Newform data - 1776.2.bz.a

Formats: - HTML - YAML - JSON - 2026-08-12T19:02:12.887007

• 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': 7104, 'analytic_conductor': 14.181431398979397, 'analytic_rank': 1, 'analytic_rank_proved': True, 'char_conductor': 37, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 52, 'char_orbit_label': 'bz', 'char_order': 6, 'char_parity': 1, 'char_values': [1776, 6, [223, 1333, 593, 1297], [6, 6, 6, 5]], 'cm_discs': [], 'conrey_index': 529, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [12, 6, 1]], [11, [6, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 3504726869744, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 37, 5, 1, 6, 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': '1776.2.bz.a', 'level': 1776, '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, 37], 'level_radical': 222, 'minimal_twist': '444.2.r.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 5, 'qexp_display': 'q+\\zeta_{6}q^{3}+(-4+2\\zeta_{6})q^{5}+\\zeta_{6}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1776.2.bz', 'trace_display': [0, 1, -6, 1], 'trace_hash': 446072922767653972, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.926', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '11.222', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.112', 'prec': 10}, {'__RealLiteral__': 0, 'data': '92.935', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.186', 'prec': 10}, 'traces': [2, 0, 1, 0, -6, 0, 1, 0, -1, 0, -12, 0, 3, 0, -6, 0, 12, 0, -6, 0, -1, 0, 0, 0, 7, 0, -2, 0, 0, 0, 0, 0, -6, 0, -6, 0, -10, 0, 3, 0, -12, 0, 0, 0, 0, 0, -24, 0, 6, 0, 0, 0, -6, 0, 36, 0, -6, 0, 6, 0, 12, 0, -2, 0, -6, 0, -5, 0, 6, 0, 0, 0, 14, 0, 14, 0, -6, 0, -3, 0, -1, 0, 12, 0, -48, 0, -12, 0, 18, 0, 3, 0, -3, 0, 12, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21, 0, 1, 0, -24, 0, 12, 0, 0, 0, 0, 0, 50, 0, 12, 0, 0, 0, -7, 0, 21, 0, 0, 0, -6, 0, 6, 0, 0, 0, -5, 0, -12, 0, -18, 0, -24, 0, 12, 0, -36, 0, 17, 0, -12, 0, -6, 0, -13, 0, -12, 0, 6, 0, -30, 0, 36, 0, -12, 0, -10, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 5, 0, 12, 0, 42, 0, -72, 0, -1, 0, 0, 0, 0, 0, -12, 0, -12, 0, 0, 0, 5, 0, -12, 0, 72, 0, 6, 0, 36, 0, 26, 0, 0, 0, 42, 0, -3, 0, 7, 0, 24, 0, -34, 0, 7, 0, -6, 0, -5, 0, 6, 0, -24, 0, 72, 0, -3, 0, -24, 0, -3, 0, 1, 0, 0, 0, -6, 0, 24, 0, 0, 0, 0, 0, -24, 0, -36, 0, 1, 0, -12, 0, 18, 0, 0, 0, 0, 0, -24, 0, -29, 0, 0, 0, -42, 0, 0, 0, -3, 0, -36, 0, -3, 0, 24, 0, 12, 0, 31, 0, 3, 0, 18, 0, -24, 0, 12, 0, -6, 0, 21, 0, 0, 0, -24, 0, 50, 0, -6, 0, -36, 0, -51, 0, 6, 0, 30, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -12, 0, -45, 0, 11, 0, 30, 0, -5, 0, 0, 0, 0, 0, 26, 0, -12, 0, 0, 0, 26, 0, -3, 0, 6, 0, 0, 0, -12, 0, 72, 0, -7, 0, 25, 0, -42, 0, -7, 0, 24, 0, -12, 0, -1, 0, -12, 0, 12, 0, -20, 0, -14, 0, 42, 0, 36, 0, 21, 0, -18, 0, 24, 0, 0, 0, 6, 0, -22, 0, 0, 0, 0, 0, 3, 0, 6, 0, 60, 0, 3, 0, 0, 0, 0, 0, 0, 0, -10, 0, 18, 0, 0, 0, 12, 0, 84, 0, 12, 0, -18, 0, -48, 0, -76, 0, 24, 0, 12, 0, -21, 0, 6, 0, 36, 0, -72, 0, -18, 0, -60, 0, 72, 0, -17, 0, -12, 0, 36, 0, -12, 0, -24, 0, 27, 0, 6, 0, 0, 0, 5, 0, -26, 0, 0, 0, 0, 0, -6, 0, 30, 0, -21, 0, 6, 0, 6, 0, 0, 0, 0, 0, 12, 0, -48, 0, 0, 0, 0, 0, -18, 0, -12, 0, -18, 0, 0, 0, -20, 0, -6, 0, 7, 0, 6, 0, -12, 0, 144, 0, 0, 0, -12, 0, 75, 0, 7, 0, -12, 0, 22, 0, -6, 0, -36, 0, 0, 0, -12, 0, -36, 0, 0, 0, -5, 0, 84, 0, 0, 0, 0, 0, -24, 0, -3, 0, 18, 0, 60, 0, -21, 0, 0, 0, 0, 0, 96, 0, 1, 0, 0, 0, -5, 0, 18, 0, -42, 0, 60, 0, -9, 0, 24, 0, 36, 0, -6, 0, -30, 0, -6, 0, -24, 0, 36, 0, -24, 0, 9, 0, 30, 0, 23, 0, 10, 0, -150, 0, 30, 0, -12, 0, -36, 0, -2, 0, 0, 0, 6, 0, 2, 0, 0, 0, 0, 0, 11, 0, 36, 0, -36, 0, -81, 0, 13, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, -42, 0, 30, 0, -36, 0, -3, 