, 0, 3360, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, -1736, 0, 0, 0, 964, 0, 0, 0, 0, 0, 0, 0, 1200, 0, 0, 0, 2072, 0, 0, 0, 0, 0, 0, 0, -1800, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4480, 0, 0, 0, 0, 0, 0, 0, -1920, 0, 0, 0, -1560, 0, 0, 0, 0, 0, 0, 0, -2240, 0, 0, 0, 2800, 0, 0, 0, 0, 0, 0, 0, 3640, 0, 0, 0, 520, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, 2520, 0, 0, 0, 0, 0, 0, 0, -1824, 0, 0, 0, -1756, 0, 0, 0, 0, 0, 0, 0, -3080, 0, 0, 0, 840, 0, 0, 0, 0, 0, 0, 0, -2464, 0, 0, 0, 5600, 0, 0, 0, 0, 0, 0, 0, -600, 0, 0, 0, -680, 0, 0, 0, 0, 0, 0, 0, -3304, 0, 0, 0, -1240, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 6720, 0, 0, 0, 0, 0, 0, 0, 2240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 728, 0, 0, 0, 0, 0, 0, 0, 960, 0, 0, 0, 1008, 0, 0, 0, 0, 0, 0, 0, -2860, 0, 0, 0, -2600, 0, 0, 0, 0, 0, 0, 0, -2800, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 1680, 0, 0, 0, -4200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4552, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, 1600, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 3600, 0, 0, 0, 0, 0, 0, 0, 2240, 0, 0, 0, 2688, 0, 0, 0, 0, 0, 0, 0, -4200, 0, 0, 0, -6160, 0, 0, 0, 0, 0, 0, 0, -2480, 0, 0, 0, -680, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, -2236, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -2280, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, -3360, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, -1960, 0, 0, 0, 0, 0, 0, 0, 7840, 0, 0, 0, 3248, 0, 0, 0, 0, 0, 0, 0, 960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3360, 0, 0, 0, 1440, 0, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, 1240, 0, 0, 0, 0, 0, 0, 0, 1440, 0, 0, 0, -5080, 0, 0, 0, 0, 0, 0, 0, 4256, 0, 0, 0, 1200, 0, 0, 0, 0, 0, 0, 0, 5600, 0, 0, 0, -1044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2800, 0, 0, 0, 0, 0, 0, 0, 1400, 0, 0, 0, -5600, 0, 0, 0, 0, 0, 0, 0, 1400, 0, 0, 0, -3240, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 0], [0, 1, 0, 2], [0, 0, 0, 0], [5, 0, -1, 0], [0, 0, 0, 0], [0, -5, 0, 0], [0, 0, 0, 0], [-10, 0, 0, 0], [0, 0, 0, 0], [0, -5, 0, 4], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 5, 0, 10], [0, 0, 0, 0], [14, 0, -1, 0], [0, 0, 0, 0], [0, 6, 0, 0], [0, 0, 0, 0], [-31, 0, 0, 0], [0, 0, 0, 0], [0, 10, 0, 1], [0, 0, 0, 0], [0, 0, -5, 0], [0, 0, 0, 0], [0, 5, 0, 10], [0, 0, 0, 0], [20, 0, 5, 0], [0, 0, 0, 0], [0, -14, 0, 0], [0, 0, 0, 0], [-10, 0, 0, 0], [0, 0, 0, 0], [0, -10, 0, -10], [0, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 0], [0, -11, 0, -22], [0, 0, 0, 0], [56, 0, 5, 0], [0, 0, 0, 0], [0, 4, 0, 0], [0, 0, 0, 0], [-21, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 5, 0], [0, 0, 0, 0], [0, -20, 0, -40], [0, 0, 0, 0], [70, 0, -5, 0], [0, 0, 0, 0], [0, 35, 0, 0], [0, 0, 0, 0], [-90, 0, 0, 0], [0, 0, 0, 0], [0, 19, 0, 10], [0, 0, 0, 0], [0, 0, -10, 0], [0, 0, 0, 0], [0, 1, 0, 2], [0, 0, 0, 0], [-24, 0, -6, 0], [0, 0, 0, 0], [0, 10, 0, 0], [0, 0, 0, 0], [-30, 0, 0, 0], [0, 0, 0, 0], [0, -31, 0, -31], [0, 0, 0, 0], [0, 0, 10, 0], [0, 0, 0, 0], [0, 5, 0, 10], [0, 0, 0, 0], [-31, 0, -10, 0], [0, 0, 0, 0], [0, 9, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 25, 0, -20], [0, 0, 0, 0], [0, 0, 10, 0], [0, 0, 0, 0], [0, -10, 0, -20], [0, 0, 0, 0], [70, 0, -5, 