0, 0, 0, 0, 0, -7, 0, -24, 0, -51, 0, 12, 0, 24, 0, 48, 0, -17, 0, -72, 0, -10, 0, -7, 0, -36, 0, 3, 0, -6, 0, -60, 0, 0, 0, 5, 0, 0, 0, -35, 0, 12, 0, 0, 0, 0, 0, -12, 0, 84, 0, 42, 0, 72, 0, 0, 0, 0, 0, 0, 0, 12, 0, 36, 0, 0, 0, 12, 0, -6, 0, -3, 0, 84, 0, 15, 0, 2, 0, 84, 0, -41, 0, -36, 0, 30, 0, 8, 0, -12, 0, -48, 0, 108, 0, 12, 0, 0, 0, -86, 0, -42, 0, -102, 0, -63, 0, -36, 0, -42, 0, 0, 0, 24, 0, 12, 0, 0, 0, 0, 0, -36, 0, 21, 0, 11, 0, 72, 0, 0, 0, 0, 0, 0, 0, -10, 0, -18, 0, 0, 0, 12, 0, 36, 0, -18, 0, -144, 0, -18, 0, -84, 0, -12, 0, -12, 0, -42, 0, 40, 0, -58, 0, 120, 0, 42, 0, -3, 0, 30, 0, -43, 0, -84, 0, 42, 0, 9, 0, 0, 0, 72, 0, 24, 0, 0, 0, 18, 0, -38, 0, 0, 0, 0, 0, 25, 0, -3, 0, -24, 0, -60, 0, 12, 0, 0, 0, 0, 0, 24, 0, 12, 0, 0, 0, -31, 0, 18, 0, -15, 0, 3, 0, -12, 0, -22, 0, -18, 0, -30, 0, -30, 0, -12, 0, 36, 0, -14, 0, 6, 0, 72, 0, -24, 0, 6, 0, -24, 0, -72, 0, 21, 0, -30, 0, 63, 0, 0, 0, 0, 0, -72, 0, -48, 0, 0, 0, 0, 0, 25, 0, 0, 0, -77, 0, -6, 0, -48, 0, 0, 0, 0, 0, 288, 0, -23, 0, 0, 0, 54, 0, -72, 0, 6, 0, -36, 0, 21, 0, 60, 0, -42, 0, 36, 0, 72, 0, 0, 0, 56, 0, 0, 0, -18, 0, 63, 0, -24, 0, -42, 0, -10, 0, 21, 0, 30, 0, -108, 0, 21, 0, -12, 0, 0, 0, 12, 0, -84, 0, 0, 0, 0, 0, 18, 0, -72, 0, 10, 0, -18, 0, 24, 0, 0, 0, 0, 0, -14, 0, 5, 0, 0, 0, 24, 0, 24, 0, -78, 0, -33, 0, 18, 0, -168, 0, -3, 0, 13, 0, 42, 0, 22, 0, -24, 0, 96, 0, -20, 0, -30, 0, -18, 0, -72, 0, 52, 0, -30, 0, 39, 0, -3, 0, -78, 0, -17, 0, 0, 0, 42, 0, -88, 0, 0, 0, 0, 0, -2, 0, -12, 0, 48, 0, -147, 0, 36, 0, 0, 0, 0, 0, -14, 0, 6, 0, 0, 0, -25, 0, 72, 0, 0, 0, -42, 0, 96, 0, -26, 0, 7, 0, 30, 0, -72, 0, 12, 0, -12, 0, 0, 0, -6, 0, 102, 0, 34, 0, 1, 0, -24, 0, -27, 0, -12, 0, -36, 0, -96, 0, -12, 0, 0, 0, 12, 0, -40, 0, 0, 0, 0, 0, -7, 0, 30, 0, 12, 0, 42, 0, 30, 0, 0, 0, 0, 0, 36, 0, -24, 0, 0, 0, -36, 0, 72, 0, -18, 0, -12, 0, 51, 0, 48, 0, -84, 0, 0, 0, 0, 0, 24, 0, -20, 0, 12, 0, 36, 0, 144, 0, -11, 0, -54, 0, 96, 0, 6, 0, 126, 0, 9, 0, 36, 0, 6, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 30, 0, 36, 0, -6, 0, -36, 0, -42, 0, 0, 0, 0, 0, -94, 0, 0, 0, 0, 0, -14, 0, -6, 0, 84, 0, 144, 0, -72, 0, 168, 0, -19, 0, -5, 0, -12, 0, -84, 0, 36, 0, -36, 0, -3, 0, -48, 0, -72, 0, -5, 0, 24, 0, 36, 0, 30, 0, 84, 0, 108, 0, 13, 0, 0, 0, -36, 0, 144, 0, 0, 0, 0, 0, -5, 0, -48, 0, 18, 0, -9, 0, -38, 0, 0, 0, 0, 0, 48, 0, -36, 0, 0, 0, -12, 0, 0, 0, -108, 0, -21, 0, -18, 0, 50, 0, -6, 0, 42, 0, -111, 0, 18, 0, -168, 0, 42, 0, -36, 0, 18, 0, 6, 0, 18, 0, -24, 0, 72, 0, -60, 0, 0, 0, -9, 0, -72, 0, 0, 0, 12, 0, -34, 0, 0, 0, 0, 0, -6, 0, 90, 0, 26, 0, 36, 0, 42, 0, 0, 0, 0, 0, -24, 0, 14, 0, 0, 0, 0, 0, -42, 0, 27, 0, 0, 0, 9, 0, 12, 0, 42, 0, 65, 0, -6, 0, -24, 0, 144, 0, 10, 0, -66, 0, 144, 0, -13, 0, 6, 0, -42, 0, -126, 0, 72, 0, 18, 0, -42, 0, 42, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -9, 0, -186, 0, -32, 0, 0, 0, 0, 0, -34, 0, -6, 0, 0, 0, -25, 0, -6, 0, 36, 0, -108, 0, 30, 0, -48, 0, 47, 0, 6, 0, 42, 0, 13, 0, -96, 0, 60, 0, -4, 0, -36, 0, 0, 0, -14, 0, 0, 0, 36, 0, 36, 0, -18, 0, 24, 0, 6, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -12, 0, 18, 0, -10, 0, 0, 0, 0, 0, -12, 0, 30, 0, 0, 0, -7, 0, -150, 0, -72, 0, 6, 0, -30, 0, -2, 0, 12, 0, 12, 0, 93, 0, 72, 0, -108, 0, 144, 0, 0, 0, -72, 0, -17, 0, 12, 0, 204, 0, -117, 0, 75, 0, 60, 0, 75, 0, -7, 0, 0, 0, 40, 0, -24, 0, 0, 0, 0, 0, 11, 0, -6, 0, -84, 0, -6, 0, 144, 0, 0, 0, 0, 0, -12, 0, 5, 0, 0, 0, -60, 0, -135, 0, -12, 0, -60, 0, 144, 0, -72, 0, -24, 0, -43, 0, -39, 0, 12, 0, 112, 0, -10, 0, -12, 0, 0, 0, 42, 0, -30, 0, 216, 0, -15, 0, -18, 0, 72, 0, -12, 0, 12, 0, 0, 0, 24, 0, 180, 0, 0, 0, 0, 0, -102, 0, 129, 0, -24, 0, 42, 0, 58, 0, 0, 0, 0, 0, -70, 0, 21, 0, 0, 0, -103, 0, 72, 0, 30, 0, -3, 0, 36, 0, -72, 0, -23, 0, 48, 0, -60, 0, 13, 0, 2, 0, 0, 0, 36, 0, 12, 0, 72, 0, -24, 0, -10, 0, -78, 0, 0, 0, 18, 0, -126, 0, -65, 0, 0, 0, 78, 0, -12, 0, 0, 0, 0, 0, -60, 0, -9, 0, 120, 0, -21, 0, 12, 0, 0, 0, 0, 0, 72, 0, -24, 0, 0, 0, 6, 0, -42, 0, -66, 0, -30, 0, -252, 0, -24, 0, 6, 0, 48, 0, -36, 0, -12, 0, 0, 0, 154, 0, 18, 0, 0, 0, 8, 0, 24, 0, 36, 0, -105, 0, 9, 0, 180, 0, -216, 0, -30, 0, 0, 0, 58, 0, 46, 0, 0, 0, 0, 0, 5, 0, -6, 0, -66, 0, -150, 0, 6, 0, 0, 0, 0, 0, -48, 0, 49, 0, 0, 0, -6, 0, 126, 0, -36, 0, 42, 0, 72, 0, -4, 0, -18, 0, 6, 0, -72, 0, -60, 0, -208, 0, 12, 0, -84, 0, 36, 0, 1, 0, 60, 0, 52, 0, -6, 0, 6, 0, -45, 0, -18, 0, 18, 0, 0, 0, -11, 0, -36, 0, 0, 0, 0, 0, -12, 0, -72, 0, 48, 0, 48, 0, 12, 0, 0, 0, 0, 0, -58, 0, -13, 0, 0, 0, 0, 0, 42, 0, -54, 0, -72, 0, 18, 0, 72, 0, -84, 0, 0, 0, 0, 0, -96, 0, 60, 0, -84, 0, 144, 0, 15, 0, -36, 0, -13, 0, -84, 0, -54, 0, 0, 0, 30, 0, 60, 0, 36, 0, 0, 0, -30, 0, 106, 0, 0, 0, 0, 0, -12, 0, 0, 0, 66, 0, 51, 0, 0, 0, 0, 0, 0, 0, -14, 0, 60, 0, 0, 0, 24, 0, 78, 0, -3, 0, -51, 0, 66, 0, 10, 0, -12, 0, -30, 0, 15, 0, 12, 0, -60, 0, -80, 0], 'weight': 2, '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, 1], [0, 0], [-4, 2], [0, 0], [0, 1], [0, 0], [-1, 1], [0, 0], [-6, 0], [0, 0], [2, -1], [0, 0], [-2, -2], [0, 0], [4, 4], [0, 0], [-4, 2], [0, 0], [-1, 1], [0, 0], [2, -4], [0, 0], [7, -7], [0, 0], [-1, 0], [0, 0], [-4, 8], [0, 0], [-1, 2], [0, 0], [0, -6], [0, 0], [-2, -2], [0, 0], [-3, -4], [0, 0], [1, 1], [0, 0], [0, -12], [0, 0], [7, -14], [0, 0], [2, -4], [0, 0], [-12, 0], [0, 0], [6, -6], [0, 0], [-4, 8], [0, 0], [-6, 6], [0, 0], [24, -12], [0, 0], [-2, -2], [0, 0], [2, 2], [0, 0], [8, -4], [0, 0], [-1, 0], [0, 0], [-6, 6], [0, 0], [0, -5], [0, 0], [4, -2], [0, 0], [0, 0], [0, 0], [7, 0], [0, 0], [7, 0], [0, 0], [0, -6], [0, 0], [-2, 1], [0, 0], [0, -1], [0, 0], [12, -12], [0, 0], [-24, 0], [0, 0], [-8, 4], [0, 0], [6, 6], [0, 0], [1, 1], [0, 0], [-2, 1], [0, 0], [12, -12], [0, 0], [1, -2], [0, 0], [6, -6], [0, 0]], 'ap': [[0, 0], [0, 1], [-4, 2], [0, 1], [-6, 0], [2, -1], [4, 4], [-4, 2], [2, -4], [-4, 8], [-1, 2], [-3, -4], [0, -12], [7, -14], [-12, 0], [-6, 6], [2, 2], [8, -4], [0, -5], [0, 0], [7, 0], [-2, 1], [12, -12], [6, 6], [1, -2], [0, 0], [-2, 4], [0, 0], [-7, -7], [-8, -8], [-7, 7], [0, 0], [0, 0], [-5, 5], [-18, 0], [0, 17], [-13, 13], [-10, -10], [-8, 4], [0, 0], [-4, 8], [0, 5], [6, -12], [-3, 6], [-12, 12], [3, -6], [13, 0], [-17, 0], [-4, 2], [0, -5], [-12, 0], [-8, -8], [-2, 1], [-14, 28], [-12, -12], [0, 18], [-12, 0], [-29, 29], [0, 0], [-12, -12], [-2, 1], [0, 18], [25, 0], [-12, -12], [-17, -17], [30, -30], [-15, -15], [0, -5], [-10, 20], [26, -26], [2, 2], [36, 0], [0, -7], [0, -1], [-20, 20], [28, -14], [-12, 6], [-11, 0], [12, -24], [1, 1], [18, -18], [-16, 32], [-32, 16], [-38, 0], [-14, 7], [18, 0], [-40, 20], [24, -12], [-8, -8], [18, -9], [-2, 4], [10, 10], [-2, 4], [6, 0], [-12, 6], [-6, -6], [-6, 6], [0, -12], [50, -25], [-13, 26], [-5, 10], [20, 20], [12, -24], [4, -8], [-5, 5], [20, 20], [-20, 10], [18, 0], [0, 30], [23, -23], [10, 10], [-2, 2], [6, -6], [1, 0], [-27, -27], [30, -30], [5, -10], [20, -10], [0, 0], [0, -24], [-34, 17], [0, -10], [-18, 0], [-20, -20], [-35, 35], [28, 28], [23, -46], [12, -12], [10, -5], [0, -41], [4, 0], [0, -48], [-43, 0], [-21, -21], [-42, 42], [-9, 18], [0, -36], [-5, 0], [-6, -6], [-28, 14], [0, 40], [0, 30], [-43, 43], [28, -14], [3, 3], [18, -18], [-20, -20], [8, -16], [-21, 42], [12, -12], [-11, 0], [0, -30], [-20, 10], [18, 0], [42, -21], [22, -44], [-11, 22], [0, -48], [-23, 23], [54, -54], [-12, -12], [-42, 42], [42, -21], [-42, 42], [10, 10], [-12, 12], [2, -4], [-24, -24], [-7, 0], [4, -8], [-26, -26], [-11, -11], [28, -14], [0, 22], [0, -20], [-20, 10], [13, 13], [42, -42], [-44, 0], [0, -2], [-10, 20], [48, -24], [0, 