0], [0, 0, 0, 0], [0, -70, 0, 0], [0, 0, 0, 0], [10, 0, 0, 0], [0, 0, 0, 0], [0, -5, 0, 40], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, 1, 0, 1], [0, 0, 1, 0], [0, 1, 0, 2], [0, -5, 0, 0], [-10, 0, 0, 0], [0, 0, 0, 0], [0, 5, 0, 10], [0, 6, 0, 0], [0, 0, -5, 0], [0, 5, 0, 10], [-10, 0, 0, 0], [0, 0, 2, 0], [0, -11, 0, -22], [0, 4, 0, 0], [0, 0, 5, 0], [0, 35, 0, 0], [-90, 0, 0, 0], [0, 1, 0, 2], [0, 10, 0, 0], [-30, 0, 0, 0], [0, 5, 0, 10], [0, 9, 0, 0], [0, 0, 10, 0], [10, 0, 0, 0], [0, 0, -15, 0], [0, 9, 0, 18], [0, -1, 0, 0], [70, 0, 0, 0], [0, 0, 20, 0], [0, 29, 0, 58], [0, 25, 0, 0], [0, 0, -30, 0], [0, 25, 0, 50], [0, 0, -3, 0], [0, -15, 0, -30], [-170, 0, 0, 0], [0, -19, 0, -38], [0, -86, 0, 0], [0, 0, 15, 0], [0, -75, 0, 0], [262, 0, 0, 0], [0, 120, 0, 0], [210, 0, 0, 0], [0, 0, 25, 0], [0, 65, 0, 130], [0, -55, 0, -110], [0, -59, 0, -118], [0, 21, 0, 0], [358, 0, 0, 0], [0, 0, 30, 0], [0, -60, 0, 0], [-110, 0, 0, 0], [0, -105, 0, 0], [0, 0, -40, 0], [0, -54, 0, 0], [0, 0, -57, 0], [0, -75, 0, -150], [-490, 0, 0, 0], [0, 0, 18, 0], [0, 1, 0, 2], [0, 0, -15, 0], [0, 9, 0, 18], [0, -90, 0, 0], [-230, 0, 0, 0], [0, 0, 75, 0], [0, 25, 0, 50], [-70, 0, 0, 0], [0, 191, 0, 0], [-298, 0, 0, 0], [0, 0, 40, 0], [0, -190, 0, 0], [0, 21, 0, 42], [-410, 0, 0, 0], [0, 125, 0, 250], [0, -56, 0, 0], [0, 0, 33, 0], [230, 0, 0, 0], [0, 0, 40, 0], [-590, 0, 0, 0], [0, -35, 0, 0], [70, 0, 0, 0], [0, 180, 0, 0], [10, 0, 0, 0], [0, -95, 0, -190], [0, 111, 0, 0], [0, 0, 28, 0], [-430, 0, 0, 0], [0, 0, 15, 0], [0, -19, 0, -38], [0, 49, 0, 0], [0, -120, 0, 0], [0, -71, 0, -142], [0, -185, 0, 0], [0, 105, 0, 210], [0, 294, 0, 0], [0, 0, 75, 0], [0, 0, -30, 0], [0, -171, 0, -342], [518, 0, 0, 0], [0, 189, 0, 378], [0, 0, 55, 0], [0, -231, 0, 0], [0, 0, -82, 0], [0, 65, 0, 130], [-390, 0, 0, 0], [0, 231, 0, 0], [0, 0, -60, 0], [0, -170, 0, 0], [130, 0, 0, 0], [0, 29, 0, 58], [630, 0, 0, 0], [0, 0, 150, 0], [0, 105, 0, 210], [0, 185, 0, 370], [0, 0, 52, 0], [0, -51, 0, -102], [0, -414, 0, 0], [0, 0, 95, 0], [0, 45, 0, 0], [-170, 0, 0, 0], [-310, 0, 0, 0], [0, 0, -175, 0], [0, 411, 0, 0], [0, 5, 0, 10], [0, 0, 3, 0], [182, 0, 0, 0], [0, -140, 0, 0], [0, 9, 0, 18], [-650, 0, 0, 0], [0, 65, 0, 130], [0, 234, 0, 0], [0, -115, 0, -230], [-1050, 0, 0, 0], [0, 0, -90, 0], [1138, 0, 0, 0], [0, 0, 105, 0], [0, -171, 0, -342], [0, 0, -165, 0], [0, 0, -110, 0], [0, 5, 0, 10], [0, 0, 13, 0], [0, 169, 0, 338], [0, -101, 0, 0], [-170, 0, 0, 0], [0, 250, 0, 0], [-570, 0, 0, 0], [0, 0, 70, 0], [0, -275, 0, -550], [0, 64, 0, 0], [-490, 0, 0, 0], [0, 0, 132, 0], [0, 181, 0, 362], [0, 486, 0, 0], [0, 101, 0, 202], [0, 60, 0, 0], [0, 105, 0, 210], [0, 0, 12, 0], [-1270, 0, 0, 0], [0, 0, -25, 0], [0, -99, 0, 0], [0, 0, 30, 0], [0, -39, 0, -78], [0, -605, 0, 0], [0, 0, 80, 0], [0, -546, 0, 0], [0, -115, 0, -230], [-810, 0, 0, 0]], 'char_orbit_index': 5, 'field_poly': [9, 0, 8, 0, 1], 'hecke_orbit_code': 22518273065091264, 'hecke_ring_character_values': [[127, [1, 0, 0, 0]], [133, [1, 0, 0, 0]], [65, [-1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 3, 3, 3], 'hecke_ring_inverse_denominators': [1, 4, 2, 4], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 1, 0], [-8, 1, 0, 2], [0, -11, -5, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, -10, 0, -2], [0, 22, 0, 2], [12, 5, 3, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '192.3.e.f', 'level': 192, 'maxp': 997, 'weight': 3}