0], [64, -32], [0, 30], [-6, 0], [0, 34], [-18, 9], [-64, 32], [0, 30], [4, -8], [-36, 36], [34, -17], [0, 24], [0, 36], [-54, 54], [3, 3], [-8, 16], [0, 30], [-12, -12], [12, -24], [-47, 0], [-14, 14], [-19, 19], [-18, 0], [72, -36], [13, -13], [-36, 36], [-8, 16], [0, -5], [-3, -3], [36, -72], [-39, 78], [-36, 36], [-12, 6], [25, 0], [-74, 37], [-4, 8], [30, 30], [0, 42], [14, -14], [0, 65], [0, -66], [6, 6], [42, -42], [-8, 16], [0, 0], [0, 6], [0, -32], [18, -36], [-17, 0], [-25, 25], [47, -47], [30, 0], [0, -4], [0, 0], [-14, 14], [24, -12], [16, -8], [20, -40], [26, -52], [-9, 18], [-1, 0], [62, -31], [-54, 0], [-48, 24], [-78, 39], [20, 20], [40, -40], [2, -4], [-7, 14], [-6, 0], [-60, 60], [-90, 45], [-20, -20], [-24, 24], [0, -43], [56, 0], [-30, 30], [-35, 70], [43, 43], [14, 14], [0, 58], [-23, 23], [-40, 20], [0, 13], [0, 72], [-84, 42], [-65, 65], [10, -20], [-7, -7], [5, -10], [31, -62], [-22, -22], [77, 0], [0, 8], [18, 0], [-70, 35], [58, -58], [-2, -2], [-24, 0], [84, -42], [0, -60], [26, 0], [-15, -15], [18, -18], [39, -78], [-18, 0], [9, -18], [16, 16], [-24, 48], [-18, -18], [36, 0], [0, -36], [-13, 13], [-30, 30], [53, 0], [60, -60], [52, -26], [5, 0], [10, -5], [-30, 0], [-40, 0]], 'char_orbit_index': 52, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 3504726869744, 'hecke_ring_character_values': [[223, [1, 0]], [1333, [1, 0]], [593, [1, 0]], [1297, [0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1776.2.bz.a', 'level': 1776, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 7104, 'analytic_conductor': 14.181431398979397, 'char_conductor': 37, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 52, 'char_orbit_label': 'bz', 'char_order': 6, 'char_parity': 1, 'char_values': [1776, 6, [223, 1333, 593, 1297], [6, 6, 6, 5]], 'conrey_index': 529, 'cusp_dim': 584, 'dim': 76, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 3504726869744, 'hecke_orbit_dims': [2, 2, 2, 4, 4, 4, 6, 8, 8, 8, 8, 20], 'label': '1776.2.bz', 'level': 1776, '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, 37], 'level_radical': 222, 'mf_dim': 632, 'mf_new_dim': 76, 'num_forms': 12, 'prim_orbit_index': 5, 'relative_dim': 38, 'sturm_bound': 608, 'trace_bound': 11, 'trace_display': [0, -2, -6, -6], 'traces': [76, 0, -2, 0, -6, 0, -6, 0, -38, 0, -8, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 40, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 6, 0, -18, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 6, 0, 12, 0, 0, 0, -6, 0, 0, 0, 20, 0, -32, 0, -28, 0, 8, 0, -54, 0, -38, 0, 24, 0, 28, 0, 0, 0, -6, 0, 42, 0, -24, 0, 0, 0, 0, 0, 4, 0, -20, 0, 0, 0, 0, 0, -4, 0, -54, 0, -14, 0, 0, 0, -40, 0, 0, 0, 0, 0, 44, 0, 12, 0, 0, 0, -22, 0, 12, 0, -96, 0, -24, 0, 0, 0, 132, 0, -38, 0, -8, 0, 108, 0, 14, 0, 56, 0, -28, 0, 22, 0, 6, 0, 64, 0, -2, 0, 8, 0, 0, 0, 60, 0, -24, 0, 36, 0, 22, 0, 0, 0, -10, 0, -44, 0, 0, 0, 0, 0, 2, 0, 0, 0, 46, 0, -84, 0, 0, 0, 0, 0, 0, 0, -8, 0, -2, 0, 0, 0, -20, 0, 120, 0, 6, 0, -12, 0, 72, 0, -260, 0, -16, 0, 4, 0, -12, 0, 10, 0, -16, 0, 84, 0, 40, 0, 252, 0, 6, 0, -48, 0, 132, 0, 72, 0, 0, 0, -84, 0, 12, 0, -2, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -56, 0, -78, 0, 34, 0, -18, 0, 8, 0, 0, 0, 0, 0, -56, 0, -54, 0, 0, 0, -24, 0, -78, 0, 6, 0, 30, 0, -138, 0, 0, 0, -16, 0, 40, 0, 114, 0, -14, 0, -152, 0, 0, 0, -32, 0, -48, 0, -60, 0, -46, 0, -116, 0, 24, 0, -108, 0, -30, 0, 0, 0, -2, 0, 0, 0, -8, 0, -288, 0, 0, 0, 0, 0, -32, 0, 102, 0, 12, 0, 108, 0, -30, 0, 0, 0, 0, 0, 12, 0, 32, 0, 0, 0, 18, 0, -6, 0, 18, 0, 180, 0, -24, 0, 224, 0, 6, 0, -2, 0, 60, 0, 74, 0, 36, 0, -80, 0, 6, 0, 72, 0, 24, 0, 132, 0, 0, 0, -48, 0, 24, 0, -6, 0, -18, 0, -4, 0, 0, 0, 60, 0, -4, 0, 0, 0, 0, 0, 58, 0, 6, 0, 96, 0, -18, 0, -36, 0, 0, 0, 0, 0, 24, 0, 4, 0, 0, 0, 