• 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': 1728, 'analytic_conductor': 5.2316210757177, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': -1, 'char_values': [192, 2, [127, 133, 65], [2, 2, 1]], 'conrey_index': 65, 'cusp_dim': 52, 'dim': 14, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 274928238784, 'hecke_orbit_dims': [1, 1, 2, 2, 4, 4], 'label': '192.3.e', 'level': 192, '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], 'level_radical': 6, 'mf_dim': 76, 'mf_new_dim': 18, 'num_forms': 6, 'prim_orbit_index': 2, 'relative_dim': 14, 'sturm_bound': 96, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [14, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -146, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 308, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 404, 0, 0, 0, -98, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 0, 936, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, -716, 0, 0, 0, 0, 0, 0, 0, -1280, 0, 0, 0, -454, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -876, 0, 0, 0, 0, 0, 0, 0, 692, 0, 0, 0, 412, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 1536, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, -178, 0, 0, 0, 2132, 0, 0, 0, 0, 0, 0, 0, -396, 0, 0, 0, -292, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, -1024, 0, 0, 0, 0, 0, 0, 0, -2560, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -968, 0, 0, 0, -2796, 0, 0, 0, 0, 0, 0, 0, 1280, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 1256, 0, 0, 0, 0, 0, 0, 0, 2708, 0, 0, 0, 700, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 3028, 0, 0, 0, 0, 0, 0, 0, -1292, 0, 0, 0, 732, 0, 0, 0, 0, 0, 0, 0, 1024, 0, 0, 0, -1228, 0, 0, 0, 0, 0, 0, 0, -3840, 0, 0, 0, -454, 0, 0, 0, 0, 0, 0, 0, 1024, 0, 0, 0, -3436, 0, 0, 0, 0, 0, 0, 0, 1716, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -896, 0, 0, 0, 2292, 0, 0, 0, 0, 0, 0, 0, 4608, 0, 0, 0, -1732, 0, 0, 0, 0, 0, 0, 0, 284, 0, 0, 0, 4948, 0, 0, 0, 0, 0, 0, 0, -2304, 0, 0, 0, -1316, 0, 0, 0, 0, 0, 0, 0, -1574, 0, 0, 0, -3072, 0, 0, 0, 0, 0, 0, 0, -4652, 0, 0, 0, 1148, 0, 0, 0, 0, 0, 0, 0, -1152, 0, 0, 0, -5080, 0, 0, 0, 0, 0, 0, 0, 2048, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 1280, 0, 0, 0, 0, 0, 0, 0, 5888, 0, 0, 0, 2176, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 0, 5632, 0, 0, 0, 0, 0, 0, 0, -2828, 0, 0, 0, 2286, 0, 0, 0, 0, 0, 0, 0, 1920, 0, 0, 0, -2252, 0, 0, 0, 0, 0, 0, 0, -5804, 0, 0, 0, -1544, 0, 0, 0, 0, 0, 0, 0, 2816, 0, 0, 0, -8192, 0, 0, 0, 0, 0, 0, 0, 2304, 0, 0, 0, -1252, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 4072, 0, 0, 0, 0, 0, 0, 0, 7188, 0, 0, 0, -1604, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 5716, 0, 0, 0, 0, 0, 0, 0, -3328, 0, 0, 0, -3154, 0, 0, 0, 0, 0, 0, 0, -2884, 0, 0, 0, 796, 0, 0, 0, 0, 0, 0, 0, -7424, 0, 0, 0, 3072, 0, 0, 0, 0, 0, 0, 0, -3364, 0, 0, 0, -6636, 0, 0, 0, 0, 0, 0, 0, 2356, 0, 0, 0, -1764, 0, 0, 0, 0, 0, 0, 0, 2304, 0, 0, 0, 4864, 0, 0, 0, 0, 0, 0, 0, 8192, 0, 0, 0, 3584, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 7892, 0, 0, 0, 0, 0, 0, 0, -2816, 0, 0, 0, 1976, 0, 0, 0, 0, 0, 0, 0, 2398, 0, 0, 0, -5324, 0, 0, 0, 0, 0, 0, 0, -6744, 0, 0, 0, -896, 0, 0, 0, 0, 0, 0, 