0, 0, -108, 0, -204, 0, 0, 0, 24, 0, -60, 0, -40, 0, -8, 0, -162, 0, -50, 0, 128, 0, 44, 0, 0, 0, 96, 0, 240, 0, -32, 0, 160, 0, 66, 0, 0, 0, 0, 0, 90, 0, 16, 0, 0, 0, 48, 0, -84, 0, 0, 0, 0, 0, -12, 0, -192, 0, -60, 0, -24, 0, -70, 0, 0, 0, 0, 0, 152, 0, -78, 0, 0, 0, 72, 0, 216, 0, 0, 0, 0, 0, -66, 0, -168, 0, 38, 0, 78, 0, 0, 0, -272, 0, -192, 0, 168, 0, 4, 0, 78, 0, -24, 0, -116, 0, -220, 0, 0, 0, -48, 0, 60, 0, 72, 0, -4, 0, 0, 0, -50, 0, 60, 0, 0, 0, 0, 0, -32, 0, 252, 0, 24, 0, 78, 0, -30, 0, 0, 0, 0, 0, 48, 0, -6, 0, 0, 0, -38, 0, 0, 0, 288, 0, 72, 0, -78, 0, 96, 0, 120, 0, 0, 0, -264, 0, 72, 0, -80, 0, 28, 0, -120, 0, 0, 0, -72, 0, 46, 0, 12, 0, -246, 0, 36, 0, 24, 0, -276, 0, -22, 0, 0, 0, -12, 0, 92, 0, 0, 0, 0, 0, -62, 0, -60, 0, 216, 0, -6, 0, 44, 0, 0, 0, 0, 0, -40, 0, 10, 0, 0, 0, -56, 0, -384, 0, 0, 0, 78, 0, 150, 0, 416, 0, 16, 0, -84, 0, -30, 0, 4, 0, 96, 0, -280, 0, 32, 0, -468, 0, 28, 0, 14, 0, 244, 0, -162, 0, -48, 0, 156, 0, -78, 0, -14, 0, 0, 0, 98, 0, -16, 0, 0, 0, 0, 0, 88, 0, -216, 0, -136, 0, 48, 0, 224, 0, 0, 0, 0, 0, -16, 0, 224, 0, 0, 0, 68, 0, 192, 0, -114, 0, -108, 0, 270, 0, 76, 0, 24, 0, 60, 0, -360, 0, 0, 0, 200, 0, 0, 0, 196, 0, -6, 0, 24, 0, -88, 0, 44, 0, 0, 0, 36, 0, -150, 0, 0, 0, -6, 0, 0, 0, -14, 0, 536, 0, 0, 0, 0, 0, -114, 0, 66, 0, -52, 0, 108, 0, -72, 0, 0, 0, 0, 0, 76, 0, 32, 0, 0, 0, -112, 0, 96, 0, -48, 0, -288, 0, 6, 0, -344, 0, -112, 0, 20, 0, -312, 0, -48, 0, 80, 0, 8, 0, -8, 0, -42, 0, 52, 0, -118, 0, 48, 0, 84, 0, 240, 0, 0, 0, 102, 0, -4, 0, 0, 0, -40, 0, -208, 0, 0, 0, 0, 0, -250, 0, -132, 0, -176, 0, 18, 0, 0, 0, 0, 0, 0, 0, 144, 0, -76, 0, 0, 0, 14, 0, -144, 0, 438, 0, -18, 0, -240, 0, -108, 0, 108, 0, 74, 0, 192, 0, -80, 0, -168, 0, -120, 0, 4, 0, 168, 0, -332, 0, 8, 0, -264, 0, 60, 0, -6, 0, 138, 0, -138, 0, 10, 0, 0, 0, -112, 0, 96, 0, 0, 0, 0, 0, 68, 0, 144, 0, -96, 0, -36, 0, 78, 0, 0, 0, 0, 0, 128, 0, 122, 0, 0, 0, 130, 0, -444, 0, 0, 0, 84, 0, -144, 0, 256, 0, -36, 0, 36, 0, 0, 0, 240, 0, 44, 0, 8, 0, -26, 0, -162, 0, -8, 0, -8, 0, -432, 0, 42, 0, 120, 0, -12, 0, 54, 0, 8, 0, 0, 0, 104, 0, 160, 0, 0, 0, 0, 0, 124, 0, 456, 0, 28, 0], 'weight': 2, '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: 810466
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 52, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1776.2.bz.a', 'source_level': 1776, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '444.2.r.a', 'target_level': 444, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 810467
    {'conductor': 148, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 52, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1776.2.bz.a', 'source_level': 1776, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '444.2.r.a', 'target_level': 444, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '148.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 810468
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 52, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1776.2.bz.a', 'source_level': 1776, 'target_char_orbit': 35, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1332.2.bi.f', 'target_level': 1332, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 810469
    {'conductor': 444, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 52, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1776.2.bz.a', 'source_level': 1776, 'target_char_orbit': 35, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1332.2.bi.f', 'target_level': 1332, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '444.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 810470
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 52, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1776.2.bz.a', 'source_level': 1776, 'target_char_orbit': 52, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1776.2.bz.a', 'target_level': 1776, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 810471