0, 4352, 0, 0, 0, -9324, 0, 0, 0, 0, 0, 0, 0, 2816, 0, 0, 0, 3228, 0, 0, 0, 0, 0, 0, 0, -3464, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 8192, 0, 0, 0, -2568, 0, 0, 0, 0, 0, 0, 0, 1280, 0, 0, 0, 7680, 0, 0, 0, 0, 0, 0, 0, -4748, 0, 0, 0, -6216, 0, 0, 0, 0, 0, 0, 0, -5376, 0, 0, 0, -4684, 0, 0, 0, 0, 0, 0, 0, -7468, 0, 0, 0, 1150, 0, 0, 0, 0, 0, 0, 0, -3236, 0, 0, 0, -9196, 0, 0, 0, 0, 0, 0, 0, 3328, 0, 0, 0, -1664, 0, 0, 0, 0, 0, 0, 0, 1788, 0, 0, 0, 4724, 0, 0, 0, 0, 0, 0, 0, 9216, 0, 0, 0, 3448, 0, 0, 0, 0, 0, 0, 0, -2048, 0, 0, 0, 6912, 0, 0, 0, 0, 0, 0, 0, -4608, 0, 0, 0, 7424, 0, 0, 0, 0, 0, 0, 0, 3900, 0, 0, 0, 2356, 0, 0, 0, 0, 0, 0, 0, -7680, 0, 0, 0, -3716, 0, 0, 0, 0, 0, 0, 0, 7040, 0, 0, 0, -4824, 0, 0, 0, 0, 0, 0, 0, 2816, 0, 0, 0, -598, 0, 0, 0, 0, 0, 0, 0, -2816, 0, 0, 0, 6632, 0, 0, 0, 0, 0, 0, 0, 7188, 0, 0, 0, -6016, 0, 0, 0, 0, 0, 0, 0, 2332, 0, 0, 0, 9044, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 156887
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '96.3.e.b', 'target_level': 96, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 156888
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '96.3.e.b', 'target_level': 96, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 156889
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '96.3.e.b', 'target_level': 96, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 156890
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '96.3.e.b', 'target_level': 96, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 3}
  • id: 156891
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '192.3.e.f', 'target_level': 192, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 156892
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '192.3.e.f', 'target_level': 192, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 156893
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '192.3.e.f', 'target_level': 192, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 156894
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '192.3.e.f', 'target_level': 192, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 156895
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 8, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '768.3.h.e', 'target_level': 768, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 3}
  • id: 156896
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 8, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '768.3.h.e', 'target_level': 768, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 156897
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 8, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '768.3.h.e', 'target_level': 768, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '48.i', 'twisting_char_orbit': 9, 'weight': 3}
  • id: 156898
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '192.3.e.f', 'source_level': 192, 'target_char_orbit': 8, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '768.3.h.e', 'target_level': 768, 'twist_class_label': '96.3.e.b', 'twist_class_level': 96, 'twisting_char_label': '48.k', 'twisting_char_orbit': 11, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 479175
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22518273065091264, 'p': 2}
  • id: 479176