    {'conductor': 37, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 52, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1776.2.bz.a', 'source_level': 1776, 'target_char_orbit': 52, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1776.2.bz.a', 'target_level': 1776, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '37.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2199525
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 3504726869744, 'p': 2}
  • id: 2199526
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 3}
  • id: 2199527
    {'charpoly_factorization': [[[12, 6, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 5}
  • id: 2199528
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 7}
  • id: 2199529
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 3504726869744, 'p': 11}
  • id: 2199530
    {'charpoly_factorization': [[[3, -3, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 13}
  • id: 2199531
    {'charpoly_factorization': [[[48, -12, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 17}
  • id: 2199532
    {'charpoly_factorization': [[[12, 6, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 19}
  • id: 2199533
    {'charpoly_factorization': [[[12, 0, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 23}
  • id: 2199534
    {'charpoly_factorization': [[[48, 0, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 29}
  • id: 2199535
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 31}
  • id: 2199536
    {'charpoly_factorization': [[[37, 10, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 37}
  • id: 2199537
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 41}
  • id: 2199538
    {'charpoly_factorization': [[[147, 0, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 43}
  • id: 2199539
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 3504726869744, 'p': 47}
  • id: 2199540
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 53}
  • id: 2199541
    {'charpoly_factorization': [[[12, -6, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 59}
  • id: 2199542
    {'charpoly_factorization': [[[48, -12, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 61}
  • id: 2199543
    {'charpoly_factorization': [[[25, 5, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 67}
  • id: 2199544
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 3504726869744, 'p': 71}
  • id: 2199545
    {'charpoly_factorization': [[[-7, 1], 2]], 'hecke_orbit_code': 3504726869744, 'p': 73}
  • id: 2199546
    {'charpoly_factorization': [[[3, 3, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 79}
  • id: 2199547
    {'charpoly_factorization': [[[144, -12, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 83}
  • id: 2199548
    {'charpoly_factorization': [[[108, -18, 1], 1]], 'hecke_orbit_code': 3504726869744, 'p': 89}
  • id: 2199549
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 3504726869744, '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': 52, 'hecke_orbit': 1, 'label': '1776.2.bz.a', 'level': 1776, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 15149052
    {'hecke_orbit_code': 3504726869744, 'n': 1, 'trace_an': 2}
  • id: 15149053
    {'hecke_orbit_code': 3504726869744, 'n': 2, 'trace_an': 0}
  • id: 15149054
    {'hecke_orbit_code': 3504726869744, 'n': 3, 'trace_an': 1}
  • id: 15149055
    {'hecke_orbit_code': 3504726869744, 'n': 4, 'trace_an': 0}
  • id: 15149056
    {'hecke_orbit_code': 3504726869744, 'n': 5, 'trace_an': -6}
  • id: 15149057
    {'hecke_orbit_code': 3504726869744, 'n': 6, 'trace_an': 0}
  • id: 15149058
    {'hecke_orbit_code': 3504726869744, 'n': 7, 'trace_an': 1}
  • id: 15149059
    {'hecke_orbit_code': 3504726869744, 'n': 8, 'trace_an': 0}
  • id: 15149060
    {'hecke_orbit_code': 3504726869744, 'n': 9, 'trace_an': -1}
  • id: 15149061
    {'hecke_orbit_code': 3504726869744, 'n': 10, 'trace_an': 0}
  • id: 15149062
    {'hecke_orbit_code': 3504726869744, 'n': 11, 'trace_an': -12}
  • id: 15149063
    {'hecke_orbit_code': 3504726869744, 'n': 12, 'trace_an': 0}
  • id: 15149064
    {'hecke_orbit_code': 3504726869744, 'n': 13, 'trace_an': 3}
  • id: 15149065
    {'hecke_orbit_code': 3504726869744, 'n': 14, 'trace_an': 0}
  • id: 15149066
    {'hecke_orbit_code': 3504726869744, 'n': 15, 'trace_an': -6}
  • id: 15149067
    {'hecke_orbit_code': 3504726869744, 'n': 16, 'trace_an': 0}
  • id: 15149068
    {'hecke_orbit_code': 3504726869744, 'n': 17, 'trace_an': 12}
  • id: 15149069
    {'hecke_orbit_code': 3504726869744, 'n': 18, 'trace_an': 0}
  • id: 15149070
    {'hecke_orbit_code': 3504726869744, 'n': 19, 'trace_an': -6}
  • id: 15149071
    {'hecke_orbit_code': 3504726869744, 'n': 20, 'trace_an': 0}
  • id: 15149072
    {'hecke_orbit_code': 3504726869744, 'n': 21, 'trace_an': -1}
  • id: 15149073
    {'hecke_orbit_code': 3504726869744, 'n': 22, 'trace_an': 0}
  • id: 15149074
    {'hecke_orbit_code': 3504726869744, 'n': 23, 'trace_an': 0}
  • id: 15149075
    {'hecke_orbit_code': 3504726869744, 'n': 24, 'trace_an': 0}
  • id: 15149076
    {'hecke_orbit_code': 3504726869744, 'n': 25, 'trace_an': 7}
  • id: 15149077
    {'hecke_orbit_code': 3504726869744, 'n': 26, 'trace_an': 0}
  • id: 15149078
    {'hecke_orbit_code': 3504726869744, 'n': 27, 'trace_an': -2}
  • id: 15149079
    {'hecke_orbit_code': 3504726869744, 'n': 28, 'trace_an': 0}
  • id: 15149080
    {'hecke_orbit_code': 3504726869744, 'n': 29, 'trace_an': 0}
  • id: 15149081
    {'hecke_orbit_code': 3504726869744, 'n': 30, 'trace_an': 0}
  • id: 15149082
    {'hecke_orbit_code': 3504726869744, 'n': 31, 'trace_an': 0}
  • id: 15149083
    {'hecke_orbit_code': 3504726869744, 'n': 32, 'trace_an': 0}
  • id: 15149084
    {'hecke_orbit_code': 3504726869744, 'n': 33, 'trace_an': -6}
  • id: 15149085
    {'hecke_orbit_code': 3504726869744, 'n': 34, 'trace_an': 0}
  • id: 15149086
    {'hecke_orbit_code': 3504726869744, 'n': 35, 'trace_an': -6}
  • id: 15149087
    {'hecke_orbit_code': 3504726869744, 'n': 36, 'trace_an': 0}
  • id: 15149088
    {'hecke_orbit_code': 3504726869744, 'n': 37, 'trace_an': -10}
  • id: 15149089
    {'hecke_orbit_code': 3504726869744, 'n': 38, 'trace_an': 0}
  • id: 15149090
    {'hecke_orbit_code': 3504726869744, 'n': 39, 'trace_an': 3}
  • id: 15149091
    {'hecke_orbit_code': 3504726869744, 'n': 40, 'trace_an': 0}
  • id: 15149092
    {'hecke_orbit_code': 3504726869744, 'n': 41, 'trace_an': -12}
  • id: 15149093
    {'hecke_orbit_code': 3504726869744, 'n': 42, 'trace_an': 0}
  • id: 15149094
    {'hecke_orbit_code': 3504726869744, 'n': 43, 'trace_an': 0}
  • id: 15149095
    {'hecke_orbit_code': 3504726869744, 'n': 44, 'trace_an': 0}
  • id: 15149096
    {'hecke_orbit_code': 3504726869744, 'n': 45, 'trace_an': 0}
  • id: 15149097
    {'hecke_orbit_code': 3504726869744, 'n': 46, 'trace_an': 0}
  • id: 15149098
    {'hecke_orbit_code': 3504726869744, 'n': 47, 'trace_an': -24}
  • id: 15149099
    {'hecke_orbit_code': 3504726869744, 'n': 48, 'trace_an': 0}
  • id: 15149100
    {'hecke_orbit_code': 3504726869744, 'n': 49, 'trace_an': 6}
  • id: 15149101
    {'hecke_orbit_code': 3504726869744, 'n': 50, 'trace_an': 0}
  • id: 15149102
    {'hecke_orbit_code': 3504726869744, 'n': 51, 'trace_an': 0}
  • id: 15149103
    {'hecke_orbit_code': 3504726869744, 'n': 52, 'trace_an': 0}
  • id: 15149104
    {'hecke_orbit_code': 3504726869744, 'n': 53, 'trace_an': -6}
  • id: 15149105