    {'charpoly_factorization': [[[81, 0, -10, 0, 1], 1]], 'hecke_orbit_code': 22518273065091264, 'p': 3}
  • id: 479177
    {'charpoly_factorization': [[[56, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 5}
  • id: 479178
    {'charpoly_factorization': [[[-28, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 7}
  • id: 479179
    {'charpoly_factorization': [[[200, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 11}
  • id: 479180
    {'charpoly_factorization': [[[10, 1], 4]], 'hecke_orbit_code': 22518273065091264, 'p': 13}
  • id: 479181
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22518273065091264, 'p': 17}
  • id: 479182
    {'charpoly_factorization': [[[-700, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 19}
  • id: 479183
    {'charpoly_factorization': [[[288, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 23}
  • id: 479184
    {'charpoly_factorization': [[[1400, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 29}
  • id: 479185
    {'charpoly_factorization': [[[-700, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 31}
  • id: 479186
    {'charpoly_factorization': [[[10, 1], 4]], 'hecke_orbit_code': 22518273065091264, 'p': 37}
  • id: 479187
    {'charpoly_factorization': [[[224, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 41}
  • id: 479188
    {'charpoly_factorization': [[[-3388, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 43}
  • id: 479189
    {'charpoly_factorization': [[[128, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 47}
  • id: 479190
    {'charpoly_factorization': [[[1400, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 53}
  • id: 479191
    {'charpoly_factorization': [[[9800, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 59}
  • id: 479192
    {'charpoly_factorization': [[[90, 1], 4]], 'hecke_orbit_code': 22518273065091264, 'p': 61}
  • id: 479193
    {'charpoly_factorization': [[[-28, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 67}
  • id: 479194
    {'charpoly_factorization': [[[800, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 71}
  • id: 479195
    {'charpoly_factorization': [[[30, 1], 4]], 'hecke_orbit_code': 22518273065091264, 'p': 73}
  • id: 479196
    {'charpoly_factorization': [[[-700, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 79}
  • id: 479197
    {'charpoly_factorization': [[[648, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 83}
  • id: 479198
    {'charpoly_factorization': [[[5600, 0, 1], 2]], 'hecke_orbit_code': 22518273065091264, 'p': 89}
  • id: 479199
    {'charpoly_factorization': [[[-10, 1], 4]], 'hecke_orbit_code': 22518273065091264, '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': 5, 'hecke_orbit': 6, 'label': '192.3.e.f', 'level': 192, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 44370817
    {'hecke_orbit_code': 22518273065091264, 'n': 1, 'trace_an': 4}
  • id: 44370818
    {'hecke_orbit_code': 22518273065091264, 'n': 2, 'trace_an': 0}
  • id: 44370819
    {'hecke_orbit_code': 22518273065091264, 'n': 3, 'trace_an': 0}
  • id: 44370820
    {'hecke_orbit_code': 22518273065091264, 'n': 4, 'trace_an': 0}
  • id: 44370821
    {'hecke_orbit_code': 22518273065091264, 'n': 5, 'trace_an': 0}
  • id: 44370822
    {'hecke_orbit_code': 22518273065091264, 'n': 6, 'trace_an': 0}
  • id: 44370823
    {'hecke_orbit_code': 22518273065091264, 'n': 7, 'trace_an': 0}