    {'hecke_orbit_code': 3504726869744, 'n': 54, 'trace_an': 0}
  • id: 15149106
    {'hecke_orbit_code': 3504726869744, 'n': 55, 'trace_an': 36}
  • id: 15149107
    {'hecke_orbit_code': 3504726869744, 'n': 56, 'trace_an': 0}
  • id: 15149108
    {'hecke_orbit_code': 3504726869744, 'n': 57, 'trace_an': -6}
  • id: 15149109
    {'hecke_orbit_code': 3504726869744, 'n': 58, 'trace_an': 0}
  • id: 15149110
    {'hecke_orbit_code': 3504726869744, 'n': 59, 'trace_an': 6}
  • id: 15149111
    {'hecke_orbit_code': 3504726869744, 'n': 60, 'trace_an': 0}
  • id: 15149112
    {'hecke_orbit_code': 3504726869744, 'n': 61, 'trace_an': 12}
  • id: 15149113
    {'hecke_orbit_code': 3504726869744, 'n': 62, 'trace_an': 0}
  • id: 15149114
    {'hecke_orbit_code': 3504726869744, 'n': 63, 'trace_an': -2}
  • id: 15149115
    {'hecke_orbit_code': 3504726869744, 'n': 64, 'trace_an': 0}
  • id: 15149116
    {'hecke_orbit_code': 3504726869744, 'n': 65, 'trace_an': -6}
  • id: 15149117
    {'hecke_orbit_code': 3504726869744, 'n': 66, 'trace_an': 0}
  • id: 15149118
    {'hecke_orbit_code': 3504726869744, 'n': 67, 'trace_an': -5}
  • id: 15149119
    {'hecke_orbit_code': 3504726869744, 'n': 68, 'trace_an': 0}
  • id: 15149120
    {'hecke_orbit_code': 3504726869744, 'n': 69, 'trace_an': 6}
  • id: 15149121
    {'hecke_orbit_code': 3504726869744, 'n': 70, 'trace_an': 0}
  • id: 15149122
    {'hecke_orbit_code': 3504726869744, 'n': 71, 'trace_an': 0}
  • id: 15149123
    {'hecke_orbit_code': 3504726869744, 'n': 72, 'trace_an': 0}
  • id: 15149124
    {'hecke_orbit_code': 3504726869744, 'n': 73, 'trace_an': 14}
  • id: 15149125
    {'hecke_orbit_code': 3504726869744, 'n': 74, 'trace_an': 0}
  • id: 15149126
    {'hecke_orbit_code': 3504726869744, 'n': 75, 'trace_an': 14}
  • id: 15149127
    {'hecke_orbit_code': 3504726869744, 'n': 76, 'trace_an': 0}
  • id: 15149128
    {'hecke_orbit_code': 3504726869744, 'n': 77, 'trace_an': -6}
  • id: 15149129
    {'hecke_orbit_code': 3504726869744, 'n': 78, 'trace_an': 0}
  • id: 15149130
    {'hecke_orbit_code': 3504726869744, 'n': 79, 'trace_an': -3}
  • id: 15149131
    {'hecke_orbit_code': 3504726869744, 'n': 80, 'trace_an': 0}
  • id: 15149132
    {'hecke_orbit_code': 3504726869744, 'n': 81, 'trace_an': -1}
  • id: 15149133
    {'hecke_orbit_code': 3504726869744, 'n': 82, 'trace_an': 0}
  • id: 15149134
    {'hecke_orbit_code': 3504726869744, 'n': 83, 'trace_an': 12}
  • id: 15149135
    {'hecke_orbit_code': 3504726869744, 'n': 84, 'trace_an': 0}
  • id: 15149136
    {'hecke_orbit_code': 3504726869744, 'n': 85, 'trace_an': -48}
  • id: 15149137
    {'hecke_orbit_code': 3504726869744, 'n': 86, 'trace_an': 0}
  • id: 15149138
    {'hecke_orbit_code': 3504726869744, 'n': 87, 'trace_an': -12}
  • id: 15149139
    {'hecke_orbit_code': 3504726869744, 'n': 88, 'trace_an': 0}
  • id: 15149140
    {'hecke_orbit_code': 3504726869744, 'n': 89, 'trace_an': 18}
  • id: 15149141
    {'hecke_orbit_code': 3504726869744, 'n': 90, 'trace_an': 0}
  • id: 15149142
    {'hecke_orbit_code': 3504726869744, 'n': 91, 'trace_an': 3}
  • id: 15149143
    {'hecke_orbit_code': 3504726869744, 'n': 92, 'trace_an': 0}
  • id: 15149144
    {'hecke_orbit_code': 3504726869744, 'n': 93, 'trace_an': -3}
  • id: 15149145
    {'hecke_orbit_code': 3504726869744, 'n': 94, 'trace_an': 0}
  • id: 15149146
    {'hecke_orbit_code': 3504726869744, 'n': 95, 'trace_an': 12}
  • id: 15149147
    {'hecke_orbit_code': 3504726869744, 'n': 96, 'trace_an': 0}
  • id: 15149148
    {'hecke_orbit_code': 3504726869744, 'n': 97, 'trace_an': 0}
  • id: 15149149
    {'hecke_orbit_code': 3504726869744, 'n': 98, 'trace_an': 0}
  • id: 15149150
    {'hecke_orbit_code': 3504726869744, 'n': 99, 'trace_an': 6}
  • id: 15149151
    {'hecke_orbit_code': 3504726869744, 'n': 100, 'trace_an': 0}