  • id: 44370824
    {'hecke_orbit_code': 22518273065091264, 'n': 8, 'trace_an': 0}
  • id: 44370825
    {'hecke_orbit_code': 22518273065091264, 'n': 9, 'trace_an': 20}
  • id: 44370826
    {'hecke_orbit_code': 22518273065091264, 'n': 10, 'trace_an': 0}
  • id: 44370827
    {'hecke_orbit_code': 22518273065091264, 'n': 11, 'trace_an': 0}
  • id: 44370828
    {'hecke_orbit_code': 22518273065091264, 'n': 12, 'trace_an': 0}
  • id: 44370829
    {'hecke_orbit_code': 22518273065091264, 'n': 13, 'trace_an': -40}
  • id: 44370830
    {'hecke_orbit_code': 22518273065091264, 'n': 14, 'trace_an': 0}
  • id: 44370831
    {'hecke_orbit_code': 22518273065091264, 'n': 15, 'trace_an': 0}
  • id: 44370832
    {'hecke_orbit_code': 22518273065091264, 'n': 16, 'trace_an': 0}
  • id: 44370833
    {'hecke_orbit_code': 22518273065091264, 'n': 17, 'trace_an': 0}
  • id: 44370834
    {'hecke_orbit_code': 22518273065091264, 'n': 18, 'trace_an': 0}
  • id: 44370835
    {'hecke_orbit_code': 22518273065091264, 'n': 19, 'trace_an': 0}
  • id: 44370836
    {'hecke_orbit_code': 22518273065091264, 'n': 20, 'trace_an': 0}
  • id: 44370837
    {'hecke_orbit_code': 22518273065091264, 'n': 21, 'trace_an': 56}
  • id: 44370838
    {'hecke_orbit_code': 22518273065091264, 'n': 22, 'trace_an': 0}
  • id: 44370839
    {'hecke_orbit_code': 22518273065091264, 'n': 23, 'trace_an': 0}
  • id: 44370840
    {'hecke_orbit_code': 22518273065091264, 'n': 24, 'trace_an': 0}
  • id: 44370841
    {'hecke_orbit_code': 22518273065091264, 'n': 25, 'trace_an': -124}
  • id: 44370842
    {'hecke_orbit_code': 22518273065091264, 'n': 26, 'trace_an': 0}
  • id: 44370843
    {'hecke_orbit_code': 22518273065091264, 'n': 27, 'trace_an': 0}
  • id: 44370844
    {'hecke_orbit_code': 22518273065091264, 'n': 28, 'trace_an': 0}
  • id: 44370845
    {'hecke_orbit_code': 22518273065091264, 'n': 29, 'trace_an': 0}
  • id: 44370846
    {'hecke_orbit_code': 22518273065091264, 'n': 30, 'trace_an': 0}
  • id: 44370847
    {'hecke_orbit_code': 22518273065091264, 'n': 31, 'trace_an': 0}
  • id: 44370848
    {'hecke_orbit_code': 22518273065091264, 'n': 32, 'trace_an': 0}
  • id: 44370849
    {'hecke_orbit_code': 22518273065091264, 'n': 33, 'trace_an': 80}
  • id: 44370850
    {'hecke_orbit_code': 22518273065091264, 'n': 34, 'trace_an': 0}
  • id: 44370851
    {'hecke_orbit_code': 22518273065091264, 'n': 35, 'trace_an': 0}
  • id: 44370852
    {'hecke_orbit_code': 22518273065091264, 'n': 36, 'trace_an': 0}
  • id: 44370853
    {'hecke_orbit_code': 22518273065091264, 'n': 37, 'trace_an': -40}
  • id: 44370854
    {'hecke_orbit_code': 22518273065091264, 'n': 38, 'trace_an': 0}
  • id: 44370855
    {'hecke_orbit_code': 22518273065091264, 'n': 39, 'trace_an': 0}
  • id: 44370856
    {'hecke_orbit_code': 22518273065091264, 'n': 40, 'trace_an': 0}
  • id: 44370857
    {'hecke_orbit_code': 22518273065091264, 'n': 41, 'trace_an': 0}
  • id: 44370858
    {'hecke_orbit_code': 22518273065091264, 'n': 42, 'trace_an': 0}
  • id: 44370859
    {'hecke_orbit_code': 22518273065091264, 'n': 43, 'trace_an': 0}
  • id: 44370860
    {'hecke_orbit_code': 22518273065091264, 'n': 44, 'trace_an': 0}
  • id: 44370861
    {'hecke_orbit_code': 22518273065091264, 'n': 45, 'trace_an': 224}
  • id: 44370862
    {'hecke_orbit_code': 22518273065091264, 'n': 46, 'trace_an': 0}
  • id: 44370863
    {'hecke_orbit_code': 22518273065091264, 'n': 47, 'trace_an': 0}
  • id: 44370864
    {'hecke_orbit_code': 22518273065091264, 'n': 48, 'trace_an': 0}
  • id: 44370865
    {'hecke_orbit_code': 22518273065091264, 'n': 49, 'trace_an': -84}
  • id: 44370866
    {'hecke_orbit_code': 22518273065091264, 'n': 50, 'trace_an': 0}
  • id: 44370867
    {'hecke_orbit_code': 22518273065091264, 'n': 51, 'trace_an': 0}
  • id: 44370868
    {'hecke_orbit_code': 22518273065091264, 'n': 52, 'trace_an': 0}
  • id: 44370869
    {'hecke_orbit_code': 22518273065091264, 'n': 53, 'trace_an': 0}
  • id: 44370870
    {'hecke_orbit_code': 22518273065091264, 'n': 54, 'trace_an': 0}
  • id: 44370871
    {'hecke_orbit_code': 22518273065091264, 'n': 55, 'trace_an': 0}
  • id: 44370872
    {'hecke_orbit_code': 22518273065091264, 'n': 56, 'trace_an': 0}
  • id: 44370873
    {'hecke_orbit_code': 22518273065091264, 'n': 57, 'trace_an': 280}
  • id: 44370874
    {'hecke_orbit_code': 22518273065091264, 'n': 58, 'trace_an': 0}
  • id: 44370875
    {'hecke_orbit_code': 22518273065091264, 'n': 59, 'trace_an': 0}
  • id: 44370876
    {'hecke_orbit_code': 22518273065091264, 'n': 60, 'trace_an': 0}
  • id: 44370877
    {'hecke_orbit_code': 22518273065091264, 'n': 61, 'trace_an': -360}
  • id: 44370878
    {'hecke_orbit_code': 22518273065091264, 'n': 62, 'trace_an': 0}
  • id: 44370879
    {'hecke_orbit_code': 22518273065091264, 'n': 63, 'trace_an': 0}
  • id: 44370880
    {'hecke_orbit_code': 22518273065091264, 'n': 64, 'trace_an': 0}
  • id: 44370881
    {'hecke_orbit_code': 22518273065091264, 'n': 65, 'trace_an': 0}
  • id: 44370882
    {'hecke_orbit_code': 22518273065091264, 'n': 66, 'trace_an': 0}
  • id: 44370883
    {'hecke_orbit_code': 22518273065091264, 'n': 67, 'trace_an': 0}
  • id: 44370884
    {'hecke_orbit_code': 22518273065091264, 'n': 68, 'trace_an': 0}
  • id: 44370885
    {'hecke_orbit_code': 22518273065091264, 'n': 69, 'trace_an': -96}
  • id: 44370886
    {'hecke_orbit_code': 22518273065091264, 'n': 70, 'trace_an': 0}
  • id: 44370887
    {'hecke_orbit_code': 22518273065091264, 'n': 71, 'trace_an': 0}
  • id: 44370888
    {'hecke_orbit_code': 22518273065091264, 'n': 72, 'trace_an': 0}
  • id: 44370889
    {'hecke_orbit_code': 22518273065091264, 'n': 73, 'trace_an': -120}
  • id: 44370890
    {'hecke_orbit_code': 22518273065091264, 'n': 74, 'trace_an': 0}
  • id: 44370891
    {'hecke_orbit_code': 22518273065091264, 'n': 75, 'trace_an': 0}
  • id: 44370892
    {'hecke_orbit_code': 22518273065091264, 'n': 76, 'trace_an': 0}
  • id: 44370893
    {'hecke_orbit_code': 22518273065091264, 'n': 77, 'trace_an': 0}
  • id: 44370894
    {'hecke_orbit_code': 22518273065091264, 'n': 78, 'trace_an': 0}
  • id: 44370895
    {'hecke_orbit_code': 22518273065091264, 'n': 79, 'trace_an': 0}
  • id: 44370896
    {'hecke_orbit_code': 22518273065091264, 'n': 80, 'trace_an': 0}
  • id: 44370897
    {'hecke_orbit_code': 22518273065091264, 'n': 81, 'trace_an': -124}
  • id: 44370898
    {'hecke_orbit_code': 22518273065091264, 'n': 82, 'trace_an': 0}
  • id: 44370899
    {'hecke_orbit_code': 22518273065091264, 'n': 83, 'trace_an': 0}
  • id: 44370900
    {'hecke_orbit_code': 22518273065091264, 'n': 84, 'trace_an': 0}
  • id: 44370901
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